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Patent 2730522 Summary

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(12) Patent Application: (11) CA 2730522
(54) English Title: METHOD AND SYSTEM FOR ENHANCING THE SAFETY OF A REGION
(54) French Title: PROCEDE ET SYSTEME POUR AMELIORER LA SECURITE D'UNE REGION
Status: Deemed Abandoned and Beyond the Period of Reinstatement - Pending Response to Notice of Disregarded Communication
Bibliographic Data
(51) International Patent Classification (IPC):
  • G08B 23/00 (2006.01)
  • E21F 11/00 (2006.01)
  • G08B 25/10 (2006.01)
  • H04W 40/02 (2009.01)
  • H04W 84/18 (2009.01)
(72) Inventors :
  • NEBOT, EDUARDO (Australia)
(73) Owners :
  • ACUMINE PTY LTD
(71) Applicants :
  • ACUMINE PTY LTD (Australia)
(74) Agent: BORDEN LADNER GERVAIS LLP
(74) Associate agent:
(45) Issued:
(86) PCT Filing Date: 2008-07-11
(87) Open to Public Inspection: 2009-01-22
Examination requested: 2013-06-18
Availability of licence: N/A
Dedicated to the Public: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): Yes
(86) PCT Filing Number: PCT/AU2008/001021
(87) International Publication Number: AU2008001021
(85) National Entry: 2011-01-11

(30) Application Priority Data: None

Abstracts

English Abstract


A method of enhancing the safety of a region includes defining a set of rules
for the region. Collecting field data from
a plurality of mobile stations movable throughout the region. The field data
includes information relating to the relative movement
of the mobile stations. Comparing the collected field data to the set of rules
to identify one or more areas of potential risk within the
region.


Claims

Note: Claims are shown in the official language in which they were submitted.


-13-
CLAIMS:
1. A method of enhancing the safety of a region, the method including:
defining a set of modifiable rules for the region;
collecting field data from a plurality of mobile stations movable throughout
the
region, the field data including information relating to the relative movement
of the
mobile stations; and
comparing the collected field data to the set of modifiable rules to identify
one or
more areas of potential risk within the region.
2. A method according to claim 1 including:
modifying at least one rule of the set of rules to account for at least one
identified
area of potential risk.
3. A method according to claim 1 or claim 2 including:
modifying the set of rules to account for each identified area of potential
risk.
4. A method according to claim 2 or claim 3 including:
analysing the collected field data with a learning algorithm whereby past data
is
taken into account when modifying the set of rules.
5. A method according to claim 4 wherein the learning algorithm analyses the
collected field data to determine whether the identified areas of potential
risk are caused
by a characteristic of the region or due to non-compliance with the set of
rules.
6. A method according to any one of the preceding claims wherein the region
includes a plurality of zones.
7. A method according to claim 6 wherein the set of rules for the region
includes
zone specific rules.

-14-
8. A method according to claim 6 or claim 7 wherein at least one of the
plurality of
zones is a base zone.
9. A method according to claim 8 wherein the base zone includes a base
station.
10. A method according to claim 9 wherein the set of rules is stored in a
database
associated with the base station.
11. A method according to claim 10 including:
uploading the set of rules from the database to a processor of each mobile
station
such that data collected by each mobile station can be compared to the set of
rules for
the region as each mobile station moves throughout the region.
12. A method according to claim 10 or claim 11 including:
downloading the field data collected by each mobile station to the database
associated with the base station, the field data being downloaded from a
mobile station
when that mobile station is within the base zone.
13. A method according to claim 12 wherein the collected field data is
downloaded to
the database by wireless communication.
14. A method according to any one of claims 10 to 13 wherein the database is
used to
store and analyse the collected field data.
15. A method according to any one of claims 10 to 14 wherein the learning
algorithm
is stored in the database.
16. A method according to any one of claims 6 to 15 wherein each mobile
station
includes communication means for communicating with the other mobile stations
in the
region.

