An intelligent monitoring system for electrical fire early warning and flame extinguishing

Abstract

The invention relates to the field of electrical fire warning, and discloses an intelligent monitoring system for electrical fire warning and flame extinguishing. The system collects electrical information data at different positions of electrical equipment and lines through sensors, analyzes the collected sub-area electrical information data and environmental data, thereby judging whether a fire occurs in each data collection sub-area, locates the location of the fire according to the received judgment result, and automatically issues a fire warning signal. After the warning signal is issued, the flame extinguishing condition is analyzed, and the flame extinguishing rule is automatically triggered according to the analysis result that meets the flame extinguishing condition, and the flame extinguishing operation is executed. At the same time, the fire warning fault and the flame extinguishing execution fault are detected and processed in real time. Finally, the flame extinguishing execution state is monitored in real time, which is conducive to accurately judging the occurrence of fire, and timely issuing a warning signal at the early stage of the fire, and effectively preventing the spread of fire caused by slow fire extinguishing reaction speed or fault.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical fire early warning, and more specifically to an intelligent monitoring system for electrical fire early warning and flame extinguishing. Background Art

[0002] With the rapid development of economic construction, the electricity consumption in production and life has increased significantly, and electrical fires have also increased dramatically. Traditional fire monitoring methods mainly rely on fire detectors, which will only send out alarm signals when a fire has occurred and has obvious characteristics. There are obvious deficiencies in the early warning and prevention of electrical fires. It is impossible to detect the failure and abnormal state of electrical equipment in advance, and thus it is impossible to effectively prevent the occurrence of electrical fires. Therefore, the electrical fire monitoring system came into being. By real-time monitoring of the residual current, over-line current and temperature abnormalities of electrical lines, hidden dangers can be discovered in time and alarm signals can be sent out.

[0003] However, the above process still has the following disadvantages:

[0004] First, the existing electrical fire monitoring system lacks the ability to divide data collection into sub-areas to analyze electrical data separately. This can lead to inaccurate data due to unclear area division or insufficient sensor accuracy, and it is impossible to accurately identify the location of electrical faults and fire hazards.

[0005] Second, existing electrical fire monitoring systems may cause false alarms or missed alarms due to reliance on a single data source or inaccurate judgment algorithms, and may fail to detect slow response or faults in a timely manner, thus delaying the opportunity to extinguish the fire. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides an intelligent monitoring system for early warning and flame extinguishing of electrical fires to solve the problems existing in the above-mentioned background technology.

[0007] The present invention provides the following technical solution: an intelligent monitoring system for early warning and flame extinguishing of electrical fires, comprising:

[0008] Electrical data acquisition module: by installing sensors at different positions of electrical equipment and lines, and then dividing them into multiple data acquisition sub-areas according to the positions of the sensors, real-time monitoring and acquisition of electrical information data of each sub-area, the electrical information data includes electrical equipment data and line operation data, and at the same time, the acquired sub-area electrical information data is transmitted to the data analysis module;

[0009] Data analysis module: pre-processes and analyzes the collected sub-area electrical information data, calculates the sub-area electrical risk monitoring index, and transmits the calculated sub-area electrical risk monitoring index to the fire judgment module;

[0010] Environmental monitoring module: Use temperature sensors and smoke sensors to monitor the temperature and CO concentration of electrical equipment and lines in real time, conduct a comprehensive analysis of changes in temperature and CO concentration, obtain the sub-region environmental risk monitoring index, and transmit the sub-region environmental risk monitoring index to the fire judgment module;

[0011] Fire judgment module: Perform fire warning analysis through the sub-region electrical risk monitoring index and the sub-region environmental risk monitoring index to obtain the sub-region fire risk assessment coefficient, judge whether a fire has occurred in each data collection sub-region based on the sub-region fire risk assessment coefficient, and transmit the judgment result to the trigger alarm module;

