Note: Descriptions are shown in the official language in which they were submitted.
MODELING ANALYSIS METHOD FOR DEVICE MANAGEMENT
NETWORK, AND NETWORK MODEL UPDATING METHOD
[001] This application claims priority to Chinese Patent Application No.
202110174547.3,
filed on February 8, 2021, which is incorporated herein by reference in its
entirety.
TECHNICAL FIELD
[002] The embodiments in the present disclosure relates to a modeling analysis
method for a
device management network, an analysis method for operating range, an update
method for a
network model, a user terminal, and a network server.
BACKGROUND
[003] With the rapid development of information technology, simulating
operation laws of
various existing social systems through simulation modeling has become an
important means to
improve management efficiency. In device management networks running in real
life, either
physical connection or logical connection between devices reflects a kind of
device operation
law. Therefore, by analyzing various devices in the system, automatic modeling
of corresponding
network models and analysis based on the network models can be completed.
SUMMARY
[004] At least one embodiment of the present disclosure provides a modeling
analysis method
for a device management network, applying to a user terminal, and the method
includes:
collecting, through the user terminal, position information, type information,
and status
information of a physical node, where the collecting is achieved by one of
user inputting, a
positioning function of the user terminal, and acquiring the position
information, the type
information, and the status information of a physical node through
photographing and automatic
recognition functions of the user terminal; automatically constructing,
according to a first
predetermined rule, a physical layer model based on position information and
type information
of a plurality of the physical node to automatically connect the plurality of
the physical node into
a line, and automatically displaying the plurality of the physical node and
the line between the
plurality of the physical node at a corresponding position on an electronic
map as background;
and automatically constructing, according to a second predetermined rule, a
logical layer model
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based on the type information and the status information of the plurality of
the physical node to
construct a network model.
[005] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the automatically constructing,
according to a first
predetermined rule, a physical layer model based on position information and
type information
of a plurality of the physical node includes: when position information and/or
type information
of a physical node is changed through the user terminal, with the electronic
map as background,
automatically disconnecting a line, among original lines, failing to conform
to the first
predetermined rule based on changed information, and automatically connecting,
according to
the first predetermined rule, a line between a changed physical node and an
adjacent physical
node of the changed physical node.
[006] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the automatically constructing,
according to a first
predetermined rule, a physical layer model based on position information and
type information
of a plurality of the physical node includes: while the user terminal remains
mobile, in response
to collecting position information and the type information of a physical
node, real-time
displaying the physical node and a line, automatically generated, between the
physical node and
an adjacent physical node of the physical node.
[007] For example, the modeling analysis method provided by at least one
embodiment of the
present disclosure further includes: collecting position information of an
additional node, and
acquiring type information and status information of the additional node;
constructing an
additional layer model based on the position information, the type
information, and the state
information of the additional node for expanding the network model; and with
the electronic map
as background, automatically displaying the type information and the state
information of the
additional node at a corresponding position.
For example, according to the modeling analysis method provided by at least
one
embodiment of the present disclosure, the automatically constructing,
according to a second
predetermined rule, a logical layer model based on the type information and
the status
information of the physical node includes: determining, based on the type
information and the
state information of the plurality of the physical node, a physical node
meeting a first
predetermined condition among the plurality of the physical node displayed on
the electronic
map as a logical node; and automatically constructing, according to the second
predetermined
rule, a topological relationship between a plurality of the logical node based
on type information
and state information of the plurality of the logical node.
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[008] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, construction of the physical layer model
and construction
of the logical layer model are executed synchronously.
[009] For example, the modeling analysis method provided by at least one
embodiment of the
present disclosure further includes: automatically displaying a direction of a
signal or a fluid in
the device management network on the electronic map based on a topological
relationship
between logical nodes in the logical layer model.
[010] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the automatically displaying a direction
of a signal or a
fluid in the device management network on the electronic map includes: on the
electronic map,
displaying the direction of the signal or the fluid in the device management
network through an
arrow.
[011] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the device management network is a power
grid
management network, and the direction of the signal or the fluid in the device
management
network is a direction of power supply in the power grid management network.
[012] For example, the modeling analysis method provided by at least one
embodiment of the
present disclosure further includes: displaying a simulation analysis result
in response to an
analysis function in a scene interface being triggered.
[013] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the displaying a simulation analysis
result in response to
an analysis function in a scene interface being triggered includes: displaying
the simulation
analysis result by changing a color of the line in response to the analysis
function in the scene
interface being triggered.
[014] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the displaying a simulation analysis
result in response to
an analysis function in a scene interface being triggered is automatically
executed online in
real-time through the user terminal.
[015] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the collecting, through the user
terminal, position
information, type information, and status information of the physical node is
executed online in
real-time through mobile internet.
[016] At least one embodiment of the present disclosure further provides a
modeling analysis
method according to the above embodiments, where the device management network
is a power
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grid management network, and the method includes: collecting, through the user
terminal,
position information, type information, and status information of a power grid
device, where the
collecting includes one of the user inputting, the positioning function of the
user terminal, and
acquiring the position information, the type information, and the status
information of the power
grid device through the photographing and automatic recognition functions of
the user terminal;
automatically constructing, according to the first predetermined rule, a
physical layer model
based on position information and type information of a plurality of the power
grid device to
automatically connect the plurality of power grid devices into a line, and
automatically
displaying the plurality of the power grid device and the line between the
plurality of the power
grid device at a corresponding position on the electronic map as background;
automatically
constructing, according to the second predetermined rule, a logical layer
model based on type
information and status information of the plurality of the power grid device
to construct the
network model; and displaying a power outage analysis result in response to a
power outage
analysis function in a scene interface being triggered.
[017] At least one embodiment of the present disclosure further provides a
modeling analysis
method for a device management network, applying to a simulation analysis
server, and the
method includes: receiving position information, type information, and status
information of a
physical node; automatically constructing, according to a first predetermined
rule, a physical
layer model based on position information and type information of a plurality
of the physical
node to automatically connect the plurality of the physical node into a line,
where the physical
layer model is used for automatically displaying the plurality of the physical
node and the line
between the plurality of the physical node at a corresponding position on an
electronic map as
background; automatically constructing, according to a second predetermined
rule, a logical
layer model based on the type information and the status information of the
plurality of the
physical node to construct a network model; and generating a simulation
analysis result in
response to receiving request data.
[018] For example, the modeling analysis method provided by at least one
embodiment of the
present disclosure further includes: receiving the position information, the
type information, and
the status information of the plurality of the physical node from a user
terminal for constructing
the network model on a simulation analysis server; and sending the simulation
analysis result to
the user terminal.
[019] For example, according to the modeling analysis method provided by at
least one
embodiment of the present disclosure, the receiving the position information,
the type
information, and the status information of the plurality of the physical node
from a user terminal
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includes: receiving the position information, the type information, and the
status information of
the plurality of the physical node from the user terminal through mobile
internet; and the sending
the simulation analysis result to the user terminal includes: sending the
simulation analysis result
to the user terminal through the mobile internet.
[020] At least one embodiment of the present disclosure further provides an
analysis method
for operating range based on a modeling analysis method above, and the method
includes:
analyzing an operating line corresponding to a physical node in a network
model based on the
network model composed of the physical node and the line; and automatically
connecting each
end node of the operating line, and forming, according to a third
predetermined rule, a closed
region corresponding to the physical node on an electronic map, where the
closed region is the
operating range corresponding to the physical node.
[021] For example, the analysis method for operating range provided by at
least one
embodiment of the present disclosure further includes: sending information, at
least including an
image and text, to a user within the operating range corresponding to the
physical node.
[022] For example, according to the analysis method for operating range
provided by at least
one embodiment of the present disclosure, the sending information to a user
within the operating
range corresponding to the physical node includes: sending the information to
the user within the
operating range corresponding to the physical node in response to physical
node failure, where
the information includes a failure line name, a failure range, and an
estimated fault processing
time.
[023] At least one embodiment of the present disclosure further provides an
update method for
a network model, and the method includes: dividing an electronic map into a
plurality of regions;
during a network update process, generating a corresponding network model for
each of a
plurality of user terminals respectively to form a plurality of network models
when receiving
node information for different content of the same region from the plurality
of user terminals;
selecting, according to a second predetermined condition, a network model from
the plurality of
network models and saving the network model as a layer, and use the layer as a
submission layer
corresponding to the current time; and selecting, according to a third
predetermined condition, a
submission layer from a plurality of submission layers as a time layer for
updating the network
model when a number of saved submission layers reaches a threshold or after a
scheduled time
from the first submission layer.
