Fire safety sensing system with multidirectional parameter access and use method thereof

Abstract

The invention relates to the technical field of fire safety sensing systems, and particularly discloses a fire safety sensing system with multidirectional parameter access and a use method thereof. Comprising an intelligent environment sensing module, an electrical safety monitoring module, a video smoke and fire identification module, a personnel positioning and evacuation guiding module, an intelligent access control module, a fire-fighting equipment state monitoring module and an emergency communication and broadcast module. An innovative intelligent environment sensing module is integrated, various environment parameters can be monitored and comprehensively analyzed in real time through a high-precision sensor and an advanced fire hazard prediction algorithm, more accurate fire hazard risk assessment is realized, the accuracy and timeliness of fire hazard early warning are improved, and the safety of fire hazard early warning is improved through a comprehensive environment risk assessment formula. The reliability and practicability of early warning are further enhanced, and more comprehensive intelligent guarantee is provided for fire safety.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire safety perception systems, and in particular, relates to a fire safety perception system with multi-directional parameter access and a method of using the same. Background Art

[0002] The fire safety perception system is a security system built on new-generation information technologies such as the Internet of Things, cloud computing, and big data. It uses wireless terminals, sensor detection equipment, etc. to achieve real-time monitoring and intelligent early warning of fire-fighting equipment, target areas, etc., aiming to improve the efficiency and accuracy of fire prevention and rescue, and to ensure public safety and social stability.

[0003] The existing fire safety perception systems mainly rely on traditional sensors and relatively basic fire detection algorithms. They are relatively single in environmental monitoring parameters, and the accuracy and real-time performance of fire risk assessment are limited. It is difficult to comprehensively and deeply analyze complex and changeable environmental factors, which leads to deficiencies in the accuracy and timeliness of fire warnings. It is difficult to meet the growing demand for intelligent fire safety, and improvements are needed. Therefore, a fire safety perception system with multi-directional parameter access and its use method are proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a fire safety perception system with multi-directional parameter access and a method of using the same to solve the problems raised in the above background technology.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a fire safety perception system with multi-directional parameter access, including an intelligent environment perception module, an electrical safety monitoring module, a video fireworks recognition module, a personnel positioning and evacuation guidance module, an intelligent access control module, a fire equipment status monitoring module, an emergency communication and broadcasting module, and a data analysis and decision support module. The intelligent environment perception module is used to monitor environmental parameters in real time, predict fire risks, and cooperate with the electrical safety monitoring module, the video fireworks recognition module, and the data analysis and decision support module to provide comprehensive fire warning information; the electrical safety monitoring module is used to monitor circuit parameters, discover electrical fire hazards, and cooperate with the intelligent environment perception module and the data analysis and decision support module to provide electrical fire warnings; the video fireworks recognition module is used to identify flames and smoke through video images and monitor early fires; the personnel positioning and evacuation guidance module is used to realize It tracks the location of personnel in real time, provides evacuation path guidance, and cooperates with the intelligent environment perception module, video fireworks recognition module, intelligent access control module, emergency communication and broadcast module to provide dynamic evacuation guidance; the intelligent access control module is used to automatically unlock the access control when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module, emergency communication and broadcast module to perform rapid evacuation; the fire equipment status monitoring module is used to monitor the status of fire equipment in real time, and cooperates with the intelligent environment perception module and the data analysis and decision support module to provide fire equipment maintenance suggestions; the emergency communication and broadcast module is used to notify personnel to evacuate when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module, the intelligent access control module, and the data analysis and decision support module to perform emergency communication and evacuation guidance; the data analysis and decision support module is used to integrate data, provide decision support, and cooperate with all modules to provide data analysis, early warning model optimization, and decision suggestions.