[0012] Trigger alarm module: used to send out fire warning signals. When receiving the judgment result, it locates the location of the fire, automatically sends out fire warning signals, and generates flame extinguishing instructions to be transmitted to the flame extinguishing judgment module;

[0013] Flame extinguishing judgment module: after the early warning signal is issued, it analyzes whether the flame extinguishing conditions are met and calculates the flame extinguishing trigger coefficient. It judges whether the flame extinguishing conditions are met by the flame extinguishing trigger coefficient. When it is judged that the flame extinguishing conditions are met, it automatically generates a flame extinguishing execution instruction and transmits it to the flame extinguishing execution module;

[0014] Flame extinguishing execution module: automatically triggers the flame extinguishing rules according to the received flame extinguishing execution instructions and executes the flame extinguishing operation;

[0015] Fault processing module: used for real-time detection and processing of fire warning faults and flame extinguishing execution faults, including a fire warning fault processing unit and a flame extinguishing execution fault processing unit;

[0016] Status monitoring module: monitors the flame extinguishing execution status in real time and feeds back the status monitoring results to the safety personnel terminal in real time.

[0017] Preferably, the electrical data acquisition module installs sensors at distribution boxes, transformers and cable connectors to monitor and collect electrical equipment data and line operation data near each sensor installed on the electrical equipment and lines in real time, and then divides the electrical information data into multiple data acquisition sub-areas based on the location of each sensor, and number them 1, 2, ..., i, ..., n respectively, and transmits the electrical equipment data and line operation data collected by the sensors to a computer terminal via wireless communication transmission. The sensors include current sensors, voltage sensors, temperature sensors and smoke sensors.

[0018] Preferably, the data analysis module preprocesses the sub-region electrical information data including data cleaning, data conversion and data integration, and then analyzes the preprocessed sub-region electrical information data to calculate the sub-region electrical risk monitoring index as follows:

[0019]

[0020] Among them, I ij represents the j-th measured current value of the i-th sub-region, represents the average current measured in the i-th sub-area, represents the standard deviation of the current measured in the i-th sub-area, I i漏 represents the leakage current value measured in the i-th sub-area, I i额 represents the rated current value measured in the i-th sub-area, α1 and α2 are weight coefficients, and m represents the total number of times the current value is measured in the i-th sub-area.

[0021] Preferably, the environmental monitoring module monitors and collects the temperature of the data collection sub-area in real time through a temperature sensor, monitors and collects the CO concentration of the data collection sub-area in real time through a smoke sensor, and analyzes the temperature and CO concentration changes of the data collection sub-area, and calculates the formula of the sub-area environmental risk monitoring index as follows:

[0022]

[0023] Among them, T i represents the currently monitored temperature of the ith sub-area, T0 represents the normal ambient temperature, ΔT represents the preset temperature change threshold, C i represents the CO concentration currently monitored in the i-th sub-area, C0 represents the normal CO concentration in the environment, ΔC represents the preset CO concentration change threshold, k1 represents the probability coefficient of fire caused by temperature, k2 represents the probability coefficient of fire caused by CO concentration change, and e represents a constant.

[0024] Preferably, the fire judgment module calculates the sub-area electrical risk monitoring index A of each data collection sub-area. i and sub-regional environmental risk monitoring index P i Analysis is performed to determine whether to issue a fire warning. The formula for calculating the sub-area fire risk assessment coefficient is as follows:

[0025] D i =ln(A i +1)×P i 3

[0026] By calculating the fire risk assessment factor D of the sub-area i It is compared with the preset fire risk threshold λ1 to determine whether there is a fire risk in the data collection sub-area. i ≤λ1, indicating that the data collection sub-area is in a low risk state of fire, and monitoring continues. i>λ1, indicating that a fire is judged to occur in the data collection sub-area, and the fire occurrence judgment result is immediately transmitted to the trigger alarm module.