-15-
17. A method according to claim 16 wherein the communication means enables
wireless communication between the plurality of mobile stations within the
region such
that data can be conveyed throughout the region.
18. A method according to claim 17 wherein the data is conveyed throughout the
region via data hops from one mobile station to another.
19. A method according to claim 18 wherein one of the data hops communicates
data
from a mobile station in a first zone to at least one mobile station in a
second zone, the
mobile station in the second zone then communicating the data to at least one
other
mobile station in the second zone.
20. A method according to claim 19 wherein each mobile station is in
continuous
wireless communication with at least one other mobile station in the same
zone.
21. A method according to claim 20 wherein each mobile station is in
continuous
communication with all other mobile stations in the same zone.
22. A method according to any one of claims 18 to 21 including:
using the data hops to communicate any modifications to the set of rules for
the
region to all mobile stations within the region.
23. A method according to any one of the preceding claims including:
analysing the collected field data to identify whether or not a mobile station
adhered to the set of rules.
24. A method according to any one of the preceding claims wherein the field
data
collected by a mobile station includes at least one of position data, velocity
data and
orientation data of that mobile station.

-16-
25. A method according to claim 24 wherein the field data collected by the
mobile
station also includes data from at least one other mobile station within the
region.
26. A method according to claim 25 wherein the field data collected by the
mobile
station includes at least one of position data, velocity data and orientation
data of that
mobile station and all other mobile stations in the region.
27. A method according to any one of the preceding claims wherein each area of
potential risk has an associated risk level, each risk level being determined
from the
comparison of the collected field data to the set of rules for the region.
28. A method according to claim 27 including:
generating an alert which is indicative of the risk level.
29. A method according to claim 28 wherein each mobile station includes signal
generating means for generating the alert.
30. A method according to claim 28 or claim 29 wherein the alert includes a
visual
alert and/or an audio alert.
31. A method according to claim 30 wherein the visual alert includes a symbol.
32. A method according to claim 31 wherein the symbol includes a dynamic
graphic.
33. A method according to any one of claims 30 to 32 wherein the audio alert
includes a voice command.
34. A safety enhancement system including:
a plurality of mobile stations, each mobile station being movable within a
region;
a processor associated with each mobile station for receiving field data
relating to
the relative movement of the mobile stations within the region, each processor
having a

-17-
stored set of modifiable rules for the region against which the field data is
compared to
identify one or more areas of potential risk within the region.
35. A safety enhancement system according to claim 34 in which at least one
rule of
the set of rules is modified to account for at least one identified area of
potential risk.
36. A safety enhancement system according to claim 34 or claim 35 in which the
set
of rules is modified to account for each identified area of potential risk.
37. A safety enhancement system according to any claim 35 or claim 36 in which
the
field data is analysed with a learning algorithm such that past data is taken
into account
when modifying the set of rules.
38. A safety enhancement system according to claim 37 in which the learning
algorithm analyses the collected field data to determine whether the
identified areas of
potential risk are caused by a characteristic of the region or due to non-
compliance with
the set of rules.
39. A safety enhancement system according to any one of claims 34 to 38 in
which
the region includes a plurality of zones.
40. A safety enhancement system according to claim 39 in which the set of
rules for
the region includes zone specific rules.
41. A safety enhancement system according to claim 39 or claim 40 in which at
least
one of the plurality of zones is a base zone.
42. A safety enhancement system according to claim 41 in which the base zone
includes a base station.

-18-
43. A safety enhancement system according to claim 42 in which the set of
rules is
stored in a database associated with the base station.
44. A safety enhancement system according to claim 43 in which the set of
rules is
uploaded from the database to the processor of each mobile station.
45. A safety enhancement system according to claim 43 or claim 44 in which the
field
data received by each mobile station is downloaded to the database associated
with the
base station, the field data being downloaded from a mobile station when that
mobile
station is within the base zone.
46. A safety enhancement system according to claim 45 in which the field data
is
downloaded to the database by wireless communication.
47. A safety enhancement system according to any one of claims 43 to 46 in
which
the database is used to store and analyse the collected field data.
48. A safety enhancement system according to any one of claims 43 to 47 in
which
the learning algorithm is stored in the database.
49. A safety enhancement system according to any one of claims 39 to 48 in
which
each mobile station includes communication means for communicating with the
other
mobile stations in the region.
50. A safety enhancement system according to claim 49 in which the
communication
means enables wireless communication between the plurality of mobile stations
within
the region such that data can be conveyed throughout the region.
51. A safety enhancement system according to claim 50 in which the data is
conveyed
throughout the region via data hops from one mobile station to another.