[024] For example, according to the update method for a network model provided
by at least
one embodiment of the present disclosure, the second predetermined condition
and the third
predetermined condition include at least one of the following: the number of
the physical nodes
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included in the network model is the largest ; the area of the map region
included in the network
model is the largest; the map line included in the network model is the
longest; the types of the
physical nodes included in the network model is the most.
[025] For example, according to the update method for a network model provided
by at least
one embodiment of the present disclosure, the network model includes a road
network model.
[026] At least one embodiment of the present disclosure further provides a
user terminal, and
the user terminal includes a processor and a memory, where the memory stores
instructions, and
when the processor executes the instructions, the user terminal executes the
method above.
[027] At least one embodiment of the present disclosure further provides a
network server,
and the network server includes a processor and a memory, where the memory
stores instructions,
and when the processor executes the instructions, the network server executes
the method above.
BRIEF DESCRIPTION OF THE DRAWINGS
[028] To illustrate the technical solution of embodiments of the present
disclosure clearer, the
drawings of the embodiments will be briefly introduced below. Obviously, the
drawings only
relate to some embodiments of the present disclosure, and do not intend to
limit the present
disclosure.
[029] FIG. 1 is a schematic diagram of system simulation provided by at least
one
embodiment of the present disclosure.
[030] FIG. 2 is an architecture diagram of a device management system provided
by at least
one embodiment of the present disclosure.
[031] FIG. 3 is a flowchart of a modeling analysis method for a device
management network
provided by at least one embodiment of the present disclosure.
[032] FIG. 4 is a schematic diagram of a physical layer model of a power grid
provided by at
least one embodiment of the present disclosure.
[033] FIG. 5 is a flowchart corresponding to step S103 in a modeling analysis
method
provided by at least one embodiment of the present disclosure.
[034] FIG. 6 is a schematic diagram of a logic layer model of a power grid
provided by at
least one embodiment of the present disclosure.
[035] FIG. 7 is a schematic diagram of an additional layer model of a power
grid provided by
at least one embodiment of the present disclosure.
[036] FIG. 8A is a hierarchical schematic diagram of a system structure
provided by at least
one embodiment of the present disclosure.
[037] FIG. 8B is a schematic diagram of a simulation system model provided by
at least one
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embodiment of the present disclosure.
[038] FIG. 8C is a diagram of a power grid system provided by at least one
embodiment of the
present disclosure.
[039] FIG. 9A is a schematic diagram of dual power supply provided by at least
one
embodiment of the present disclosure.
[040] FIG. 9B is a schematic diagram of dual power supply conversion provided
by at least
one embodiment of the present disclosure.
[041] FIG. 10 is a schematic diagram of power grid fault location provided by
at least one
embodiment of the present disclosure.
[042] FIG. 11 is an analysis diagram of power supply range provided by at
least one
embodiment of the present disclosure.
DETAILED DESCRIPTIONS OF THE EMBODIMENTS
[043] In order to make the purpose, technical solution, and advantages of the
embodiments of
the present disclosure clearer, a clear and complete description of technical
solutions in
embodiments of the present disclosure is given below with reference to the
drawings of the
embodiments of the present disclosure. Apparently, the described embodiments
are only a part,
but not all of the embodiments of the present disclosure. All of the other
embodiments that may
be obtained by those skilled in the art based on the embodiments in the
present disclosure
without any inventive effort fall into the protection scope of the present
disclosure.
[044] Unless otherwise defined, technical or scientific terms used in the
present disclosure
shall have the usual meaning understood by those skilled in the art which the
present disclosure
belongs. The terms "first", "second", and similar terms used in the present
disclosure do not
indicate any order, quantity, or importance, but are only used to distinguish
different components.
Similarly, similar terms such as "a", "one", or "the" do not indicate a
quantity limit, but rather
indicate the existence of at least one. The terms such as "include" or
"contain" indicate that the
components or objects appeared before includes the components, objects or
their equivalents
listed after, and without excluding other components or objects. The terms
such as "connection"
or "coupling" are not limited to physical or mechanical connections, but can
include electrical
connections, whether direct or indirect. The terms "up", "down", "left",
"right" and so on are only
used to represent relative positional relationships. When the absolute
position of the described
object changes, the relative positional relationship may also change
accordingly.
[045] Generally, modeling methods used for the device management network are
often limited
to the devices themselves in the network, and the construction of network
models is limited to
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the devices that directly constitute the network. The related factors that
have a significant impact
on the network are not considered as a component of the network. In addition,
a network model
composed of a limited variety of devices is only a representative of the
physical network
composition in the information world in current life, and the network in the
physical world
cannot be improved by analyzing the model. FIG. 1 is a schematic diagram of
system simulation.
It can be found that: first, the one-way mapping from the physical world to
the information world
causes the model itself being only a reflection of the existing device types,
which brings a great
limitation to analyze the model; and second, it is impossible to analyze and
improve the real
network in the physical world by changing the simulation model in the
information world, the
virtual information model is just a one-way mapping of the physical world, and
the real network
in the physical world cannot be improved by changing the virtual model, so
that the interaction
between the two is quite difficult.
[046] At least one embodiment of the present disclosure provides a modeling
analysis method
for a device management network, applying to a user terminal, and the method
includes:
collecting position information, type information, and status information of a
physical node,
where the collecting is achieved by one of user inputting, a positioning
function of the user
terminal, and acquiring the position information, the type information, and
the status information
of the physical node through photographing and automatic recognition functions
of the user
terminal; automatically constructing, according to a first predetermined rule,
a physical layer
model based on position information and type information of a plurality of the
physical node to
automatically connect the plurality of the physical node into a line, and
automatically displaying
the plurality of the physical node and the line between the plurality of the
physical node at a
corresponding position on an electronic map as background; and automatically
constructing,
according to a second predetermined rule, a logical layer model based on the
type information
and the status information of the plurality of the physical node to construct
a network model.
And at least one embodiment of the present disclosure further provides an
analysis method for
operating range based on the modeling analysis method above, an update method
for a network
model, a user terminal, and a network server.
[047] At least one embodiment of the present disclosure provides a modeling
analysis method
for a device management network, and the method may automatically construct,
according to
predetermined connection rules, the network model for rapid analysis based on
device
information acquired by the user terminal, so that users can view network
diagrams and results
of the network analysis in real-time, quickly, and automatically, to improve
the real network in
the physical world through rapid analysis based on the network model.
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[048] The following is a non-limiting explanation of the modeling analysis
method provided
according to at least one embodiment of the present disclosure through several
examples or
embodiments. As described below, different features in these specific examples
or embodiments
can be combined with each other without conflicting to obtain new examples or
embodiments,
which also fall into the protection scope of the present disclosure.
[049] FIG. 2 is an architecture diagram of a device management system provided
by at least
one embodiment of the present disclosure. Referring to FIG. 2, a user terminal
201 is signal
connected to a simulation analysis server 202, and the simulation analysis
server 202 is signal
connected to a management terminal 203. The user terminal 201 is associated
and communicated
with the management terminal 203 through the simulation analysis server 202.
According to at
least one embodiment of the present disclosure, there may be multiple
management terminals
203 and user terminals 201, which are respectively signal connected to the
simulation analysis
server 202 to form the device management system.
[050] For example, the user terminal 201, the simulation analysis server 202,
and the
management terminal 203 can communicate with each other through a wired or
wireless network.
The wired network is, for example, a wired local area network, a wide area
network, or a wired
telephone communication network. The wireless network is, for example, a
wireless local area
network, mobile internet (for example, 2G/3G/4G/5G), WiFi and so on. It should
be noted that
the specific communication methods between them are not limited to the
embodiments of the
present disclosure.
[051] For example, the user terminal 201 may be a mobile device with a
wireless positioning
function, such as a mobile phone terminal and a tablet computer. For example,
the user terminal
201 may use positioning methods, such as mobile base station positioning, WiFi
positioning,
GPS positioning, to acquire position information, which is not limited to the
embodiments of the
present disclosure. For example, in an embodiment of the present disclosure,
the management
terminal 203 may be a computer, an all-in-one machine and so on, which is not
limited to the
embodiments of the present disclosure. For example, the simulation analysis
server 202 may be a
certain device management network. For example, it may be deployed on some
computers,
all-in-one machines, or user terminals. Of course, the simulation analysis
server 202 may be a
cloud server or a local server, which is not limited to the embodiments of the
present disclosure.