[0027] Preferably, the trigger alarm module determines the data acquisition sub-area where the fire is located based on the spatial distribution position of the sensor. When the data acquisition sub-area where the fire is located is determined, a warning signal is automatically generated and a fire alarm and the determined data acquisition sub-area number are immediately broadcast, and a flame extinguishing instruction is transmitted to the flame extinguishing judgment module.

[0028] Preferably, the flame extinguishing judgment module performs flame extinguishing condition analysis on the data acquisition sub-area where the fire is located, and the flame extinguishing trigger coefficient is analyzed in the following manner:

[0029] Step S611: Analyze and calculate the calculation formula of the warning signal strength F=a1×d+a2×h+a3×r, where d represents the flame temperature, h represents the smoke density, r represents the flame coverage area, and a1, a2, and a3 are weight coefficients;

[0030] Step S612: Determine the fire intensity K through the sensor. If the flame temperature is lower than the set temperature threshold, K=1; if the flame temperature is higher than the set temperature threshold, K=0; determine the fire source S through the sensor. If the fire source type is easy to extinguish and there is no combustible material near the fire source, S=1; otherwise, S=0; determine the state of the fire extinguishing device L through the built-in sensor of the device. If the fire extinguishing device is in normal working state, L=1; otherwise, L=0;

[0031] Step S613: Calculate the flame extinguishing trigger coefficient as If the flame extinguishing trigger coefficient M≥the preset trigger threshold λ2, it is judged that the flame extinguishing condition is met and a flame extinguishing execution instruction is immediately issued. If the flame extinguishing trigger coefficient M<the preset trigger threshold λ2, the fire continues to be monitored.

[0032] Preferably, the flame extinguishing execution module executes the flame extinguishing operation process including automatically cutting off the relevant power supply, starting the fire extinguishing equipment, and automatically sending a fire alarm notification to the fire department and security personnel, while starting the emergency evacuation procedure and guiding people to evacuate through broadcasting.

[0033] Preferably, the fault processing module detects and processes the failure of the fire warning signal not being broadcasted by the fire warning fault processing unit, and calculates the warning time deviation value. t 实 Indicates the actual fire warning broadcast time, t 预Indicates the preset fire warning broadcast time, compares the warning time deviation coefficient t′ with the warning time deviation threshold λ3 to determine whether the fire warning is successfully broadcast, thereby detecting fire warning failure. If the warning time deviation coefficient t′>the warning time deviation threshold λ3, it is determined that a fire warning failure occurs, and the monitoring system should start the backup plan and sound an alarm. If the warning time deviation coefficient t′≤the warning time deviation threshold λ3, it is determined that the fire warning is successfully broadcast and no fault processing is required; the flame extinguishing execution fault processing unit detects and processes the flame extinguishing failure, and calculates the execution time deviation value t″=t′ 实 -t′ 预 , t′ 实 Indicates the actual flame extinguishing execution time, t′ 预 It indicates the scheduled flame extinguishing execution time. If the execution time deviation coefficient t″>execution time deviation threshold λ4, it is determined that a flame extinguishing execution failure occurs, and a manual intervention signal is immediately issued to notify the safety personnel. If the execution time deviation coefficient t″≤execution time deviation threshold λ4, it is determined that the flame extinguishing operation is successfully executed and no fault handling is required.

[0034] Preferably, the status monitoring module monitors the flame extinguishing execution status of the data collection sub-area where the fire is located in real time through sensors, and generates a status monitoring report to feed back to the security personnel terminal.