-19-
52. A safety enhancement system according to claim 51 in which one of the data
hops
communicates data from a mobile station in a first zone to at least one mobile
station in
a second zone, the mobile station in the second zone then communicating the
data to at
least one other mobile station in the second zone.
53. A safety enhancement system according to claim 52 in which each mobile
station
is in continuous wireless communication with at least one other mobile station
in the
same zone.
54. A safety enhancement system according to claim 53 in which each mobile
station
is in continuous communication with all other mobile stations in the same
zone.
55. A safety enhancement system according to any one of claims 51 to 54 in
which
the data hops are used to communicate any modifications to the set of rules
for the
region to all mobile stations within the region.
56. A safety enhancement system according to any one of claims 34 to 55 in
which
the field data is analysed to identify whether or not a mobile station adhered
to the set of
rules.
57. A safety enhancement system according to any one of claims 34 to 56 in
which
the field data received by a mobile station includes at least one of position
data, velocity
data and orientation data of that mobile station.
58. A safety enhancement system according to claim 57 in which the field data
received by the mobile station also includes data from at least one other
mobile station
within the region.

-20-
59. A safety enhancement system according to claim 58 in which the field data
collected by the mobile station includes at least one of position data,
velocity data and
orientation data of that mobile station and all other mobile stations in the
region.
60. A safety enhancement system according to any one of claims 34 to 59 in
which
each area of potential risk has an associated risk level, each risk level
being determined
from the comparison of the field data to the set of rules for the region.
61. A safety enhancement system according to claim 60 in which an alert is
generated, the alert being indicative of the risk level.
62. A safety enhancement system according to claim 61 in which each mobile
station
includes signal generating means for generating the alert.
63. A safety enhancement system according to claim 61 or claim 62 in which the
alert
includes a visual alert and/or an audio alert.
64. A safety enhancement system according to claim 63 in which the visual
alert
includes a symbol.
65. A safety enhancement system according to claim 64 in which the symbol
includes
a dynamic graphic.
66. A safety enhancement system according to any one of claims 63 to 65 in
which
the audio alert includes a voice command.
67. A safety enhancement system for a region having a plurality of zones, the
system
including:
a plurality of mobile stations, each mobile station being movable between the
plurality of zones;

-21-
communication means allowing communication of field data between each of the
mobile stations that are in the same zone, the field data relating to the
relative
movement of the mobile stations within the region;
a processor associated with each mobile station for storing the field data
communicated to that mobile station, each processor having a stored set of
modifiable
rules; and
signal generating means for generating an alert to each mobile station based
on a
comparison of the field data communicated to that mobile station and the set
of
modifiable rules.

Description

Note: Descriptions are shown in the official language in which they were submitted.


CA 02730522 2011-01-11
WO 2009/009822 PCT/AU2008/001021
METHOD AND SYSTEM FOR ENHANCING THE SAFETY OF A REGION
FIELD OF THE INVENTION
The present invention relates to a method and system for enhancing the safety
of a
region.
The invention has been developed primarily for use as a method and system for
enhancing the safety of hazardous regions, such as mining environments, in
which the
terrain, environmental conditions and equipment create areas of high risk and
will be
described hereinafter with reference to this application. However, it will be
appreciated
that the invention is not limited to this particular field of use.
BACKGROUND TO THE INVENTION
Any discussion of the prior art throughout the specification should in no way
be
considered as an admission that such prior art is widely known or forms part
of the
common general knowledge in the field.
Certain regions such as mining environments, including open-cut mines, are
extremely hazardous for those operating equipment within such regions. Open-
cut
mines include narrow and long winding roadways for the transportation of
equipment
and mined material. These roadways generally do not include guard rails and
have a
steep drop-off or cliff-like face on one side.
These roadways are commonly unsealed such that the movement of vehicles such
as haul trucks along these roadways produce large dust clouds which
significantly
reduce the visibility of operators of these trucks and other personnel in that
region,
particularly those following or approaching another vehicle.

