Subway personnel evacuation methods, devices, electronic equipment and storage media

Abstract

This invention discloses a subway passenger evacuation method, device, electronic equipment, and storage medium, relating to the field of subway emergency response technology. The method includes: constructing an evacuation model based on target subway station information; simulating passenger evacuation using 3D simulation technology with preset crowd numbers and speeds via a random number table method; selecting indicators such as crowd number, speed, and whether passengers escape safely from the simulation results; inputting multiple indicator parameters into a perceptron algorithm to obtain the relationship between passenger speed, crowd number, and whether passengers can escape safely; assigning a preset crowd speed to the target subway station; and determining the maximum capacity of the target subway station based on the crowd speed. This invention simulates the actual passenger evacuation process in a subway station, obtains corresponding sample parameters, and then uses a perceptron algorithm to calculate the maximum capacity of the subway station, providing a reference for actual passenger evacuation in various subway stations.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of subway emergency response technology, specifically to a subway personnel evacuation method, device, electronic equipment, and storage medium. Background Technology

[0002] In recent years, rapid socio-economic and technological development has led to a rapid expansion of urban construction and urbanization, resulting in a rapid increase in urban population and increased traffic pressure within cities. Under these circumstances, subways, as a convenient, fast, and space-saving mode of transportation, have become the preferred solution for many cities to alleviate traffic congestion. However, subways are relatively enclosed spaces, and in the event of a disaster, the space and time for evacuation for passengers inside the subway are extremely limited.

[0003] Currently, in engineering evacuation standards, the commonly used method for calculating evacuation time is the empirical method. This method adds the disaster reaction time and the walking time of an individual to obtain the final escape time, which is then compared with a safe time to determine whether people can escape successfully. However, when a disaster occurs, people tend to gather together in panic and rush towards the same stairwell. Therefore, when people escape quickly, they may wait for a considerable amount of time in narrow spaces such as stairwells, and this waiting time is difficult to calculate using the empirical method. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of this invention is to provide a subway personnel evacuation method, device, electronic device and storage medium, which obtains corresponding sample parameters by simulating the evacuation process of an actual subway station, and then calculates the maximum carrying capacity of the subway station through a perceptron algorithm, providing a reference for the actual personnel evacuation of each subway station.

[0005] To address the aforementioned problems, the first aspect of this invention discloses a subway passenger evacuation method, comprising:

[0006] Construct an evacuation model based on the target subway station information;

[0007] The random number table method is used to preset the number and speed of people in the subway station, and 3D simulation technology is used to simulate the evacuation of people based on the evacuation model.

[0008] The simulation results selected the number of people, the speed of the crowd, and the evacuation time as indicators.

[0009] By inputting the aforementioned index parameters into the perceptron algorithm, the relationship between speed and the number of people being evacuated can be obtained:

[0010] f(x) = x1 - ax2 - b

[0011] Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful.

[0012] Based on the specific conditions of the target subway station, a preset evacuation speed is assigned to the target subway station, and the maximum capacity of the target subway station is determined according to the evacuation speed.

[0013] f(x) = 0

[0014] Right now:

[0015] Where X represents the maximum number of people that can be carried.

[0016] A second aspect of this invention discloses a subway passenger evacuation system, comprising:

[0017] The module is used to build an evacuation model based on the target subway station information;

[0018] The simulation module is used to preset the number and speed of people in the subway station using a random number table method, and to simulate the evacuation of people based on an evacuation model using 3D simulation technology.

[0019] The selection module is used to select the number of people, the speed of people, and the evacuation time as indicators in the simulation results;

[0020] The training module is used to input the aforementioned index parameters into the perceptron algorithm to obtain the relationship between speed and the number of people being evacuated.

[0021] f(x) = x1 - ax2 - b

[0022] Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful.

[0023] The determination module is used to assign a preset evacuation speed to the target subway station based on its specific conditions, and to determine the maximum capacity of the target subway station based on the evacuation speed.

[0024] f(x) = 0

[0025] Right now:

[0026] Where X represents the maximum number of people that can be carried.

[0027] A third aspect of the present invention discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, it implements the steps of the subway personnel evacuation method disclosed in the first aspect of the present invention.

