Intelligent detection alarm system and method for emergency management
By debugging and data analysis of fire sprinklers, the fundamental causes of failure of fire sprinklers are identified and solved, and the problems in the prior art that fail to effectively identify the causes and correlation are solved, ensuring the normal operation and safety of the fire system during fire.
Patent Information
- Application Number
- CN202411485428.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-23
- Publication Date
- 2025-03-14
- Estimated Expiration
- 2044-10-23
AI Technical Summary
The existing fire sprinkler head fault detection system failed to effectively identify the cause of the fundamental fault, causing maintenance personnel to carry out repairs without understanding the actual situation, increasing the fire risk, and the fire sprinkler head fault was correlated and failed to fundamentally solve the problem.
The fire sprinkler head is debugged through the fire control panel to generate a debug information set, and fault detection is carried out through the fire system feedback data information. Use historical fire data information to analyze the fault relationship, trace the actual cause of the fire sprinkler head, and generate an emergency management plan.
Effectively identify and solve the fundamental failure causes of fire sprinklers, avoid risk repairs by maintenance personnel without understanding the situation, ensure that fire sprinklers work normally when fire occurs, and reduce fire risks.
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Figure CN119007404B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent detection and alarm, and in particular to an intelligent detection and alarm system and method for emergency management. Background Art
[0002] Under existing technology, sprinklers and water pipes are usually installed in high-rise buildings to automatically spray water mist to extinguish fires when fires occur. However, regular maintenance and inspection of fire-fighting equipment may lead to personnel negligence and missed inspections, so a detection system is needed to detect fire sprinklers. However, there is a chain reaction in the failure of fire sprinklers. When the detection system fails to correctly identify the root cause of the fire sprinkler failure, if the maintenance personnel perform maintenance without understanding the actual situation, it may also bring additional safety hazards. In addition, the root cause of the fire sprinkler failure is not resolved, resulting in another failure before the next maintenance, so that the sprinkler may not work properly when a fire occurs, thereby increasing the risk of fire. Summary of the invention
[0003] The purpose of the present invention is to provide an intelligent detection and alarm system and method for emergency management to solve the problems raised in the above background technology.
[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent detection and alarm method for emergency management, the intelligent detection and alarm method specifically comprising the following steps:
[0005] S100, debugging the fire sprinkler through the fire control panel to generate a debugging information set, and extracting the fire sprinkler data information from the fire system feedback data information; performing fault detection on the fire sprinkler in the fire system according to the debugging information set and the fire sprinkler data information;
[0006] S200, analyzing abnormal events through surveillance videos, dividing abnormal areas, and analyzing fire safety values of the abnormal areas;
[0007] S300. When the fire safety value is lower than a preset safety threshold, an alarm is issued, and the actual cause of the fire sprinkler failure is analyzed through historical fire data information, and an emergency management plan is generated.
[0008] Furthermore, the specific method of performing fault detection on the fire sprinkler in the fire protection system in S100 includes:
[0009] S101. Debug the fire sprinkler through the fire control panel, and generate debugging information to generate debugging information set Si, where the debugging information of the fire sprinkler includes water pressure test, water flow test, thermal test and smoke test, etc. The water pressure test is to use a water pressure test instrument to measure whether the water pressure of the sprinkler system is within the normal range to ensure that the water pressure is high enough to ensure that the sprinkler can work normally; the water flow test is to open the drain valve or test valve in the system to observe whether the water flow is normal; the thermal test is to observe whether the sprinkler can start automatically when a certain temperature is reached around the sprinkler; Si={Si1, Si2, Si3...Sij...SiJ}, Si represents the debugging information set of the i-th fire sprinkler in the fire protection system, Sij represents the j-th debugging information of the i-th fire sprinkler in the fire protection system, i=1, 2, 3...I, I represents the number of fire sprinklers in the fire protection system; j=1, 2, 3...J, J represents the type of debugging information of the fire sprinkler;
[0010] S102, extracting the fire sprinkler data information from the data information fed back by the fire sprinkler system, generating a data information set si, si={si1, si2, si3...sij...siJ}, si represents the data information set fed back to the fire sprinkler system by the ith fire sprinkler, sij represents the data information corresponding to the jth debugging information fed back to the fire sprinkler system by the ith fire sprinkler, wherein each debugging information of the fire sprinkler has corresponding data information fed back to the fire sprinkler system;
[0011] S103. Obtain a debugging comparison table Sij→s'ij through the database. The debugging comparison table is the standard data information corresponding to the debugging information of the fire sprinkler fed back to the fire protection system. s'ij represents the standard data information corresponding to the j-th debugging information fed back to the fire protection system by the ith fire sprinkler. When the debugging information of the fire sprinkler is not equal to the corresponding data information fed back to the fire protection system, it indicates that the fire sprinkler has a fault. When s'ij≠sij, it indicates that when the j-th debugging is performed on the ith fire sprinkler, the data information fed back to the fire protection system by the fire sprinkler does not match the standard data information, and it is determined that the ith fire sprinkler has a fault.
