Utility test and evaluation method for subway emergency evacuation identification system

Abstract

The invention relates to a subway emergency evacuation identification system utility test and evaluation method, in particular to a simulation experiment evaluation method based on BIM (Building Information Model), Unity (game engine) and VR (Virtual Reality) technologies. According to the method, firstly, a subway emergency evacuation identification system experiment test platform integrating BIM, Unity and VR technologies is constructed; the platform can simulate the performance of the subway emergency evacuation identification system in a fire emergency event, and assesses different emergency evacuation identification systems. Further, according to the method, volunteers are recruited for experimental testing, and evacuation behavior parameters and visual gazing parameters of passengers are collected and analyzed. Finally, an all-dimensional and multi-dimensional index system is constructed, and the effectiveness of the emergency evacuation identification system is comprehensively evaluated by adopting a coupling coordination degree model, so that the safety, reliability and high efficiency of the emergency evacuation identification system in an emergency are ensured.

Description

Technical Field

[0001] The invention relates to the field of emergency evacuation safety, and in particular to a method for testing and evaluating the effectiveness of a subway emergency evacuation sign system. Background Art

[0002] With the continuous increase of urban population and the continuous expansion of urban scale, urban rail transit has become a very efficient means of transportation, playing an important role in alleviating traffic congestion, alleviating vehicle pollution, enhancing urban mobility and promoting urban development. As an important part of the subway transportation system, subway stations have the characteristics of complex structure, complex personnel composition, dense crowds, limited ventilation and lighting, which makes the safe evacuation of personnel in the event of an emergency particularly important. Emergency evacuation sign systems play an important role in the safety construction of urban rail transit. In emergency situations such as fires and power outages, these systems are designed to facilitate evacuation by conveying directional clues to escape routes and emergency exits. However, the current emergency evacuation signs fail to achieve the desired purpose in real emergencies, and upgraded and optimized emergency evacuation signs emerge in an endless stream. However, how to test and evaluate the optimized emergency evacuation signs has not been well solved.

[0003] In the prior art, some emergency evacuation sign system methods and devices are disclosed, which are mainly summarized as follows:

[0004] 1. A dynamic emergency evacuation path planning and visual guidance method and system with application number 202411071513.1. This technology abstracts the floor plan of the building into a graph G in graph theory, which includes a vertex set V and an edge set E, and assigns an initial weight to each edge in the graph. The system can collect environmental data in real time and judge whether a fire has occurred based on it. Once a fire is detected, the system will immediately trigger an alarm and adjust the weight of the edge according to the latest environmental data. Subsequently, the system uses the A-Star algorithm to calculate the optimal evacuation route based on the updated weights. Finally, the system will provide visual guidance based on this optimal path to help people in the building evacuate quickly and safely. This invention can monitor the fire situation in real time, dynamically plan a safe evacuation path, and use visual guidance to ensure that people evacuate quickly in an emergency and protect their lives. The focus of this invention is to propose a dynamic emergency evacuation sign system, and the effectiveness of the system has not been tested.

[0005] 2. Station emergency evacuation method and device for urban rail transit with application number 202111410466.5. This method generates an initial path set by constructing a directed network graph based on station infrastructure and sign guidance system, and determines the emergency evacuation path from it. These paths start from the set virtual starting point, pass through key nodes, and finally reach the virtual end point. Through the sign guidance system, these emergency paths can be prompted to passengers to ensure that passengers can be evacuated quickly and effectively in an emergency, thereby improving evacuation efficiency.

[0006] 3. A stadium emergency evacuation sign readability evaluation system and its control method based on fuzzy theory, with application number 202110172275.3. The system establishes an evaluation index system, collects virtual reality experimental data, constructs a fuzzy evaluation matrix, determines the weight vector by the hierarchical analysis method, and analyzes the data by the coefficient of variation method, and finally achieves a comprehensive evaluation of the readability of the sign. This invention improves the accuracy of the readability assessment of evacuation signs and provides a scientific basis for design quality assessment and spatial layout optimization. However, the invention focuses on the evaluation of emergency evacuation signs, and has not formed a complete universal testing method. In addition, the evaluation method mentioned in the invention does not take into account the interaction between different dimensions of the indicator system.