CA 02730522 2011-01-11 PCT/AU2008/001021
Received 13 May 2009
[AMENDED PAGE]
-2-
In addition, the geographical location of many mines means they are subject to
severe weather conditions including heavy rainfalls, thick fogs and smoke
which again
reduces the visibility in the region. Furthermore, it is common for work to
take place in
the darkness of night. Consequently, this reduced visibility commonly leads to
accidents many of which result in serious injuries or, in the worst cases,
death. Another
factor contributing to accidents in mining environments is fatigue as
operators are often
required to work long shifts.
Some attempts have been made to reduce the number of accidents in hazardous
environments. However, these systems have not adequately accounted for the
diverse
to characteristics and risk scenarios encountered across a mining environment.
It is an object of the present invention to overcome or ameliorate one or more
of
the disadvantages of the prior art, or to at least provide a useful
alternative.
It is an object of the invention in its preferred form to provide a method and
system for'enhancing the safety of a region in which the relative risk of a
situation is
determined and an alert reflecting this risk is generated.
SUMMARY OF THE INVENTION
According to.a first aspect of the invention, there is provided a method of
enhancing the safety of a region, the method including:
defining a set of modifiable rules for the region;
collecting field data from a plurality of mobile stations movable throughout
the
region, the field data including information relating to the relative movement
of the
mobile stations; and
Amended Sheet
IPEA/AU

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Received 13 May 2009
[AMENDED PAGE]
-3-
comparing the collected field data to the set of modifiable rules to identify
one or
more areas of potential risk within the region.
Preferably, the method includes modifying at least one rule of the set of
rules to
account for at least one identified area of potential risk. The method may
include
modifying the set of rules to account for each identified area of potential
risk. The
collected field data is preferably analysed using a learning algorithm such
that past data
is taken into account when modifying the set of rules. The learning algorithm
preferably analyses the collected field data to determine whether the
identified areas of
potential risk are caused by a characteristic of the region or due to non-
compliance with
the set of rules.
The region may include a plurality of zones. Preferably, at least one of the
zones
is a base zone. The base zone may include a base station.
Preferably, the set of rules for the region includes zone specific rules. The
set of
rules is preferably stored in a database associated with the base station. The
set of rules
may be uploaded from the base station to a processor of each mobile station
such that
data collected by each mobile station can be compared to the set of rules for
the region
as each mobile station moves throughout the region.
Each mobile station preferably communicates (downloads) the collected field
data
of that mobile station to the database of the base station when that mobile
station is
within the base zone. Preferably, the collected field data is communicated to
the
database by wireless communication. The database may be used to store and
analyse
the collected field data. The learning algorithm is preferably stored in the
database and
used to analyse the collected field data to identify dangerous points and
frequently
occurring risky scenarios within the region or zone. Such dangerous points and
risky
Amended Sheet
IPEA/AU

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WO 2009/009822 PCT/AU2008/001021
-4-
scenarios may be caused by a characteristic of a particular zone. The set of
rules may
be modified or updated to account for the identified dangerous points and
risky
scenarios.
Preferably, each mobile station includes communication means for
communicating, preferably wirelessly communicating, with the other mobile
stations in
the region such that data can be conveyed throughout the region. Each mobile
station is
preferably continuously in wireless communication with at least one other
mobile
station in the same zone. More preferably, each mobile station is in
continuous
communication with all other mobile stations in the same zone.
The data is preferably conveyed throughout the region via data hops from one
mobile station to another. Preferably, one of the data hops communicates
(transmits and
receives) data from a mobile station in a first zone to at least one mobile
station in a
second zone, the mobile station in the second zone then communicating the data
to at
least one other mobile station in the second zone. By using data hops, any
changes to
the set of rules can be broadcast to all mobile stations within the region,
including those
mobile stations outside the base zone. In addition, data hops may allow each
vehicle to
receive field data from all other vehicles in the region.
The collected field data may be analysed to identify whether or not a mobile
station adhered to the set of rules. The field data collected by a mobile
station may
include at least one of position, velocity and orientation data of that mobile
station and
at least one, preferably all, other mobile stations in its proximity. More
preferably, the
field data includes data of the relative position, velocity and orientation of
other mobile
stations in the same zone as the mobile station which collected that data. The
mobile

