Personnel behavior and decision simulation analysis system under tunnel disaster

Abstract

The invention provides a personnel behavior and decision simulation analysis system under tunnel disasters, and the system is characterized in that the system comprises a drill simulation and data collection end, a data transmission module of the drill simulation and data collection end; the VR module is used for displaying the simulation scene to the drill personnel; the interaction acquisition module is used for acquiring interaction data of drilling personnel; the physiological acquisition module is used for acquiring physiological data of drilling personnel, and the data processing end comprises a data processing end data transmission module which is used for receiving the physiological data and interaction data and sending tunnel disaster simulation data to the drilling simulation and data acquisition end; the simulation evolution module is used for generating dynamically changing tunnel disaster simulation data according to the interaction data and the tunnel disaster data; and the evaluation module is used for performing analysis according to the physiological data, the interaction data and the tunnel disaster simulation data to obtain an evaluation result of the drilling personnel. In a word, the method can obtain an accurate simulation escape evaluation result of the drill personnel, and improves the escape success rate of the drill personnel.

Description

Technical Field

[0001] The invention relates to an analysis system, in particular to a personnel behavior and decision-making simulation analysis system under tunnel disasters. Background Art

[0002] With the continuous expansion of my country's transportation network, tunnel engineering has achieved unprecedented development. However, the problem of disaster prevention and rescue of tunnel disasters has become increasingly severe. The dark environment, closed structure and narrow space in the tunnel greatly increase the difficulty of evacuation and rescue. Once a disaster such as fire, flood or collapse occurs, it often leads to serious casualties.

[0003] When a tunnel disaster occurs, in addition to the danger of the disaster itself, the evacuation behavior and escape decision of the trapped people are directly related to their life safety. Therefore, it is very important to conduct evacuation drills for tunnel disaster scenarios, which can not only identify the weak links in the evacuation process, but also provide optimization suggestions to help improve people's coping ability.

[0004] However, existing evacuation drills are usually based on emergency drills with real scenes, which has many problems such as lack of realism, high cost, strong destructiveness, and difficulty in control. In addition, traditional drills are difficult to monitor and feedback the behavior trajectory, movement speed, and physiological and psychological state changes of participants in real time, resulting in poor drill results and difficulty in providing a scientific basis for subsequent summary analysis and strategy optimization. Summary of the invention

[0005] The present invention is made to solve the above-mentioned problems, and aims to provide a personnel behavior and decision-making simulation and analysis system under tunnel disasters.

[0006] The present invention provides a personnel behavior and decision-making simulation analysis system under tunnel disasters, which is used to obtain the evaluation results of the drill personnel under the tunnel disaster scene, and has the following characteristics: a drill simulation and data acquisition terminal, which is worn by the drill personnel; a data processing terminal, which is connected to the drill simulation and data acquisition terminal in communication, wherein the drill simulation and data acquisition terminal includes: a drill simulation and data acquisition terminal data transmission module, which is used to receive tunnel disaster simulation data and send physiological data and interactive data to the data processing terminal; a VR module, which is used to construct a simulation scene according to the tunnel disaster simulation data and display the simulation scene to the drill personnel; an interactive acquisition module, which is used to transmit the data to the data processing terminal; a VR ... A module is used to collect interactive data of drill personnel; a physiological collection module is used to collect physiological data of drill personnel, and the data processing end includes: a data processing end data transmission module, which is used to receive physiological data and interactive data, and send tunnel disaster simulation data to the drill simulation and data collection end; a simulation evolution module, which stores preset tunnel disaster data and is used to generate dynamically changing tunnel disaster simulation data according to interactive data and tunnel disaster data; an evaluation module is used to analyze and obtain evaluation results of drill personnel according to physiological data, interactive data and tunnel disaster simulation data, and the evaluation results include abnormal states of drill personnel during the drill.

[0007] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the interactive acquisition module includes a positioning sensor and a motion sensor, the positioning sensor is used to collect the position data of the drill personnel in real time, the motion sensor is used to collect the motion data of the drill personnel in real time, and the interactive data includes position data and motion data.

[0008] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the abnormal state includes indecision, the physiological data includes brain wave change data and cerebral blood flow change data, and the evaluation module determines whether the drill personnel are indecisive through a preset first judgment standard, and the first judgment standard includes: the position corresponding to the position data has no change within a preset time period, and the action corresponding to the action data has no clear intention; the moving trajectory corresponding to the position data has frequent changes in direction or returns to a fixed position more than a preset number of times; the alpha wave in the brain wave change data decreases and the theta wave increases; the fluctuation of the blood oxygen level in the prefrontal lobe area in the cerebral blood flow change data exceeds the preset fluctuation range.

