Emergency command and dispatch system for smart park
The emergency command and dispatch system for smart parks addresses inefficiencies by analyzing events and determining optimal dispatch paths, enhancing emergency response efficiency and safety through a modular approach.
Patent Information
- Application Number
- CN202411180466.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-27
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing emergency command and dispatch systems in smart parks struggle with information islands, inefficient emergency analysis, and the inability to quickly and safely provide command and dispatch paths during emergencies.
An emergency command and dispatch system for smart parks, comprising an emergency event analysis module, a command and dispatch simulation module, and an emergency path determination module, which divides the park into regions, analyzes emergency events, constructs simulation environments, and determines optimal dispatch paths.
Facilitates efficient and accurate emergency event analysis, enabling quick and safe dispatch paths, improving emergency response efficiency and safety in smart parks.
Smart Images
Figure CN119151135A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of park safety technology, and more specifically, to an emergency command and dispatch system for a smart park. Background Art
[0002] With the advancement of smart park construction, the demand for intelligent and integrated emergency command and dispatch systems has become increasingly prominent. Existing emergency command and dispatch systems often have problems such as information islands, and the current emergency command and dispatch systems often need to process a large amount of information at the same time, and sometimes cannot quickly analyze emergencies in smart parks. After determining that there is an emergency in a smart park, the current emergency command and dispatch system cannot quickly and safely provide command and dispatch paths for people and property in the park, and cannot meet the emergency dispatch needs of smart parks. Summary of the invention
[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide an emergency command and dispatch system for a smart park.
[0004] To achieve the above object, the present invention provides the following technical solutions:
[0005] An emergency command and dispatch system for smart parks, including an emergency event analysis module, a command and dispatch simulation module, and an emergency path determination module;
[0006] The emergency event analysis module divides the smart park into regions according to the functional layout of the smart park, obtains multiple emergency dispatch partitions after the division, sets a sequence of emergency type events, analyzes each emergency type event in the emergency dispatch partition in turn according to the sequence of emergency type events every d, and determines whether to mark the emergency dispatch partition and the emergency type event based on the comparison result of the emergency event value and its threshold value;
[0007] The command and dispatch simulation module constructs a command and dispatch simulation environment when a dispatch start partition appears;
[0008] The emergency path determination module obtains multiple command and dispatch simulation paths based on the command and dispatch simulation environment, selects a selected command and dispatch path based on the command and dispatch simulation path, and commands and dispatches personnel and properties in the dispatch starting area according to the selected command and dispatch path.
[0009] Furthermore, after each analysis of an emergency type event, an emergency event analysis record of the emergency type event is generated, and the emergency event analysis record includes the emergency dispatch partition number, the emergency type event name, the emergency event value, and the record generation time.
[0010] Furthermore, based on the comparison result between the emergency event value and its threshold, it is determined whether to mark the emergency dispatch partition and the emergency type event, specifically: each time an emergency event analysis record is generated, the emergency event value of the emergency event analysis record is obtained, and the emergency event threshold is obtained synchronously; when the emergency event value is greater than or equal to the emergency event threshold, the emergency dispatch partition number of the emergency event analysis record is obtained, the emergency dispatch partition is marked as a dispatch start partition, and the emergency type event is marked as a dispatch type event;
[0011] When the burst event value is less than the burst event threshold, the next burst type event is analyzed according to the burst type event sequence.
[0012] Furthermore, the sequence of emergency type events is obtained in the following way: obtain all emergency event analysis records generated by the smart park before the current time, obtain the emergency type event name of the emergency event analysis record, mark the emergency event analysis records with the same emergency type event name as the same event analysis record, sum up the emergency event values of all the same event analysis records and take the average to obtain the emergency event mean LYG, sort all the same event analysis records in the order of record generation time, sum up the emergency event values of the two adjacent same event analysis records after sorting to obtain the emergency event continuity value, set the emergency event continuity threshold, when the emergency event continuity value is greater than or equal to the emergency event continuity threshold, increase the event continuity times by one, when the emergency event continuity value is less than the emergency event continuity threshold, do not process it, sum up the event continuity times to obtain the total event continuity times Js, and use the formula The event sequence value Ft of the burst type event is obtained, where h1 is the burst event mean coefficient, h2 is the total number of consecutive event coefficients, and all burst type events are sorted in descending order according to the numerical value of the event sequence value to obtain the burst type event sequence.