[0035] Technical effects and advantages of the present invention:

[0036] The present invention collects electrical information data at different positions of electrical equipment and lines through sensors, analyzes the collected electrical information data and environmental data of sub-areas, thereby judging whether a fire occurs in each data collection sub-area, locates the location of the fire according to the received judgment result, and automatically issues a fire warning signal. After the warning signal is issued, the flame extinguishing condition is analyzed, and the analysis result satisfying the flame extinguishing condition is transmitted to the flame extinguishing execution module, and then the flame extinguishing rule is automatically triggered according to the received flame extinguishing execution instruction, and the flame extinguishing operation is executed. The fire warning fault and the flame extinguishing execution fault are detected and processed in real time through the fault processing module. Finally, the flame extinguishing execution state is monitored in real time, and the state monitoring result is fed back to the safety personnel terminal in real time. By dividing the data collection sub-areas, the electrical data can be collected more accurately, data confusion and false alarm can be avoided, and the location of the electrical fault and the fire hazard can be identified more accurately. By real-time monitoring of parameters such as temperature, smoke, carbon monoxide in the environment, comprehensive environmental monitoring data is provided, which is conducive to accurately judging the occurrence of fire, and timely issuing a warning signal at the early stage of the fire. At the same time, the slow reaction speed or the generation of the fault can be detected in time for feedback, and the spread of the fire caused by the slow fire extinguishing reaction speed or the fault can be effectively prevented. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a flow chart of an intelligent monitoring system for early warning and flame extinguishing of electrical fires according to the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The intelligent monitoring system for electrical fire warning and flame extinguishing involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0039] like Figure 1 The embodiment shown provides an intelligent monitoring system for electrical fire early warning and flame extinguishing, including:

[0040] Electrical data acquisition module: By installing sensors at different positions of electrical equipment and lines, and then dividing them into multiple data acquisition sub-areas according to the positions of the sensors, the electrical information data of each sub-area is monitored and collected in real time. The electrical information data includes electrical equipment data and line operation data. At the same time, the collected sub-area electrical information data is transmitted to the data analysis module.

[0041] In this embodiment, the electrical data acquisition module installs sensors at the locations of distribution boxes, transformers and cable connectors to monitor and collect electrical equipment data and line operation data near each sensor installed on the electrical equipment and lines in real time, and then divides the electrical information data into multiple data acquisition sub-areas based on the location of each sensor, and number them 1, 2, ..., i, ..., n respectively, and transmits the electrical equipment data and line operation data collected by the sensors to the computer terminal via wireless communication transmission. The sensors include current sensors, voltage sensors, temperature sensors and smoke sensors.

[0042] Data analysis module: pre-processes and analyzes the collected sub-area electrical information data, calculates the sub-area electrical risk monitoring index, and transmits the calculated sub-area electrical risk monitoring index to the fire judgment module.

[0043] In this embodiment, the data analysis module preprocesses the sub-region electrical information data including data cleaning, data conversion and data integration, and then analyzes the preprocessed sub-region electrical information data to calculate the sub-region electrical risk monitoring index as follows:

[0044]

[0045] Among them, I ijrepresents the j-th measured current value of the i-th sub-region, represents the average current measured in the i-th sub-area, represents the standard deviation of the current measured in the i-th sub-area, I i漏 represents the leakage current value measured in the i-th sub-area, I i额 represents the rated current value measured in the i-th sub-area, α1 and α2 are weight coefficients, and m represents the total number of times the current value is measured in the i-th sub-area.

[0046] It should be noted that the calculation formula for the average current measured in the i-th sub-area is

[0047]

[0048] The calculation formula for the current standard deviation measured in the i-th sub-area is

[0049] Environmental monitoring module: Use temperature sensors and smoke sensors to monitor the temperature and CO concentration of electrical equipment and lines in real time during operation, conduct a comprehensive analysis of changes in temperature and CO concentration, obtain the sub-area environmental risk monitoring index, and transmit the sub-area environmental risk monitoring index to the fire judgment module.

