Simulation and Analysis System for Human Behavior and Decision-Making under Tunnel Disasters

Abstract

The application provides a tunnel disaster personnel behavior and decision simulation analysis system, which has the following characteristics: the simulation and data acquisition end includes a simulation and data acquisition end data transmission module; a VR module for displaying a simulation scene to the simulation personnel; an interactive data acquisition module for acquiring interactive data of the simulation personnel; a physiological data acquisition module for acquiring physiological data of the simulation personnel; the data processing end includes a data processing end data transmission module for receiving the physiological data and the interactive data and sending tunnel disaster simulation data to the simulation and data acquisition end; a simulation evolution module for generating dynamically changing tunnel disaster simulation data according to the interactive data and the tunnel disaster data; and an evaluation module for analyzing the evaluation results of the simulation personnel according to the physiological data, the interactive data and the tunnel disaster simulation data. In summary, the method can obtain accurate simulation escape evaluation results of the simulation personnel and improve the escape success rate of the simulation personnel.

Description

Technical Field

[0001] This invention relates to an analysis system, specifically to a simulation analysis system for human behavior and decision-making under tunnel disasters. Background Technology

[0002] With the continuous expansion of my country's transportation network, tunnel engineering has experienced unprecedented development. However, the challenges of disaster prevention and rescue in tunnels are also becoming increasingly severe. The dark, enclosed, and long-spaced environment inside tunnels greatly increases the difficulty of personnel evacuation and rescue. Once disasters such as fires, floods, or collapses occur, they often lead to serious casualties.

[0003] In the event of a tunnel disaster, in addition to the inherent danger of the disaster itself, the evacuation behavior and escape decisions of trapped personnel directly affect their safety. Therefore, conducting evacuation drills for tunnel disaster scenarios is crucial. This not only identifies weaknesses in the evacuation process but also provides optimization suggestions to help improve people's response capabilities.

[0004] However, existing evacuation drills are usually based on emergency drills that simulate real-life scenarios. This approach suffers from numerous problems, including insufficient realism, high costs, high destructive potential, and difficulty in control. Furthermore, traditional drills struggle to monitor and provide real-time feedback on participants' behavioral trajectories, movement speeds, and changes in their physiological and psychological states, resulting in poor drill effectiveness and hindering the provision of a scientific basis for subsequent analysis and strategy optimization. Summary of the Invention

[0005] This invention is made to solve the above-mentioned problems, and its purpose is to provide a simulation and analysis system for human behavior and decision-making under tunnel disasters.

[0006] This invention provides a simulation and analysis system for personnel behavior and decision-making under tunnel disaster scenarios, used to obtain the evaluation results of trainees in tunnel disaster scenarios. It features the following characteristics: a simulation and data acquisition terminal, worn by trainees; and a data processing terminal, communicatively connected to the simulation and data acquisition terminal. The simulation and data acquisition terminal includes: a data transmission module for receiving tunnel disaster simulation data and sending physiological and interactive data to the data processing terminal; a VR module for constructing a simulation scenario based on the tunnel disaster simulation data and displaying the simulation scenario to trainees; and interactive data acquisition... The system comprises a module for collecting interactive data from trainees; a physiological data collection module for collecting physiological data from trainees; and a data processing module for receiving physiological and interactive data and sending tunnel disaster simulation data to the simulation and data collection end. A simulation evolution module stores preset tunnel disaster data and generates dynamically changing tunnel disaster simulation data based on the interactive and tunnel disaster data. An evaluation module analyzes the physiological, interactive, and tunnel disaster simulation data to obtain evaluation results for the trainees, including any abnormal states observed during the exercise.

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

[0008] The personnel behavior and decision-making simulation analysis system under tunnel disasters provided by this invention may also have the following features: abnormal states include indecisiveness, physiological data include EEG change data and cerebral blood flow change data, and the evaluation module determines whether the trainees are indecisive through a preset first judgment criterion. The first judgment criterion includes: the location corresponding to the location 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 location data has frequent changes in direction or returns to a fixed position more than a preset number of times; the alpha waves decrease and the theta waves increase in the EEG change data; and the fluctuation of blood oxygen level in the prefrontal cortex region in the cerebral blood flow change data exceeds a preset fluctuation range.