[0012] Furthermore, the specific method of analyzing the fire safety value of the abnormal area in S200 includes:
[0013] S201. Obtain any infrared image from an infrared monitoring camera device. The infrared image reflects the temperature distribution of objects in the scene. Preprocess the infrared image to eliminate noise and improve image quality. Set a temperature threshold through the critical point where an abnormal event occurs. Different temperature ranges have different colors in the infrared image. Therefore, the area exceeding the temperature threshold in the infrared image is marked and segmented according to the temperature threshold. The area exceeding the temperature threshold in the infrared image and the total area of the infrared image are obtained as g and G respectively. When g / G≥G', the area displayed by any infrared image is an abnormal area. The fire sprinkler in the abnormal area is obtained as ui', where ui' represents the i'th fire sprinkler in any infrared image, i'=1, 2, 3...I', I'≤I, and G' represents the abnormal area determination threshold.
[0014] S202, obtain the debugging information set and data information set of the fire sprinkler ui' respectively Si' and si', traverse the debugging comparison table according to the debugging information set of the fire sprinkler ui', obtain the standard data information s'i'j that needs to be fed back to the fire protection system corresponding to the debugging information of the fire sprinkler ui', compare and accumulate the data information si'j and the standard data information s'i'j fed back to the fire protection system by the fire sprinkler, and obtain Ki" and M(Ki") respectively, wherein Ki" represents the number of fire sprinklers whose data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, and M(Ki") represents the number of data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, i"=1, 2, 3...I", because the data information fed back to the fire protection system by the fire sprinklers in the abnormal area does not match the standard data information, so I"≤I';
[0015] S203. Constructing a fire safety assessment model:
[0016]
[0017] The fire safety value of the abnormal area is calculated, F is represented as the fire safety value of the abnormal area, and α is represented as a constant.
[0018] Furthermore, the specific method of analyzing the actual failure cause of the fire sprinkler through the historical fire data information and generating an emergency management plan in S300 includes:
[0019] S301. Through the historical fire data information in the fire sprinkler failure cycle, a historical failure point and a failure time point of a fire sprinkler failure cycle are arbitrarily extracted, which are lcz and tcz respectively. The fire sprinkler failure cycle is the time from the occurrence of the fire sprinkler failure to the completion of the staff's maintenance. c∈{1, 2, 3...I}, lcz represents the zth historical failure point of the fire sprinkler c in the failure cycle, tcz represents the historical time point when the zth failure of the fire sprinkler occurs in the failure cycle, and z represents the fault number of the fire sprinkler in the failure cycle, wherein each historical failure point of the fire sprinkler corresponds to a failure time point;
[0020] S302, sort the failure points of the fire sprinklers according to the historical failure time points of the fire sprinklers, and obtain the failure association relationship of the fire sprinkler c: lc1→lc2→lc3...→lcz'...→lcZ', z'=1, 2, 3...Z', Z' represents the total number of failure types that occur in the fire sprinkler within the failure cycle; generate failure association relationships respectively by traversing the historical fire data information of the fire sprinklers in the fire protection system: li1→li2→li3...→livz'...