[0013] Furthermore, the emergency event value recorded in the emergency event analysis is obtained in the following manner: obtaining real-time data of each basic event in the emergency type event, obtaining a basic event analysis model for each basic event, and then obtaining a basic emergency value for each basic event, obtaining a basic emergency boundary value for each basic event, and comparing the basic emergency value of the same basic event with the basic emergency boundary value. When the basic emergency value is greater than or equal to the basic emergency boundary value, the basic event is marked as a sudden basic event. When the basic emergency value is less than the basic emergency boundary value, the basic event is marked as a compliant basic event. The total number of sudden basic events in the sudden type event is marked as ATB, and the total number of compliant basic events in the sudden type event is marked as CMS. The basic emergency values of all sudden basic events are summed up in pairs to obtain multiple basic burst increase values, a basic burst increase limit is set, and each basic burst increase value is compared with the basic burst increase limit value. When the basic burst increase value is greater than or equal to the basic burst increase limit value, the number of burst increases is increased once. When the basic burst increase value is less than the basic burst increase limit value, no processing is performed. The number of burst increases is summed up to obtain the burst increase sum RKA, and the formula is used. The emergency value Wb of the emergency analysis record is obtained, where y1 is the total number coefficient of emergency basic events, y2 is the total number coefficient of compliance basic events, and y3 is the emergency increase and number coefficient.
[0014] Furthermore, the basic burst value of each basic event is obtained by the following method: the real-time data of each basic event is input into the corresponding basic event analysis model, and the basic burst value of each basic event is output.
[0015] Furthermore, when a scheduling starting partition appears, the scheduling starting partition is marked as the starting point, the exit of the smart park is marked as the end point, and the emergency event analysis records belonging to the scheduling type events in the remaining emergency scheduling partitions are simultaneously marked as scheduling analysis records, and a command and dispatch simulation environment is constructed based on the starting point and the end point.
[0016] Furthermore, a selected command and dispatch path is selected based on the command and dispatch simulation path, specifically: each command and dispatch simulation path is simulated, an emergency recommended value of each command and dispatch simulation path is obtained, and the command and dispatch simulation path with the largest emergency recommended value is marked as the selected command and dispatch path.
[0017] Furthermore, the emergency recommended value of the command and dispatch simulation path is obtained in the following way: during the simulation process of the command and dispatch simulation path, a command and dispatch value is generated every e time. After the simulation of the command and dispatch simulation path is completed, all command and dispatch values are summed and averaged to obtain the command and dispatch mean MS. All command and dispatch values are sorted in the order of generation. The difference between the two adjacent command and dispatch values after sorting is calculated to obtain the command and dispatch variable value. The command and dispatch threshold variable value is set. When the command and dispatch variable value is greater than or equal to the command and dispatch threshold variable value, the command and dispatch fluctuation times are increased once. When the command and dispatch variable value is less than the command and dispatch threshold variable value, no processing is performed. The command and dispatch fluctuation times are summed to obtain the total command and dispatch fluctuation times RY. The formula is used The emergency recommended value FFk of the command and dispatch simulation path is obtained, where s1 is the command and dispatch mean coefficient, and s2 is the command and dispatch total number of fluctuation coefficients.
[0018] Furthermore, the command and dispatch value is obtained in the following way: mark the emergency dispatch partition that the command and dispatch simulation path passes through within the e time period as a simulation path partition, obtain the emergency event value of the dispatch analysis record of the simulation path partition, sum up all the emergency event values and take the average to obtain the command and dispatch value.