The simulation analysis server 202 may be connected with one or more user
terminals 201, and
the data acquired by the user terminal 201 may be sent to the simulation
analysis server 202 for
storage or processing.
[052] It should be noted that in an embodiment of the present disclosure, the
device
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management network may include, for example, public facility management
systems such as a
power grid management system, a water pipeline network management system, or a
gas pipeline
network system, of course, it may also include other similar device management
networks such
as a cable television network and a communication network, which is not
limited to the
embodiments of the present disclosure. For example, in an embodiment of the
present disclosure,
the device network in the physical world corresponds to the simulation network
in the
information world, that is the network model, and the various devices in the
device management
network correspond to various nodes in the network model. In an example,
taking the power grid
management network for example, the nodes in the power grid model may
represent switches,
transformers, poles, telecommunication base station devices and the like in
the power grid. In
another example, taking the water pipeline network management system for
example, the nodes
in the water pipeline network model may represent valves, water pumping
stations, and water
treatment plants in the water pipeline network. In still another example,
taking the gas pipeline
network management system for example, the nodes in the gas pipeline network
model may
represent gate stations, gas valves, compensators, gas storage devices and the
like, which are not
specifically limited to the embodiments of the present disclosure, and can be
set based on actual
needs.
[053] The following is a detailed description of the modeling analysis method
for the device
management network provided by at least one embodiment of the present
disclosure with
reference to the drawings.
[054] FIG. 3 is a flowchart of a modeling analysis method for a device
management network
according to at least one embodiment of the present disclosure. For example,
at least one
embodiment of the present disclosure provides a modeling analysis method 10
for a device
management network, applying to a user terminal, and as shown FIG. 3, the
method includes the
following steps S101-S 103.
[055] It should be noted that, in the embodiments of the present disclosure,
steps S101-S103
may be executed sequentially, or executed in other adjusted orders, and some
or all of the steps
may be executed in parallel, for example, step S102 and step S103 may be
executed
simultaneously. The embodiments of the present disclosure do not limit the
execution order of
each step and the order can be adjusted based on actual situations. For
example, in the
embodiments of the present disclosure, steps S101-S103 can be executed in a
separate user
terminal, for example, the user terminal can automatically connect to the
intemet through mobile
internet, and the above steps S101- S103 can be executed online in real-time
by the user terminal.
For example, a part of operation can also be implemented on simulation
analysis servers (such as
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cloud server), which is not limited to the embodiments of the present
disclosure. For example, in
some examples, the modeling analysis method 10 provided by at least one
embodiment of the
present disclosure may selectively perform some steps in steps S101-S103, or
may perform some
additional steps in addition to steps S101-S103, which is not limited to the
embodiments of the
present disclosure.
[056] Step S101: Collecting, through the user terminal, position information,
type information,
and status information of a physical node, where the collecting is achieved by
one of user
inputting, a positioning function of the user terminal, and acquiring the
position information, the
type information, and the status information of the physical node through
photographing and
automatic recognition functions of the user terminal.
[057] For example, to facilitate the display of network diagrams (such as
power grid diagrams,
water pipeline diagrams, gas pipeline diagrams, and so on), each type of
device in real life is
treated as a physical node. As basic units of the network physical system, the
physical nodes are
the reflection of various physical devices in real life in the simulation
network model, and they
participate in the display of network diagrams through the basic physical
connection rules. For
example, in an example, the operator carries a mobile device with wireless
positioning function
(such as a mobile phone) and collects information of physical nodes along a
scheduled route
(such as a street in a certain area). For example, in an example, the
information of a physical
node includes position information, type information, state information, image
information, and
so on, which is not limited to the embodiments of the present disclosure.
[058] For example, in at least one embodiment of the present disclosure,
taking the power grid
modeling for example, it may include various types of physical nodes such as
substations, ring
main units, public transformers, switches, poles, and so on. For example, the
operator collects,
through locating the user terminal (such as a mobile phone), the position
information at a certain
device (such as a ring network cabinet) on the street as the position
information of the physical
node. For example, the operator (or user) may select or input the position and
type of the device on
the user terminal. For example, the operator (or user) may select the device
type, such as
"transformer", on the user terminal. For example, the operator (or user) may
input the position
information, such as the longitude and latitude, of the device on the user
terminal. For example,
the operator may also select or input the status, such as "connected" or
"disconnected", of the
device on the user terminal. For example, the operator may select or input the
number and name,
such as "switch 1", of the device on the user terminal. For example, the
operator may take photos
of the device and its surrounding environment by the user terminal, so that
the device type and the
position of the device may be automatically recognized based on the captured
device image. In this
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way, the user terminal can collect the position information, the status
information, the type
information, the image information, and so on, of the physical node, which is
not specifically
limited to the embodiments of the present disclosure.
[059] Step S102: Automatically constructing, according to a first
predetermined rule, a physical
layer model based on the position information and the type information of a
plurality the physical
node to automatically connect the plurality of the physical node into a line,
and automatically
displaying the plurality of the physical node and the line between the
plurality of the physical
node at a corresponding position on an electronic map as background.
[060] In an example, for the device management network to be modeled, first,
the device types
involved in the network are listed, the devices are defined as physical nodes,
and connection rules
between various types of physical nodes are defined, that is, the first
predetermined rule. Taking
the power grid model for example, the first predetermined rule may include a
rule that a pole
node is automatically connected to another pole node closest to it; or the
first predetermined rule
may include a rule that a switch node is automatically connected to the
closest transformer node.
It should be noted that, in the embodiments of the present disclosure, the
first predetermined rule
may be set based on experience, actual needs, and so on, which is not
specifically limited to the
embodiments of the present disclosure.
[061] In an example, for a physical layer model, after defining the types and
connection rules
of physical devices, a diagram with an electronic map as background can be
formed, based on
the obtained device information, to visually display the types and
distribution of various physical
devices, which is the foundation for fast network diagram display. In an
example, when
constructing a physical layer model, the received device points can be
automatically connected
into a line according to the first predetermined rule. In an example, when
constructing a network,
based on the principle that two points determine a straight line, only the
nodes at both ends are
collected and then the connection line between the two points is automatically
drawn according
to the predetermined connection rules. In this case, the first point is the
determined node, and
when the second node is collected, a predetermined connection rule (such as
the first
predetermined rule) is used to determine which node it should be connected to,
and this is the
foundation for quickly constructing a network model and displaying the network
diagram.
[062] In an example, automatically display the physical nodes and the line
between the
physical nodes at a corresponding position on an electronic map as background.
For example, the
electronic map can be stored locally or downloaded from the network, which is
not limited to the
embodiments of the present disclosure.
[063] FIG. 4 is a schematic diagram of a physical layer model of a power grid
provided by at
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least one embodiment of the present disclosure.
[064] For example, in at least one embodiment of the present disclosure,
taking power grid
modeling for example, to facilitate rapid display of the power grid, each type
of power grid
device in real life is treated as a corresponding physical node. In an
example, as shown in FIG. 4,
the physical layer model includes four types of device: poles, substations,
switches, and
transformers. It should be noted that the type of power grid devices is not
limited to the
embodiments of the present disclosure. For example, in an example, the
substations are used as
power supplies to supply power to the power grid; the poles play a role of
supporting; the wires
between the poles constitute the physical lines of the power grid; the
switches play a segmented
control role in the lines; the transformers are the final power consuming
devices; and the
switches and the transformers are mounted on the poles.
[065] In an example, to facilitate the rapid construction of the power grid
diagram, the first
predetermined rule may be defined as follows: the line starts from the power
supplies
(substations), and the number of the second device is the number of the first
device plus 1. For
example, starting from pole 1, if next devices to be added are poles, these
nodes will
automatically be named as pole 2, pole 3, and so on; if the next device to be
added after the pole
1 is a switch, this switch will be manually named (for example, by selecting
or inputting) as
switch 1; if the next device to be added is still a switch, this switch will
be automatically named
as switch 2, and so on. In this way, with the continuous increase of poles,
the pole as basic
physical unit is automatically connected to the pole with previous number. For
example,
correspondingly, the serial numbers of the switches mounted on the poles are
automatically
increased. In this way, the displaying of the power grid diagram may be
quickly completed with
the electronic map as the background, as shown in FIG. 4.