→liZ'; according to the fire sprinkler ui", the data information fed back by the fire protection system according to the debugging information does not match the standard data information, and the failure points of the fire sprinkler ui" are Pi"j', Pi"j' represents the j'th failure point of the fire sprinkler ui". When the data information fed back by the fire protection system to the fire protection system under any debugging information does not match the standard data information, it is determined that the debugging point corresponding to the debugging information has a failure, that is, the failure point, j'=1, 2, 3...J', because it is based on different debugging information. The test information is used to sort the number of fire sprinklers that are not consistent with the standard data information fed back to the fire protection system, so the types of debugging information are the same, that is, j'∈{1, 2, 3...J}; S303, the actual fault cause of the fire sprinkler is traced back through the fault association relationship and the fault point Pi"j' of the fire sprinkler ui", and the actual fault cause Y(Pi"j') corresponding to the fire sprinkler fault point Pi"j' is obtained, wherein the actual fault cause of the fire sprinkler is traced back according to the position of the fault point of the fire sprinkler in the corresponding fault association relationship, and the actual fault cause of the fire sprinkler can be obtained by tracing back in the opposite direction of the arrow "→"; by accumulating the number of the same actual fault causes corresponding to the fire fault point ui", the actual fault causes are sorted from high to low according to the accumulated number, and the fire sprinklers are inspected and maintained in turn according to the sorting results. Whenever the inspection and maintenance of the actual fault cause corresponding to a fire sprinkler is completed, the fire sprinkler is re-detected for faults because the faults of fire sprinklers are correlated.
[0021] An intelligent detection and alarm system for emergency management, the intelligent detection and alarm system comprises a data acquisition module, a data analysis module, an intelligent detection module and an alarm reminder module; the output end of the data acquisition module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the intelligent detection module, and the output end of the intelligent detection module is connected to the input end of the alarm reminder module; the data acquisition module is used to collect debugging information of fire sprinklers and data information of sprinklers, as well as historical fire data information; the data analysis module is used to analyze abnormal events and divide abnormal areas and analyze fire safety; the intelligent detection module is used to detect the actual cause of failure of fire sprinklers; the alarm reminder module is used to issue an alarm reminder when the fire safety value is lower than a preset safety threshold and generate an emergency management plan.
[0022] Furthermore, the data acquisition module includes a debugging information acquisition unit, a fire sprinkler data information acquisition unit and a historical fire data information acquisition unit; the debugging information acquisition unit is used to collect debugging information of fire sprinklers, wherein the debugging information of fire sprinklers includes water pressure test, water flow test, heat test and smoke detection test, etc.; the fire sprinkler data information acquisition unit extracts fire sprinkler data information from the fire protection system feedback data information; the historical fire data information acquisition unit is used to collect historical fire data information in the fire sprinkler failure cycle, and the fault correlation relationship of the fire sprinkler can be analyzed based on the historical fire data information.
[0023] Furthermore, the data analysis module includes an abnormal area division unit and a fire safety analysis unit; the abnormal area division unit analyzes abnormal events and divides abnormal areas; the fire safety analysis unit is used to analyze the fire safety value of the abnormal area.
[0024] Furthermore, the intelligent detection module includes a fault correlation analysis unit and an actual fault cause detection unit; the fault correlation analysis unit analyzes the fault correlation based on historical fire data information; the actual fault cause detection unit traces the actual fault cause of the fire sprinkler through the fault correlation and the fault point of the fire sprinkler to obtain the actual fault cause of the fire sprinkler.
[0025] Furthermore, the alarm reminder module includes an alarm reminder module and an emergency management plan generation unit; the alarm reminder module issues an alarm reminder when the fire safety value is lower than a preset safety threshold; the emergency management plan generation unit generates an emergency management plan based on the actual failure cause of the fire sprinkler, and performs repairs on the actual failure cause of the fire sprinkler.