[0007] In summary, existing research mainly focuses on the optimization design of emergency guidance sign systems, and there are few studies on the testing and evaluation methods of their effectiveness. In addition, previous studies mainly evaluate the effectiveness of sign systems through questionnaires, macro simulations, and on-site evacuation experiments. These methods result in limited immersive environments and data collection, and relatively single evaluation indicators and dimensions. Therefore, there is an urgent need for the study of testing and evaluation methods for the effectiveness of emergency guidance sign systems based on virtual reality simulation experiments. Summary of the invention

[0008] In view of the above problems existing in the prior art, the present invention provides a method for testing and evaluating the effectiveness of a subway emergency evacuation sign system.

[0009] The invention discloses a subway emergency evacuation sign system effectiveness testing and evaluation method, comprising:

[0010] a. Build a simulation experimental platform for evaluating subway emergency evacuation sign systems, which integrates building information modeling (BIM), Unity game engine and virtual reality technology.

[0011] b. Using the simulation experiment platform, develop a simulated fire emergency event and emergency evacuation sign system. The simulation includes but is not limited to smoke diffusion simulation.

[0012] c. Recruit volunteers to conduct experimental tests, and collect passengers' evacuation behavior parameters and visual gaze parameters through experiments, including but not limited to evacuation speed, evacuation time, evacuation distance and gaze time.

[0013] d. Based on safety, reliability and efficiency, a comprehensive and multi-dimensional evaluation index system is constructed, and a coupling coordination model is used to comprehensively evaluate the effectiveness of various emergency evacuation sign systems in fire emergency scenarios to determine the optimal configuration of the emergency guide sign system.

[0014] As a further improvement of the present invention, the construction of a virtual simulation experiment test platform includes:

[0015] The virtual simulation experiment test platform is composed of building information model (BIM), Unity 3D, virtual reality (VR) technology and integrated sensors and data acquisition systems.

[0016] By obtaining the specific architectural parameters of a subway station, the BIM software Autodesk Revit was used to generate an accurate structural model and various internal features such as columns, stairs, platforms and other structural components.

[0017] Unity 3D is used to render the on-site environment and integrate virtual characters.

[0018] Through virtual reality (VR) technology, an immersive experience of the internal environment of the subway station is achieved, including simulated visual, auditory and tactile feedback of passengers.

[0019] Integrated sensors and data acquisition systems are used to monitor and record environmental parameters and volunteer behavior data during the experiment in real time.

[0020] As a further improvement of the present invention, the emergency event and emergency evacuation identification system is developed based on the constructed virtual simulation experiment test platform; including:

[0021] Using the constructed simulation experimental platform, we first completed the development of the fire emergency event scenario, including the selection of flames and the simulation of smoke.

[0022] On this basis, various emergency evacuation sign systems are developed within the scene, including static sign systems, dynamic sign systems, wall-type and ground-type, etc., to ensure the reproduction of various forms of emergency evacuation sign systems.

[0023] As a further improvement of the present invention, the experimental test is carried out and the experimental data is collected according to the constructed virtual simulation experimental test platform and scenario; including:

[0024] Volunteers who meet the following three criteria were recruited: 1) normal hearing and vision function; 2) insensitive to 3D-induced dizziness; 3) proficient in operating VR controllers. The number of volunteers recruited must meet the minimum sample size requirement of 25 people.

[0025] During the experiment, the volunteers' evacuation behavior data and eye movement data were obtained, including but not limited to evacuation speed, evacuation time, evacuation distance and gaze time.

[0026] As a further improvement of the present invention, the experimental test and data collection, and the comprehensive evaluation of the emergency guidance sign system, include:

[0027] From the perspectives of safety, reliability and efficiency, a multi-dimensional and comprehensive evaluation index system is constructed. Safety includes the number of stops, number of errors and evacuation distance indicators, reliability includes the gaze time, number of gazes and number of direction identification indicators, and efficiency includes the dwell time, evacuation time and evacuation speed indicators.

[0028] Considering the interactive relationship between safety, reliability and efficiency in the evaluation index system of emergency evacuation signs, which conforms to the inherent law of the coupling coordination model, the coupling coordination model is used to quantitatively evaluate the comprehensive benefits and overall coupling coordination of safety, stability and reliability of various emergency evacuation sign systems under different emergencies.

[0029] Based on the evaluation results, the design of the emergency evacuation sign system is optimized to improve its effectiveness and performance in practical applications.