[0009] The personnel behavior and decision-making simulation analysis system under tunnel disasters provided by this invention may also have the following features: abnormal states include strong emotional fluctuations, physiological data include EEG change data and heart rate data, and the assessment module determines whether the trainees have strong emotional fluctuations through a preset second judgment criterion. The second judgment criterion includes: the amplitude of γ waves in the EEG change data exceeds the preset standard value of the γ wave frequency band or the baseline amplitude of the trainees' normal γ waves by a%; γ waves increase and α waves decrease in the EEG change data; the heart rate data center rate increases by b% compared to the baseline value, and there is a significant change in the EEG change data; the heart rate data shows an abnormal heartbeat state.

[0010] The personnel behavior and decision-making simulation analysis system under tunnel disasters provided by this invention may also have the following features: abnormal states include physical limits, physiological data include electromyographic activity data and heart rate data, and the evaluation module determines whether the trainees have reached their physical limits through a preset third judgment criterion. The third judgment criterion includes: the amplitude of the electromyographic signal in the current electromyographic activity data decreases by c% compared to the amplitude of the electromyographic signal in the initial electromyographic activity data, and the duration exceeds the preset duration; the fatigue index in the electromyographic activity data exceeds the preset fatigue threshold; the heart rate data center rate increases by d% compared to the baseline value, and the electromyographic activity data decreases; after a short rest, the decrease in the heart rate data center rate is 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 simulation and analysis system for personnel behavior and decision-making under tunnel disasters provided by this invention may also have the following features: the simulation scenario includes evacuation routes and danger zones. The evacuation routes are guided to evacuate by color changes and icon markings, and the danger zones are marked by warning signs to remind the trainees to take shelter.

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

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

[0014] The role and effect of invention

[0015] According to the personnel behavior and decision-making simulation analysis system under tunnel disasters of the present invention, on the one hand, the simulation and data acquisition terminal allows trainees to enter a simulated tunnel disaster scenario in VR form, collecting their physiological data and providing scenario sound effects and escape assistance through voice. On the other hand, the data processing terminal processes the collected physiological data to determine whether the trainees are in an abnormal state, and promptly provides assistance to alleviate abnormal states through the simulation and data acquisition terminal, improving the trainees' escape success rate. Furthermore, the escape data of the trainees is analyzed and summarized to generate evaluation results for further optimization of escape assistance and simulation scenario settings. Therefore, the personnel behavior and decision-making simulation analysis system under tunnel disasters of the present invention can obtain accurate simulated escape evaluation results for trainees and improve their escape success rate. Attached Figure Description

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

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

[0018] Figure 3 This is a block diagram of the data processing terminal in an embodiment of the present invention. Detailed Implementation

[0019] To make the technical means, creative features, objectives and effects of this invention easy to understand, the following embodiments, in conjunction with the accompanying drawings, provide a detailed description of the personnel behavior and decision-making simulation analysis system under tunnel disasters of this invention.

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

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

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

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

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

[0025] The simulation and data acquisition 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] VR module 102 is used to construct a simulation scenario based on tunnel disaster simulation data and display the simulation scenario to the drill participants.

[0027] The simulated scenario includes evacuation routes and danger zones. Evacuation routes are guided by color changes and icons. Danger zones are indicated by warning signs to alert participants to take cover.

[0028] The interactive data acquisition module 103 is used to collect interactive data from the participants.

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

[0030] The physiological data acquisition module 104 is used to collect physiological data from the participants.

[0031] The physiological data includes brainwave changes, cerebral blood flow changes, 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 exercise scenario to the trainees.

[0033] The simulation and data acquisition control module 106 stores the control program that controls the operation of each module.

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

[0035] like Figure 3 As shown, the data processing terminal 20 includes a data processing terminal 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 terminal data transmission module 201 is used to receive physiological data and interactive data, and send tunnel disaster simulation data to the exercise simulation and data acquisition terminal 10.

[0037] The simulation evolution module 202 stores preset tunnel disaster data, which is used to generate dynamically changing tunnel disaster simulation data based on interactive data and tunnel disaster data.

[0038] The assessment module 203 is used to analyze and obtain the assessment results of the trainees based on physiological data, interaction data and tunnel disaster simulation data.

[0039] The assessment results included any abnormal states experienced by the participants during the exercise. These abnormal states included indecisiveness, intense emotional fluctuations, and physical exhaustion.

[0040] The assessment module 203 uses a preset first judgment criterion to determine whether the trainees are hesitant or indecisive. The first judgment criterion includes:

[0041] The location data shows no change in location within a preset time period, and the action data shows no clear intention in the action; the movement trajectory corresponding to the location data shows frequent changes in direction or returns to a fixed location more than the preset number of times; the EEG data shows a decrease in alpha waves and an increase in theta waves; the cerebral blood flow data shows fluctuations in blood oxygen levels in the prefrontal cortex region exceeding the preset fluctuation range.