[0026] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention generates debugging information by debugging the fire sprinkler, and completes the fault detection of the fire sprinkler based on the data information fed back to the fire protection system by the fire sprinkler and the standard data information corresponding to the debugging information. However, there is a correlation between the faults of the fire sprinkler. When the detection system fails to correctly identify the root cause of the fire sprinkler fault, the fault correlation of the fire sprinkler is determined based on the historical fire data information, and the actual cause of the fire sprinkler fault is analyzed, thereby avoiding the possibility of additional safety hazards if the maintenance personnel perform maintenance without understanding the actual situation. In addition, the fault of the fire sprinkler is fundamentally solved, so that the sprinkler works normally when a fire occurs, thereby reducing the risk of fire. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0028] Figure 1 It is a structural schematic diagram of an intelligent detection and alarm system for emergency management of the present invention. DETAILED DESCRIPTION
[0029] 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.
[0030] In this embodiment, the present invention provides a technical solution: an intelligent detection and alarm method for emergency management, the intelligent detection and alarm method specifically comprises the following steps:
[0031] S100, debugging the fire sprinkler through the fire control panel to generate a debugging information set, and extracting the fire sprinkler data information from the fire system feedback data information; performing fault detection on the fire sprinkler in the fire system according to the debugging information set and the fire sprinkler data information;
[0032] S200, analyzing abnormal events through surveillance videos, dividing abnormal areas, and analyzing fire safety values of the abnormal areas;
[0033] S300. When the fire safety value is lower than a preset safety threshold, an alarm is issued, and the actual cause of the fire sprinkler failure is analyzed through historical fire data information, and an emergency management plan is generated.
[0034] Furthermore, the specific method of performing fault detection on the fire sprinkler in the fire protection system in S100 includes:
[0035] S101. Debug the fire sprinkler through the fire control panel, and generate debugging information to generate debugging information set Si, where the debugging information of the fire sprinkler includes water pressure test, water flow test, thermal test and smoke test, etc. The water pressure test is to use a water pressure test instrument to measure whether the water pressure of the sprinkler system is within the normal range to ensure that the water pressure is high enough to ensure that the sprinkler can work normally; the water flow test is to open the drain valve or test valve in the system to observe whether the water flow is normal; the thermal test is to observe whether the sprinkler can start automatically when a certain temperature is reached around the sprinkler; Si={Si1, Si2, Si3...Sij...SiJ}, Si represents the debugging information set of the i-th fire sprinkler in the fire protection system, Sij represents the j-th debugging information of the i-th fire sprinkler in the fire protection system, i=1, 2, 3...I, I represents the number of fire sprinklers in the fire protection system; j=1, 2, 3...J, J represents the type of debugging information of the fire sprinkler;
[0036] S102, extracting the fire sprinkler data information from the data information fed back by the fire sprinkler system, generating a data information set si, si={si1, si2, si3...sij...siJ}, si represents the data information set fed back to the fire sprinkler system by the ith fire sprinkler, sij represents the data information corresponding to the jth debugging information fed back to the fire sprinkler system by the ith fire sprinkler, wherein each debugging information of the fire sprinkler has corresponding data information fed back to the fire sprinkler system;
[0037] S103. Obtain a debugging comparison table Sij→s'ij through the database. The debugging comparison table is the standard data information corresponding to the debugging information of the fire sprinkler fed back to the fire protection system. s'ij represents the standard data information corresponding to the j-th debugging information fed back to the fire protection system by the ith fire sprinkler. When the debugging information of the fire sprinkler is not equal to the corresponding data information fed back to the fire protection system, it indicates that the fire sprinkler has a fault. When s'ij≠sij, it indicates that when the j-th debugging is performed on the ith fire sprinkler, the data information fed back to the fire protection system by the fire sprinkler does not match the standard data information, and it is determined that the ith fire sprinkler has a fault.
[0038] Furthermore, the specific method of analyzing the fire safety value of the abnormal area in S200 includes:
[0039] S201. Obtain any infrared image from the infrared monitoring camera device. The infrared image reflects the temperature distribution of objects in the scene. Preprocess the infrared image to eliminate noise and improve image quality. This may include filtering, denoising, histogram equalization and other technologies. Set a temperature threshold through the critical point where the abnormal event occurs. Different temperature ranges have different colors in the infrared image. Therefore, the area exceeding the temperature threshold in the infrared image is marked and segmented according to the temperature threshold. The area exceeding the temperature threshold in the infrared image and the total area of the infrared image are obtained as g and G respectively. When g / G≥G', the area displayed by any infrared image is an abnormal area. The fire sprinkler in the abnormal area is obtained as ui', where ui' represents the i'th fire sprinkler in any infrared image, i'=1, 2, 3...I', I'≤I, and G' represents the abnormal area determination threshold.