[0030] Advantages of the present invention:

[0031] 1. Technology integration and innovation: This invention builds a highly simulated subway emergency evacuation sign system test platform by integrating building information modeling (BIM), Unity game engine and virtual reality (VR) technology. This cross-domain technology integration not only improves the authenticity and accuracy of the experiment, but also provides an innovative solution for the design and evaluation of subway emergency evacuation sign systems.

[0032] 2. Comprehensive simulation capability: The present invention can simulate emergency events such as fire and emergency evacuation sign systems, including complex scenarios such as smoke diffusion, emergency lighting and sound prompts. This comprehensive simulation capability makes the evaluation results closer to the actual situation and improves the effectiveness of the evaluation.

[0033] 3. Data-driven evaluation system: By recruiting volunteers for experimental testing, the present invention can collect passengers' evacuation behavior parameters, such as evacuation speed, time and distance, as well as visual gaze data. These data provide a solid foundation for building a multi-dimensional and comprehensive evaluation index system, making the evaluation results more scientific and objective.

[0034] 4. Real-time monitoring and data acquisition: The integrated sensors and data acquisition system can monitor and record the environmental parameters and behavioral data of volunteers during the experiment in real time, ensuring the real-time and accuracy of the data, and providing high-quality data support for subsequent analysis and evaluation.

[0035] 5. Comprehensive benefit evaluation: The present invention adopts a coupling coordination model to quantitatively evaluate the comprehensive benefits and overall coupling coordination of various emergency evacuation sign systems in terms of safety, stability and reliability under different emergencies. This evaluation method helps to optimize the design of emergency evacuation sign systems and improve their effectiveness and performance in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A flowchart of a method for testing and evaluating the effectiveness of a subway emergency evacuation sign system according to the present invention;

[0037] Figure 2 Schematic diagram of the simulation experiment platform built for the present invention;

[0038] Figure 3 A schematic diagram of a simulated fire emergency event developed based on the platform of the present invention;

[0039] Figure 4 This is a schematic diagram of the emergency evacuation sign developed based on the platform of the present invention;

[0040] Figure 5 Schematic diagram of the experimental test and data collection process constructed for the present invention.

[0041] Figure 6 Schematic diagram of the multi-dimensional indicator system constructed for the present invention.

[0042] Figure 7 This is a schematic diagram of the coupling relationship of the indicator system constructed in the present invention.

[0043] Figure 8 A schematic diagram of the utility evaluation of the subway emergency evacuation sign system constructed by the present invention.

[0044] The above drawings and descriptions can clearly show the method details and processes of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and in combination with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] 1. Build a virtual simulation experiment test platform

[0047] See also Figure 2 The virtual simulation experiment test platform constructed by the present invention is composed of building information model (BIM), Unity3D, virtual reality (VR) technology and integrated sensors and data acquisition systems.

[0048] Step 1: Obtain the specific architectural parameters of the target subway station, mainly obtaining the drawings of the main building in the subway station, the size, quantity, and placement interval of the facilities and equipment in the subway station, so as to restore the main building of the target subway station and the corresponding facilities and equipment with high precision.

[0049] Step 2: Use BIM software Autodesk Revit to generate accurate structural models and various internal features, such as columns, stairs, platforms and other structural components, to highly restore the internal building structure, equipment facilities and various signs of the subway station.

[0050] Step 3: The 3D model of the subway station constructed in Revit was saved in .FBX format and imported into Unity to achieve a highly realistic reproduction of the fire scene in Unity's virtual space. Furthermore, Unity 3D was used to achieve the rendering of the on-site environment and the integration of virtual characters.

[0051] Step 4: Realize the interconnection between Unity 3D and VR scenes, reproduce the real scene, and realize the immersive experience of the internal environment of the subway station, including simulating the visual, auditory and tactile feedback of passengers. The virtual reality device uses the Meta Quest pro head-mounted virtual reality device, which can provide high-resolution sensors for full-color mixed reality experience, high-definition LCD display, and eye tracking and facial tracking functions.

[0052] Step 5: Unity and VR devices collect volunteers’ evacuation behavior and eye movement data respectively.

[0053] 2. Develop emergency incident and emergency evacuation signage systems

[0054] See also Figure 3 and Figure 4 The present invention develops an emergency event and emergency evacuation identification system based on the constructed virtual simulation experiment test platform.

