Fire-fighting facility reverse management and dynamic closed-loop management method and system

Abstract

This application relates to the field of digital data management technology, and discloses a method and system for reverse management and dynamic closed-loop management of fire protection facilities. It integrates spatial data such as the distribution of fire protection facilities, hazardous materials storage, and high-frequency operations into a visually labeled plan view of the monitoring area of ​​a fire protection facility management platform. It also links real-time monitoring of equipment status, historical hazards, and environmental parameters via the Internet of Things (IoT) to construct a structured verification item table. Based on the hazard type and inspection time limit for each verification item in the table, it establishes inspection work orders for fire protection facilities. A dynamic closed-loop management system is constructed through the fire protection facility management platform. By integrating multi-dimensional data such as real-time feedback data from IoT devices and regional risk data, it reduces the overlap between early warning data and verification cycles. It leverages mobile terminal inspection feedback verification and loop reinforcement to strengthen the execution closed loop, forming a data-driven early warning system that matches inspection work orders with the execution closed-loop control.

Description

Technical Field

[0001] The present invention relates to a reverse management and dynamic closed-loop management method and system for fire fighting facilities, and belongs to the technical field of digital data management. Background Art

[0002] For fire fighting equipment maintenance, various Internet of Things intelligent sensing devices are equipped to realize automatic collection of operation data of fire fighting equipment. Relying on the automatic fire fighting control system, linkage test and automatic fault judgment of each fire fighting subsystem are realized. Based on the returned monitoring data, the intelligent fire fighting Internet of Things cloud platform summarizes, analyzes and studies the massive equipment data collected at the front end, so as to realize intelligent maintenance management and control.

[0003] At present, the monitoring of fire fighting equipment can rely on the feedback data from intelligent devices such as the Internet of Things, but the verification of the working status of fire fighting equipment still requires manual processing. The operation system of fire fighting equipment is a huge equipment system, which covers equipment types such as electrical, water supply and drainage, machinery, automatic control, sensing and so on, and the verification of the working status of fire fighting equipment also needs to be combined with the early warning information of the intelligent fire fighting Internet of Things cloud platform. The verification of the working status of traditional fire fighting equipment requires manual scheduling. However, facing the complex operation system of fire fighting equipment, the traditional manual scheduling plan can hardly take into account multiple factors such as actual early warning data and equipment verification cycle, and cross loopholes in verification work arrangement often occur.

[0004] Therefore, aiming at the defect that the traditional verification plan for the working status of fire fighting equipment is prone to verification loopholes, it is necessary to provide a reverse management and dynamic closed-loop management method and system for fire fighting facilities. Summary of the Invention

[0005] The present application provides a reverse management and dynamic closed-loop management method and system for fire fighting facilities, which can solve the problem that verification loopholes are prone to occur in the verification plan for the working status of fire fighting equipment.

[0006] A reverse management and dynamic closed-loop management method for fire fighting facilities provided by the present application comprises:[` calling fire fighting facility area distribution data on a fire fighting facility management platform; obtaining hidden danger data by using a hidden danger standard library of the fire fighting facility management platform, wherein the hidden danger data comprises dangerous goods distribution data, comprehensive fire fighting equipment monitoring distribution data and high-frequency manual operation distribution data; matching the fire fighting facility area distribution data with the hidden danger data; obtaining a visual labeled plan view of a monitoring area for the fire fighting facility management platform; calling an inspection standard library and obtaining a verification item list of the visual labeled plan view of the monitoring area; selecting one verification item from the inspection item list in sequence; Based on the early warning and hazard data from the fire protection facility management platform, the project is analyzed and verified; Obtain the inspection time limit for each verification item in the verification item list; Based on the hazard type and inspection time limit for each verified item in the verification item list, an inspection work order for fire protection facilities is created so that the fire protection facility management platform can receive inspection feedback.

[0007] This application provides a reverse management and dynamic closed-loop management system for fire protection facilities, comprising: The server is used to implement reverse management and dynamic closed-loop management methods for fire protection facilities. The memory is communicatively connected to the server. A mobile communication terminal that communicates with the server.