[0040] S202, obtain the debugging information set and data information set of the fire sprinkler ui' respectively Si' and si', traverse the debugging comparison table according to the debugging information set of the fire sprinkler ui', obtain the standard data information s'i'j that needs to be fed back to the fire protection system corresponding to the debugging information of the fire sprinkler ui', compare and accumulate the data information si'j and the standard data information s'i'j fed back to the fire protection system by the fire sprinkler, and obtain Ki" and M(Ki") respectively, wherein Ki" represents the number of fire sprinklers whose data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, and M(Ki") represents the number of data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, i"=1, 2, 3...I", because the data information fed back to the fire protection system by the fire sprinklers in the abnormal area does not match the standard data information, so I"≤I';
[0041] S203. Constructing a fire safety assessment model:
[0042]
[0043] The fire safety value of the abnormal area is calculated, F is represented as the fire safety value of the abnormal area, and α is represented as a constant.
[0044] Furthermore, the specific method of analyzing the actual failure cause of the fire sprinkler through the historical fire data information and generating an emergency management plan in S300 includes:
[0045] S301. Through the historical fire data information in the fire sprinkler failure cycle, a historical failure point and a failure time point of a fire sprinkler failure cycle are arbitrarily extracted, which are lcz and tcz respectively. The fire sprinkler failure cycle is the time from the occurrence of the fire sprinkler failure to the completion of the staff's maintenance. c∈{1, 2, 3...I}, lcz represents the zth historical failure point of the fire sprinkler c in the failure cycle, tcz represents the historical time point when the zth failure of the fire sprinkler occurs in the failure cycle, and z represents the fault number of the fire sprinkler in the failure cycle, wherein each historical failure point of the fire sprinkler corresponds to a failure time point;
[0046] S302, sort the failure points of the fire sprinklers according to the historical failure time points of the fire sprinklers, and obtain the failure association relationship of the fire sprinkler c: lc1→lc2→lc3...→lcz'...→lcZ', z'=1, 2, 3...Z', Z' represents the total number of failure types that occur in the fire sprinkler within the failure cycle; generate the failure association relationship respectively by traversing the historical fire data information of the fire sprinklers in the fire protection system: li1→li2→li3...→livz'...→liZ'; according to the fire sprinkler ui" According to the debugging information, the data information fed back by the fire protection system does not match the standard data information, and the fault points of the fire sprinkler ui" are Pi"j', Pi"j' represents the j'th fault point of the fire sprinkler ui". When the data information fed back by the fire protection system under any debugging information does not match the standard data information, the debugging point corresponding to the debugging information is judged to be the fault point, j'=1, 2, 3...J'. Since the number of fire sprinklers that are fed back to the fire protection system and do not match the standard data information is sorted according to different debugging information, , so the types of debugging information are the same, that is, j'∈{1, 2, 3...J}; S303, trace the actual fault cause of the fire sprinkler through the fault association relationship and the fault point Pi"j' of the fire sprinkler ui", and obtain the actual fault cause Y(Pi"j') corresponding to the fault point Pi"j' of the fire sprinkler, wherein the actual fault cause of the fire sprinkler is traced according to the position of the fault point of the fire sprinkler in the corresponding fault association relationship, and the actual fault cause of the fire sprinkler can be obtained by tracing in the opposite direction of the arrow "→"; by accumulating the number of the same actual fault causes corresponding to the fire fault point ui", sorting the actual fault causes from high to low according to the accumulated number, and inspecting and maintaining the fire sprinklers in turn according to the sorting results, whenever the inspection and maintenance of the actual fault cause corresponding to a fire sprinkler is completed, the fire sprinkler is re-detected for faults, because the faults of the fire sprinklers are correlated. For example, when there are too many impurities or pollutants in the water, multiple sprinklers will be blocked, etc., which will cause some sprinklers that are not blocked to have problems such as sprinkler rupture caused by excessive water pressure.