[0028] A fourth aspect of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to perform the steps of the subway personnel evacuation method disclosed in the first aspect of the present invention.

[0029] The fifth aspect of this invention discloses a computer program product that, when run on a computer, causes the computer to execute the steps of the subway personnel evacuation method disclosed in the first aspect of this invention.

[0030] The sixth aspect of this invention discloses an application publishing platform for publishing computer program products. When the computer program product is run on a computer, the computer executes the steps of the subway personnel evacuation method disclosed in the first aspect of this invention.

[0031] Compared with the prior art, the beneficial effects of the embodiments of the present invention are as follows:

[0032] This invention simulates the evacuation of people in a subway station in a real-world scenario, thereby obtaining multiple different index parameters. Based on these index parameters, a critical linear equation is obtained through a perceptron algorithm as the basis for the maximum carrying capacity of the subway station. This provides a basis for the management and control of various subway stations in harsh environments and their own complex structures, and also provides a reference for their crowd evacuation. Attached Figure Description

[0033] Figure 1 This is a schematic flowchart of a subway passenger evacuation method provided in an embodiment of the present invention;

[0034] Figure 2 This invention provides a 3D simulation character model diagram.

[0035] Figure 3 This is a schematic diagram of the structure of a subway personnel evacuation device disclosed in an embodiment of the present invention;

[0036] Figure 4 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. Detailed Implementation

[0037] This specific embodiment is merely an explanation of the embodiments of the present invention and is not intended to limit the embodiments of the present invention. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but as long as they are within the scope of the claims of the embodiments of the present invention, they are protected by patent law.

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of the embodiments of the present invention.

[0039] The term "comprising" and any variations thereof in the specification and claims of this application are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product or device.

[0040] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0041] This invention simulates the evacuation of people in a subway station in a real-world scenario, thereby obtaining multiple different index parameters. Based on these index parameters, a critical linear equation is obtained through a perceptron algorithm as the basis for the maximum carrying capacity of the subway station. This provides a basis for the management of each subway station in harsh environments and with its own complex structure, and also provides a reference for its crowd evacuation. The following is a detailed description in conjunction with the accompanying drawings.

[0042] Example 1

[0043] Please see Figure 1 , Figure 1 This is a schematic flowchart of a subway passenger evacuation method disclosed in one embodiment of the present invention. Figure 1 As shown, the subway evacuation methods include:

[0044] S110. Construct an evacuation model based on the target subway station information.

[0045] The evacuation model in this embodiment of the invention uses an actual subway station as a template. Based on the design drawings and on-site investigation, the dimensions and building structure of the subway station are determined. This evacuation model is based on this actual subway station and is constructed at a 1:1 scale.

[0046] According to GB 50157-2013 "Code for Design of Metro", assuming a personnel response time of 30 seconds, the station design should ensure that evacuation from the farthest point on the platform to a safe location is completed within 6 minutes or less. Therefore, all personnel should evacuate to the ground within 330 seconds (i.e., the safe time).

[0047] S120. Use a random number table method to preset the number of people in the subway station and the escape speed of the people (i.e., the speed of the people).

[0048] In a preferred embodiment of the present invention, 3D simulation technology is used to simulate the evacuation of personnel under preset parameters of evacuation number and evacuation speed for each sample, thereby obtaining parameters for each sample.

[0049] The determination of constraint parameters mainly includes the determination of the number of evacuees and evacuation personnel indicators. Specifically, this includes:

[0050] (1) Determine the range of station personnel based on the passenger flow survey report of the subway station.

[0051] By setting a larger range of population density, the scope of evacuation numbers can be expanded, resulting in more comprehensive results that include more possibilities, thereby improving the accuracy of the model. Specific parameters can be determined based on the specific circumstances of the city and station.

[0052] (2) Use 3D simulation technology to construct a simulated character model.

[0053] The size of the crowd model during evacuation will affect the evacuation time. An analogy method was adopted, using similar subway lines as the survey object, to statistically analyze parameters such as average height and shoulder width of the crowd to improve the realism of the simulation, as shown in Tables 1 and 2. The simulated human models are as follows: Figure 2 As shown.