[0009] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the abnormal state includes strong emotional fluctuations, the physiological data includes brain wave change data and heart rate data, and the evaluation module determines whether the drill personnel have strong emotional fluctuations through a preset second judgment standard, and the second judgment standard includes: the amplitude of the gamma wave in the brain wave change data exceeds a% of the preset gamma wave frequency band standard value or the amplitude benchmark of the drill personnel's regular gamma wave; the gamma wave increases and the alpha wave decreases in the brain wave change data; the heart rate data center frequency increases by b% compared with the baseline value, and there is a significant change in the brain wave change data; the heart rate data shows an abnormal heartbeat state.

[0010] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the abnormal state includes physical limit, the physiological data includes muscle electrical activity data and heart rate data, and the evaluation module determines whether the drill personnel has reached the physical limit through a preset third judgment standard, and the third judgment standard includes: the amplitude of the electromyographic signal in the current muscle electrical activity data decreases by c% compared with the amplitude of the electromyographic signal in the initial muscle electrical activity data, and the duration exceeds the preset duration; the fatigue index in the muscle electrical activity data exceeds the preset fatigue threshold; the center frequency of the heart rate data increases by d% compared with the baseline value, and the muscle electrical activity data decreases; after the drill personnel take a short rest, the center frequency of the heart rate data decreases by less than e%, or the time for the heart rate to recover to the baseline value is greater than the preset recovery time.

[0011] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the simulation scene includes evacuation routes and danger zones, the evacuation routes are marked with colors and icons to guide the trainees to evacuate, and the danger zones are marked with warnings to remind the trainees to avoid them.

[0012] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein the data processing end also includes an optimization module, the optimization module is used to optimize the evacuation route according to the evaluation results, and generate auxiliary voice according to the abnormal state and the corresponding drill scene, the auxiliary voice is used to guide the actions of the drill personnel and reduce the probability of abnormal state.

[0013] The personnel behavior and decision-making simulation and analysis system under tunnel disasters provided by the present invention may also have the following features: wherein, the drill simulation and data acquisition terminal also includes an audio module, and the audio module is used to play auxiliary voice and auxiliary sound effects of the drill scene to the drill personnel.

[0014] Functions and Effects of the Invention

[0015] According to the personnel behavior and decision-making simulation and analysis system under tunnel disasters involved in the present invention, on the one hand, the drill personnel enter the tunnel disaster simulation scenario in the form of VR through the drill simulation and data acquisition terminal, collect the physiological data of the drill personnel, and provide scenario sound effect assistance and escape assistance through voice; on the other hand, the collected physiological data is processed by the data processing terminal to determine whether the drill personnel is in an abnormal state, and the drill personnel are provided with abnormal state relief assistance in time through the drill simulation and data acquisition terminal to improve the escape success rate of the drill personnel, and the escape data of the drill personnel is analyzed and summarized to generate evaluation results to further optimize the setting of escape assistance and simulation scenes. Therefore, the personnel behavior and decision-making simulation and analysis system under tunnel disasters of the present invention can obtain accurate simulation escape evaluation results of the drill personnel and improve the escape success rate of the drill personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a block diagram of an analysis system in an embodiment of the present invention;

[0017] Figure 2 is a block diagram of an exercise simulation and data acquisition terminal in an embodiment of the present invention;

[0018] Figure 3 It is a block diagram of a data processing terminal in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the following embodiments and accompanying drawings specifically illustrate the personnel behavior and decision-making simulation analysis system under tunnel disasters of the present invention.

[0020] This embodiment provides a personnel behavior and decision-making simulation analysis system under tunnel disasters, hereinafter referred to as the analysis system, which is used to obtain evaluation results of drill personnel in tunnel disaster scenarios.

[0021] Figure 1 is a block diagram of an analysis system in an embodiment of the present invention.

[0022] like Figure 1 As shown, the analysis system 100 includes a drill simulation and data acquisition terminal 10 and a data processing terminal 20. The drill simulation and data acquisition terminal 10 is worn by the drill personnel. The data processing terminal 20 is connected to the drill simulation and data acquisition terminal 10 for communication.

[0023] Figure 2 It is a block diagram of the exercise simulation and data acquisition terminal in an embodiment of the present invention.

[0024] like Figure 2As shown, the drill simulation and data acquisition terminal 10 includes a drill simulation and data acquisition terminal data transmission module 101, a VR module 102, an interactive acquisition module 103, a physiological acquisition module 104, an audio module 105, and a drill simulation and data acquisition side control module 106 for controlling the above modules.