[0047] See also Figure 1, and also provides an intelligent detection and alarm system for emergency management, which includes a data acquisition module, a data analysis module, an intelligent detection module and an alarm reminder module; the output end of the data acquisition module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the intelligent detection module, and the output end of the intelligent detection module is connected to the input end of the alarm reminder module; the data acquisition module is used to collect debugging information of fire sprinklers and data information of sprinklers, as well as historical fire data information; the data analysis module is used to analyze abnormal events and divide abnormal areas and analyze fire safety; the intelligent detection module is used to detect the actual cause of failure of fire sprinklers; the alarm reminder module is to issue an alarm reminder when the fire safety value is lower than the preset safety threshold and generate an emergency management plan.
[0048] Furthermore, the data acquisition module includes a debugging information acquisition unit, a fire sprinkler data information acquisition unit and a historical fire data information acquisition unit; the debugging information acquisition unit is used to collect debugging information of fire sprinklers, wherein the debugging information of fire sprinklers includes water pressure test, water flow test, heat test and smoke detection test, etc.; the fire sprinkler data information acquisition unit extracts fire sprinkler data information from the fire protection system feedback data information; the historical fire data information acquisition unit is used to collect historical fire data information in the fire sprinkler failure cycle, and the fault correlation relationship of the fire sprinkler can be analyzed based on the historical fire data information.
[0049] Furthermore, the data analysis module includes an abnormal area division unit and a fire safety analysis unit; the abnormal area division unit analyzes abnormal events and divides abnormal areas; the fire safety analysis unit is used to analyze the fire safety value of the abnormal area.
[0050] Furthermore, the intelligent detection module includes a fault correlation analysis unit and an actual fault cause detection unit; the fault correlation analysis unit analyzes the fault correlation based on historical fire data information; the actual fault cause detection unit traces the actual fault cause of the fire sprinkler through the fault correlation and the fault point of the fire sprinkler to obtain the actual fault cause of the fire sprinkler.
[0051] Furthermore, the alarm reminder module includes an alarm reminder module and an emergency management plan generation unit; the alarm reminder module issues an alarm reminder when the fire safety value is lower than a preset safety threshold; the emergency management plan generation unit generates an emergency management plan based on the actual failure cause of the fire sprinkler, and performs repairs based on the actual failure cause of the fire friend.
[0052] In this embodiment:
[0053] Obtain any infrared image from the infrared monitoring camera device. The infrared image reflects the temperature distribution of objects in the scene. Preprocess the infrared image to eliminate noise and improve image quality. This may include filtering, denoising, histogram equalization and other technologies. Set the temperature threshold according to the critical point where the abnormal event occurs. Different ranges of temperature have different colors in the infrared image. Therefore, the area in the infrared image that exceeds the temperature threshold is marked and segmented according to the temperature threshold.
[0054] Embodiment 1: The area exceeding the temperature threshold in the acquired infrared image and the total area of the infrared image are respectively g=10 and G=50; when g / G=1 / 5<G'=0.25, it is determined that there is no abnormal event in any acquired infrared image;
[0055] Embodiment 2: The area exceeding the temperature threshold in the infrared image and the total area of the infrared image are obtained as g=25 and G=50 respectively; when g / G=1 / 2>G'=0.25, the area displayed by any one of the infrared images is an abnormal area, and the fire sprinkler in the abnormal area is obtained as ui', wherein ui' represents the i'th fire sprinkler in any one of the infrared images, i'=1, 2, 3...I', I'≤I, and G' represents the abnormal area determination threshold; the debugging information set and data information set of the fire sprinkler ui' are obtained as Si' and si' respectively, and the debugging comparison table is traversed according to the debugging information set of the fire sprinkler ui' to obtain the standard data information corresponding to the debugging information of the fire sprinkler ui' that needs to be fed back to the fire protection system s'i'j, the data information si'j fed back to the fire protection system by the fire sprinkler is compared with the standard data information s'i'j, and the cumulative data are Ki"={4, 7, 9, 11...} and M(Ki")={8, 2, 5, 2...}, where Ki" represents the number of fire sprinklers whose data information fed back to the fire protection system by the ith fire sprinkler does not match the standard data information, and M(Ki") represents the number of fire sprinklers whose data information fed back to the fire protection system by the ith fire sprinkler does not match the standard data information, i"=1, 2, 3...I", because the data information fed back to the fire protection system by the fire sprinklers in the abnormal area does not match the standard data information, so I"≤I'; build a fire safety assessment model:
[0056]
[0057] F=100 / (32+14+45+22...)=0.085;
[0058] The fire safety value of the abnormal area is calculated, and F is represented by the fire safety value of the abnormal area.