[066] In an example, the increasing direction of the number of each type of
physical node may
indicate the direction of the signal or fluid in the device management
network. For example, the
device management network is a power grid management network, and the
direction of the
signal or fluid in the device management network may be the power supply
direction of the
power grid management network. For another example, the device management
network is a
water pipeline management network, and the direction of the signal or fluid in
the device
management network may be the direction of water supply. For still another
example, the device
management network is a gas pipeline management network, and the direction of
the signal or
fluid in the device management network may be the direction of gas supply. It
should be noted
that this is not specifically limited to the embodiments of the present
disclosure.
[067] For example, in the physical layer model of the power grid shown in FIG.
4, taking the
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poles for example, the increasing direction of the number of the poles may
indicate the power
supply direction of the power grid. In an example, the power supply direction
may be defined as
the direction from a pole with a small number to a pole with a large number.
In this way, the
current flow direction, that is the power supply direction, may be displayed
by identifying the
number of poles. For example, the power supply direction may be from pole 1 to
pole 2, then to
pole 3, and so on. For example, the power supply direction may be from switch
1 to switch 2,
then to switch 3, and so on. Of course, in case of adjusting operation mode of
the power grid, the
power supply direction may be from pole 6 to pole 5, then to the pole 4, and
so on. The power
supply direction is not limited to the examples of the present disclosure, and
may be set
according to actual needs.
[068] For example, in at least one embodiment of the present disclosure, for
the physical layer
model, based on information of the device nodes (that are, physical nodes)
collected by the user
terminal (such as a mobile phone), the collected physical nodes are
automatically connected,
according to a predetermined connection rule (for example, the first
predetermined rule), to form
a line, so that a network diagram can be quickly constructed without manual
drawing.
[069] Step S103: Automatically constructing, according to a second
predetermined rule, a
logical layer model based on the type information and the status information
of the plurality of
the physical node to construct a network model.
[070] In an example, to the logical layer model, based on different types and
operating status
(such as connected or disconnected) of the physical nodes, the received device
points may be
automatically connected, according to the second predetermined rule, to form a
logical network
to determine a topological relationship between adjacent nodes in the network,
that is, the
topological structure of the logical layer model, which is the foundation for
network diagram
analysis. In an example, taking power grid modeling for example, the second
predetermined rule
may include a rule that a substation node is automatically connected to the
closest switch node, a
switch node is automatically connected to the closest transformer node. It
should be noted that
the second predetermined rule may be set based on experience, actual needs,
and so on, which is
not specifically limited to the embodiments of the present disclosure.
[071] In an example, the logical layer and the physical layer can be the same
layer. In this case,
all physical nodes are logical nodes, but the search workload during network
search analysis is
too large.
[072] FIG. 5 is a flowchart corresponding to step S103 in a modeling analysis
method
provided by at least one embodiment of the present disclosure. In an example,
as shown in FIG.
5, to improve the efficiency of network search analysis, step S103 may include
the following
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steps:
[073] Step S131: Determining, based on the type information and the status
information of the
plurality of the physical node, a physical node meeting the first
predetermined condition among
the plurality of the physical node as a logical node.
[074] Step S132: Automatically constructing, according to the second
predetermined rule, a
logical layer model based on the type information and the status information
of the logical node.
[075] In an example, the first predetermined condition may be participating in
logical
judgment of the network model, that is, participating in the status analysis
of the network model.
In this way, the number of physical devices involved in the network model may
be greatly
reduced, and search efficiency can be improved. The logical layer mainly
mentioned below
refers to a logical layer composed of these simplified logical nodes. It
should be noted that the
specific content of the first predetermined condition is not limited to the
embodiments of the
present disclosure, and may be set according to actual needs.
[076] For example, in at least one embodiment of the present disclosure,
taking power grid
modeling for example, if the power grid devices in the physical layer are all
regarded as the
logical nodes, they will participate in the network analysis and the search
workload will be huge.
To improve the search efficiency of the network, devices participating in the
logical judgment
(status judgment) in the power grid system and electric equipments at line
terminals are regarded
as logical nodes.
[077] FIG. 6 is a schematic diagram of a logic layer model of a power grid
provided by at
least one embodiment of the present disclosure. For example, in at least one
embodiment of the
present disclosure, taking power grid modeling for example, the logical nodes
include three types
of devices: substations, switches, and transformers. As shown in FIG. 6, the
substations supply
power to the switches, and the switches supply power to the transformers. The
poles, which play
the only role of supporting, do not participate in the network analysis of the
system, so they are
not devices corresponding to the logical nodes.
[078] In an example, the second predetermined rule may be defined as follows:
taking the
substations as the original power supply points, the power of a switch coming
from the
substations or the upper-level switches, and the power to the transformers
coming from the
switches. According to such a second predetermined rule, first, the position
of the substations is
defined as the power supply points on the electronic map of the physical
layer; with the
appearance of a switch, the closest substation or switch is automatically
searched and its
upper-level power supply is determined based on the number of the pole
corresponding to the
switch and establish a logical connection between them. For example, with the
appearance of a
CA 03207585 2023- 8- 4
transformer, the closest switch is automatically searched, and the appropriate
power supply point
is determined to establish a logical connection between them. In this way, the
logical layer of the
power grid may be quickly constructed, as shown in FIG. 6.
[079] For example, in at least one embodiment of the present disclosure, step
S102 and step
S103 may be executed synchronously, that is, the physical layer model and the
logical layer
model can be constructed at the same time, so as to quickly construct a
network model and
quickly display a network diagram with an analysis function.
[080] Therefore, in the modeling analysis method 10 for a device management
network
provided by at least one embodiment of the present disclosure, data may be
acquired by the user
terminal, the physical display of devices and the logical relationships of
devices may be
automatically processed at one time according to the predetermined connection
rules, and the
subsequent change in the rules will automatically change the connection of the
logical
relationships, so that users can check the network diagram and network
analysis results in real
time, quickly, and automatically, so as to improve the real network of the
physical world based
on the rapid analysis of the network model. In addition, by selecting logical
nodes from physical
nodes, the search workload is greatly reduced and the search efficiency of the
network is
improved.
[081] For example, in at least one embodiment of the present disclosure, the
automatically
constructing, according to a first predetermined rule, a physical layer model
based on position
information and type information of a plurality of the physical node includes:
when the position
information and/or the type information of the physical node is changed (or
updated) through the
user terminal, with the electronic map as background, automatically
disconnecting, a line among
original lines, failing to conform to the first predetermined rule based on
changed (or updated)
information and automatically connecting, according to the first predetermined
rule, a line
between a changed physical node and an adjacent physical node therefor.
[082] For example, in at least one embodiment of the present disclosure, it is
assumed that the
existing power grid model includes node 1, node 2, and node 3, node 1 is line
connected to node
2, and node 2 is line connected to node 3. In a case where nodes 1, 2 and 3
are all poles, when
the user moves pole node 2 by, for example, a mobile phone terminal, that is,
when the position
information of node 2 is changed, automatically disconnects the lines between
pole node 2 and
nodes 1 and 3 respectively before moving, and based on the changed node
information,
automatically forms, according to the first predetermined rule, a line between
the moved pole
node 2 and pole nodes 1 and 3 respectively. It should be noted that, based on
the changed node
information, if pole node 2 is still connected to pole nodes 1 and 3
respectively according to the
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first predetermined rule, the user may find on the mobile phone interface that
the line between
node 1 and node 2 and the line between node 2 and node 3 move along with the
movement of
node 2 due to the rapid update of the model.
[083] In an example, in a case where nodes 1, 2 and 3 are all poles, when the
user adds a new
pole node 4 between pole node 2 and pole node 3 through, for example, a mobile
phone terminal,
automatically disconnects the line between node 2 and node 3, and based on the
changed node
information, automatically forms, according to the first predetermined rule, a
line between pole
node 2, pole node 3 and pole node 4. If the original line between node 2 and
node 3 overlaps
with the updated lines between node 2, node 3 and node 4, due to the rapid
update of the model,
the user may find on the mobile phone interface that the node 4 is added to
the line between node
2 and node 3.
[084] In another example, in a case where nodes 1, 2 and 3 are all poles, when
the user deletes
pole node 2 through, for example, a mobile phone terminal, automatically
disconnects the lines
between pole node 2 and pole nodes 1 and 3 respectively. And based on the
changed node
information, if pole node 1 is automatically connected, according to the first
predetermined rule,
with pole node 3, the user may find on the mobile phone interface that a line
between node 1 and
node 3 is automatically formed while node 2 disappears from the electronic map
due to the rapid
update of the model.