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Received 13 May 2009
[AMENDED PAGE]
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station in one zone may also collect data of the relative position, velocity
and
orientation of mobile stations in other zones.
Each identified area of potential risk preferably has an associated risk
level, each
risk level being determined from the comparison of the collected field data to
the set of
rules for the region. That is, one risk scenario may be deemed to be a high
risk in one
zone and a similar scenario in another zone may be deemed to be a low risk.
Preferably,
the method includes generating an alert which is indicative of the risk level.
It will be
appreciated by those skilled in the art that for certain scenarios which are
identified as
having a low risk level, an alert may not be generated. It will also be
appreciated that
this evaluation of the zone specific risk level, will reduce the occurrence of
false,
misleading and/or unnecessary alerts.
Preferably, each mobile station includes signal generating means for
generating.
the alert. The alert generated by the signal generating means preferably
includes a
visual alert and/or an audio alert. The visual alert may include a symbol. The
symbol
may include a dynamic graphic. The audio alert may include sound and/or a
voice
command.
According to a second aspect of the invention, there is provided a safety
enhancement system including:
a plurality of mobile stations, each mobile station being movable within a
region;
a processor associated with each mobile station for receiving field data
relating to
the relative movement of the mobile stations within the region, each processor
having a
stored set of modifiable rules for the region against which the field data is
compared to
identify one or more areas of potential risk within the region.
Amended Sheet
)PEA/AU

=
CA 02730522 20ii-0i-ii PCT/AU2008/001021
Received 13 May 2009
[AMENDED PAGE]
-6-
According to a third aspect of the invention, there is provided a safety
enhancement system for a region having a plurality of zones, the system
including:
a plurality of mobile stations, each mobile station being movable between the
plurality of zones;
communication means allowing communication of field data between each of the
mobile stations that are in the same zone, the field data relating to the
relative
movement of the mobile stations within the region;
a.processor associated with each mobile station for storing the field data
communicated to that mobile station, each processor having a stored set of
modifiable
rules; and
signal generating means for generating an alert to each mobile station based
on a
comparison of the field data communicated to that mobile station and the set
of
modifiable rules.
Again, the set of rules may be modified as the system learns from the
collected
field data of the risks associated with particular areas of the region or
zone.
Certain embodiments of the method and systems described above may be used in
a mining environment.
BRIEF DESCRIPTION OF THE DRAWINGS'
A preferred embodiment of the invention will now be described, by way of
example only, with reference to the accompanying drawings in which:
Figure 1 is a diagrammatic view of a region having a plurality of zones in
which a
safety enhancement system according to the invention is implemented;
Figure 2 is a schematic view showing communication lines between mobile
stations within the region;
Amended Sheet
IPEA/AU

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Figure 3 is a schematic view illustrating wireless uploading and downloading
of
data between a base station and a mobile station;
Figure 4 is a flow chart of the process of downloading field data;
Figure 5 is a diagrammatic view of a region the field data is used to analyse
an
operator's performance;
Figure 6 is a flow chart showing the process of uploading rules for the region
from a database associated with a base station and onto the mobile stations;
Figure 7 is a schematic view of an operator interface for the mobile station;
Figure 8 is a schematic view of a signal processing box for the mobile
station; and
Figure 9 is an example of a blank showing the layout of the operator
interface.
DETAIL DESCRIPTION OF A PREFERRED EMBODIMENT OF THE INVENTION
Referring to the drawings, the safety enhancement system I is used to enhance
the
safety of a region such as a mine site 2. As shown in Figure 1, the mine site
2 has a
plurality of zones 3 one of which is preferably designated as a base zone 4.
The base
zone is preferably connected to an internal site network. A plurality of
mobile stations
5 are located in or on movable objects in the form of haul trucks 6, utility
vehicles or
other vehicles 7 and personnel 8 which are movable throughout the mine site 2
between
the zones 3. It will be appreciated that the mobile stations 5 may be
associated with
other forms of movable objects as well as fixed objects within the region.
The base zone 4 includes a base station 9 in communication with a database 10
which stores a set of rules for the mine site 2. These rules are established
or defined by
mine management or, as discussed in more detail below, the rules can be
determined
and refined through learning by the system before being approved by mine

