A VR-based underground emergency response management system and method

Abstract

The present invention discloses a VR-based underground emergency disposal management system and method, which belongs to the field of emergency management technology, and includes: an emergency scene simulation module, an escape operation planning module, and an escape operation assessment module. The emergency scene simulation module is used to create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and input a set of disaster events. The escape operation planning module is used to plan a disaster avoidance route, and at the same time, an event node trigger event execution strategy is set. The escape operation assessment module is used to calculate the accuracy of the assessment personnel's actions, set an accuracy judgment threshold, and determine whether the assessment personnel need retraining or targeted training. The present invention uses virtual reality to intuitively display the internal disaster situation of the mine in the training of underground emergency treatment personnel, effectively improving the accuracy and intuitiveness of the training, while selecting the best disaster avoidance route for the trainees, and realizing the emergency disposal management of the trainees.

Description

Technical Field

[0001] The present invention belongs to the technical field of emergency management, and specifically relates to a VR-based underground emergency disposal management system and method. Background Art

[0002] With the increase of mine depth and mining difficulty, underground mine safety accidents occur frequently, especially in the case of sudden disasters, such as gas explosion, coal and gas outburst, roof collapse, etc., which will not only cause casualties, but also have a serious impact on the normal production and operation of the mine. Therefore, how to deal with the accident correctly and quickly after it occurs has become an important issue in mine safety management.

[0003] As an emerging technical means, virtual reality (VR) technology has realistic simulation effects and interactive experience, and has shown great potential in education, medical care, military and other fields.

[0004] For example, the patent application with the publication number CN106959748A discloses a tunnel surrounding rock disaster emergency plan system and method based on virtual reality, in which a monitoring terminal is set in the tunnel, and a thermal infrared temperature measuring probe, a microseismic sensor and an acoustic emission sensor are fixedly installed in the tunnel. The thermal infrared temperature measuring probe, the microseismic sensor and the acoustic emission sensor are connected to the monitoring terminal through a wireless device, and the monitoring terminal is connected to a real-time three-dimensional computer on the well through a wired optical cable. The real-time three-dimensional computer transmits information to the VR terminal, and personnel can watch the roof surrounding rock conditions at any position and at any time in the monitoring area in real time at any time and anywhere, and the observers do not need to go underground. It involves multi-source physical and chemical information of the tunnel surrounding rock, has a large amount of information, and timely data feedback, which can provide accurate information for surrounding rock disaster prediction (reporting).

[0005] The above patents have the problem raised by this background technology: when a mine disaster occurs, various accidents will occur in underground projects. Under the premise of mine disasters, the damage is multi-point. The existing technology evaluates the underground situation based on the existing situation, and does not consider the selection of the best escape route for personnel while combining virtual reality to implement personnel training. Therefore, this application designs an underground emergency response management system and method based on VR. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention proposes a VR-based underground emergency disposal management system and method, which can effectively solve the problems in the background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A VR-based underground emergency disposal management system, comprising: an emergency scenario simulation module, an escape operation planning module, and an escape operation assessment module. The emergency scenario simulation module is used to create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and input a set of disaster events. The escape operation planning module is used to plan disaster avoidance routes and set event node trigger event execution strategies. The escape operation assessment module is used to calculate the accuracy of assessors' actions, set an accuracy judgment threshold, and determine whether assessors need retraining or targeted training.

[0009] A further improvement of the present invention is that the escape operation planning module includes a route planning unit and an event execution unit, the route planning unit is used to calculate the hazard threat values ​​corresponding to the gas concentration, roof hazard coefficient, water level, well temperature, and dust concentration in the emergency scene randomly created by the system, and select the best disaster avoidance route; the event execution unit is used to enter the event execution strategy into a first action sequence set, and the event execution strategy includes making an underground phone call, using a self-rescuer, using a wet towel, lying down, entering a refuge chamber, and using a fire extinguisher.

[0010] On the other hand, the present invention provides a VR-based underground emergency management method, comprising the following specific steps:

[0011] S1. Create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and enter a collection of disaster events;

[0012] S2, setting a disaster event node in the underground channel, extracting all path event node data sets of the current disaster event, setting a safety threshold interval, and when the event node data set meets the hazard safety threshold interval value, extracting the path and including it in the safety path set;

[0013] S3, calculating the hazard stress value of each path in the set of five emergency scenario safety paths through event node data and selecting the best disaster avoidance route;

[0014] S4, triggering an event execution strategy according to the event node, and entering the event execution strategy into the first action sequence set;

[0015] S5. After the training, the actual actions of the assessee are entered into the second action sequence set. By comparing the first action sequence set with the second action sequence set, the accuracy of the assessee's actions is calculated, and an accuracy judgment threshold is set to determine whether the assessee needs retraining or targeted training.