[0054] Table 1 Height parameters of simulated human population

[0055] Distribution method Minimum value (m) Maximum value (m) Average value (m) Standard deviation (m) normal distribution 1.50 1.90 1.75 0.05

[0056] Table 2 Shoulder width parameters of simulated human subjects

[0057] Distribution method Minimum value (m) Maximum value (m) Average value (m) Standard deviation (m) normal distribution 0.38 0.55 0.45 0.05

[0058] S130. Select multiple indicator parameters in the simulation results. The sample parameters include the number of people, the speed of people, and the evacuation time.

[0059] Twenty samples were randomly selected from a certain range of population size using a random number table method. By setting a larger range of population density, the scope of evacuation was expanded, resulting in more comprehensive results that included more possibilities, thus improving the accuracy of the model. Regarding movement speed, considering the differences in physical abilities of individuals during a disaster, the speed of the crowd will also be within a certain range. By setting a larger speed range, it was possible to accommodate the varying speeds of movement of the crowd under different conditions. The 20 sets of data parameters were input and simulated. The simulation parameters and escape times for each set are shown in Table 3.

[0060] Table 3. Crowd size, crowd speed, and evacuation time based on the random number table method.

[0061]

[0062]

[0063] S140. Obtain the relationship between the number of people and the number of people being evacuated from the perceptron algorithm of the multiple indicator parameters:

[0064] f(x) = x1 - ax2 - b

[0065] Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful.

[0066] The above evacuation analysis shows that the number of evacuees and their movement speed are important factors affecting the overall escape time. To further solve the inherent criteria or corresponding mathematical laws for whether people can escape safely during the evacuation process, a perceptron algorithm is introduced for data analysis.

[0067] The perceptron algorithm is a mathematical method that performs binary classification based on data characteristics. Its core idea lies in using a hyperplane that maximizes the geometric distance between data samples to divide them into different categories.

[0068] Assume that a data set exists in the space:

[0069]

[0070] The equation of the hyperplane is expressed as:

[0071] w T x + b = 0 (Formula 2)

[0072] The geometric distance from each point in the dataset to the hyperplane is:

[0073]

[0074] For misclassified data points (x) i ,y i )have:

[0075] -y i (wx i +b)>0 (Formula 4)

[0076] Misclassified data points (x) i ,y i The distance from the hyperplane is:

[0077]

[0078] The sum of the distances from all misclassified points to the hyperplane is:

[0079]

[0080] By simplifying Equation 6 and finding its minimum value, the hyperplane can be determined:

[0081]

[0082] The data in Table 3 were fed into the perceptron, and the number of evacuees and the speed of the crowd were used as sample indicators. The evacuation time of each sample was compared with the preset safety time (e.g., 330s) of the target subway station. When the evacuation time of the sample was greater than the safety time, it was a negative sample. When the evacuation time of the sample was less than or equal to the safety time, it was a positive sample.

[0083] Using 20 sets of samples as training data, the final classification hyperplane result equation is solved as follows:

[0084] f(x)=0, x1=ax2-b (Formula 8)

[0085] In the actual subway station of this embodiment of the invention, the solution is a = 0.6482 × 10 -4 Given b = 0.955, the final classification hyperplane equation, i.e., the relationship between the velocity coefficient and the number of evacuees, is:

[0086] f(x) = x1 - 0.6482 × 10 -4 x2-0.955 (Formula 9)

[0087] Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. For evacuation simulations with different numbers of people and speed coefficients, if the result after substituting into formula 9 is greater than or equal to 0, it is determined that the escape is successful and all people in the subway can escape safely; if the result is less than 0, it is determined that the escape is successful but not all people in the subway can escape safely.

[0088] S150. Based on the specific circumstances of the target subway station, assign a preset evacuation speed to the target subway station, and determine the maximum capacity of the target subway station according to the speed:

[0089] f(x) = 0

[0090] Right now:

[0091] Where X represents the maximum number of people that can be carried.

[0092] Taking a normal evacuation scenario as an example, assuming the evacuation speed inside the subway station is 1.6 m / s, substituting into Formula 9, we can find that the maximum number of people the subway station can hold is...