[0059] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0060] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An intelligent detection and alarm method for emergency management, characterized in that: The intelligent detection alarm method specifically comprises the following steps: S100, debugging the fire sprinkler through the fire control panel to generate a debugging information set, and extracting the fire sprinkler data information from the fire system feedback data information; performing fault detection on the fire sprinkler in the fire system according to the debugging information set and the fire sprinkler data information; S200, analyzing abnormal events through surveillance videos, dividing abnormal areas, and analyzing fire safety values of the abnormal areas; S300, when the fire safety value is lower than the preset safety threshold, an alarm is issued, and the actual cause of the fire sprinkler failure is analyzed through historical fire data information, and an emergency management plan is generated; The specific method of S300 includes: S301. Through the historical fire data information in the fire sprinkler failure cycle, a historical failure point and a failure time point of a fire sprinkler failure cycle are randomly extracted, which are lcz and tcz respectively. The fire sprinkler failure cycle is the time from the occurrence of a fire sprinkler failure to the completion of maintenance by the staff. c∈{1, 2, 3...I}, I represents the number of fire sprinklers in the fire protection system, lcz represents the zth historical failure point of the fire sprinkler c in the failure cycle, tcz represents the historical time point when the zth failure of the fire sprinkler occurs in the failure cycle, and z represents the fault number of the fire sprinkler in the failure cycle; S302, sort the fault points of the fire sprinkler according to the historical fault time points of the fire sprinkler, and obtain the fault association relationship of the fire sprinkler c: lc1→lc2→lc3...→lcz'...→lcZ', z'=1, 2, 3...Z', Z' represents the total number of fault types that occur in the fire sprinkler within the fault cycle; generate fault association relationships respectively by traversing the historical fire data information of the fire sprinkler in the fire protection system: li1→li2→li3...→liz'...→liZ'; according to the fire sprinkler ui", the data information of the fire protection system is not consistent with the standard data information when running the feedback according to the debugging information, and the fault of the fire sprinkler ui" is obtained. The points are Pi"j', Pi"j' represents the j'th fault point of the fire sprinkler ui", j'=1, 2, 3...J', j'∈{1, 2, 3...J}, and J represents the type of debugging information of the fire sprinkler; S303, trace the actual fault cause of the fire sprinkler through the fault association relationship and the fault point Pi"j' of the fire sprinkler ui", and obtain the actual fault cause Y(Pi"j') corresponding to the fire sprinkler fault point Pi"j'; accumulate the number of the same actual fault causes corresponding to the fire fault point ui", sort the actual fault causes from high to low according to the accumulated number, and inspect and maintain the fire sprinklers in turn according to the sorting results.
2. The intelligent detection and alarm method for emergency management according to claim 1, characterized in that: The specific method of performing fault detection on the fire sprinkler in the fire protection system in S100 includes: S101, debug the fire sprinkler through the fire control panel, and generate the debugging information to generate the debugging information set Si, Si={Si1, Si2, Si3...Sij...SiJ}, Si represents the debugging information set of the i-th fire sprinkler in the fire system, Sij represents the j-th debugging information of the i-th fire sprinkler in the fire system, i=1, 2, 3...I; j=1, 2, 3...J; S102, extracting the fire sprinkler data information from the fire system feedback data information, generating a data information set si, si={si1, si2, si3...sij...siJ}, si represents the data information set fed back to the fire system by the ith fire sprinkler, sij represents the data information corresponding to the jth debugging information fed back to the fire system by the ith fire sprinkler; S103, obtaining a debugging comparison table Sij→s'ij from a database, where s'ij represents standard data information corresponding to the j-th debugging information fed back to the fire protection system by the ith fire sprinkler; when s'ij≠sij, it is determined that the ith fire sprinkler has a fault.