[0055] Step 1: In Unity, import the Revit model and retain its detailed structure, including the architectural layout, passages, stairs, etc. of the subway station.

[0056] Step 2: To achieve the realism of the fire scene, special effects elements such as real flames and realistic smoke were added. Through Unity's particle system, realistic flame effects can be created to simulate the high temperature and burning of the fire source. These flame effects can be adjusted according to the extent and location of the fire to more accurately simulate the real scene. Through Unity's particle system, the effect of smoke filling the subway station can be simulated to make the whole scene more realistic. This not only takes into account the distribution of smoke around the fire source, but can also be adjusted according to the structure and air flow of the scene to improve the realism of the simulation.

[0057] Step 3: Add models of other evacuees and use Unity’s animation system to achieve realistic movement, simulating the scenario of rapid evacuation of people in a fire.

[0058] Step 4: Render and implement the emergency evacuation sign system inside the scene, including static sign system, dynamic sign system, wall type and ground type, etc. Ensure that various forms of emergency evacuation sign systems can be simulated.

[0059] 3. Experimental testing and experimental data collection

[0060] See also Figure 5 The present invention conducts experimental tests and collects experimental data based on the constructed virtual simulation experimental test platform and scenarios.

[0061] Step 1: Recruit volunteers who meet the following three criteria: 1) normal hearing and vision function; 2) insensitive to 3D-induced dizziness; 3) proficient in operating VR controllers. The number of volunteers recruited must meet the minimum sample size requirement of 25 people.

[0062] Step 2: During the experiment, collect the evacuation behavior and eye movement data of the volunteers. Unity can collect the evacuation trajectory data of the experimenter. The trajectory data information consists of the three spatial coordinates of X, Y, and Z where the object is located in the Unity 3D engine. For example, (0,0,0) means that the center point of the current object is located at (0,0,0) in the current model space. VR can collect joystick operation data, turn data, and eye movement data. Real-time joystick operation data includes two sets of data, namely Horizontalinput and Verticalinput. Among them, Horizontalinput describes the force and direction of the subject pushing the joystick in the horizontal direction. A value greater than 0 represents "pushing to the left" and less than 0 represents "pushing to the right". Verticalinput describes the force and direction of the subject pushing the joystick in the vertical direction. A value greater than 0 represents "pushing up" and less than 0 represents "pushing down". The vector sum of Horizontalinput and Verticalinput represents the specific direction of the current subject's joystick push. Turn data is the real-time perspective, which is the direction the subject is currently looking at. It consists of Rotationx, Rotationy, and Rotationz, and the value range is 0° to 360°. Eye movement data is captured by the built-in camera of the VR device, and the device can accurately capture their gaze on the sign system.

[0063] 4. Construction of indicator system

[0064] See also Figure 6 ,The present invention constructs a multi-dimensional indicator system based on the ,collected experimental data.

[0065] Step 1: The construction of the index system considers the two aspects of behavior and vision, and the three dimensions of safety, reliability and efficiency. Safety indicators include the number of stops, the number of errors and the evacuation distance. Reliability indicators include the gaze time, the number of gazes and the number of direction identification. Efficiency indicators include the dwell time, the evacuation time and the evacuation speed. Based on the collected basic indicators, each specific indicator is obtained by calculation. The calculation formula is as follows:

[0066] Parking times: If the joystick is not pushed for more than 0.4 seconds, it is counted as a parking. The more parking times, the higher the safety hazard. The calculation formula is as follows:

[0067] S=∑S i

[0068] In the formula, S i is the i-th stop.

[0069] Number of mistakes: refers to the number of wrong decisions made by passengers during the evacuation process when they did not choose the preset shortest path, reflecting the accuracy of passengers' decisions. The fewer the number of wrong decisions, the safer the emergency evacuation sign system is. The calculation formula is as follows:

[0070] M=∑M i

[0071] Where M i is the number of mistakes made for the i-th time.

[0072] Evacuation distance: refers to the total path length that the subject travels from the starting point to the end point. It is directly related to whether the passenger has chosen the correct escape route. The shorter the distance, the higher the evacuation safety. The calculation formula is as follows:

[0073]

[0074] D=∑d i

[0075] Where D is the evacuation distance; d i is the evacuation distance at the i-th moment; x i ,y i 、z i is the spatial coordinate of the subject at the i-th moment; i+1 ,y i+1 、z i+1 is the spatial coordinate of the subject at the i+1th moment.