[0093] x2=(1.6-0.955) / 0.6482×10000=9950 (people) (Formula 10)

[0094] At an escape speed of 1.6 m / s, the number of people in the subway station should be less than 9,950 to ensure the safe evacuation of all personnel in an emergency. The maximum capacity of different subway stations should be analyzed based on the actual situation. When the target subway station has a harsh environment or a complex structure, the maximum capacity of the subway station should be appropriately reduced.

[0095] Example 2

[0096] Please see Figure 3 , Figure 3 This is a structural schematic diagram of a subway passenger evacuation device disclosed in an embodiment of the present invention. Figure 3 As shown, the subway evacuation system includes:

[0097] Module 210 is used to build an evacuation model based on the target subway station information;

[0098] The simulation module 220 is used to preset the number and speed of the crowd in the subway station using a random number table method, and to simulate the evacuation of people based on the evacuation model using 3D simulation technology.

[0099] Select module 230 to select the number of people, the speed of people, and the evacuation time as indicators in the simulation results;

[0100] Training module 240 is used to input the aforementioned index parameters into the perceptron algorithm to obtain the relationship between speed and the number of people being evacuated.

[0101] f(x) = x1 - ax2 - b

[0102] Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful.

[0103] The determining module 250 is used to assign a preset evacuation speed to the target subway station based on the specific conditions of the target subway station, and to determine the maximum capacity of the target subway station based on the evacuation speed.

[0104] f(x) = 0

[0105] Right now:

[0106] Where X represents the maximum number of people that can be carried.

[0107] Preferably, the building module 210 may include:

[0108] Basic building blocks are used to construct the basic evacuation model of the target subway station at a 1:1 scale.

[0109] Preferably, the simulation module 220 may include:

[0110] Determine the unit and the number of people based on the peak and off-peak crowd concentration at the target subway station;

[0111] The simulation unit uses 3D simulation technology to simulate the evacuation of people under preset parameters of personnel speed and evacuation number for each sample, and obtains the parameters for each sample.

[0112] Preferably, the simulation unit may include:

[0113] Using 3D simulation technology, the evacuation of personnel was simulated under preset parameters of personnel speed and number of evacuees for each sample, and the time for all personnel to be safely evacuated was obtained.

[0114] The evacuation time of each sample is compared with the preset safety time of the target subway station. If the evacuation time of the sample is greater than the safety time, and the personnel cannot all escape safely, it is a negative sample. If the evacuation time of the sample is less than or equal to the safety time, and the personnel can all escape safely, it is a positive sample.

[0115] Example 3

[0116] Please see Figure 4 , Figure 4A schematic diagram of an electronic device that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the embodiments of the invention described herein or claimed.

[0117] like Figure 4 As shown, the electronic device includes at least one processor 310 and a memory, such as a ROM (Read-Only Memory) 320 or a RAM (Random Access Memory) 330, communicatively connected to the at least one processor 310. The memory stores computer programs executable by the at least one processor. The processor 310 can perform various appropriate actions and processes based on the computer program stored in the ROM 320 or loaded into the RAM 330 from storage unit 380. The RAM 330 can also store various programs and data required for the operation of the electronic device. The processor 310, ROM 320, and RAM 330 are interconnected via a bus 340. An I / O (Input / Output) interface 350 is also connected to the bus 340.

[0118] Multiple components in the electronic device are connected to the I / O interface 350, including: an input unit 360, such as a keyboard, mouse, etc.; an output unit 370, such as various types of displays, speakers, etc.; a storage unit 380, such as a disk, optical disk, etc.; and a communication unit 390, such as a network card, modem, wireless transceiver, etc. The communication unit 390 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0119] Processor 310 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 310 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 310 performs one or more steps of a subway passenger evacuation method described in any of the above embodiments.

[0120] In some embodiments, a subway passenger evacuation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 380. In some embodiments, part or all of the computer program may be loaded into or / and installed on an electronic device via ROM 320 and / or communication unit 390. When the computer program is loaded into RAM 330 and executed by processor 310, one or more steps of a subway passenger evacuation method described in any of the above embodiments may be performed. Alternatively, in other embodiments, processor 310 may be configured to perform a subway passenger evacuation method by any other suitable means (e.g., by means of firmware).