[085] In still another example, in a case where node 1 is a substation, node 2
is a switch, and
node 3 is a transformer, when the user deletes node 2 through a mobile phone
terminal, if node 1
cannot be directly connected to node 3 according to the first predetermined
rule, the user may
find on the mobile phone interface that the lines between node 2 and the nodes
1 and 3
respectively are automatically disconnected while node 2 disappears from the
electronic map.
[086] Therefore, according to the modeling analysis method 10 provided by the
embodiments
of the present disclosure, when the physical node information changes, for
example, a certain
physical node being moved, deleted, or added, the physical layer model will
automatically
change, that is, a line will be automatically formed based on the changed
physical node
information. This could avoid the waste of huge human resources to manually
modify the lines
and also avoid the situations where it cannot be connected.
[087] For example, in at least one embodiment of the present disclosure, for
step S102, the
automatically constructing, according to a first predetermined rule, a
physical layer model based
on position information and type information of a plurality of the physical
node includes: while
the user terminal remains mobile, in response to collecting position
information and the type
information of a physical node, real-time displaying the physical node and a
line ,automatically
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generated, between the physical node and an adjacent physical node of the
physical node.
[088] For example, in at least one embodiment of the present disclosure, when
the user
acquires information about the surrounding nodes along a route by walking with
a user terminal
(such as a mobile phone), in response to the acquired information of the
nodes, the user terminal
will automatically display the acquired physical node and a line between this
physical node and
an adjacent physical node on the electronic map in real time. In this way, the
user can check the
network diagram on the user terminal in real time, quickly and automatically.
[089] To extend the existing network model without destroying the original
physical layer
model and logical layer model, at least one embodiment of the present
disclosure further
provides a modeling analysis method 20 for a device management network. The
modeling
analysis method 20 further includes the following steps in addition to steps
S101-S103.
[090] Step S201: Collecting position information of an additional node, and
acquiring type
information and status information of the additional node.
[091] Step S202 Constructing an additional layer model based on the position
information, the
type information, and the state information of the additional node for
expanding the network
model.
[092] Step S203: With the electronic map as background, automatically
displaying the type
information and the state information of the additional node at a
corresponding position.
[093] For example, in at least one embodiment of the present disclosure, the
additional node
corresponds to an additional device that appears with the extension of system
functions and has a
significant impact on system analysis. For example, the additional device may
be a basic
constituent part for a certain auxiliary status. With the increase of system
functions, there may be
many kinds of such auxiliary statuses, and each status may have many
constituent units. The
additional device is added after the network model is constructed, and may be
displayed as new
physical units, without affecting the original physical connection of the
network, or may be
regarded as new logical units to participate in the analysis, without
affecting the original logical
connection of the network. Additional nodes exist as additional statuses of
physical or logical
networks, which have more effects on the analysis of the network. Additional
nodes in the
additional layer model include a physical status of the additional device, or
a logical connection
status of the additional device, or both. The additional device may be a
device with a physical
status, which is directly added to the device type for the physical layer
model, for the purpose of
diagram displaying. Since they are added to the diagram later, they will not
destroy the
connection of the original devices and will not affect the displaying of the
original physical
network. The additional device may be a device with a logical connection
status. The connection
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CA 03207585 2023- 8- 4
between the devices may be based on a certain rule, or may be formed without
any rule. They
can participate in network analysis to enrich the content of system analysis.
The additional layer
model is the basis for the continuous extension of the network model and also
the foundation of
advanced network analysis.
[094] FIG. 7 is a schematic diagram of an additional layer model of a power
grid provided by
at least one embodiment of the present disclosure.
[095] For example, in at least one embodiment of the present disclosure,
taking power grid
modeling for example, as shown in FIG. 7, the additional device in the power
grid system may
be a power grid monitoring device attached to a pole or wire, or may be a
device that sends light
or images to a pole with a receiving function, for example, an image
monitoring device, a light
monitoring device, and so on, which is not limited in the embodiments of the
present disclosure.
For example, the additional device may not be a basic constitute unit of the
physical layer in the
power grid model, and the power grid may not rely on the additional device.
The additional
device may not be a basic constitute part of the logical layer in the power
grid model, and the
basic analysis of the network may not rely on the additional device. Depending
upon different
functions of the additional devices, a additional device may monitor the
magnitudethe of current
according to the device directly mounted on the wire or pole, may make a
determination on
power outage indirectly by the surrounding light sources, and may provide an
early warning of
power outage by analyzing the images of the surrounding fires. With the
extension of system
functions in the future, more sources of additional information may be
extended, which is not
limited to the embodiments of the present disclosure. For example, the
additional device may be
a physical device, for example, a power grid monitoring device, which may be
displayed in the
constitution of the physical network and may participate in network analysis
at the logical layer.
For another example, the additional device may be non-physical device
information such as light
and images, and may participate in network analysis only at the logical layer.
Since the
additional device is added after the construction of the basic physical layer
model and logical
layer model, it does not affect the original connections of the physical layer
and the logical layer,
but it plays a dramatic role in the advanced analysis of the power grid.
[096] For example, in the device type of the additional layer, the grid
monitoring device is
mounted on a pole or a line. It monitors whether the power grid has
electricity in real time by
providing information, and participates in the analysis of the power supply
status of the power
grid. Therefore, it has a physical status and a logical connection status. Its
mounting position
may be displayed in the power grid diagram, and may be used as part of the
line or device
attributes, so that the line or device participates in the logical analysis,
as shown in FIG. 7.
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[097] FIG. 8A is a hierarchical schematic diagram of a system structure
provided by at least
one embodiment of the present disclosure. FIG. 8B is a schematic diagram of a
simulation
system model provided by at least one embodiment of the present disclosure.
And FIG. 8C is a
diagram of a power grid system provided by at least one embodiment of the
present disclosure.
[098] As shown in FIGS. 8A and 8B, in at least one embodiment of the present
disclosure, the
superposition of the physical layer model, the logical layer model, and the
additional layer model
above can form a complete structure of the network model. For example, based
on the acquired
position information, type information, and status information of various
physical devices,
different types of devices are processed differently to quickly complete the
construction of a
simulation network model, for example, the simulation network model shown in
FIG. 8B.
[099] For example, in an example, taking power grid modeling for example, as
shown in FIG.
8C, when the network model is constructed, the construction of the physical
layer and logical
layer model of the power grid may be automatically and synchronously completed
according to
the predetermined physical and logical connection rules, and the additional
layer is added
according to various monitoring devices which are added subsequently. For
example, the
physical layer model enables the power grid diagram to be displayed normally,
the logical layer
model enables the power grid diagram to have an analysis function, and the
additional layer
model enables the power grid diagram to perform analysis and judgment
automatically and
quickly. The three layers together form a network model that can display the
status of the power
grid in real time and can quickly and automatically provide fault analysis
results, for example,
power outage analysis results.
[0100] In an example, in at least one embodiment of the present disclosure,
taking power grid
modeling for example, as shown in FIG. 8C, with collecting poles and devices
in numbered
order starting from power supply as a substation, and the construction of the
physical layer
model and the logical layer model is executed synchronously based on the
different types of
devices. Then, according to the position of the monitoring devices on the
poles and wires, the
devices are displayed on the power grid diagram at the physical layer.
Meanwhile, the
monitoring devices are added to the additional layer as the attributes of the
wires and poles on
which they are mounted. By displaying the power grid status information (power
available or
power outage), the wires and poles that do not have logical analysis function
participate in the
logical analysis, as part of the advanced analysis of the power grid, to
establish a network model
that can display the status of the power grid in real time.
[0101] For example, in at least one embodiment of the present disclosure, the
above modeling
analysis methods may also include: automatically displaying a direction of a
signal or a fluid in
CA 03207585 2023- 8- 4
the device management network on the electronic map based on the topological
relationship
between logical nodes in the logical layer model.
[0102] In an example, the automatically displaying a direction of signal or
fluid in the device
management network on the electronic map includes: on the electronic map,
displaying the
direction of signal or fluid in the device management network through an
arrow. Of course, other
methods (such as simulation analysis results and so on) may also be used to
display the direction
of signal or fluid, which is not limited to the embodiments of the present
disclosure.
[0103] For example, in at least one embodiment of the present disclosure, the
device
management network may be a power grid management network, and the direction
of the signal
or fluid in the device management network is the power supply direction in the
power grid
management network. Of course, it is not limited to the embodiments of the
present disclosure.