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-8-
management. The rules govern how the operators associated with the various
mobile
stations 5 are to control movement of their vehicle or themselves (in the case
of
personnel) within each zone 3 and between the zones of the mine site 2.
Each mobile station 5 includes a signal processing box 11. The signal
processing
box 11 includes a processor having a memory and communication means. Each
mobile
station 5 includes an operator interface 12 in communication with the signal
processing
box 11. The signal processing box 11 interconnects with sensors and other
associated
sensing equipment of the associated mobile station to determine the position,
velocity
and other various states of that mobile station. The communication means
allows data
from other mobile stations 5 to be detected, collected and stored in the
memory of the
signal processing box 11 of that mobile station such that the relative
proximity to the
other mobile stations can be ascertained. The signal processing box 11 enables
field
data to be transmitted and received, preferably wirelessly, between the mobile
stations 5
as they move throughout the mine site.
The set of rules for the region established by mine management or on the
learning
of the system is uploaded from the database and transmitted from the base
station 9 to
the mobile station 5 when the associated mobile station is in the base zone 4.
The
uploaded set of rules is stored in the processor of the mobile station's
signal processing
box 11.
As each mobile station moves throughout the region, the mobile stations 5
within
the same zone transmit field data relating to their velocity, position and
orientation to
each of the other mobile stations within that zone 3. This data is received
wirelessly via
the communication means by the other mobile stations 5 within that zone 3 and
stored
in the associated processor of that mobile station's signal processing box 11.

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The processor compares the collected field data that it has received from the
other
mobile stations 5 within that zone 3 with the uploaded set of rules to
identify one or
more areas of potential risk within the zone.
The operator interface includes a signal generating means 13 having a display
14
and an audio device 15 for producing visual and/or audio alerts to the
operator of the
mobile station 5. These alerts are based on the risk level determined by the
processor
from the comparison of the collected field data and the set of rules for the
region and, in
particular, the rules for that specific zone 3. In the event that the risk
level is
determined to be high, an appropriate alert will be generated by the signal
generating
means 16 such that the operator associated with that mobile station 5 will
become aware
that a high level risk situation is imminent.
For example, if a haul truck 6 is approaching another oncoming haul truck at a
relatively high velocity the risk level may be established as being high.
Similarly, if a
haul truck 6 is travelling through a fog or a dust cloud where there is poor
visibility and
another mobile station 5 has unexpectedly parked due to a breakdown, for
example, the
system is able to alert the operator of the haul truck of the high risk
situation arising
from the parked vehicle. In contrast, if a haul truck 6 is moving through a
car park in
which several haul trucks or other vehicles are parked, the risk level may be
determined
to be low in which case a low level alert may be generated or no alert at all
may be
generated. Continuing with the example of the car park, if the field data
establishes that
there are personnel moving through the car park a high level warning may be
generated
to alert the operator of the haul truck to the fact that these personnel are
in close
proximity and that they should proceed with caution.