[0025] The drill simulation and data collection terminal data transmission module 101 is used to receive tunnel disaster simulation data and send physiological data and interactive data to the data processing terminal 20 .

[0026] The VR module 102 is used to construct a simulation scene according to the tunnel disaster simulation data and display the simulation scene to the drill personnel.

[0027] The simulation scenarios include evacuation routes and dangerous areas. The evacuation routes are marked with color changes and icons to guide the participants to evacuate. Dangerous areas are marked with warning signs to remind the participants to avoid them.

[0028] The interaction collection module 103 is used to collect the interaction data of the drill personnel.

[0029] The interactive acquisition module 103 includes a positioning sensor and a motion sensor. The positioning sensor is used to collect the position data of the drill personnel in real time. The motion sensor is used to collect the motion data of the drill personnel in real time. The interactive data includes the position data and the motion data.

[0030] The physiological data collection module 104 is used to collect the physiological data of the drill personnel.

[0031] Among them, physiological data include brain wave change data, brain blood flow change data, heart rate data and muscle electrical activity data.

[0032] The audio module 105 is used to play auxiliary voice and auxiliary sound effects of the drill scene to the drill personnel.

[0033] The exercise simulation and data acquisition side control module 106 stores a control program for controlling the operation of each module.

[0034] Figure 3 It is a block diagram of a data processing terminal in an embodiment of the present invention.

[0035] like Figure 3 As shown, the data processing end 20 includes a data processing end data transmission module 201, a simulation evolution module 202, an evaluation module 203, an optimization module 204 and a data processing side control module 205 that controls the above modules.

[0036] The data processing end data transmission module 201 is used to receive physiological data and interactive data, and send tunnel disaster simulation data to the drill simulation and data collection end 10.

[0037] The simulation evolution module 202 stores preset tunnel disaster data and is used to generate dynamically changing tunnel disaster simulation data according to the interactive data and the tunnel disaster data.

[0038] The evaluation module 203 is used to analyze and obtain the evaluation results of the drill personnel according to the physiological data, the interaction data and the tunnel disaster simulation data.

[0039] The evaluation results include abnormal conditions of the drill participants during the drill, including indecision, strong emotional fluctuations, and physical limits.

[0040] The evaluation module 203 determines whether the exerciser is hesitant by using a preset first judgment standard, wherein the first judgment standard includes:

[0041] The position corresponding to the position data does not change within the preset time period, and the action corresponding to the action data has no clear intention; the movement trajectory corresponding to the position data frequently changes direction or returns to a fixed position more than the preset number of times; the alpha wave in the EEG change data decreases and the theta wave increases; the fluctuation of the blood oxygen level in the prefrontal lobe area in the brain blood flow change data exceeds the preset fluctuation range.

[0042] In this embodiment, the preset time period is 10 seconds. The action has no clear intention, that is, the practitioner moves aimlessly and other behaviors. The preset number of times is 3 times. The decrease in alpha waves in the brain wave change data is 8-13Hz, and the increase in theta waves is 4-7Hz.

[0043] The evaluation module 203 determines whether the exerciser has strong emotional fluctuations through a preset second judgment standard, and the second judgment standard includes:

[0044] The amplitude of the gamma wave in the brain wave change data exceeds the preset gamma wave frequency band standard value or the amplitude benchmark of the drill personnel's regular gamma wave by a%; the gamma waves in the brain wave change data increase and the alpha waves decrease; the heart rate data center frequency increases by b% compared with the baseline value, and there are obvious changes in the brain wave change data; the heart rate data shows an abnormal heartbeat state.

[0045] In this embodiment, a=50, b=20. When the amplitude of the gamma wave in the brain wave change data exceeds a% of the preset gamma wave frequency band standard value or the amplitude benchmark of the regular gamma wave of the drill personnel, it is preliminarily determined that there are strong emotional fluctuations. When the drill personnel are in a high-risk simulation scenario, and the gamma waves in the brain wave change data increase significantly, and the alpha waves decrease by 30% or more, it is determined that there are strong emotional fluctuations caused by fear. When the heart rate data center frequency increases by b% compared to the baseline value, and there are obvious changes in the brain wave change data, it is further confirmed that the drill personnel are in a strong emotional fluctuation. When emotions fluctuate, if the heart rate data shows an abnormal heartbeat state, the abnormal heartbeat state is used as an indicator of stronger emotional fluctuations.

[0046] Therefore, in this embodiment, the evaluation module 203 determines that the exerciser has strong emotional fluctuations if the change of gamma wave or alpha wave exceeds the preset range, and the heart rate rises sharply by 20% above the baseline or the heart rate is irregular.