[0006] Preferably, the intelligent environment perception module includes a high-precision sensor unit, a data acquisition and processing unit, and a fire prediction algorithm unit. The comprehensive environmental risk assessment calculation formula is, E_risk = alpha*((S_current-S_base) / S_base)^2+beta*(log(1+(T_current-T_base) / T_scale))^2+gamma*Σ((G_i_current-G_i_base) / (G_i_max-G_i_min))^p+delta*exp(-((H_current-H_opt)^2) / (2*sigma^2)), wherein E_risk represents the environmental risk index, alpha, beta, gamma, de lta is the weight coefficient, S_current, T_current, G_i_current, H_current respectively represent the monitoring values ​​of the current smoke concentration, temperature, other environmental parameters (such as humidity, gas concentration, etc., where i represents different parameters) and a special parameter (such as wind speed), S_base, T_base, G_i_base are the corresponding benchmark values, G_i_max, G_i_min respectively represent the maximum and minimum values ​​of the i-th environmental parameter, T_scale is a temperature scale factor, Σ represents the accumulation of contributions to all other environmental parameters, p is a nonlinear index used to adjust the nonlinearity of the square of the deviation, H_opt is the optimal value of the special parameter, sigma is the standard deviation, which is used to adjust the normal distribution characteristics of the impact of the special parameter on the risk index.

[0007] Preferably, the electrical safety monitoring module includes a current / voltage monitoring unit, a leakage detection unit, and a data transmission and alarm unit.

[0008] Preferably, the video fireworks recognition module includes a video acquisition unit, a fireworks recognition algorithm unit, and an image enhancement and processing unit.

[0009] Preferably, the personnel positioning and evacuation guidance module includes a positioning technology unit, an evacuation route planning unit, and a personnel tracking and display unit.

[0010] Preferably, the intelligent access control module includes an access control unit, an emergency unlocking unit, and a status monitoring and feedback unit.

[0011] Preferably, the fire-fighting equipment status monitoring module includes an equipment status monitoring unit, a data acquisition and transmission unit, and an equipment maintenance suggestion unit.

[0012] Preferably, the emergency communication and broadcast module includes a communication equipment unit, a broadcast system unit, and an emergency information editing and sending unit.

[0013] Preferably, the data analysis and decision support module includes a data integration unit, a data analysis and mining unit, an early warning model optimization unit, and a decision suggestion generation unit.

[0014] A method for using a fire safety perception system with multi-directional parameter access comprises the following steps:

[0015] S1, start the intelligent environment perception module, collect environmental data such as smoke concentration and temperature through the high-precision sensor unit, and the data acquisition and processing unit preliminarily organizes these data. Then the fire prediction algorithm unit calculates the environmental risk index using the environmental risk assessment formula (E_risk) and shares the results with other modules;

[0016] S2, the electrical safety monitoring module starts working, the current / voltage monitoring unit and the leakage detection unit monitor the circuit status in real time. Once an abnormality is found, the data transmission and alarm unit immediately sends an alarm message to the data analysis and decision support module;

[0017] S3, the video fire and smoke recognition module starts the video acquisition unit, performs real-time analysis on the video image through the fire and smoke recognition algorithm unit, identifies flames and smoke, monitors early fires, and sends the results to the personnel positioning and evacuation guidance module;

[0018] S4, the personnel positioning and evacuation guidance module uses the positioning technology unit to track the personnel position in real time, combines the results of the video fireworks recognition module, provides the optimal evacuation path through the evacuation path planning unit, and displays it to relevant personnel through the personnel tracking and display unit;

[0019] S5, in an emergency, the intelligent access control module automatically unlocks the access control to ensure rapid evacuation of personnel. At the same time, the emergency communication and broadcasting module releases emergency information through the communication equipment unit and the broadcasting system unit to guide personnel to evacuate safely. The fire equipment status monitoring module monitors the status of fire equipment in real time and provides suggestions for equipment maintenance. The data analysis and decision support module integrates all data, provides decision support for the system, optimizes the early warning model, and generates decision suggestions.

[0020] In summary, compared with the prior art, the beneficial effects of the present invention are: it integrates an innovative intelligent environmental perception module, and through high-precision sensors and advanced fire prediction algorithms, it can monitor and comprehensively analyze multiple environmental parameters in real time to achieve more accurate fire risk assessment, which not only improves the accuracy and timeliness of fire warnings, but also through a comprehensive environmental risk assessment formula, further enhances the reliability and practicality of the warning, providing more comprehensive intelligent protection for fire safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1is a system structure diagram of the present invention;

[0022] Figure 2 It is a flow chart of the method of the present invention.