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Accordingly, it will be appreciated that the set of rules for the region, and
in
particular, the zone specific rules enable the field data to be analysed to
identify the
context in which the data has been generated. That is, for example, in certain
situations
a stationary vehicle in one zone may be a normal situation and may not
generate an
unnecessary alarm that would cause concern to the operator. Likewise, in
another zone
a stationary vehicle may be considered to be a hazard such that an appropriate
alert
signifying the level of risk associated with this area is provided to the
operator. That is,
the system is able to recognise the context of a situation and generate a
signal indicative
of this context.
Upon return to the base zone 4, all data collected by and stored in the
processor of
that mobile station 5 is downloaded via wireless communication to the base
station 9
and stored in the database. This downloaded data is analysed by mine
management
and/or the system for two purposes.
Firstly, mine management is able to use this data to identify whether or not
an
operator of a haul truck, for example, has operated their vehicle in a manner
such that
the rules of the mine site 2 were adhered to. For example, mine management
will be
able to determine whether or not the operator drove at excessive speed,
followed too
closely to the vehicle in front, drove too closely to the edge of the road
and, in
particular, at which locations and the number of instances in which the rules
were not
adhered to.
By monitoring and analysing operator performance, it can be detennined whether
an identified area of potential risk was caused by the characteristics of the
zone in that
area such that the rules should be reviewed and modified to account for these

CA 02730522 2011-01-11
WO 2009/009822 PCT/AU2008/001021
-11-
characteristics of the zone or whether the identified area of risk arose due
to the operator
not adhering to the rules.
Secondly, mine management is able to use the downloaded field data to identify
hotspots or areas of potential risk within the region or a particular zone and
modify one
or more of the rules to account for each identified area of potential risk.
This is
advantageous as many hotspots are not known to mine management when the rules
are
initially set. For example, there may be particular sections of a roadway
which create
blind spots or otherwise require vehicles to slow down. In such situations,
vehicles may
inadvertently get closer to the vehicle in front and thus may not have
sufficient distance
to stop in the event that the leading vehicle suddenly pulls up. The set of
rules will
generally include rules specifying the safe travelling distance between
vehicles.
Accordingly, if the analysis of the collected field data uncovers that at a
certain point or
section of the roadway vehicles routinely travel too closely to the vehicle in
front, mine
management can update the set of rules to account for this area of potential
risk. It will
be appreciated that the learning algorithm may be used to identify an area of
potential
risk which arises due to the characteristics of the zone and automatically
modify the set
of rules.
If the rules are updated when a mobile station 4 is outside the base zone 5, a
data
hop is used to transmit the updated rules from a mobile station in a first
zone to a
mobile station in a second zone until all mobile stations have been updated.
This may
occur as the first mobile station moves from the first zone and enters the
second zone.
Instead, certain mobile stations may be able to communicate with another
mobile station
in another zone. In addition, these data hops also allow each vehicle to
receive field
data from all other vehicles in the region.

CA 02730522 2011-01-11
WO 2009/009822 PCT/AU2008/001021
- 12-
Accordingly, it is an advantage of at least a preferred embodiment of the
safety
enhancement system and method to track the movement of mobile stations within
a
region and use field data in combination with a set of rules to determine the
context of a
potential risk to the mobile station and thus generate warnings that reflect
the actual risk
level.
Although the invention has been described with reference to specific examples,
it
will be appreciated by those skilled in the art that the invention may be
embodied in
many other forms.

Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

2024-08-01:As part of the Next Generation Patents (NGP) transition, the Canadian Patents Database (CPD) now contains a more detailed Event History, which replicates the Event Log of our new back-office solution.

Please note that "Inactive:" events refers to events no longer in use in our new back-office solution.