[0050] In this embodiment, the environmental monitoring module monitors and collects the temperature of the data collection sub-area in real time through the temperature sensor, monitors and collects the CO concentration of the data collection sub-area in real time through the smoke sensor, and analyzes the temperature and CO concentration changes in the data collection sub-area, and calculates the formula of the sub-area environmental risk monitoring index as follows:

[0051]

[0052] Among them, T i represents the currently monitored temperature of the ith sub-area, T0 represents the normal ambient temperature, ΔT represents the preset temperature change threshold, C i represents the CO concentration currently monitored in the i-th sub-area, C0 represents the normal CO concentration in the environment, ΔC represents the preset CO concentration change threshold, k1 represents the probability coefficient of fire caused by temperature, k2 represents the probability coefficient of fire caused by CO concentration change, and e represents a constant.

[0053] It should be specifically noted that the calculation formula for the probability coefficient of temperature causing fire is Y represents the indicator variable of fire occurrence (Y = 1 means fire occurs, Y = 0 means fire does not occur), Y q represents the fire occurrence indicator variable of the qth observation, X q represents the temperature change of the qth observation, and X = T-T0-ΔT, μ represents the mean of the indicator variable of fire occurrence;

[0054] Calculation formula for the probability coefficient of fire caused by CO concentration changes Z q represents the qth observed CO concentration change, and Z = C-C0-ΔC.

[0055] Fire judgment module: Perform fire warning analysis through the sub-area electrical risk monitoring index and the sub-area environmental risk monitoring index to obtain the sub-area fire risk assessment coefficient. According to the sub-area fire risk assessment coefficient, it is judged whether a fire has occurred in each data collection sub-area, and the judgment result is transmitted to the trigger alarm module.

[0056] In this embodiment, the fire judgment module calculates the sub-area electrical risk monitoring index A of each data collection sub-area. i and sub-regional environmental risk monitoring index P i Analysis is performed to determine whether to issue a fire warning. The formula for calculating the sub-area fire risk assessment coefficient is as follows:

[0057] D i =ln(A i +1)×P i 3

[0058] By calculating the fire risk assessment factor D of the sub-area i It is compared with the preset fire risk threshold λ1 to determine whether there is a fire risk in the data collection sub-area. i ≤λ1, indicating that the data collection sub-area is in a low risk state of fire, and monitoring continues. i >λ1, indicating that a fire is judged to occur in the data collection sub-area, and the fire occurrence judgment result is immediately transmitted to the trigger alarm module.

[0059] Trigger alarm module: used to send out fire warning signals. When receiving the judgment result, it locates the location of the fire, automatically sends out a fire warning signal, and generates a flame extinguishing command to transmit to the flame extinguishing judgment module.

[0060] In this embodiment, the trigger alarm module determines the data acquisition sub-area where the fire is located based on the spatial distribution position of the sensor. When the data acquisition sub-area where the fire is located is determined, a warning signal is automatically generated and the fire alarm and the determined data acquisition sub-area number are immediately broadcast, and a flame extinguishing instruction is transmitted to the flame extinguishing judgment module.

[0061] Flame extinguishing judgment module: after issuing the warning signal, it analyzes whether the flame extinguishing conditions are met and calculates the flame extinguishing trigger coefficient. It judges whether the flame extinguishing conditions are met by the flame extinguishing trigger coefficient. When it is judged that the flame extinguishing conditions are met, it automatically generates a flame extinguishing execution instruction and transmits it to the flame extinguishing execution module.

[0062] In this embodiment, the flame extinguishing judgment module performs flame extinguishing condition analysis on the data collection sub-area where the fire is located, and the flame extinguishing trigger coefficient is analyzed in the following manner:

[0063] Step S611: Analyze and calculate the calculation formula of the warning signal strength F=a1×d+a2×h+a3×r, where d represents the flame temperature, h represents the smoke density, r represents the flame coverage area, and a1, a2, and a3 are weight coefficients;

[0064] Step S612: Determine the fire intensity K through the sensor. If the flame temperature is lower than the set temperature threshold, K=1; if the flame temperature is higher than the set temperature threshold, K=0; determine the fire source S through the sensor. If the fire source type is easy to extinguish and there is no combustible material near the fire source, S=1; otherwise, S=0; determine the state of the fire extinguishing device L through the built-in sensor of the device. If the fire extinguishing device is in normal working state, L=1; otherwise, L=0;

[0065] Step S613: Calculate the flame extinguishing trigger coefficient as If the flame extinguishing trigger coefficient M≥the preset trigger threshold λ2, it is judged that the flame extinguishing condition is met and a flame extinguishing execution instruction is immediately issued. If the flame extinguishing trigger coefficient M<the preset trigger threshold λ2, the fire continues to be monitored.