[0104] For example, in at least one embodiment of the present disclosure, the
modeling
analysis method may further include: displaying a simulation analysis result
in response to an
analysis function in a scene interface being triggered.
[0105] For example, in at least one embodiment of the present disclosure, the
network model
constructed based on step S102 and step S103 has a network analysis function.
For example, in
an example, there are analysis function buttons in the scene interface
displayed by the user
terminal. When the user triggers a certain analysis function button, in
response to the analysis
function button in the scene interface being triggered, the user terminal will
display a
corresponding simulation analysis result. For example, taking power grid
modeling as an
example, when the user triggers a power outage analysis button on the user
terminal, the user
terminal will automatically display a corresponding power outage analysis
result.
[0106] For example, in at least one embodiment of the present disclosure, in
response to the
analysis function in the scene interface being triggered, the simulation
analysis result is
displayed by controlling the change in color of the line. For example, in an
example, if a switch
in a certain power grid line is turned off to cause a power outage situation,
then, in response to
the power outage analysis function in the scene interface being triggered, the
user is notified of
the power outage situation of the line by changing the color of the line
controlled by the switch.
Of course, the user can be notified of the power outage situation of the line
in other ways, for
example, sending a message to the user in a specific region, which is not
specifically limited to
the embodiments of the present disclosure.
[0107] For example, in at least one embodiment of the present disclosure, the
displaying a
simulation analysis result in response to an analysis function in a scene
interface being triggered
is automatically executed online in real-time through the user terminal, such
as through the
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CA 03207585 2023- 8- 4
mobile internet, which is not specifically limited to the embodiments of the
present disclosure.
[0108] For example, in at least one embodiment of the present disclosure, the
collecting,
through the user terminal, position information, type information, and status
information of a
physical node is executed online in real-time through mobile internet. And the
user terminal may
also automatically connect to the network through other means, which is not
specifically limited
to the embodiments of the present disclosure.
[0109] For example, in at least one embodiment of the present disclosure,
after performing the
data acquisition operation (for example, step S101 or step S201), the user
terminal may send,
through the mobile internet (for example, 5G, 4G, and so on), the acquired
node information (for
example, the position information, type information, and status information of
the physical node
and/or additional node) to a simulation analysis server to construct a network
model on the
simulation analysis server side, and then, receive a simulation analysis
result from the simulation
analysis server via the mobile internet, for the purpose of displaying. Of
course, the specific
communication method between the user terminal and the simulation analysis
server is not
limited in the embodiments of the present disclosure. The specific operations
on the simulation
analysis server side will be described in detail below.
[0110] For example, in at least one embodiment of the present disclosure, the
user terminal (for
example, a mobile phone) may be automatically connected to the internet via
the mobile interne,
and the above modeling analysis methods 10 and 20 may be automatically
executed by the user
terminal online in real time, which is not limited to the embodiments of the
present disclosure.
[0111] By the modeling analysis method according to at least one embodiment of
the present
disclosure, a network model is constructed quickly in a classification and
hierarchical manner,
according to predetermined rules (for example, the first predetermined rule,
the second
predetermined rule, and so on). Through the superposition of the additional
layer, a space is
reserved for unlimited network extension, without affecting the original
network structure. The
above modeling analysis methods 10 and 20 according to at least one embodiment
of the present
disclosure has, but is not limited to, the following advantages.
[0112] First, the construction of the existing network model requires a lot of
manual
participation. It is often necessary to manually establish a logical
connection after acquiring the
position and attribute information of the devices. As the logical relationship
changes (for
example, the relationship between the power grid devices changes from a parent-
child
relationship to a connected relationship), the logical connection between the
devices needs to be
manually processed.
[0113] FIG. 9A is a schematic diagram of dual power supply according to at
least one
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CA 03207585 2023- 8- 4
embodiment of the present disclosure, and FIG. 9B is a schematic diagram of
dual power supply
conversion according to at least one embodiment of the present disclosure. As
shown in FIG. 9A,
in the case of dual power supply, normally, the substation on the right is in
the off-state indicated
by a dotted line, and the power comes from the substation on the left. Then,
the substation on the
left supplies power to the transformer by switches stepwise. The power supply
direction between
the devices may be expressed in a logical relationship from parent to child.
As shown in FIG. 9B,
when the substation on the left is in the off-state indicated by the dotted
line, the power comes
from the substation on the right. As shown, the power supply direction of the
switches changes.
In this case, the original parent-child relationship is wrong, and the parent-
child relationship
between the devices in the model must be changed to a connected relationship.
In this case, by
the modeling analysis method 10 and 20 according to at least one embodiment of
the present
disclosure, it is just needed to change the settings of the connection rule of
the model to
automatically complete the rapid adjustment of the logical relationship,
without needing major
adjustments.
[0114] Second, the extension of the existing network model is limited. With
the addition of new
types of devices, the original model structure must be modified. By the
modeling analysis
method 20 according to at least one embodiment of the present disclosure, the
establishment of
the third additional layer provides an opportunity for the unlimited extension
of the network
model; and, the addition of new devices does not destroy the display of the
existing physical
layer and the structure of the logical layer connection, without great impact
on the existing
model, just an additional effect.
[0115] Third, the number of logical devices is simplified, and the efficiency
of search and
analysis is greatly improved. By the definition of devices at the logical
layer and the additional
layer, the number of devices participating in network analysis may be
automatically adjusted at
any time. This greatly improves the efficiency of search and analysis, and
facilitates the change
of network analysis model.
[0116] The modeling analysis method performed by the user terminal according
to the
embodiments of the present disclosure has been described above, and the
modeling analysis
method performed by a management terminal according to the embodiments of the
present
disclosure will be further described below. This method corresponds to the
method in the above
embodiments. For brevity of the description, only a brief description is given
below. For details,
please refer to the modeling analysis method in the above embodiments.
[0117] For example, at least one embodiment of the present disclosure provides
a modeling
analysis method for a device management network, which applies to a management
terminal and
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CA 03207585 2023- 8- 4
includes the following steps.
[0118] Step S301: Acquiring position information, type information, and status
information of a
physical node.
[0119] For example, in at least one embodiment of the present disclosure, the
way for a
management terminal to acquire information about physical nodes may be:
manually entering
node information into the management terminal by an operator, reading the node
information
stored locally, downloading the node information from the internet, scanning
pictures for
automatic identification of node information, and so on. The way for the
management terminal to
acquire node information is not limited to the embodiments of the present
disclosure.
[0120] Step S302: Automatically constructing, according to a first
predetermined rule, a
physical layer model based on the position information and the type
information of a plurality of
the physical node to automatically connect the plurality of the physical node
into a line, where
the physical layer model is used for automatically displaying the plurality of
the physical nodes
and the line between the plurality of the physical node at a corresponding
position on an
electronic map as background.
[0121] Step S303: Automatically constructing, according to a second
predetermined rule, a
logical layer model based on the type information and the status information
of the plurality of
the physical node to construct a network model.
[0122] For example, in at least one embodiment of the present disclosure, the
operations of step
S302 and step S303 may be the same as or similar to the above step S102 and
step S103
respectively. For the description of these operations, please refer to the
relevant description of
step S102 and step S103, which will not be repeated here.
[0123] For example, in at least one embodiment of the present disclosure,
corresponding to the
above steps S201-S202 performed by the user terminal, the management terminal
may obtain
position information, type information, and status information of an
additional node; construct an
additional layer model based on the position information, the type
information, and the status
information of the additional node to extend the network model; and
automatically displaying the
additional node at the corresponding position on the electronic map as
background.
[0124] In an embodiment of the present disclosure, the management terminal may
have a
management function in addition to performing operations similar to the
modeling analysis
method performed by the user terminal. For example, when the user terminal
acquires node
information and generates a corresponding network diagram and a network
analysis result, the
operator may confirm the validity or invalidity of the information by the
management terminal
after conducting on-site verification. For example, in an example, the
operator may maintain
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system data by the management terminal, manage user accounts, grant user
permissions,
determine version updates, and so on. It is not specifically limited to the
embodiments of the
present disclosure.
[0125] For example, in at least one embodiment of the present disclosure,
similar to the user
terminal, after acquiring the node information, the management terminal may
send, through
mobile internet, the wireless local area network, and so on, the acquired node
information (for
example, the position information, type information and status information of
the physical node
and/or additional node) to a simulation analysis server to construct a network
model on the
simulation analysis server side, and then, receive a simulation analysis
result from the simulation
analysis server via the mobile internet, the wireless local area network, and
so on, for the purpose
of displaying. Of course, the specific communication method between the
management terminal
and the simulation analysis server is not limited to the embodiments of the
present disclosure.