[0042] In this embodiment, the preset time period is 10 seconds, the action is without clear intention, that is, the trainee moves aimlessly, and the preset number of times is 3. In the EEG change data, the decrease of alpha waves is 8-13Hz and the increase of theta waves is 4-7Hz.

[0043] Assessment module 203 uses a preset second judgment criterion to determine whether the participants experience strong emotional fluctuations. The second judgment criterion includes:

[0044] The amplitude of gamma waves in the EEG data exceeds the preset standard value of gamma wave frequency band or the baseline amplitude of gamma waves of the trainees by a%; gamma waves increase and alpha waves decrease in the EEG data; the heart rate data center rate increases by b% compared with the baseline value, and there are significant changes in the EEG data; the heart rate data shows an abnormal heartbeat state.

[0045] In this embodiment, a = 50 and b = 20. When the amplitude of gamma waves in the EEG data exceeds the preset standard value for the gamma wave frequency band or a% of the baseline amplitude of the trainee's normal gamma waves, it is initially determined that there is a strong emotional fluctuation. When the trainee is in a high-risk simulated scenario, and the gamma waves in the EEG data increase significantly while the alpha waves decrease by 30% or more, it is determined that there is a strong emotional fluctuation caused by fear. When the heart rate data center rate increases by b% compared to the baseline value, and there is a significant change in the EEG data, it is further confirmed that the trainee is experiencing a strong emotional fluctuation. When emotional fluctuations occur, if the heart rate data shows an abnormal heartbeat state, this abnormal heartbeat state is used as an indicator of a more intense emotional fluctuation.

[0046] Therefore, in this embodiment, the evaluation module 203 determines that trainees whose γ-wave or α-wave changes exceed the preset range, and whose heart rate rises sharply by more than 20% above the baseline or whose heart rate is irregular, are experiencing strong emotional fluctuations.

[0047] Assessment module 203 uses a preset third criterion to determine whether the trainees have reached their physical limits. The third criterion includes:

[0048] The current electromyographic activity data shows that the amplitude of the electromyographic signal decreases by c% compared to the initial electromyographic activity data, and the duration exceeds the preset duration; the fatigue index in the electromyographic activity data exceeds the preset fatigue threshold; the heart rate data center rate increases by d% compared to the baseline value, and the electromyographic activity data decreases; after a short rest, the heart rate data center rate decreases by less than e%, or the time it takes for the heart rate to recover 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 electromyographic activity data decreases by c% compared to the initial electromyographic activity data, and the duration exceeds the preset duration, it is initially determined that the trainee may be approaching their physical limit. When the fatigue index in the electromyographic activity data exceeds the preset fatigue threshold, it is further confirmed that the physical exertion is severe. When the heart rate data center rate increases by d% compared to the baseline value, and the electromyographic activity data decreases, it is determined that the trainee is in a high physical exertion stage and may have approached their physical limit. When the heart rate data center rate decreases by less than e% after a short rest, or the time it takes for the heart rate to recover to the baseline value is greater 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 trainees whose muscle electrical activity data significantly decreases and whose heart rate continues to rise, accompanied by slow heart rate recovery, are at their physical limit.

[0051] The optimization module 204 is used to optimize evacuation routes based on the evaluation results and generate auxiliary voice based on abnormal states and corresponding drill scenarios. The auxiliary voice is used to guide the actions of drill participants and reduce the probability of abnormal states occurring.

[0052] In this embodiment, the optimization module 204 further optimizes the escape routes and auxiliary voice prompts provided in the next round of drills based on the abnormal state of the drill participants in the previous round of drills.

[0053] Auxiliary voice is used to provide psychological support when an abnormal state is detected in trainees, such as relaxing trainees or providing encouragement when they are fearful.

[0054] The escape routes were further optimized based on the assessment results, including the participants' choice of escape routes, stopping points, and selection of complex routes. Furthermore, the escape routes also considered the participants' physical limits, providing safe, short-term rest areas before they reached their physical limits, ensuring that participants maintained a reasonable level of physical exertion during the escape.

[0055] The optimization module 204 further adjusts the tunnel disaster data based on the assessment results regarding the completeness of the escape by the trainees, i.e., whether they successfully escaped within a short period of time, generating simpler or more complex tunnel disaster simulation scenarios. Specifically, it adjusts the triggering mechanism of emergencies in the simulation scenarios based on the trainees' behavior, thereby better training them.

[0056] The data processing side control module 205 stores the control program that controls the operation of each module.