[0066] Flame extinguishing execution module: automatically triggers the flame extinguishing rules according to the received flame extinguishing execution instructions and executes the flame extinguishing operation.

[0067] In this embodiment, the flame extinguishing execution module executes the flame extinguishing operation process including automatically cutting off the relevant power supply, starting the fire extinguishing equipment, and automatically sending a fire alarm notification to the fire department and security personnel, while starting the emergency evacuation procedure and guiding people to evacuate through broadcasting.

[0068] Fault processing module: used for real-time detection and processing of fire warning faults and flame extinguishing execution faults, including a fire warning fault processing unit and a flame extinguishing execution fault processing unit.

[0069] In this embodiment, the fault processing module detects and processes the failure of the fire warning signal not being broadcasted by the fire warning fault processing unit, and calculates the warning time deviation value. t 实 Indicates the actual fire warning broadcast time, t 预Indicates the preset fire warning broadcast time, compares the warning time deviation coefficient t′ with the warning time deviation threshold λ3 to determine whether the fire warning is successfully broadcast, thereby detecting fire warning failure. If the warning time deviation coefficient t′>the warning time deviation threshold λ3, it is determined that a fire warning failure occurs, and the monitoring system should start the backup plan and sound an alarm. If the warning time deviation coefficient t′≤the warning time deviation threshold λ3, it is determined that the fire warning is successfully broadcast and no fault processing is required; the flame extinguishing execution fault processing unit detects and processes the flame extinguishing failure, and calculates the execution time deviation value t″=t′ 实 -t′ 预 , t′ 实 Indicates the actual flame extinguishing execution time, t′ 预 It indicates the scheduled flame extinguishing execution time. If the execution time deviation coefficient t″>execution time deviation threshold λ4, it is determined that a flame extinguishing execution failure occurs, and a manual intervention signal is immediately issued to notify the safety personnel. If the execution time deviation coefficient t″≤execution time deviation threshold λ4, it is determined that the flame extinguishing operation is successfully executed and no fault handling is required.

[0070] Status monitoring module: monitors the flame extinguishing execution status in real time and feeds back the status monitoring results to the safety personnel terminal in real time.

[0071] In this embodiment, the state monitoring module monitors the flame extinguishing execution state of the data collection sub-area where the fire is located in real time through sensors, and generates a state monitoring report to feed back to the security personnel terminal.