[0019] Compared with the prior art, the present invention has the following beneficial effects:
[0020] 1. Set up an emergency analysis module to conduct independent emergency analysis for each area of the smart park, so as to facilitate emergency command and dispatch when emergency events occur in the future, reasonably set the analysis priority of each emergency event in the smart park, improve the analysis efficiency of emergency events in the smart park, ensure accurate analysis of each emergency event, and quickly identify the emergency events in the park;
[0021] 2. Set up a command and dispatch simulation module and an emergency path determination module. When a certain type of emergency event is found in a certain emergency dispatch zone, a reasonable and safe command and dispatch path can be quickly determined through path simulation to ensure safe emergency dispatch of the smart park. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a flowchart of an emergency command and dispatch system for smart parks;
[0023] Figure 2 This is a module block diagram of an emergency command and dispatch system for smart parks. DETAILED DESCRIPTION
[0024] Reference Figure 1-Figure 2,An emergency command and dispatch system for a smart park includes an emergency event analysis module, a command and dispatch simulation module, and an emergency path determination module.
[0025] Emergency analysis module: According to the functional layout of the smart park, the smart park is divided into regions (the smart park includes production areas, office areas, storage areas, service areas, etc., and the production areas, office areas, storage areas, and service areas can be further refined. The smart park is divided into regions based on the refined standards. The refined standards are set according to the specific functions and needs of the smart park. It is not the focus of this application, so it will not be elaborated). After the division, multiple emergency dispatch zones are obtained.
[0026] Set up a sequence of emergency type events (the sequence of emergency type events includes all emergency type events that may occur in the smart park. The emergency type events that may occur in the smart park are related to the type and characteristics of the smart park. For example, the smart park in the chemical industry may have environmental pollution type events, and the smart park in the Internet industry may have network security type events. The following will take four emergency type events as examples to show the sequence of emergency type events [terrorist attack type events, natural disaster type events, environmental pollution type events, production safety type events]). Every d, analyze each emergency type event in the emergency dispatch partition in turn according to the sequence of emergency type events (for example, if the sequence of emergency type events is [terrorist attack type events, natural disaster type events, environmental pollution type events, production safety type events], then first analyze the terrorist attack type events, and finally analyze the production safety type events). After analyzing each emergency type event, generate an emergency event analysis record of the emergency type event. The emergency event analysis record includes the emergency dispatch partition number (each emergency dispatch partition corresponds to a unique number), the name of the emergency type event, the emergency event value, and the record generation time.
[0027] Each time an emergency analysis record is generated, the emergency value of the emergency analysis record is obtained, and the emergency threshold (the system sets the threshold, which can be modified according to actual needs) is obtained simultaneously. When the emergency value is greater than or equal to the emergency threshold, the emergency dispatch partition number of the emergency analysis record is obtained, the emergency dispatch partition is marked as the dispatch start partition, and the emergency type event is marked as a dispatch type event;
[0028] When the burst event value is less than the burst event threshold, the next burst type event is analyzed according to the burst type event sequence.
[0029] The sequence of sudden event types is obtained in the following way: obtain all sudden event analysis records generated by the smart park before the current time, obtain the sudden event name of the sudden event analysis record, mark the sudden event analysis records with the same sudden event name as the same event analysis record, sum up the sudden event values of all the same event analysis records and take the average value to obtain the sudden event mean LYG, sort all the same event analysis records in the order of record generation time, sum up the sudden event values of the two adjacent same event analysis records after sorting to obtain the sudden event continuity value, set the sudden event continuity threshold (the system sets the threshold and can be modified according to actual needs), when the sudden event continuity value is greater than or equal to the sudden event continuity threshold, increase the event continuity times by one, when the sudden event continuity value is less than the sudden event continuity threshold, do not process it, sum up the event continuity times to obtain the total event continuity times Js, and use the formula The event sequence value Ft of the burst type event is obtained, where h1 is the mean coefficient of the burst event, h2 is the coefficient of the total number of consecutive events, the value of h1 is 0.51, and the value of h2 is 0.48. All burst type events are sorted in descending order according to the numerical value of the event sequence value to obtain the burst type event sequence.