[0057] The role and effect of the embodiments

[0058] According to the personnel behavior and decision-making simulation analysis system under tunnel disasters involved in this embodiment, on the one hand, the simulation and data acquisition terminal allows trainees to enter a simulated tunnel disaster scenario in VR form, collecting their physiological data and providing scenario sound effects and escape assistance through voice. On the other hand, the data processing terminal processes the collected physiological data to determine whether the trainees are in an abnormal state, and provides timely assistance to alleviate abnormal states through the simulation and data acquisition terminal, improving the trainees' escape success rate. The escape data of the trainees is analyzed and summarized to generate evaluation results for further optimization of escape assistance and simulation scenario settings. In summary, this method can obtain accurate simulated escape evaluation results for trainees and improve their escape success rate.

[0059] Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to this invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A tunnel disaster personnel behavior and decision simulation analysis system for obtaining evaluation results of drill personnel in a tunnel disaster scene, characterized in that, The system comprises: a simulation and data collection terminal worn by the drillers; a data processing terminal in communication with the simulation and data collection terminal, wherein the simulation and data collection terminal comprises: a simulation and data collection terminal data transmission module for receiving tunnel disaster simulation data and sending physiological data and interaction data to the data processing terminal; a VR module for constructing a simulation scene according to the tunnel disaster simulation data and displaying the simulation scene to the drillers; an interaction collection module for collecting the interaction data of the drillers; a physiological collection module for collecting the physiological data of the drillers, the data processing terminal comprises: a data processing terminal data transmission module for receiving the physiological data and the interaction data and sending the tunnel disaster simulation data to the simulation and data collection terminal; a simulation evolution module storing preset tunnel disaster data for generating dynamically changing tunnel disaster simulation data according to the interaction data and the tunnel disaster data; an evaluation module for analyzing the evaluation results of the drillers according to the physiological data, the interaction data and the tunnel disaster simulation data, the evaluation results include abnormal states of the drillers during the drill, the abnormal states include hesitation, emotional fluctuation and physical limit; in the abnormal state of hesitation, the physiological data includes brain wave change data and brain blood flow change data, the evaluation module determines whether the drillers have hesitation through a preset first judgment standard, the first judgment standard includes: the position corresponding to the position data of the drillers has no change within a preset time period, and the action corresponding to the action data of the drillers has no clear intention; the moving track corresponding to the position data frequently changes direction or returns to a fixed position more than a preset number of times; the alpha wave decreases and the theta wave increases in the brain wave change data; the fluctuation of the blood oxygen level in the frontal lobe region in the brain blood flow change data exceeds a preset fluctuation range; wherein the data processing terminal further comprises 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 action of the drillers and reduce the probability of occurrence of the abnormal state.

2. The personnel behavior and decision simulation analysis system under tunnel disaster according to claim 1, wherein: wherein, the interaction collection module comprises a positioning sensor and an action sensor, the positioning sensor is used to collect the position data of the drillers in real time, the action sensor is used to collect the action data of the drillers in real time, the interaction data includes the position data and the action data.

3. The personnel behavior and decision simulation analysis system under tunnel disaster according to claim 1, wherein: wherein, the abnormal state includes emotional fluctuation, the physiological data includes brain wave change data and heart rate data, The evaluation module judges whether the emotional fluctuations of the drill personnel are strong or not through a preset second judgment standard, The second judgment standard includes: The amplitude of the gamma wave in the brain wave change data exceeds the preset gamma wave frequency band standard value or the amplitude reference of the regular gamma wave of the drill personnel by a%; The gamma wave increases and the alpha wave decreases in the brain wave change data; The heart rate data shows that the heart rate 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.

4. The tunnel disaster personnel behavior and decision making simulation analysis system of claim 1, Its characteristics are: The abnormal state includes physical limit, The physiological data includes muscle electrical activity data and heart rate data, The evaluation module judges whether the drill personnel reaches the physical limit through a preset third judgment standard, 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 heart rate in the heart rate data increases by d% compared with the baseline value, and the muscle electrical activity data decreases; After the drill personnel takes a short break, the heart rate decreases by less than e%, or the heart rate returns to the baseline value for more than the preset recovery duration.

5. The tunnel disaster personnel behavior and decision-making simulation analysis system of claim 1, characterized in that: wherein The simulation scene includes evacuation routes and danger zones, The evacuation routes guide the drill personnel to evacuate through color changes and icon identification, The danger zones remind the drill personnel to avoid through warning signs.

6. The tunnel disaster personnel behavior and decision-making simulation analysis system of claim 1, characterized in that: wherein, The drill simulation and data collection end further 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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