[0072] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0073] 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 intelligent monitoring system for early warning and flame extinguishing of electrical fires, characterized by: include: Electrical data acquisition module: by installing sensors at different positions of electrical equipment and lines, and then dividing them into multiple data acquisition sub-areas according to the positions of the sensors, real-time monitoring and acquisition of electrical information data of each sub-area, the electrical information data includes electrical equipment data and line operation data, and at the same time, the acquired sub-area electrical information data is transmitted to the data analysis module; Data analysis module: pre-processes and analyzes the collected sub-area electrical information data, calculates the sub-area electrical risk monitoring index, and transmits the calculated sub-area electrical risk monitoring index to the fire judgment module; Environmental monitoring module: Use temperature sensors and smoke sensors to monitor the temperature and CO concentration of electrical equipment and lines in real time, conduct a comprehensive analysis of changes in temperature and CO concentration, obtain the sub-region environmental risk monitoring index, and transmit the sub-region environmental risk monitoring index to the fire judgment module; Fire judgment module: Perform fire warning analysis through the sub-region electrical risk monitoring index and the sub-region environmental risk monitoring index to obtain the sub-region fire risk assessment coefficient, judge whether a fire has occurred in each data collection sub-region based on the sub-region fire risk assessment coefficient, and transmit the judgment result to the trigger alarm module; Trigger alarm module: used to send out fire warning signals. When receiving the judgment result, it locates the location of the fire, automatically sends out fire warning signals, and generates flame extinguishing instructions to be transmitted to the flame extinguishing judgment module; Flame extinguishing judgment module: after the early warning signal is issued, it analyzes whether the flame extinguishing conditions are met and calculates the flame extinguishing trigger coefficient. It judges whether the flame extinguishing conditions are met by the flame extinguishing trigger coefficient. When it is judged that the flame extinguishing conditions are met, it automatically generates a flame extinguishing execution instruction and transmits it to the flame extinguishing execution module; Flame extinguishing execution module: automatically triggers the flame extinguishing rules according to the received flame extinguishing execution instructions and executes the flame extinguishing operation; Fault processing module: used for real-time detection and processing of fire warning faults and flame extinguishing execution faults, including a fire warning fault processing unit and a flame extinguishing execution fault processing unit; Status monitoring module: monitors the flame extinguishing execution status in real time and feeds back the status monitoring results to the safety personnel terminal in real time.

2. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1 is characterized in that: The electrical data acquisition module installs sensors at distribution boxes, transformers and cable connectors to monitor and collect electrical equipment data and line operation data near each sensor installed on the electrical equipment and lines in real time, and then divides the electrical information data into multiple data acquisition sub-areas based on the location of each sensor, and number them 1, 2, ..., i, ..., n respectively, and transmits the electrical equipment data and line operation data collected by the sensors to a computer terminal via wireless communication transmission. The sensors include current sensors, voltage sensors, temperature sensors and smoke sensors.

3. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1 is characterized in that: The data analysis module preprocesses the sub-region electrical information data including data cleaning, data conversion and data integration, and then analyzes the preprocessed sub-region electrical information data to calculate the sub-region electrical risk monitoring index as follows: Among them, I ij represents the j-th measured current value of the i-th sub-region, represents the average current measured in the i-th sub-area, represents the standard deviation of the current measured in the i-th sub-area, I i漏 represents the leakage current value measured in the i-th sub-area, I i额 represents the rated current value measured in the i-th sub-area, α1 and α2 are weight coefficients, and m represents the total number of times the current value is measured in the i-th sub-area.

4. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1 is characterized in that: The environmental monitoring module uses a temperature sensor to monitor and collect the temperature of the data collection sub-area in real time, and a smoke sensor to monitor and collect the CO concentration of the data collection sub-area in real time, and analyzes the changes in the temperature and CO concentration of the data collection sub-area, and calculates the formula for the sub-area environmental risk monitoring index as follows: Among them, T i represents the currently monitored temperature of the ith sub-area, T0 represents the normal ambient temperature, ΔT represents the preset temperature change threshold, C i represents the CO concentration currently monitored in the i-th sub-area, C0 represents the normal CO concentration in the environment, ΔC represents the preset CO concentration change threshold, k1 represents the probability coefficient of fire caused by temperature, k2 represents the probability coefficient of fire caused by CO concentration change, and e represents a constant.

5. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1 is characterized in that: The fire judgment module calculates the electrical risk monitoring index A of each data collection sub-area. i and sub-regional environmental risk monitoring index P i Analysis is performed to determine whether to issue a fire warning. The formula for calculating the sub-area fire risk assessment coefficient is as follows: By calculating the fire risk assessment factor D of the sub-area i It is compared with the preset fire risk threshold λ1 to determine whether there is a fire risk in the data collection sub-area. i ≤λ1, indicating that the data collection sub-area is in a low risk state of fire, and monitoring continues. i >λ1, indicating that a fire is judged to occur in the data collection sub-area, and the fire occurrence judgment result is immediately transmitted to the trigger alarm module.

6. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1, characterized in that: The trigger alarm module determines the data acquisition sub-area where the fire is located according to the spatial distribution position of the sensor. When the data acquisition sub-area where the fire is located is determined, it automatically generates a warning signal and immediately broadcasts the fire alarm and the determined data acquisition sub-area number, and transmits a flame extinguishing instruction to the flame extinguishing judgment module.

7. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1 is characterized in that: The flame extinguishing judgment module analyzes the flame extinguishing conditions of the data acquisition sub-area where the fire is located, and the flame extinguishing trigger coefficient is analyzed in the following manner: Step S611: Analyze and calculate the calculation formula of the warning signal strength F=a1×d+a2×h+a3×r, where d represents the flame temperature, h represents the smoke density, r represents the flame coverage area, and a1, a2, and a3 are weight coefficients; Step S612: Determine the fire intensity K through the sensor. If the flame temperature is lower than the set temperature threshold, K=1; if the flame temperature is higher than the set temperature threshold, K=0; determine the fire source S through the sensor. If the fire source type is easy to extinguish and there is no combustible material near the fire source, S=1; otherwise, S=0; determine the state of the fire extinguishing device L through the built-in sensor of the device. If the fire extinguishing device is in normal working state, L=1; otherwise, L=0; Step S613: Calculate the flame extinguishing trigger coefficient as If the flame extinguishing trigger coefficient M≥the preset trigger threshold λ2, it is judged that the flame extinguishing condition is met and a flame extinguishing execution instruction is immediately issued. If the flame extinguishing trigger coefficient M<the preset trigger threshold λ2, the fire continues to be monitored.

8. The intelligent monitoring system for early warning and flame extinguishing of electrical fires according to claim 1, characterized in that: The flame extinguishing execution module executes the flame extinguishing operation process including automatically cutting off the relevant power supply, starting the fire extinguishing equipment, and automatically sending a fire alarm notification to the fire department and security personnel, while starting the emergency evacuation procedure and guiding people to evacuate through broadcasting.

9. The intelligent monitoring system for early warning and flame extinguishing of electrical fires according to claim 1, characterized in that: The fault processing module detects and processes the failure of the fire warning signal not being broadcast by the fire warning fault processing unit, and calculates the warning time deviation value. t 实 Indicates the actual fire warning broadcast time, t 预 Indicates the preset fire warning broadcast time, compares the warning time deviation coefficient t′ with the warning time deviation threshold λ3 to determine whether the fire warning is successfully broadcast, thereby detecting fire warning failure. If the warning time deviation coefficient t′>the warning time deviation threshold λ3, it is determined that a fire warning failure occurs, and the monitoring system should start the backup plan and sound an alarm. If the warning time deviation coefficient t′≤the warning time deviation threshold λ3, it is determined that the fire warning is successfully broadcast and no fault processing is required; the flame extinguishing execution fault processing unit detects and processes the flame extinguishing failure, and calculates the execution time deviation value t″=t′ 实 -t′ 预 , t′ 实 Indicates the actual flame extinguishing execution time, t′ 预 It indicates the scheduled flame extinguishing execution time. If the execution time deviation coefficient t″>execution time deviation threshold λ4, it is determined that a flame extinguishing execution failure occurs, and a manual intervention signal is immediately issued to notify the safety personnel. If the execution time deviation coefficient t″≤execution time deviation threshold λ4, it is determined that the flame extinguishing operation is successfully executed and no fault handling is required.

10. The intelligent monitoring system for electrical fire early warning and flame extinguishing according to claim 1, characterized in that: The status monitoring module monitors the flame extinguishing execution status of the data collection sub-area where the fire is located in real time through sensors, and generates a status monitoring report to feed back to the security personnel terminal.

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