[0030] The emergency value of the emergency analysis record is obtained in the following way: obtain the real-time data of each basic event in the emergency type event (taking the production safety type event as an example, the basic events of the production safety type event are various, including but not limited to mechanical failure events, electrical accident events, fire accident events, explosion accident events, chemical poisoning events, and each basic event needs to obtain the real-time data of the basic event when analyzing it. The acquisition means are various and are not the focus of this application, so they are not described in detail), obtain the basic event analysis model of each basic event (each basic event has a unique basic event analysis model), and then obtain the basic emergency value of each basic event, obtain the basic emergency boundary value of each basic event (the system sets the threshold value, which can be modified according to actual needs, and the basic emergency boundary values of different basic events are not necessarily the same), when the basic emergency value of the same basic event is compared with the basic emergency boundary value, when the basic emergency value is greater than or equal to the basic emergency boundary value, the basic event is marked as a sudden basic event, and when the basic emergency value is less than the basic emergency boundary value, the basic event is marked as Compliance basic events, the total number of sudden basic events in the sudden type event is marked as ATB, the total number of compliance basic events in the sudden type event is marked as CMS, and the basic burst values of all sudden basic events are summed up in pairs (for example, there are three sudden basic events, namely mechanical failure events, electrical accident events, and fire accident events. The basic burst values of mechanical failure events and electrical accident events are summed up, the basic burst values of electrical accident events and fire accident events are summed up, and the basic burst values of mechanical failure events and fire accident events are summed up, that is, three outstanding defect superposition values are obtained, a total of three summation processes are performed, and three are obtained), multiple basic burst increase values are obtained, and a basic burst increase limit is set (the system sets the threshold, which can be modified according to actual needs), and each basic burst increase value is compared with the basic burst increase limit. When the basic burst increase value is greater than or equal to the basic burst increase limit, the burst increase times are increased once. When the basic burst increase value is less than the basic burst increase limit, no processing is performed. The burst increase times are summed up to obtain the burst increase sum RKA, and the formula is used The emergency value Wb of the emergency analysis record is obtained, where y1 is the total number coefficient of emergency basic events, y2 is the total number coefficient of compliance basic events, y3 is the emergency increase and number coefficient, the value of y1 is 0.75, the value of y2 is 0.73, and the value of y3 is 2.64.
[0031] The basic burst value of each basic event is obtained in the following manner: the real-time data of each basic event is input into the corresponding basic event analysis model, and the basic burst value of each basic event is output.
[0032] Different basic events correspond to a unique basic event analysis model. In essence, the construction method of each basic event analysis model is the same, except that the training data of the model is replaced accordingly, and the value range of the basic burst value of different models is the same. This embodiment will take the mechanical failure event as an example to introduce the construction method of the basic event analysis model: collect g groups of real-time data of mechanical failure events, each group of real-time data includes but is not limited to the operating parameters of the machine and the voiceprint information of the machine, build a neural network model, use the real-time data of g groups of mechanical failure events as the training data of the deep learning model, assign basic burst values to the training data, divide multiple training data into training sets and validation sets in a ratio of 2:1, iteratively train the deep learning model through the training set and the validation set, and obtain the basic event analysis model. Among them, the value range of the basic burst value is (1~3), the closer the value of the basic burst value is to 3, the greater the probability of the occurrence of the mechanical failure event, and the closer the value of the basic burst value is to 1, the smaller the probability of the occurrence of the mechanical failure event.
[0033] Command and dispatch simulation module: When a dispatch starting partition appears, the dispatch starting partition is marked as the starting point, and the exit of the smart park is marked as the end point. At the same time, the emergency event analysis records of the dispatch type events in the remaining emergency dispatch partitions are marked as dispatch analysis records, and a command and dispatch simulation environment is constructed based on the starting point and the end point.
[0034] An emergency analysis module is set up to conduct independent emergency event analysis in each area of the smart park, which is convenient for emergency command and dispatch when emergency events occur in the future. The analysis priority of each emergency event in the smart park is reasonably set to improve the analysis efficiency of emergency events in the smart park, ensure accurate analysis of each emergency event, and quickly identify the emergency events in the park.
[0035] Emergency path determination module: Based on the command and dispatch simulation environment, multiple command and dispatch simulation paths are obtained, each command and dispatch simulation path is simulated, and the emergency recommendation value of each command and dispatch simulation path is obtained. The command and dispatch simulation path with the largest emergency recommendation value is marked as the selected command and dispatch path, and the personnel and property in the dispatch starting area are commanded and dispatched according to the selected command and dispatch path.