[0076] Gaze time: The total gaze time is calculated by summing up the time spent looking at the evacuation sign each time, and then dividing it by the number of gazes to reflect the ease of understanding of the sign guidance. The shorter the gaze time, the higher the reliability. The calculation formula is as follows:

[0077]

[0078] In the formula, F i is the i-th fixation time.

[0079] Number of gazes: The total number of gazes is calculated by summing the number of times the evacuation sign is gazed at each time, and then divided by the number of visually recognized signs to reflect the clarity of the sign guidance. The fewer the number of gazes, the higher the reliability. The calculation formula is as follows:

[0080]

[0081] Where N i is the i-th fixation behavior, and Q represents the number of visually recognized logos.

[0082] Number of direction identifications: A direction identification behavior is defined as the subject continuously turning the visual angle for more than 0.6 seconds, and the turning angle within each 0.2 seconds is greater than 9°. The number of direction identifications reflects the participant's confidence in the accuracy of the information and the degree of confusion. The fewer the number of direction identifications, the higher the reliability. The calculation formula is as follows:

[0083] R=∑Ri

[0084] In the formula, R i is the behavior of identifying direction for the i-th time.

[0085] Dwell time: The sum of each dwell time is the total dwell time, which reflects the continuity of the sign guidance. The shorter the dwell time, the higher the overall evacuation efficiency. The calculation formula is as follows:

[0086] E=∑E i

[0087] In the formula, E i is the time of the i-th stay.

[0088] Evacuation time: refers to the time it takes for the subject to find the way and finally reach the destination, reflecting the guidance efficiency of the emergency evacuation sign system. The shorter the time, the higher the guidance efficiency of the sign system. The calculation formula is as follows:

[0089] T=T e -T s

[0090] Where, T is the evacuation time; T e is the time to reach the destination; T s The time to start evacuation.

[0091] Evacuation speed: refers to the average speed of passengers during the entire evacuation process. The faster the speed, the higher the evacuation efficiency. The calculation formula is as follows:

[0092]

[0093] In the formula, v i is the speed at the i-th moment.

[0094] 4. Construction of indicator system

[0095] See also Figure 7 and Figure 8 ,The present invention constructs a multi-dimensional indicator system to ,comprehensively evaluate the effectiveness of various emergency evacuation ,sign systems in fire emergency scenarios.

[0096] Step 1: Considering the interactive relationship between safety, reliability and efficiency in the emergency evacuation sign evaluation index system, which conforms to the inherent law of the coupling coordination model, the coupling coordination model is selected for utility evaluation.

[0097] Step 2: Determine the weight of each dimension and each indicator under each dimension. Calculate the weight of the indicator under each dimension separately (calculate several times for several dimensions), and then sum the weight of the indicators under each dimension to obtain the weight of each dimension.

[0098] The specific calculation process is as follows:

[0099] First, the index is dimensionless using the range method:

[0100] (Positive indicator)

[0101] (Negative indicator)

[0102] Where i is the evaluation object (i = 1, 2, 3, ..., n), j is the evaluation index (j = 1, 2, 3, ..., 9); x ij is the jth indicator of the i-th evaluation object; X ij is its standardized value, ranging from [0,1]; x max and x min They are the indicators x ij The maximum and minimum values ​​of .

[0103] After standardizing each indicator, calculate the characteristic proportion or contribution of the jth indicator of the i-th evaluation object:

[0104]

[0105] Where P ij It is the characteristic proportion of the jth indicator of the i-th evaluation object.

[0106] Calculate the information entropy of the j-th indicator:

[0107]

[0108] Where, 0≤e j ≤1, when P ij = 0, e j =0; k is a constant and its value must be greater than zero.

[0109] Calculate the coefficient of difference of the jth indicator

[0110] g j =1-e j

[0111] The greater the variability of an indicator, the more important information it provides, so the indicator has a greater weight.