[0047] The evaluation module 203 determines whether the exerciser has reached the physical limit through a preset third judgment standard, and the third judgment standard includes:

[0048] The amplitude of the electromyographic signal in the current muscle electrical activity data decreases by c% compared with the amplitude of the electromyographic signal in the initial muscle electrical activity data, and the duration exceeds the preset duration; the fatigue index in the muscle electrical activity data exceeds the preset fatigue threshold; the center frequency of the heart rate data increases by d% compared with the baseline value, and the muscle electrical activity data decreases; after a short rest, the heart rate data center frequency decreases by less than e%, or the time it takes for the heart rate to return to the baseline value is greater than the preset recovery time.

[0049] In this embodiment, c=40, the preset duration is 5 minutes, the preset fatigue threshold is a decrease rate greater than 10% / minute, d=30, e=10, and the preset recovery time is 3 minutes. When the amplitude of the electromyographic signal in the current muscle electrical activity data decreases by c% compared to the amplitude of the electromyographic signal in the initial muscle electrical activity data, and the duration exceeds the preset duration, it is preliminarily determined that the trainee may be close to the physical limit. When the fatigue index in the muscle electrical activity data exceeds the preset fatigue threshold, it is further confirmed that the physical exhaustion is severe. When the center frequency of the heart rate data increases by d% compared to the baseline value, and the muscle electrical activity data decreases, it is judged that the trainee is in a stage of high physical exhaustion and may be close to the physical limit. When the trainee takes a short rest, the decrease in the center frequency of the heart rate data is less than e%, or the time it takes for the heart rate to return to the baseline value is longer than the preset recovery time, it is further confirmed that the trainee is in a state of physical limit.

[0050] Therefore, in this embodiment, the evaluation module 203 determines that the exerciser whose muscle electrical activity data drops significantly and whose heart rate continues to rise, accompanied by a slow recovery of the heart rate, is at the physical limit.

[0051] The optimization module 204 is used to optimize the evacuation route according to the evaluation results, and generate auxiliary voice according to the abnormal state and the corresponding drill scene. The auxiliary voice is used to guide the actions of the drill personnel and reduce the probability of abnormal state.

[0052] In this embodiment, the optimization module 204 further optimizes the escape path and auxiliary voice provided in the next round of drills according to the abnormal state of the drill personnel in the previous round of drills.

[0053] Auxiliary voice is used to provide psychological counseling when it is detected that the drill personnel are in an abnormal state. For example, when the drill personnel are in fear, it can relax the drill personnel's emotions or provide encouragement.

[0054] The escape route is further optimized based on the drillers' escape route selection, pause points, complex route selection, etc. in the evaluation results. In addition, the escape route also takes into account the drillers' physical limit, and sets up corresponding safe short rest areas before the drillers reach their physical limit, so that the drillers' physical strength is at a reasonable level during the escape.

[0055] The optimization module 204 further adjusts the tunnel disaster data according to the degree of escape completion of the drill personnel in the evaluation results, that is, whether the escape is successfully completed in a short time, and generates a simpler or more complex tunnel disaster simulation scenario. Among them, the triggering mechanism of the emergency in the simulation scenario is adjusted according to the behavior of the drill personnel, so as to better train the drill personnel.

[0056] The data processing side control module 205 stores a control program for controlling the operation of each module.

[0057] Functions and Effects of the Embodiments

[0058] According to the personnel behavior and decision-making simulation and analysis system under tunnel disasters involved in this embodiment, on the one hand, the drill personnel are allowed to enter the tunnel disaster simulation scenario in the form of VR through the drill simulation and data acquisition terminal, and the physiological data of the drill personnel are collected, and the scenario sound effect assistance and escape assistance are provided through voice; on the other hand, the collected physiological data are processed by the data processing terminal to determine whether the drill personnel are in an abnormal state, and the abnormal state relief assistance is provided to the drill personnel in time through the drill simulation and data acquisition terminal to improve the escape success rate of the drill personnel, and the escape data of the drill personnel are analyzed and summarized to generate evaluation results to further optimize the escape assistance and simulation scene settings. In short, this method can obtain accurate simulation escape evaluation results for the drill personnel and improve the escape success rate of the drill personnel.