[0036] The emergency recommended value of the command and dispatch simulation path is obtained in the following way: during the simulation process of the command and dispatch simulation path, a command and dispatch value is generated every e time. After the simulation of the command and dispatch simulation path is completed, all command and dispatch values are summed and averaged to obtain the command and dispatch mean MS. All command and dispatch values are sorted in the order of generation. The difference between the two adjacent command and dispatch values after sorting is calculated to obtain the command and dispatch variable value. The command and dispatch threshold variable value is set (the system sets the threshold value, which can be modified according to actual needs). When the command and dispatch variable value is greater than or equal to the command and dispatch threshold variable value, the command and dispatch fluctuation times are increased once. When the command and dispatch variable value is less than the command and dispatch threshold variable value, no processing is performed. The command and dispatch fluctuation times are summed to obtain the total command and dispatch fluctuation times RY. The formula is used The emergency recommended value FFk of the command and dispatch simulation path is obtained, where s1 is the command and dispatch mean coefficient, s2 is the command and dispatch total number of fluctuation coefficients, the value of s1 is 0.69, and the value of s2 is 0.77.
[0037] The command and dispatch value is obtained in the following way: mark the emergency dispatch partition that the command and dispatch simulation path passes through within the e time as a simulation path partition, obtain the emergency event value of the dispatch analysis record of the simulation path partition, sum up all the emergency event values and take the average to obtain the command and dispatch value.
[0038] A command and dispatch simulation module and an emergency path determination module are set up. When a certain type of emergency event is found in a certain emergency dispatch zone, a reasonable and safe command and dispatch path can be quickly determined through path simulation to ensure safe emergency dispatch of the smart park.
[0039] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.
[0040] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.
[0041] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0042] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0043] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0044] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0045] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.
[0046] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
Claims
1. An emergency command and dispatch system for smart parks, characterized in that: It includes emergency event analysis module, command and dispatch simulation module, and emergency path determination module; The emergency event analysis module divides the smart park into regions according to the functional layout of the smart park, obtains multiple emergency dispatch partitions after the division, sets a sequence of emergency type events, analyzes each emergency type event in the emergency dispatch partition in turn according to the sequence of emergency type events every d, and determines whether to mark the emergency dispatch partition and the emergency type event based on the comparison result of the emergency event value and its threshold value; The command and dispatch simulation module constructs a command and dispatch simulation environment when a dispatch start partition appears; The emergency path determination module obtains multiple command and dispatch simulation paths based on the command and dispatch simulation environment, selects a selected command and dispatch path based on the command and dispatch simulation path, and commands and dispatches personnel and properties in the dispatch starting area according to the selected command and dispatch path.
2. According to claim 1, an emergency command and dispatch system for a smart park is characterized in that: After each analysis of an emergency type event, an emergency event analysis record of the emergency type event is generated. The emergency event analysis record includes the emergency dispatch partition number, the emergency type event name, the emergency event value, and the record generation time.
3. According to claim 1, an emergency command and dispatch system for a smart park is characterized in that: Based on the comparison result of the emergency event value and its threshold, determine whether to mark the emergency dispatch partition and the emergency type event, specifically: each time an emergency event analysis record is generated, obtain the emergency event value of the emergency event analysis record, and simultaneously obtain the emergency event threshold; when the emergency event value is greater than or equal to the emergency event threshold, obtain the emergency dispatch partition number of the emergency event analysis record, mark the emergency dispatch partition as the dispatch start partition, and mark the emergency type event as a dispatch type event; When the burst event value is less than the burst event threshold, the next burst type event is analyzed according to the burst type event sequence.
4. According to the emergency command and dispatch system for smart parks in claim 1, it is characterized in that: The sequence of emergency type events is obtained in the following way: obtain all emergency event analysis records generated by the smart park before the current time, obtain the emergency type event name of the emergency event analysis record, mark the emergency event analysis records with the same emergency type event name as the same event analysis record, sum up the emergency event values of all the same event analysis records and take the average to obtain the emergency event mean LYG, sort all the same event analysis records in the order of record generation time, sum up the emergency event values of the two adjacent same event analysis records after sorting to obtain the emergency event continuity value, set the emergency event continuity threshold, when the emergency event continuity value is greater than or equal to the emergency event continuity threshold, increase the event continuity times by one, when the emergency event continuity value is less than the emergency event continuity threshold, do not process it, sum up the event continuity times to obtain the total event continuity times Js, and use the formula The event sequence value Ft of the burst type event is obtained, where h1 is the burst event mean coefficient, h2 is the total number of consecutive event coefficients, and all burst type events are sorted in descending order according to the numerical value of the event sequence value to obtain the burst type event sequence.