[0016] A further improvement of the present invention is that the data set of all path event nodes is represented as in, Represents the event node data set of the i-th path, sets the safety threshold interval [0, T_S], and extracts The data set is included in the safe path set Where p represents the total number of safe paths, and the gas concentration dataset Gc randomly generated by all nodes in the safe path set is extracted. j =(gc 1 , gc 2 , …, gc m ), roof hazard factor data set Rh j =(rh 1 , rh 2 ,…,rh m ), water level height dataset Gh j =(gh 1 ,gh 2 ,…,gh m ), well temperature data set Tw j =(tw 1 , tw 2 ,…,tw m ), dust concentration data set Dc j =(dc 1 , dc 2 ,…,dc m ), where m represents the number of event nodes set underground, gc j represents the gas concentration of the jth node, rh j represents the roof hazard factor of the jth node, gh j Indicates the water level of the jth node, tw j represents the well temperature at the jth node, dc j represents the dust concentration of the jth node, where (Gc j , Rh j , Gh j , Tw j , Dc j )∈Sa j .

[0017] A further improvement of the present invention is that the calculation formula of the hazard stress value is: Among them, Hs_Gc represents the hazard threat value of the gas emergency scenario, Hs_Rh represents the hazard threat value of the roof emergency scenario, Hs_Gh represents the hazard threat value of the flood emergency scenario, Hs_Tw represents the hazard threat value of the fire emergency scenario, and Hs_Dc represents the hazard threat value of the coal dust emergency scenario.

[0018] The present invention is further improved in that the optimal disaster avoidance route is selected by selecting the min(Sa j)Determine, min(Sa j )represents the path corresponding to the minimum hazard stress value.

[0019] A further improvement of the present invention lies in writing the event execution strategy corresponding to the event node of the optimal disaster avoidance route into the first action sequence set represents the event execution strategy of the j-th node in the k-th emergency scenario, represents the event execution strategy of the m-th node in the k emergency scenarios, where m represents the number of event nodes set underground.

[0020] A further improvement of the present invention lies in that the specific steps of S5 include:

[0021] S51. Extract the first action sequence set in the current disaster scenario;

[0022] S52. When the assessment personnel reach the first event node, record the personnel operation as "Action 1" and enter "Action 1" into the second action sequence set a′;

[0023] S53. Set a conditional function If F holds, record the current node action value V j as 1 and update the second actual operation sequence a′. If F does not hold, record the current node action value V j as 0 and calculate the action accuracy rate of the assessment personnel

[0024] S54. Repeat steps S52 and S53 until the assessment personnel's actions are completed.

[0025] S55. Set the accuracy judgment threshold TP = 0.8. When P < TP, it is judged that the assessment personnel need to be retrained. When TP ≤ P < 1, it is judged that the assessment personnel need targeted training. When P = 1, it is judged that the assessment personnel pass the assessment.

[0026] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned VR-based underground emergency disposal management method.

[0027] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned VR-based underground emergency disposal management method.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] (1) Generate disaster time data and combine it with virtual reality to visually display the disaster situation inside the mine, effectively improving the accuracy and intuitiveness of training;

[0030] (2) The hazard stress value of each path in the set of five emergency scenario safe paths was calculated through event node data to select the best disaster avoidance route, thus achieving the safe evacuation of operators; BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention shows a VR-based underground emergency disposal management system composition schematic diagram;

[0032] Figure 2 The present invention shows a flow chart of an underground emergency disposal management method based on VR;

[0033] Figure 3 The device schematic diagram of a VR-based underground emergency disposal management system of the present invention is shown;

[0034] Figure 4 A schematic diagram of a storage medium of the present invention is shown. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0036] Example 1

[0037] See also Figure 1 The present invention provides an underground emergency disposal management system based on VR, including: an emergency scenario simulation module, an escape operation planning module, and an escape operation assessment module. The emergency scenario simulation module is used to create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and input a set of disaster events. The escape operation planning module is used to plan disaster avoidance routes and set event node trigger event execution strategies. The escape operation assessment module is used to calculate the accuracy of the assessor's actions, set an accuracy judgment threshold, and determine whether the assessor needs retraining or targeted training.

[0038] In this embodiment, the escape operation planning module includes a route planning unit and an event execution unit. The route planning unit is used to calculate the hazard threat values ​​corresponding to the gas concentration, roof hazard coefficient, water level, well temperature, and dust concentration in the emergency scene randomly created by the system, and select the best disaster avoidance route; the event execution unit is used to enter the event execution strategy into the first action sequence set, and the event execution strategy includes making an underground phone call, using a self-rescuer, using a wet towel, lying down, entering a refuge chamber, and using a fire extinguisher.