[0023] Legend:

[0024] 1. Intelligent environment perception module; 2. Electrical safety monitoring module; 3. Video fireworks recognition module; 4. Personnel positioning and evacuation guidance module; 5. Intelligent access control module; 6. Fire equipment status monitoring module; 7. Emergency communication and broadcasting module; 8. Decision support module. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1-2 , the present invention provides a technical solution:

[0027] A fire safety perception system with multi-directional parameter access includes an intelligent environment perception module 1, an electrical safety monitoring module 2, a video pyrotechnics recognition module 3, a personnel positioning and evacuation guidance module 4, an intelligent access control module 5, a fire equipment status monitoring module 6, an emergency communication and broadcasting module 7, and a data analysis and decision support module 8. The intelligent environment perception module 1 is used to monitor environmental parameters in real time, predict fire risks, and cooperate with the electrical safety monitoring module 2, the video pyrotechnics recognition module 3, and the data analysis and decision support module 8 to provide comprehensive fire warning information; the electrical safety monitoring module 2 is used to monitor circuit parameters, discover electrical fire hazards, and cooperate with the intelligent environment perception module 1 and the data analysis and decision support module 8 to provide electrical fire warnings; the video pyrotechnics recognition module 3 is used to identify flames and smoke through video images and monitor early fires; the personnel positioning and evacuation guidance module 4 is used to track personnel positions in real time and provide Evacuation route guidance, cooperates with the intelligent environment perception module 1, the video fireworks recognition module 3, the intelligent access control module 5, and the emergency communication and broadcasting module 7 to carry out dynamic evacuation guidance; the intelligent access control module 5 is used to automatically unlock the access control when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module 4 and the emergency communication and broadcasting module 7 to carry out rapid evacuation; the fire-fighting equipment status monitoring module 6 is used to monitor the status of the fire-fighting equipment in real time, and cooperates with the intelligent environment perception module 1 and the data analysis and decision support module 8 to provide fire-fighting equipment maintenance suggestions; the emergency communication and broadcasting module 7 is used to notify personnel to evacuate when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module 4, the intelligent access control module 5, and the data analysis and decision support module 8 to carry out emergency communication and evacuation guidance; the data analysis and decision support module 8 is used to integrate data, provide decision support, and cooperate with all modules to provide data analysis, early warning model optimization, and decision suggestions.

[0028] The intelligent environment perception module 1 includes a high-precision sensor unit, a data acquisition and processing unit, and a fire prediction algorithm unit. The comprehensive environmental risk assessment calculation formula is: E_risk = alpha*((S_current-S_base) / S_base)^2+beta*(log(1+(T_current-T_base) / T_scale))^2+gamma*Σ((G_i_current-G_i_base) / (G_i_max-G_i_min))^p+delta*exp(-((H_current-H_opt)^2) / (2*sigma^2)), where E_risk represents the environmental risk index, alpha, beta, gamma, delta is the weight coefficient, S_current, T_current, G_i_current, H_current respectively represent the current smoke concentration, temperature, other environmental parameters (such as humidity, gas concentration, etc., where i represents different parameters) and the monitoring values ​​of a special parameter (such as wind speed), S_base, T_base, G_i_base are the corresponding benchmark values, G_i_max, G_i_min respectively represent the maximum and minimum values ​​of the i-th environmental parameter, T_scale is a temperature scale factor, Σ represents the accumulation of contributions to all other environmental parameters, p is a nonlinear index used to adjust the nonlinearity of the square of the deviation, H_opt is the optimal value of the special parameter, sigma is the standard deviation, which is used to adjust the normal distribution characteristics of the impact of the special parameter on the risk index.

[0029] The electrical safety monitoring module 2 includes a current / voltage monitoring unit, a leakage detection unit, and a data transmission and alarm unit.

[0030] The video fireworks recognition module 3 includes a video acquisition unit, a fireworks recognition algorithm unit, and an image enhancement and processing unit.

[0031] The personnel positioning and evacuation guidance module 4 includes a positioning technology unit, an evacuation path planning unit, and a personnel tracking and display unit.

[0032] The intelligent access control module 5 includes an access control unit, an emergency unlocking unit, and a status monitoring and feedback unit.

[0033] The fire equipment status monitoring module 6 includes an equipment status monitoring unit, a data acquisition and transmission unit, and an equipment maintenance suggestion unit.