5. The emergency command and dispatch system for smart parks according to claim 2 is characterized in that: The emergency event value recorded in the emergency event analysis is obtained in the following way: obtain the real-time data of each basic event in the emergency type event, obtain the basic event analysis model of each basic event, and then obtain the basic emergency value of each basic event, obtain the basic emergency boundary value of each basic event, compare the basic emergency value of the same basic event with the basic emergency boundary value, when the basic emergency value is greater than or equal to the basic emergency boundary value, mark the basic event as a sudden basic event, when the basic emergency value is less than the basic emergency boundary value, mark the basic event as a compliant basic event, mark the total number of sudden basic events in the sudden type event as ATB, mark the total number of compliant basic events in the sudden type event as CMS, sum the basic emergency values of all sudden basic events in pairs to obtain multiple basic sudden increase values, set the basic sudden increase limit value, compare each basic sudden increase value with the basic sudden increase limit value, when the basic sudden increase value is greater than or equal to the basic sudden increase limit value, the sudden increase times are increased once, when the basic sudden increase value is less than the basic sudden increase limit value, no processing is performed, sum the sudden increase times to obtain the sudden increase sum RKA, and use the formula The emergency value Wb of the emergency analysis record is obtained, where y1 is the total number coefficient of emergency basic events, y2 is the total number coefficient of compliance basic events, and y3 is the emergency increase and number coefficient.
6. The emergency command and dispatch system for smart parks according to claim 5 is characterized in that: The basic burst value of each basic event is obtained in the following manner: the real-time data of each basic event is input into the corresponding basic event analysis model, and the basic burst value of each basic event is output.
7. The emergency command and dispatch system for smart parks according to claim 1 is characterized in that: When a scheduling starting partition appears, the scheduling starting partition is marked as the starting point, and the exit of the smart park is marked as the end point. At the same time, the emergency event analysis records of the scheduling type events in the remaining emergency scheduling partitions are marked as scheduling analysis records, and a command and dispatch simulation environment is constructed based on the starting point and the end point.
8. The emergency command and dispatch system for smart parks according to claim 1 is characterized in that: The command and dispatch path is selected based on the command and dispatch simulation path, specifically: each command and dispatch simulation path is simulated, the emergency recommended value of each command and dispatch simulation path is obtained, and the command and dispatch simulation path with the largest emergency recommended value is marked as the selected command and dispatch path.
9. The emergency command and dispatch system for smart parks according to claim 8 is characterized in that: The emergency recommended value of the command and dispatch simulation path is obtained in the following way: during the simulation process of the command and dispatch simulation path, a command and dispatch value is generated every e time. After the simulation of the command and dispatch simulation path is completed, all command and dispatch values are summed and averaged to obtain the command and dispatch mean MS. All command and dispatch values are sorted in the order of generation. The difference between the two adjacent command and dispatch values after sorting is calculated to obtain the command and dispatch variable value. The command and dispatch threshold variable value is set. When the command and dispatch variable value is greater than or equal to the command and dispatch threshold variable value, the command and dispatch fluctuation times are increased once. When the command and dispatch variable value is less than the command and dispatch threshold variable value, no processing is performed. The command and dispatch fluctuation times are summed to obtain the total command and dispatch fluctuation times RY. The formula is used The emergency recommended value FFk of the command and dispatch simulation path is obtained, where s1 is the command and dispatch mean coefficient, and s2 is the command and dispatch total number of fluctuation coefficients.
10. The emergency command and dispatch system for smart parks according to claim 9, characterized in that: The command and dispatch value is obtained in the following way: mark the emergency dispatch partition that the command and dispatch simulation path passes through within the e time as a simulation path partition, obtain the emergency event value of the dispatch analysis record of the simulation path partition, sum up all the emergency event values and take the average to obtain the command and dispatch value.