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Event History

Description Date
Inactive: IPC expired 2023-01-01
Inactive: IPC expired 2018-01-01
Application Not Reinstated by Deadline 2016-07-13
Time Limit for Reversal Expired 2016-07-13
Inactive: Abandoned - No reply to s.29 Rules requisition 2015-09-10
Inactive: Abandoned - No reply to s.30(2) Rules requisition 2015-09-10
Deemed Abandoned - Failure to Respond to Maintenance Fee Notice 2015-07-13
Inactive: S.30(2) Rules - Examiner requisition 2015-03-10
Inactive: S.29 Rules - Examiner requisition 2015-03-10
Inactive: Report - QC failed - Minor 2015-02-23
Letter Sent 2014-07-29
Reinstatement Requirements Deemed Compliant for All Abandonment Reasons 2014-07-23
Deemed Abandoned - Failure to Respond to Maintenance Fee Notice 2014-07-11
Letter Sent 2013-09-10
Reinstatement Requirements Deemed Compliant for All Abandonment Reasons 2013-09-05
Deemed Abandoned - Failure to Respond to Maintenance Fee Notice 2013-07-11
Letter Sent 2013-07-04
All Requirements for Examination Determined Compliant 2013-06-18
Request for Examination Received 2013-06-18
Request for Examination Requirements Determined Compliant 2013-06-18
Inactive: Cover page published 2012-11-26
Letter Sent 2012-11-13
Reinstatement Requirements Deemed Compliant for All Abandonment Reasons 2012-10-26
Deemed Abandoned - Failure to Respond to Maintenance Fee Notice 2012-07-11
Inactive: IPC assigned 2012-05-04
Inactive: Correspondence - PCT 2012-03-30
Inactive: IPC assigned 2012-02-28
Inactive: IPC assigned 2012-02-27
Inactive: First IPC assigned 2012-02-27
Inactive: IPC assigned 2012-02-27
Inactive: IPC assigned 2012-02-20
Inactive: IPC assigned 2012-02-20
Inactive: IPC assigned 2012-02-20
Inactive: Notice - National entry - No RFE 2011-02-22
Application Received - PCT 2011-02-22
National Entry Requirements Determined Compliant 2011-01-11
Application Published (Open to Public Inspection) 2009-01-22

Abandonment History

Abandonment Date Reason Reinstatement Date
2015-07-13
2014-07-11
2013-07-11
2012-07-11

Maintenance Fee

The last payment was received on 2014-07-23

Note : If the full payment has not been received on or before the date indicated, a further fee may be required which may be one of the following

  • the reinstatement fee;
  • the late payment fee; or
  • additional fee to reverse deemed expiry.

Patent fees are adjusted on the 1st of January every year. The amounts above are the current amounts if received by December 31 of the current year.
Please refer to the CIPO Patent Fees web page to see all current fee amounts.

Fee History

Fee Type Anniversary Year Due Date Paid Date
Basic national fee - standard 2011-01-11
MF (application, 2nd anniv.) - standard 02 2010-07-12 2011-01-11
MF (application, 3rd anniv.) - standard 03 2011-07-11 2011-06-16
Reinstatement 2012-10-26
MF (application, 4th anniv.) - standard 04 2012-07-11 2012-10-26
Request for examination - standard 2013-06-18
Reinstatement 2013-09-05
MF (application, 5th anniv.) - standard 05 2013-07-11 2013-09-05
MF (application, 6th anniv.) - standard 06 2014-07-11 2014-07-23
Reinstatement 2014-07-23
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
ACUMINE PTY LTD
Past Owners on Record
EDUARDO NEBOT
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
Documents

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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Description 2011-01-10 12 460
Claims 2011-01-10 9 291
Abstract 2011-01-10 1 55
Drawings 2011-01-10 6 109
Representative drawing 2012-09-30 1 8
Notice of National Entry 2011-02-21 1 193
Courtesy - Abandonment Letter (Maintenance Fee) 2012-09-04 1 172
Notice of Reinstatement 2012-11-12 1 164
Reminder - Request for Examination 2013-03-11 1 118
Acknowledgement of Request for Examination 2013-07-03 1 177
Courtesy - Abandonment Letter (Maintenance Fee) 2013-09-04 1 172
Notice of Reinstatement 2013-09-09 1 163
Courtesy - Abandonment Letter (Maintenance Fee) 2014-07-28 1 174
Notice of Reinstatement 2014-07-28 1 165
Courtesy - Abandonment Letter (Maintenance Fee) 2015-09-07 1 171
Courtesy - Abandonment Letter (R30(2)) 2015-11-04 1 164
Courtesy - Abandonment Letter (R29) 2015-11-04 1 164
PCT 2011-01-10 15 573
PCT 2011-03-02 1 51
Correspondence 2012-03-29 2 74