[0034] The emergency communication and broadcast module 7 includes a communication device unit, a broadcast system unit, and an emergency information editing and sending unit.

[0035] The data analysis and decision support module 8 includes a data integration unit, a data analysis and mining unit, an early warning model optimization unit, and a decision suggestion generation unit.

[0036] A method for using a fire safety perception system with multi-directional parameter access comprises the following steps:

[0037] S1, start the intelligent environment perception module 1, collect environmental data such as smoke concentration and temperature through the high-precision sensor unit, and the data acquisition and processing unit preliminarily organizes these data. Then the fire prediction algorithm unit calculates the environmental risk index using the environmental risk assessment formula (E_risk) and shares the results with other modules;

[0038] S2, the electrical safety monitoring module 2 starts working, the current / voltage monitoring unit and the leakage detection unit monitor the circuit status in real time, and once an abnormality is found, the data transmission and alarm unit immediately sends an alarm message to the data analysis and decision support module 8;

[0039] S3, the video fire and smoke recognition module 3 starts the video acquisition unit, performs real-time analysis on the video image through the fire and smoke recognition algorithm unit, identifies flames and smoke, monitors early fires, and sends the results to the personnel positioning and evacuation guidance module 4;

[0040] S4, the personnel positioning and evacuation guidance module 4 uses the positioning technology unit to track the personnel position in real time, combines the results of the video fireworks recognition module 3, provides the optimal evacuation path through the evacuation path planning unit, and displays it to relevant personnel through the personnel tracking and display unit;

[0041] S5, in an emergency, the intelligent access control module 5 automatically unlocks the access control to ensure the rapid evacuation of personnel. At the same time, the emergency communication and broadcasting module 7 releases emergency information through the communication equipment unit and the broadcasting system unit to guide personnel to evacuate safely. The fire equipment status monitoring module 6 monitors the status of fire equipment in real time and provides suggestions for equipment maintenance. The data analysis and decision support module 8 integrates all data, provides decision support for the system, optimizes the early warning model, and generates decision suggestions.

[0042] Working principle:

[0043] The fire safety perception system integrates multiple functional modules such as intelligent environmental perception, electrical safety monitoring, video fire and smoke recognition, personnel positioning and evacuation guidance, intelligent access control, fire equipment status monitoring, emergency communication and broadcasting, as well as data analysis and decision support. The intelligent environmental perception module 1 monitors environmental parameters such as smoke concentration, temperature, humidity and specific gas concentration in real time through a high-precision sensor unit, and is initially processed by the data acquisition and processing unit and then transmitted to the fire prediction algorithm unit. The unit uses a comprehensive environmental risk assessment formula to assess the fire risk and generate early warning information. The electrical safety monitoring module 2 monitors the current, voltage and leakage in the circuit. Once an abnormality is detected, it will immediately send the data analysis and decision support unit through the data transmission and alarm unit. The support module 8 sends an alarm and provides electrical fire warning together with the intelligent environment perception module 1. The video fire recognition module 3 captures the scene image through the video acquisition unit, and uses the fire recognition algorithm unit to identify flames and smoke to achieve early fire monitoring. The personnel positioning and evacuation guidance module 4 uses positioning technology to track the position of personnel, combines the information of the video fire recognition and intelligent access control module 5, dynamically plans the evacuation path, and issues evacuation instructions through the emergency communication and broadcasting module 7. The fire equipment status monitoring module 6 monitors the status of fire equipment in real time and provides data to the data analysis and decision support module 8 to formulate maintenance suggestions. The data analysis and decision support module 8 integrates the data of each module, optimizes the early warning model through data analysis and mining, and provides decision support;