[0126] For example, in at least one embodiment of the present disclosure,
similar to the user
terminal, the management terminal may be automatically connected to the
internet through
mobile internet, and the above modeling analysis method 10 and 20 may be
automatically
executed by the management terminal online in real time, which is not limited
to the
embodiments of the present disclosure.
[0127] The modeling analysis method performed by the management terminal
according to the
embodiments of the present disclosure has been described above, and the
modeling analysis
method performed by a simulation analysis server according to the embodiments
of the present
disclosure will be further described below. This method corresponds to the
method in the above
embodiments. For brevity of the description, only a brief description is given
below. For details,
please refer to the modeling analysis method in the above embodiments.
[0128] For example, at least one embodiment of the present disclosure provides
a modeling
analysis method for a device management network, applying to a simulation
analysis server, and
the method includes the following steps:
[0129] Step S401: Acquiring position information, type information, and status
information of a
physical node.
[0130] In an example, the simulation analysis server may receive position
information, type
information, and status information of a physical node from a user terminal
through mobile
internet, wireless local area network, and so on. It may also include other
information, such as
image information, and so on, which is not limited to the embodiments of the
present disclosure.
In an example, the simulation analysis server may receive the position
information, the type
information, and the status information of the physical node from a management
terminal
CA 03207585 2023- 8- 4
through mobile internet, wireless local area network, and so on.
[0131] Step S402: Automatically constructing, according to a first
predetermined rule, a
physical layer model based on position information and type information of a
plurality of the
physical node to automatically connect the plurality of the physical node into
a line, where the
physical layer model is used for automatically displaying the plurality of the
physical node and
the line between the plurality of the physical node at a corresponding
position on an electronic
map as background.
[0132] Step S403: Automatically constructing, according to a second
predetermined rule, a
logical layer model based on the type information and the status information
of the plurality of
the physical node to construct a network model.
[0133] Step S404: Generating a simulation analysis result in response to
receiving request data.
[0134] The operations of step S402 and step S403 may be respectively similar
to the step S102
and step S103 above. For the description of these operations, please refer to
the relevant
description of step S102 and step S103, which will not be repeated here.
[0135] For example, for step S404, in response to the simulation analysis
server receiving
request data from the user terminal or the management terminal (such as power
outage analysis,
power tracking, and so on), a simulation analysis result is generated and sent
to the user terminal
or management terminal for user viewing.
[0136] For example, in at least one embodiment of the present disclosure, the
simulation
analysis server may receive the position information, the type information,
and the status
information of the physical node from a user terminal for constructing the
network model on the
simulation analysis server side, and send the simulation analysis result
generated on the
simulation analysis server side to the user terminal.
[0137] For example, in at least one embodiment of the present disclosure, the
receiving the
position information, the type information, and the status information of the
physical node from
a user terminal includes: receiving the position information, the type
information, and the status
information of the physical node from the user terminal through mobile
internet. For example,
the sending the simulation analysis result to the user terminal includes:
sending the simulation
analysis result to the user terminal through mobile internet. It should be
noted that the
communication methods between the user terminal and the the simulation
analysis server are not
specifically limited to the embodiments of the present disclosure.
[0138] For example, in at least one embodiment of the present disclosure, the
modeling
analysis method applied to the simulation analysis server may further include:
in response to
receiving information from an additional node, an additional layer model is
constructed, based
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on the information from the additional node, for expanding the network model.
For descriptions
on the operation of constructing an additional layer model, please refer to
the relevant
description of step S202 above, which will not be repeated here.
[0139] For example, at least one embodiment of the present disclosure provides
a modeling
analysis method applied to a power grid management system, and the method
includes:
[0140] Step S601: Collecting, through the user terminal, position information,
type information,
and status information of a power grid device, where the collecting is
achieved by one of user
inputting, a positioning function of the user terminal, and acquiring the
position information, the
type information, and the status information of the power grid device through
photographing and
automatic recognition functions of the user terminal.
[0141] Step S602: Automatically constructing, according to the first
predetermined rule, the
physical layer model based on position information and type information of a
plurality of the
power grid device to automatically connect the plurality of the power grid
device into a line, and
automatically displaying the plurality of the power grid device and the line
between the plurality
of the power grid device at a corresponding position on the electronic map as
background.
[0142] Step S603: Automatically constructing, according to the second
predetermined rule, a
logical layer model based on type information and status information of the
plurality of the
power grid device to construct the network model.
[0143] Step S604: Displaying a power outage analysis result in response to a
power outage
analysis function in a scene interface being triggered.
[0144] For example, in at least one embodiment of the present disclosure, the
operations of step
S601 to step S603 may be respectively similar to the step S101 to step S103
above. For the
description of these operations, please refer to the relevant description of
step S101 to step S103,
which will not be repeated here.
[0145] In an example, the power grid diagram modeled according to the above
modeling
analysis method may also have functions such as fault location, power supply
range analysis, and
power outage information transmission.
[0146] For example, in at least one embodiment of the present disclosure, the
user terminal (for
example, a mobile phone) may be automatically connected to the internet
through the mobile
internet, and the modeling analysis method applied to the power grid
management system may
be automatically executed by the user terminal online in real time, which is
not limited to the
embodiments of the present disclosure.
[0147] FIG. 10 is a schematic diagram of power grid fault location according
to at least one
embodiment of the present disclosure. In an example, by the above modeling
analysis method,
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after a user acquires information about power grid devices along a route by a
mobile phone, a
power grid model is constructed based on the acquired information about the
power grid devices.
For example, by the power tracking function, the intersection of the faulty
points may be
analyzed, that is, the faulty power supply point. As shown in FIG. 10, after
receiving the power
outage information from a user 1 and a user 2, it is found that the
intersection of the upper-level
power supplies is at the switch 2, so the switch 2 is a faulty power supply
point. In this case, after
turning off the switch 2 by the power grid company, the line from the
substation to the switch 2
can resume normal power supply. In an example, it may be determined by
additional devices (for
example, power grid monitoring devices, image monitoring devices, and so on)
that the lines, on
which the user 1 and the user 2 are located, are out of power, thereby
confirming that the
intersection of the upper-level power supplies is at the switch 2, so the
switch 2 is a faulty power
supply point.
[0148] For example, at least one embodiment of the present disclosure provides
an operating
range analysis method according to the above modeling analysis method, and the
method
includes: analyzing an operating line corresponding to a physical node in a
network model based
on the network model composed of the physical node and a line; and
automatically connecting
each end node of the operating line, and forming, according to a third
predetermined rule, a
closed region corresponding to the physical node on an electronic map, where
the closed region
is the operating range corresponding to the physical node.
[0149] For example, taking the power grid management system for example, after
constructing
a power grid model (a network model composed of physical nodes and lines)
according to the
modeling analysis method, the operating range of a certain power grid device
(that is, the
physical node) in the power grid model may be analyzed, that is, the power
supply range
analysis.
[0150] FIG. 11 is an analysis diagram of power supply range provided by at
least one
embodiment of the present disclosure. For example, in an example, as shown in
FIG. 11, after
the power grid model is constructed, for the power supply range analysis
function, for example,
first, the line for power supply from the power supply point (for example, the
substation) is
analyzed, that is, the operating line. The nodes at the ends are connected to
form the power
supply range of this line. For example, the distance from the most distant
node is the power
supply distance of this line, and the system can automatically accumulate the
length of sections
of this line, that is, the total length of this line. In practice, the
connection between nodes at the
ends is usually carried out along the road on the electronic map. For example,
the region between
two lines may be divided according to a predetermined rule (for example, the
third
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predetermined rule). For example, the third predetermined rule may be defined
as: connecting
intermediate points between adjacent devices on different operating lines to
form a line as a
region boundary, thereby forming a complete power supply region for each line.
It should be
noted that the third predetermined rule may be set based on experience, actual
needs, and so on,
which is not specifically limited to the embodiments of the present
disclosure.
[0151] In the example shown in FIG. 11, the respective power supply regions
are formed by the
operating lines to which the two substations belong. For example, first, the
respective operating
lines of the two substations are analyzed; then, two closed regions with
independent operating
lines may be formed, by automatically connecting nodes at the ends of the
respective operating
lines, and according to the third predetermined rule, for example, by taking
the common center
line of the devices as the boundary in the middle part of the two lines. Two
closed regions are the
respective power supply ranges of the two substations.