[0059] Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A personnel behavior and decision-making simulation analysis system under tunnel disasters, used to obtain the evaluation results of drill personnel under tunnel disaster scenarios, characterized in that: include: A drill simulation and data collection terminal, worn by the drill personnel; The data processing end is connected to the exercise simulation and data acquisition end in communication, Wherein, the drill simulation and data collection terminal includes: A drill simulation and data collection terminal data transmission module, used to receive tunnel disaster simulation data and send physiological data and interactive data to the data processing terminal; A VR module, used for constructing the simulation scene according to the tunnel disaster simulation data, and displaying the simulation scene to the drill personnel; An interaction collection module, used for collecting the interaction data of the drill personnel; A physiological data collection module is used to collect the physiological data of the exercise personnel. The data processing end includes: A data processing end data transmission module, used for receiving the physiological data and the interactive data, and sending the tunnel disaster simulation data to the drill simulation and data acquisition end; A simulation evolution module stores preset tunnel disaster data and is used to generate dynamically changing tunnel disaster simulation data according to the interactive data and the tunnel disaster data; An evaluation module is used to analyze and obtain the evaluation result of the drill personnel according to the physiological data, the interaction data and the tunnel disaster simulation data, The evaluation result includes the abnormal state of the exercise personnel during the exercise.

2. The personnel behavior and decision-making simulation analysis system under tunnel disasters according to claim 1 is characterized by: in, The interaction acquisition module includes a positioning sensor and a motion sensor. The positioning sensor is used to collect the position data of the drill personnel in real time. The motion sensor is used to collect the motion data of the drill personnel in real time. The interaction data includes the position data and the action data.

3. The personnel behavior and decision-making simulation and analysis system under tunnel disasters according to claim 2, Features: Wherein, the abnormal state includes indecision, The physiological data includes brain wave change data and brain blood flow change data, The evaluation module determines whether the exerciser is hesitant by using a preset first judgment standard. The first judgment criteria include: The position corresponding to the position data does not change within a preset time period, and the action corresponding to the action data has no clear intention; The movement trajectory corresponding to the position data frequently changes direction or returns to a fixed position more than a preset number of times; In the brain wave change data, alpha waves decrease and theta waves increase; The fluctuation of the blood oxygen level in the frontal lobe area in the brain blood flow change data exceeds a preset fluctuation range.

4. The personnel behavior and decision-making simulation analysis system under tunnel disasters according to claim 1 is characterized by: in, The abnormal state includes strong emotional fluctuations, The physiological data includes brain wave change data and heart rate data, The evaluation module determines whether the exerciser has strong emotional fluctuations through a preset second judgment standard. The second judgment criteria include: The amplitude of the gamma wave in the brain wave change data exceeds a% of the preset gamma wave frequency band standard value or the amplitude benchmark of the normal gamma wave of the exerciser; In the brain wave change data, gamma waves increase and alpha waves decrease; The heart rate data center frequency increased by b% compared with the baseline value, and the brain wave change data showed obvious changes; The heart rate data shows an abnormal heartbeat state.

5. The personnel behavior and decision-making simulation and analysis system under tunnel disasters according to claim 1, Features: Wherein, the abnormal state includes physical strength limit, The physiological data includes muscle electrical activity data and heart rate data, The evaluation module determines whether the exerciser has reached the physical limit by using a preset third judgment standard. The third judgment criterion includes: The amplitude of the electromyographic signal in the current muscle electrical activity data decreases by c% compared with the amplitude of the electromyographic signal in the initial muscle electrical activity data, and the duration exceeds the preset duration; The fatigue index in the muscle electrical activity data exceeds a preset fatigue threshold; The heart rate data center frequency increases by d% compared with the baseline value, and the muscle electrical activity data decreases; After the trainee takes a short break, the heart rate data frequency decreases by less than e%, or the time it takes for the heart rate to return to the baseline value is greater than the preset recovery time.

6. The personnel behavior and decision-making simulation analysis system under tunnel disasters according to claim 1 is characterized by: in, The simulation scenario includes evacuation routes and danger zones. The evacuation route guides the drill personnel to evacuate through color changes and icon identification. The dangerous area is marked with warning signs to remind the drill personnel to avoid it.

7. The personnel behavior and decision-making simulation analysis system under tunnel disasters according to claim 1 is characterized by: in, The data processing end also includes an optimization module, The optimization module is used to optimize the evacuation route according to the evaluation result, and generate auxiliary voice according to the abnormal state and the corresponding drill scene, The auxiliary voice is used to guide the actions of the drill personnel and reduce the probability of the abnormal state occurring.

8. The personnel behavior and decision-making simulation and analysis system under tunnel disasters according to claim 7 is characterized by: in, The drill simulation and data acquisition terminal also includes an audio module, The audio module is used to play the auxiliary voice and the auxiliary sound effects of the drill scene to the drill personnel.

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