[0121] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0122] Computer programs for implementing the methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0123] In the context of embodiments of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0124] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0125] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0126] The present invention has provided a detailed description of a subway personnel evacuation method, device, electronic device, and storage medium. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for evacuating subway passengers, characterized in that, It includes: Construct an evacuation model based on the target subway station information; The random number table method is used to preset the number and speed of people in the subway station, and 3D simulation technology is used to simulate the evacuation of people based on the evacuation model. The simulation results selected the number of people, the speed of the crowd, and the evacuation time as indicators. By inputting the aforementioned index parameters into the perceptron algorithm, the relationship between speed and the number of people being evacuated can be obtained: f(x) = x1 - ax2 - b Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful. Based on the specific conditions of the target subway station, a preset evacuation speed is assigned to the target subway station, and the maximum capacity of the target subway station is determined according to the evacuation speed. f(x) = 0 Right now: Where X represents the maximum number of people that can be carried.

2. The subway passenger evacuation method according to claim 1, characterized in that, An evacuation model is constructed based on the target subway station information, including: An evacuation basic model was constructed at a 1:1 scale, based on the specific structure of the target subway station.

3. The subway passenger evacuation method according to claim 1, characterized in that, The system uses a random number table method to pre-determine the number and speed of people in the subway station, and then uses 3D simulation technology based on an evacuation model to simulate the evacuation of people, including: Determine the number of people based on the peak and off-peak crowd concentration levels at the target subway station; Using 3D simulation technology, the evacuation of people was simulated under preset parameters of personnel speed and number of evacuees for each sample, and various index parameters were obtained.

4. The subway passenger evacuation method according to claim 3, characterized in that, Using 3D simulation technology, the evacuation of personnel was simulated under preset parameters of personnel speed and number of evacuees for each sample, and the time for all personnel to be safely evacuated was obtained. The evacuation time of each sample is compared with the preset safety time of the target subway station. If the evacuation time of the sample is greater than the safety time, and the personnel cannot all escape safely, it is a negative sample. If the evacuation time of the sample is less than or equal to the safety time, and the personnel can all escape safely, it is a positive sample.

5. The subway passenger evacuation method according to any one of claims 1-4, characterized in that, When the target subway station has a harsh environment and complex structure, the maximum passenger capacity of the target subway station should be reduced.

6. A subway passenger evacuation system, characterized in that, It includes: The module is used to build an evacuation model based on the target subway station information; The simulation module is used to preset the number and speed of people in the subway station using a random number table method, and to simulate the evacuation of people based on an evacuation model using 3D simulation technology. The selection module is used to select the number of people, the speed of people, and the evacuation time as indicators in the simulation results; The training module is used to input the aforementioned index parameters into the perceptron algorithm to obtain the relationship between speed and the number of people being evacuated. f(x) = x1 - ax2 - b Where x1 is the speed of evacuation, x2 is the number of evacuees, a is the coefficient of the number of evacuees, and b is a constant. The specific values ​​of a and b are obtained through the perceptron algorithm. When f(x) is greater than or equal to 0, the escape is considered successful. When f(x) is less than 0, the escape is considered unsuccessful. The determination module is used to assign a preset evacuation speed to the target subway station based on its specific conditions, and to determine the maximum capacity of the target subway station based on the evacuation speed. f(x) = 0 Right now: Where X represents the maximum number of people that can be carried.

7. The subway passenger evacuation system according to claim 6, characterized in that, The building module includes: The basic building blocks, constructed at a 1:1 scale, form the basic evacuation model of the target subway station.

8. The subway passenger evacuation system according to claim 6, characterized in that, The simulation module includes: The unit is used to determine the number of people based on the peak and off-peak crowd concentration levels at the target subway station. The simulation unit is used to simulate the evacuation of personnel using 3D simulation technology under preset parameters of personnel speed and evacuation number for each sample, and to obtain various index parameters.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps of the subway personnel evacuation method as described in any one of claims 1-5.

10. A computer-readable storage medium, characterized in that, It stores a computer program, wherein the computer program causes the computer to perform the steps of the subway personnel evacuation method according to any one of claims 1-5.

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