[0152] In an example, in response to the analysis function in the user
interface being triggered,
the analysis result of the power supply range may be displayed on the client.
[0153] The operating range analysis method further includes: sending
information, at least
including an image and text, to a user within the operating range
corresponding to the physical
node. In an example, when the power supply bureau in a certain place plans to
repair a certain
power grid device next week, information including both pictures and texts may
be sent in
advance to users within the operating range corresponding to the power grid
device. For example,
the information includes, but is not limited to, name of the device to be
repaired, images of the
device, images of the affected region, estimated repair time, and so on.
[0154] In an example, at least one embodiment of the present disclosure, when
the fault of a
certain physical node (for example, a certain power grid device) is detected,
fault information
may be sent to users within the operating range corresponding to the physical
node. For example,
the fault information includes, but is not limited to, the cause of the fault,
the range of the fault
(for example, map images corresponding to the range of the fault), estimated
fault handling time,
and name of the faulty line, and so on.
[0155] In an example, for the power outage situation in FIG. 10, by the
electronic map within
the power supply range of the switch 2, power outage information including
both pictures and
texts may be sent to users in the region by means of WeChat or the like. For
example, the power
outage information may include the type of the fault (for example, substation
fault, switch fault,
and so on), power outage line, images of the power outage region, estimated
power outage time,
and so on, to alleviate the anxiety of users.
[0156] In an embodiment of the present disclosure, sending information to
users within the
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operating range corresponding to the physical node may include: sending
information to
individual users or enterprise users within the operating range. In an
example, information may
be sent to the user terminal, the management terminal, and so on, through the
mobile internet, the
wireless local area network, and so on. For example, the user terminal, the
management terminal,
and so on, can display the information on a display screen for the user to
quickly check the
information. The information includes at least pictures and texts. For
example, it may be sent to
the users in the form of multimedia message, WeChat, email, and so on, which
is not specifically
limited to the embodiments of the present disclosure.
[0157] It should be noted that the device operating range analysis method may
be applied to a
power grid management system, a water pipeline network management system, a
gas pipeline
network management system, and so on, which is not specifically limited to the
embodiments of
the present disclosure. In an example, when a water pipe fault (for example,
water pipe burst,
and so on) is detected, by the above device operating range analysis method,
water outage
information including both pictures and texts, for example, water outage time,
cause of water
outage, and range of water outage, and so on, may be sent to users within the
water supply range
of the faulty water pipe, that is, users who are out of water. In this way,
the current situation that
municipal companies such as the power grid company, the water supply company,
and the
natural gas company can release only text-based fault information can be
solved.
[0158] For example, in at least one embodiment of the present disclosure, the
user terminal (for
example, a mobile phone) may be automatically connected to the internet via
the mobile internet,
and the above device operating range analysis method may be automatically
executed by the user
terminal online in real time, which is not limited to the embodiments of the
present disclosure.
[0159] For example, at least one embodiment of the present disclosure further
provides an
update method for a network model. It should be noted that the update method
for a network
model can support distributed concurrent access and the merging of network
diagrams. It should
also be noted that the update method for a network model may be applied to
power grid
management models, water pipeline network management models, gas pipeline
network
management models, and so on, and may also be applied to other data management
models such
as road network models (for example, for Baidu Map, Google Map, and so on),
meteorological
data management models, and so on which is not limited to the embodiments of
the present
disclosure.
[0160] For example, in at least one embodiment of the present disclosure, the
update method
for a network model may include the following step S701 to step S704.
[0161] Step S701: Dividing an electronic map into a plurality of regions.
CA 03207585 2023- 8- 4
[0162] In an example, to facilitate rapid network modeling of a new region,
the electronic map
is divided into several regions according to grids or administrative
boundaries.
[0163] Step S702: During a network update process, generating a corresponding
network
model for each of a plurality of user terminals to form a plurality of network
models when
receiving node information for different content of the same region from the
plurality of user
terminals.
[0164] In an example, the plurality of registered users may acquire data of a
same region (for
example, a same line, a same cell, and so on) at the same time, and
simultaneous submission is
supported. For example, the data submitted by each registered user may form,
on the simulation
analysis server, an independent submitted layer named by an independent
version number.
[0165] In an example, a corresponding network model may be generated for each
user terminal,
based on the data submitted by each user terminal, by the modeling analysis
method according to
the embodiments of the present disclosure. It should be noted that a
corresponding network
model may be generated for each user terminal, based on the data submitted by
each user
terminal, by other conventional modeling methods. The modeling method is not
specifically
limited to the embodiments of the present disclosure.
[0166] Step S703: Selecting, according to a second predetermined condition, a
network model
from the plurality of network models and saving the network model as a layer,
and use the layer
as a submission layer corresponding to the current time.
[0167] In an example, the second predetermined condition may include at least
one of the
following: the number of the physical nodes included in the network model is
the largest (for
example, the number of devices included is the largest); the area of the map
region included in
the network model is the largest; the map line included in the network model
is the longest; the
types of the physical nodes included in the network model is the most. For
example, the second
predetermined condition may be that the area of the map region included in the
network model is
the largest and the number of the physical nodes included in the network model
is the largest. Of
course, the second predetermined condition may be set according to actual
needs, which is not
limited to the embodiments of the present disclosure.
[0168] Step S704: Selecting, according to a third predetermined condition, a
submission layer
from a plurality of submission layers as a time layer for updating the network
model when a
number of saved submission layers reaches a threshold or after a scheduled
time from the first
submission layer.
[0169] In an example, similar to the second predetermined condition, the third
predetermined
condition may include at least one of the following: the number of the
physical nodes included in
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CA 03207585 2023- 8- 4
the network model is the largest (for example, the number of devices included
is the largest); the
area of the map region included in the network model is the largest; the map
line included in the
network model is the longest; the types of the physical nodes included in the
network model is
the most. Of course, the third predetermined condition may be set according to
actual needs,
which is not limited to the embodiments of the present disclosure.
[0170] Taking power grid modeling for example, the time layer version may be
displayed on
the power grid diagram, and compared with the existing layer version by
displaying them in
different colors. For example, the determined time layer version is updated as
the official power
grid model version. In an example, any registered user can evaluate the
correctness of the
existing power grid data by marking on the power grid diagram or submitting a
layer version. It
is convenient for system maintenance personnel to perform on-site
verification. For the data
verified to be valid, the system administrator can update part of the devices
on the user terminal
or the management terminal.
[0171] It should be noted that the content of the submission layer is not
limited in size, and can
be a section of the line or some devices. Once confirmed to be valid, it can
be converted into a
time layer for formal submission.
[0172] For example, in at least one embodiment of the present disclosure, the
network model
above may include a road network model, which is not limited to the
embodiments of the present
disclosure.
[0173] For example, in at least one embodiment of the present disclosure, the
update method
for a network model may be executed on the server side. For example, in at
least one
embodiment of the present disclosure, the user terminal (for example, a mobile
phone) may be
automatically connected to the internet through mobile internet, and the above
network model
update method may be automatically executed by the user terminal online in
real time, which is
not limited to the embodiments of the present disclosure.
[0174] Therefore, by the network model update method based on the modeling
analysis method
according to at least one embodiment of the present disclosure, the concurrent
data acquisition
by multiple persons can be effectively handled and a update method for a
network model is
provided.
[0175] For example, at least one embodiment of the present disclosure further
provides a user
terminal, which includes: a memory and a processor. The memory stores
instructions, and when
the processor executes the instructions, the user terminal executes any of the
modeling analysis
methods according to the embodiments of the present disclosure.
[0176] For example, at least one embodiment of the present disclosure further
provides a
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CA 03207585 2023- 8- 4
network server, which includes: a memory and a processor. The memory stores
instructions, and
when the processor executes the instructions, the network server executes any
of the modeling
analysis method, the analysis method for operating range, and the update
method for a network
model according to the embodiments of the present disclosure.
[0177] It should be noted that:
[0178] (1) The drawings of the embodiments of the present disclosure involve
only the
structures involved in the embodiments of the present disclosure, and other
structures may refer
to common designs.
[0179] (2) The embodiments of the present disclosure and features in the
embodiments may be
combined to obtain new embodiments, if not conflict.
[0180] The above is only a specific implementation of the present disclosure,
and is not
configured to limit the protection scope of the present disclosure. The
protection scope of the
present disclosure should be based on the protection scope of the claims.
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