[0044] Comprehensive environmental risk assessment calculation: Assume that in an office space, a comprehensive environmental risk assessment calculation formula is used to monitor fire risk. The weight coefficients (\alpha=0.3), (\beta=0.25), (\gamma=0.2), (\delta=0.25) are known. In terms of smoke concentration, at the current moment (S_{current}=0.05mg / m 3 ), the average smoke concentration in the same period of the past week (S_{base}=0.01mg / m 3), temperature, (T_{current}=30℃), historical average temperature for the same period (T_{base}=25℃), take (T_{scale}=5) (depending on the annual temperature fluctuation range of the office space), for harmful gases, taking carbon monoxide as an example, the current carbon monoxide concentration (G_{1,current}=5ppm), the normal environmental background carbon monoxide concentration (G_{1,base}=2ppm), the maximum carbon monoxide concentration (G_{1,max}=10ppm), the minimum value (G_{1,min}=0ppm), here (i=1), (p=2) (after multiple simulation tests, it was determined that this value is suitable for highlighting the impact of harmful gas concentration deviation in this scenario), wind speed as a special parameter, current wind speed (H_{current}=3m / s), the optimal wind speed in the office area (H_{opt}=2m / s), standard deviation (\sigma=0.5). Substituting these values ​​into the formula, we get: (E_{risk}=0.3×((0.05-0.01) / 0.01)^2+0.25×(log(1+(30-25) / 5))^2+0.2×((5-2) / (10-0))^2+0.25×exp(-((3-2)^2) / (2×0.5^2))=0.3×(4)^2+0.25×(log(2))^2+0.2×(0.3)^2+0.25×exp(-2)=0.3 ×16+0.25×0.301^2+0.2×0.09+0.25×0.135=4.8+0.0226+0.018+0.03375=4.87435), which means the current environmental risk index of the office is (4.87435). The system compares this value with the preset threshold to determine whether to trigger subsequent operations such as early warning. In actual application, it is necessary to continuously optimize parameters such as weight coefficients and various benchmark values ​​based on the characteristics of different places and historical data to ensure that the formula accurately reflects the fire risk.

[0045] The fire safety perception system integrates multiple modules such as intelligent environmental perception, electrical safety monitoring, video smoke and fire recognition, personnel positioning and evacuation guidance, intelligent access control, fire equipment status monitoring, emergency communication and broadcasting, as well as data analysis and decision support. Through multi-directional parameter access, it can achieve comprehensive fire warning, real-time monitoring and rapid response.

[0046] It also integrates an innovative intelligent environmental perception module1, which can monitor and comprehensively analyze multiple environmental parameters in real time through high-precision sensors and advanced fire prediction algorithms, and achieve more accurate fire risk assessment. It not only improves the accuracy and timeliness of fire warnings, but also further enhances the reliability and practicality of warnings through comprehensive environmental risk assessment formulas, providing more comprehensive intelligent protection for fire safety.

[0047] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A fire safety perception system with multi-directional parameter access, comprising an intelligent environment perception module (1), an electrical safety monitoring module (2), a video fire and smoke recognition module (3), a personnel positioning and evacuation guidance module (4), an intelligent access control module (5), a fire equipment status monitoring module (6), an emergency communication and broadcasting module (7), and a data analysis and decision support module (8), characterized in that: The intelligent environment perception module (1) is used to monitor environmental parameters in real time, predict fire risks, and cooperate with the electrical safety monitoring module (2), the video fire and smoke recognition module (3), and the data analysis and decision support module (8) to provide comprehensive fire warning information; the electrical safety monitoring module (2) is used to monitor circuit parameters, discover electrical fire hazards, and cooperate with the intelligent environment perception module (1) and the data analysis and decision support module (8) to provide electrical fire warnings; the video fire and smoke recognition module (3) is used to identify flames and smoke through video images and monitor early fires; the personnel positioning and evacuation guidance module (4) is used to track personnel positions in real time, provide evacuation route guidance, and cooperate with the intelligent environment perception module (1), the video fire and smoke recognition module (3), the intelligent access control module (5), and the emergency communication and broadcasting module (7) to dynamically Evacuation guidance; the intelligent access control module (5) is used to automatically unlock the access control when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module (4) and the emergency communication and broadcasting module (7) to perform rapid evacuation; the fire equipment status monitoring module (6) is used to monitor the status of the fire equipment in real time, and cooperates with the intelligent environment perception module (1) and the data analysis and decision support module (8) to provide fire equipment maintenance suggestions; the emergency communication and broadcasting module (7) is used to notify personnel to evacuate when a fire occurs, and cooperates with the personnel positioning and evacuation guidance module (4), the intelligent access control module (5), and the data analysis and decision support module (8) to perform emergency communication and evacuation guidance; the data analysis and decision support module (8) is used to integrate data, provide decision support, and cooperate with all modules to provide data analysis, early warning model optimization, and decision suggestions.

2. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The intelligent environment perception module (1) comprises a high-precision sensor unit, a data acquisition and processing unit, and a fire prediction algorithm unit. The comprehensive environmental risk assessment calculation formula is: E_risk=alpha*((S_current-S_base) / S_base)^2+beta*(log(1+(T_current-T_base) / T_scale))^2+gamma*Σ((G_i_current-G_i_base) / (G_i_max-G_i_min))^p+delta*exp(-((H_current-H_opt)^2) / (2*sigma^2)), wherein E_risk represents an environmental risk index, alpha, beta, gamma, delta is the weight coefficient, S_current, T_current, G_i_current, H_current respectively represent the current smoke concentration, temperature, other environmental parameters (such as humidity, gas concentration, etc., where i represents different parameters) and the monitoring value of a special parameter, S_base, T_base, G_i_base are the corresponding benchmark values, G_i_max, G_i_min respectively represent the maximum and minimum values ​​of the i-th environmental parameter, T_scale is a temperature scale factor, Σ represents the accumulation of contributions to all other environmental parameters, p is a nonlinear index used to adjust the nonlinearity of the square of the deviation, H_opt is the optimal value of the special parameter, sigma is the standard deviation, which is used to adjust the normal distribution characteristics of the impact of the special parameter on the risk index.

3. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The electrical safety monitoring module (2) comprises a current / voltage monitoring unit, a leakage detection unit, and a data transmission and alarm unit.

4. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The video fireworks recognition module (3) comprises a video acquisition unit, a fireworks recognition algorithm unit, and an image enhancement and processing unit.

5. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The personnel positioning and evacuation guidance module (4) comprises a positioning technology unit, an evacuation route planning unit, and a personnel tracking and display unit.

6. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The intelligent access control module (5) comprises an access control unit, an emergency unlocking unit, and a status monitoring and feedback unit.

7. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The fire-fighting equipment status monitoring module (6) comprises an equipment status monitoring unit, a data collection and transmission unit, and an equipment maintenance suggestion unit.

8. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The emergency communication and broadcast module (7) comprises a communication device unit, a broadcast system unit, and an emergency information editing and sending unit.

9. A fire safety perception system with multi-directional parameter access according to claim 1, characterized in that: The data analysis and decision support module (8) comprises a data integration unit, a data analysis and mining unit, an early warning model optimization unit, and a decision suggestion generation unit.

10. A method for using the fire safety perception system with multi-directional parameter access according to any one of claims 1 to 9, characterized in that: The steps include: S1, start the intelligent environment perception module (1), collect environmental data such as smoke concentration and temperature through the high-precision sensor unit, and the data acquisition and processing unit preliminarily organizes the data. Then the fire prediction algorithm unit calculates the environmental risk index using the environmental risk assessment formula (E_risk) and shares the result with other modules; S2, the electrical safety monitoring module (2) starts working, the current / voltage monitoring unit and the leakage detection unit monitor the circuit status in real time, and once an abnormality is found, the data transmission and alarm unit immediately sends an alarm message to the data analysis and decision support module (8); S3, the video fire and smoke recognition module (3) starts the video acquisition unit, performs real-time analysis on the video image through the fire and smoke recognition algorithm unit, identifies flames and smoke, monitors early fires, and sends the results to the personnel positioning and evacuation guidance module (4); S4, the personnel positioning and evacuation guidance module (4) uses the positioning technology unit to track the personnel position in real time, combines the result of the video fireworks recognition module (3), provides the optimal evacuation path through the evacuation path planning unit, and displays it to the relevant personnel through the personnel tracking and display unit; S5. In an emergency, the intelligent access control module (5) automatically unlocks the access control to ensure rapid evacuation of personnel. At the same time, the emergency communication and broadcasting module (7) releases emergency information through the communication equipment unit and the broadcasting system unit to guide personnel to evacuate safely. The fire equipment status monitoring module (6) monitors the status of fire equipment in real time and provides suggestions for equipment maintenance. The data analysis and decision support module (8) integrates all data, provides decision support for the system, optimizes the early warning model, and generates decision suggestions.

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