[0039] Example 2

[0040] A VR-based underground emergency disposal management method, which is implemented based on any one of the VR-based underground emergency disposal management systems described above, Figure 2 The present invention shows a flow chart of an underground emergency disposal management method based on VR, including the following specific steps:

[0041] S1. Create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and enter a collection of disaster events;

[0042] S2, setting a disaster event node in the underground channel, extracting all path event node data sets of the current disaster event, setting a safety threshold interval, and when the event node data set meets the hazard safety threshold interval value, extracting the path and including it in the safety path set;

[0043] In this embodiment, the data set of all path event nodes is represented as in, Represents the event node data set of the i-th path, sets the safety threshold interval [0, T_S], and extracts The data set is included in the safe path set Where p represents the total number of safe paths, and the gas concentration dataset Gc randomly generated by all nodes in the safe path set is extracted. j =(gc 1 , gc 2 , …, gc m ), roof hazard factor data set Rh j =(rh 1 , rh 2 ,…,rh m ), water level height dataset Gh j =(gh 1 ,gh 2 ,…,gh m ), well temperature data set Tw j =(tw 1 , tw 2 ,…,tw m ), dust concentration data set Dc j =(dc 1 , dc 2 ,…,dc m ), where m represents the number of event nodes set underground, gc j represents the gas concentration of the jth node, rh j represents the roof hazard factor of the jth node, gh j Indicates the water level of the jth node, twj represents the well temperature at the jth node, dc j represents the dust concentration of the jth node, where (Gc j , Rh j , Gh j , Tw j , Dc j )∈Sa j .

[0044] S3, calculating the hazard stress value of each path in the set of five emergency scenario safety paths through event node data and selecting the best disaster avoidance route;

[0045] In this embodiment, the calculation formula of the hazard stress value is: Among them, Hs_Gc represents the hazard threat value of the gas emergency scenario, Hs_Rh represents the hazard threat value of the roof emergency scenario, Hs_Gh represents the hazard threat value of the flood emergency scenario, Hs_Tw represents the hazard threat value of the fire emergency scenario, and Hs_Dc represents the hazard threat value of the coal dust emergency scenario.

[0046] In this embodiment, the optimal disaster avoidance route is selected by selecting the min(Sa j ) is determined, min(Sa j ) represents the path corresponding to the minimum hazard stress value.

[0047] S4. Trigger an event execution strategy according to the event node. In this embodiment, the event execution strategy corresponding to the event node of the optimal disaster avoidance route is written into the first action sequence set. represents the event execution strategy of the jth node of the kth emergency scenario, It represents the event execution strategy of the mth node of k emergency scenarios, and m represents the number of event nodes set underground.

[0048] S5. After the training, the actual actions of the assessee are entered into the second action sequence set. By comparing the first action sequence set with the second action sequence set, the accuracy of the assessee's actions is calculated, and an accuracy judgment threshold is set to determine whether the assessee needs retraining or targeted training.

[0049] The specific steps of S5 include:

[0050] S51, extracting the first action sequence set in the current disaster scene;

[0051] S52, when the assessor reaches the first event node, the assessor's operation is recorded as "action 1", and "action 1" is entered into the second action sequence set a';

[0052] S53. Set the conditional function If F holds, record the current node action value V j as 1 and update the second actual operation sequence a'. If it does not hold, record the current node action value V j as 0 and calculate the action accuracy rate of the assessor

[0053] S54. Repeat steps S52 and S53 until the assessor's action ends;

[0054] S55. Set the accuracy rate judgment threshold TP = 0.8. When P < TP, it is judged that the assessor needs to be retrained. When TP ≤ P < 1, it is judged that the assessor needs targeted training. When P = 1, it is judged that the assessor passes the assessment.

[0055] Embodiment 3

[0056] Figure 3 The schematic diagram of the device of the present invention is shown. This embodiment provides an electronic device, including: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory;

[0057] The processor executes the above-mentioned VR-based underground emergency disposal management system by calling the computer program stored in the memory.

[0058] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPUs) and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the VR-based underground emergency disposal management method provided by the above method embodiment. This electronic device can also include other components for realizing the functions of the device. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0059] Embodiment 4

[0060] Figure 4 The schematic diagram of a storage medium of the present invention is shown. This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored;

[0061] When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned VR-based underground emergency disposal management system.

[0062] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0063] In summary, the present invention develops an underground emergency response management system based on VR technology, which can simulate the real underground mine environment, achieve a high degree of restoration of accident scenes, and provide all-round auxiliary support for accident emergency response work. At the same time, by setting up an escape operation assessment module, the training results of the assessors can be accepted, which can improve the miners' emergency response capabilities and enhance the prevention and response capabilities to sudden disasters.