[0008] This application relates to a method and system for reverse management and dynamic closed-loop management of fire protection facilities. The system calls up the regional distribution data of fire protection facilities on the fire protection facility management platform, determines the distribution data of fire protection facilities through a map, quickly identifies the facility layout in high-risk areas, and combines multi-dimensional data such as the distribution of hazardous sources and the density of people to accurately locate potential hazards in fire protection facilities and strengthen risk prevention and control.

[0009] Based on the hazard standard library of the fire protection facility management platform, hazard data is obtained and a visually labeled plan of the monitoring area is generated. This requires relying on the platform interface to accurately call three types of core data: hazardous materials distribution, comprehensive fire protection equipment monitoring, and high-frequency manual operations. After multi-source data cleaning and association are completed by the GIS engine using a unified coordinate system, a visual layer of hazardous materials risk heat, real-time equipment status, and operation activity trajectory is overlaid on the building plan or urban vector map as the base. The spatial association between risk points and fire protection resources is realized through labeling rules, thereby obtaining the hazard distribution results.

[0010] By retrieving the visualized floor plan and integrating the data of fire-fighting equipment, hazardous materials distribution, and high-frequency operation areas within the monitoring area using a GIS engine, and connecting it with the inspection standard library, the system retrieves the corresponding inspection items and qualification thresholds through linkage with the floor plan. Combined with IoT monitoring data, it ensures the accurate acquisition of actual risks and generates a structured verification item table. Taking the selected area on the floor plan as the target, it integrates basic equipment information, inspection item list, and actual measurement feedback data entry area. By using the visualized floor plan of the monitoring area of ​​the fire protection facility management platform to call the inspection standard library and obtain the verification item table, it forms a reverse management and dynamic closed-loop management of fire protection facilities.

[0011] The monitoring area visualization map of the fire protection facility management platform integrates spatial data such as the distribution of fire protection facilities, hazardous materials storage, and high-frequency operations. It links with the real-time monitoring of equipment status, historical hazards, and environmental parameters via the Internet of Things to construct a structured verification item table. Based on the hazard type and inspection time limit for each verification item in the verification item table, inspection work orders for fire protection facilities are established. A dynamic closed-loop management system is constructed through the fire protection facility management platform. By integrating multi-dimensional data such as real-time feedback data from IoT devices and regional risk data, human resources and time and space windows are incorporated into the matching and flexible scheduling of work orders, reducing the overlap between early warning data and verification cycles. The inspection feedback verification and loop reinforcement of the execution closed loop are strengthened by the mobile terminal, forming a data-driven early warning and inspection work order matching execution closed-loop control. Attached Figure Description

[0012] Figure 1 This is a flowchart illustrating a method for reverse management and dynamic closed-loop management of fire protection facilities in one embodiment of the present invention. Figure 2 This is a structural connection diagram of a reverse management and dynamic closed-loop management system for fire protection facilities according to an embodiment of the present invention; Figure label: 100 - Server; 200 - Storage; 300 - Mobile communication terminal. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0014] like Figure 1 As shown, the present invention provides a method for reverse management and dynamic closed-loop management of fire protection facilities, comprising: S100 retrieves the area distribution data of fire protection facilities from the fire protection facility management platform.

[0015] S200 utilizes the hazard standard database of the fire protection facility management platform to obtain hazard data.

[0016] S300 matches the regional distribution data of fire protection facilities with the data on potential hazards.

[0017] S400 provides a visually labeled floor plan of the monitoring area of ​​the fire protection facility management platform.

[0018] S500 calls the standard library for investigation and retrieves the verification item table of the visual annotation plan of the monitored area.

[0019] S600, select one verification item from the inspection item list.

[0020] S700 analyzes and verifies projects based on early warning and hazard data from the fire protection facility management platform.

[0021] S800, obtain the inspection time limit for each verification item in the verification item list.