3. The intelligent detection and alarm method for emergency management according to claim 2 is characterized in that: The specific method of analyzing the fire safety value of the abnormal area in S200 includes: S201. Obtain any infrared image from an infrared monitoring camera device, pre-process the infrared image, set a temperature threshold according to the critical point where an abnormal event occurs, mark and segment the area in the infrared image that exceeds the temperature threshold according to the temperature threshold, and obtain the area in the infrared image that exceeds the temperature threshold as g and the total area of the infrared image as G respectively; when g / G≥G', the area displayed by any one of the infrared images is an abnormal area, and the fire sprinkler in the abnormal area is obtained as ui', where ui' represents the i'th fire sprinkler in any one of the infrared images, i'=1, 2, 3...I', I'≤I, and G' represents the abnormal area determination threshold; S202, obtain the debugging information set and data information set of the fire sprinkler ui', which are Si' and si' respectively, and traverse the debugging comparison table according to the debugging information set of the fire sprinkler ui' to obtain the standard data information s'i'j that needs to be fed back to the fire protection system corresponding to the debugging information of the fire sprinkler ui', and compare and accumulate the data information si'j and the standard data information s'i'j fed back to the fire protection system by the fire sprinkler to obtain Ki" and M(Ki") respectively, wherein Ki" represents the number of fire sprinklers whose data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, and M(Ki") represents the number of data information fed back to the fire protection system by the i"th fire sprinkler does not match the standard data information, i"=1, 2, 3...I", I"≤I'; S203: construct a fire safety assessment model to calculate the fire safety value of the abnormal area.
4. An intelligent detection and alarm system for emergency management, using the intelligent detection and alarm method for emergency management as claimed in claim 1, characterized in that: The intelligent detection alarm system includes a data acquisition module, a data analysis module, an intelligent detection module and an alarm reminder module; the output end of the data acquisition module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the intelligent detection module, and the output end of the intelligent detection module is connected to the input end of the alarm reminder module; the data acquisition module is used to collect debugging information of fire sprinklers and data information of sprinklers, as well as historical fire data information; the data analysis module is used to analyze abnormal events and divide abnormal areas and analyze fire safety; the intelligent detection module is used to detect the actual cause of failure of fire sprinklers; the alarm reminder module is used to issue an alarm reminder when the fire safety value is lower than a preset safety threshold and generate an emergency management plan.
5. The intelligent detection and alarm system for emergency management according to claim 4 is characterized in that: The data acquisition module includes a debugging information acquisition unit, a fire sprinkler data information acquisition unit and a historical fire data information acquisition unit; The debugging information acquisition unit is used to acquire debugging information of fire sprinklers; the fire sprinkler data information acquisition unit is used to extract fire sprinkler data information from fire system feedback data information; the historical fire data information acquisition unit is used to acquire historical fire data information during a fire sprinkler failure cycle.
6. The intelligent detection and alarm system for emergency management according to claim 5, characterized in that: The data analysis module includes an abnormal area division unit and a fire safety analysis unit; the abnormal area division unit analyzes abnormal events and divides abnormal areas; the fire safety analysis unit is used to analyze the fire safety value of the abnormal area.
7. The intelligent detection and alarm system for emergency management according to claim 6, characterized in that: The intelligent detection module includes a fault correlation analysis unit and an actual fault cause detection unit; The fault correlation analysis unit analyzes the fault correlation based on historical fire data information; the actual fault cause detection unit traces the actual fault cause of the fire sprinkler through the fault correlation and the fault point of the fire sprinkler to obtain the actual fault cause of the fire sprinkler.
8. The intelligent detection and alarm system for emergency management according to claim 7 is characterized in that: The alarm reminder module includes an alarm reminder module and an emergency management plan generation unit; the alarm reminder module is used to issue an alarm reminder when the fire safety value is lower than a preset safety threshold; The emergency management plan generating unit generates an emergency management plan according to the actual failure cause of the fire sprinkler.
Citation Information
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