[0064] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0065] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0066] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0067] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0068] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A VR-based underground emergency disposal management system, characterized in that: It includes: Emergency scenario simulation module, escape operation planning module, escape operation assessment module. The emergency scenario simulation module is used to create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and input a set of disaster events. The escape operation planning module is used to plan disaster avoidance routes and set event node trigger event execution strategies. The escape operation assessment module is used to calculate the accuracy of the assessor's actions, set the accuracy judgment threshold, and determine whether the assessor needs retraining or targeted training; The escape operation planning module includes a route planning unit and an event execution unit. The route planning unit is used to calculate the hazard stress value corresponding to the gas concentration, roof hazard factor, water level, well temperature, and dust concentration in the emergency scene randomly created by the system, and select the best disaster avoidance route; After entering the disaster event set, set the disaster event node in the underground channel and extract the event node data set of all paths of the current disaster event; The all path event node dataset is represented as in, Represents the event node data set of the i-th path, sets the safety threshold interval [0, T_S], and extracts The data set is included in the safe path set Where p represents the total number of safe paths, and the gas concentration dataset Gc randomly generated by all nodes in the safe path set is extracted. j =(gc 1 ,gc 2 ,…,gc m ), roof hazard factor data set Rh j =(rh 1 ,rh 2 ,…,rh m ), water level height dataset Gh j =(gh 1 ,gh 2 ,…,gh m ), well temperature data set Tw j =(tw 1 ,tw 2 ,…,tw m ), dust concentration data set Dc j =(dc 1 ,dc 2 ,…,dc m ), where m represents the number of event nodes set underground, gc j represents the gas concentration of the jth node, rh j represents the roof hazard factor of the jth node, gh j Indicates the water level of the jth node, tw j represents the well temperature at the jth node, dc j represents the dust concentration of the jth node, where (Gcj, Rhj, Ghj, Twj, Dcj)∈Saj; The calculation formula of the hazard threat value is: Among them, Hs_Gc represents the hazard stress value of the gas emergency scenario, Hs_Rh represents the hazard stress value of the roof emergency scenario, Hs_Gh represents the hazard stress value of the flood emergency scenario, Hs_Tw represents the hazard stress value of the fire emergency scenario, and Hs_Dc represents the hazard stress value of the coal dust emergency scenario; The optimal disaster avoidance route is determined by selecting min(Saj) in the current disaster scenario, where min(Saj) represents the path corresponding to the minimum hazard stress value.

2. The VR-based underground emergency disposal management system according to claim 1, characterized in that: The event execution unit is used to enter the event execution strategy into a first action sequence set, and the event execution strategy includes making an underground phone call, using a self-rescuer, using a wet towel, lying down, entering a refuge chamber, and using a fire extinguisher.

3. A VR-based underground emergency disposal management method, which is implemented based on a VR-based underground emergency disposal management system as claimed in any one of claims 1 to 2, characterized in that: The specific steps include: S1. Create underground emergency scenarios for gas, roof, flood, fire, and coal dust disasters, and enter a collection of disaster events; S2, setting a disaster event node in the underground channel, extracting all path event node data sets of the current disaster event, setting a safety threshold interval, and when the event node data set meets the hazard safety threshold interval value, extracting the path and including it in the safety path set; S3, calculating the hazard stress value of each path in the set of five emergency scenario safety paths through event node data and selecting the best disaster avoidance route; S4, triggering an event execution strategy according to the event node, and entering the event execution strategy into the first action sequence set; S5. After the training, the actual actions of the assessor are entered into the second action sequence set. By comparing the first action sequence set with the second action sequence set, the accuracy of the assessor's actions is calculated, and an accuracy judgment threshold is set to determine whether the assessor needs retraining or targeted training.

4. A VR-based underground emergency management method as claimed in claim 3, characterized in that: Write the event execution strategy corresponding to the event node of the optimal disaster avoidance route into the first action sequence set represents the event execution strategy of the jth node of the kth emergency scenario, It represents the event execution strategy of the mth node of k emergency scenarios, and m represents the number of event nodes set underground.

5. A VR-based underground emergency management method as claimed in claim 4, characterized in that: The specific steps of S5 include: S51, extracting the first action sequence set in the current disaster scene; S52, when the assessor reaches the first event node, the assessor's operation is recorded as "action 1", and "action 1" is entered into the second action sequence set a'; S53. Set conditional function If F holds, then record the current node action value V j is 1, and updates the second actual operation sequence a'. If F does not hold, then record the current node action value V j =0, calculate the accuracy of the examiner's action S54, repeat steps S52 and S53 until the examiner finishes the action; S55. Set the accuracy judgment threshold TP=0.

8. When P<TP, it is judged that the assessor needs to be retrained. When TP≤P<1, it is judged that the assessor needs targeted training. When P=1, it is judged that the assessor has passed the assessment.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the VR-based underground emergency disposal management method according to any one of claims 3 to 5 is implemented.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for underground emergency disposal management based on VR according to any one of claims 3 to 5 is implemented.

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