[0112] Determine the weight of each indicator:

[0113]

[0114] Step 3: Use the coupling coordination model to quantitatively evaluate the comprehensive benefits and overall coupling coordination of the safety, stability and reliability of various emergency evacuation sign systems under different emergencies. The specific calculation process of the coupling coordination is as follows:

[0115] The comprehensive benefits of each dimension are calculated by linear weighting method:

[0116] s i =∑Z·w j

[0117] In the formula, S1, S2, and S3 refer to the comprehensive benefits of safety, reliability, and efficiency, respectively; Z is the standard value matrix of each indicator; w j is the weight of each indicator under each dimension.

[0118] Calculate the comprehensive coordination index:

[0119] T=a1·S1+a2·S2+a3·S3

[0120] a i Represents the weight of each dimension, and the sum is 1.

[0121] Calculate the coupling between different dimensions:

[0122]

[0123] Calculate the coupling coordination:

[0124]

[0125] The value range of coupling coordination is [0,1]. The larger the coupling coordination, the higher the degree of coupling coordination of the system in all dimensions. Table 1 shows the classification of coupling coordination levels:

[0126] Table 1 Evaluation criteria for coupling coordination level

[0127]

Claims

1. A method for testing and evaluating the effectiveness of a subway emergency evacuation sign system, characterized in that: The following steps are involved: a. Build a simulation experiment platform to evaluate the subway emergency evacuation sign system. The simulation experiment platform integrates building information modeling (BIM), Unity game engine and virtual reality technology; b. Using the simulation experiment platform, develop a simulated fire emergency event and emergency evacuation sign system; c. Recruit volunteers to conduct experimental tests and collect passengers’ evacuation behavior parameters and visual gaze parameters through experiments, including but not limited to evacuation speed, evacuation time, evacuation distance and gaze time; d. Based on safety, reliability and efficiency, a multi-dimensional and comprehensive evaluation index system is constructed, and a coupling coordination degree model is used to comprehensively evaluate the effectiveness of various emergency evacuation sign systems in fire emergency scenarios to determine the optimal configuration of the emergency guide sign system.

2. The method according to claim 1, characterized in that The construction process of the simulation experiment platform is as follows: by obtaining the architectural parameters of the subway station, the software is used to generate an accurate structural model and various internal features; Unity 3D is used to achieve the rendering of the on-site environment and fire scene, the integration of virtual characters, and the development of emergency evacuation signs; through virtual reality (VR) technology, an immersive experience of the internal environment of the subway station is achieved, including simulating the visual, auditory and tactile feedback of passengers; The data acquisition system is used to monitor and record the environmental parameters and the volunteers' behavior and eye movement data in real time during the experiment.

3. The method according to claim 2, characterized in that The development process of the simulation experiment scene and the emergency evacuation sign system is as follows: using the constructed simulation experiment platform, first complete the development of the fire emergency event scene, including the simulation of flames and the diffusion of smoke; on this basis, place the designed emergency evacuation sign system inside the scene, including a static sign system and a dynamic sign system.

4. The method according to claim 2 or 3, characterized in that: The experimental test and data collection process are as follows: recruit volunteers who meet the following three criteria: 1) normal hearing and visual function; 2) insensitive to 3D-induced dizziness; 3) proficient in operating VR controllers; the number of volunteers recruited must meet the minimum sample size requirement of 25 people; During the experiment, the volunteers' evacuation behavior data and visual gaze data were obtained, including but not limited to evacuation speed, evacuation time, evacuation distance and gaze time.

5. The method according to claim 4, characterized in that The construction and evaluation process of the evaluation index system is as follows: starting from the perspectives of safety, reliability and efficiency, a multi-dimensional and comprehensive evaluation index system is constructed, in which safety includes the number of stops, the number of errors and the evacuation distance indicators, the reliability index includes the gaze time, the number of gazes and the number of direction identification indicators, and the efficiency index includes the dwell time, the evacuation time and the evacuation speed indicators; considering the interactive coupling relationship between safety, reliability and efficiency, a coupling coordination degree model is used to comprehensively evaluate the effectiveness of various emergency evacuation sign systems in fire emergency scenarios to determine the optimal configuration of the emergency guide sign system.

6. The method according to claim 1, characterized in that The simulation includes but is not limited to smoke diffusion simulation, emergency lighting and sound prompt simulation.

7. The method according to claim 5, characterized in that Unity collects the experimenter's evacuation trajectory data; the evacuation trajectory data information consists of the three spatial coordinates of X, Y, and Z where the object is located in the Unity 3D engine.

Images