[0022] S900 establishes inspection work orders for fire protection facilities based on the hazard type and inspection time limit for each verification item in the verification item list, so that the fire protection facility management platform can receive inspection feedback.

[0023] Specifically, the hazard data includes hazardous materials distribution data, integrated fire-fighting equipment monitoring distribution data, and high-frequency manual operation distribution data.

[0024] Simply put, the fire protection facility management platform can monitor the real-time operation data of various fire protection equipment based on IoT devices, utilizing various IoT sensing terminals as data collection terminals. The platform collects real-time operation data of fire protection equipment through IoT devices, centrally processes the acquired monitoring data, and achieves online monitoring and automatic risk warning for fire protection facilities across the entire area.

[0025] The IoT sensing terminals include liquid level IoT sensors, which can monitor the water level in fire pools, whether fire hydrants have fire-fighting water supply, sprinkler pipe pressure, and water tank level in real time. IoT sensing terminals also include electrical fire monitoring detectors, which can monitor cable temperature, leakage current, and overload to prevent electrical fires. Finally, IoT sensing terminals include smoke detectors, heat detectors, and combustible gas IoT detectors, which can provide early warnings of abnormal fires and report real-time monitoring data on flammable and explosive gas leaks.

[0026] The fire protection facility management platform features a GIS map, allowing monitoring data from IoT sensing terminals to be overlaid on the map for visualized early warning data labeling. Firefighting equipment is deployed around monitored objects that may pose fire hazards. These hazards include hazardous materials warehouses, high-pressure gas storage tanks, hazardous liquid storage tanks, production lines, and transportation routes. These hazards possess flammable, explosive, toxic, and corrosive properties and are therefore monitored by the fire protection facility management platform. Simultaneously, the operating parameters of the firefighting equipment itself are also core parameters monitored by the platform, making the equipment itself a monitoring object.

[0027] By combining the GIS map of the fire protection facility management platform with building floor plans, networked fire protection facilities, hazardous sources, and work areas can be layered and labeled. This allows for the inclusion of hazardous materials distribution data, integrated fire protection equipment monitoring distribution data, and high-frequency manual operation distribution data. Labeling this data on the GIS map of the fire protection facility management platform yields a regional distribution map of the fire protection facilities.

[0028] The hazard standard database of the fire protection facility management platform can determine the types of hazardous materials and whether fire-fighting equipment is in an early warning state. Data integration between the hazard standard database and the fire protection facility management platform enables hazard identification. For example, real-time data such as fire water pressure, water tank level, equipment operating temperature, leakage parameters, equipment switch status, fault alarms, and environmental monitoring are collected and linked to facility files, spatial locations, equipment types, and corresponding fire protection code entries through the unique codes of IoT devices. Standardized threshold comparisons are then used to establish hazard identification relationships.

[0029] The fire protection facility management platform generates a structured inspection and verification item table based on the visual annotation plan of the monitored area. It selects a verification item in the inspection item table one by one, extracts each verification item, and performs full-process business calculations until all items to be verified in the table have been traversed. This achieves a standardized processing flow for each fire protection verification task, including independent retrieval, parameter parsing, timeliness determination, personnel matching, and work order generation.

[0030] This application relates to a method for reverse management and dynamic closed-loop management of fire protection facilities. After selecting a single point, an entire floor, or a whole controlled area on a visually marked floor plan, the system uses the spatial boundary of the selected area as a filtering condition to extract the attribute data bound to all thermally marked points within the area. Simultaneously, it retrieves the platform's hazard standard library and matches the verification indicators, qualification thresholds, judgment standards, and inspection requirements corresponding to each risk point to form the basic verification items. Warning and hazard information are mapped item by item to the verification item table, overlaying operational scenarios such as densely populated places and flammable and explosive storage. The shortest inspection time limit is matched for fire hazard verification items to achieve same-day on-site verification. A three-day inspection deadline is set for general risks and hazards, while a seven-day inspection deadline is set for general equipment warnings and minor facility anomalies.

[0031] The monitoring area visualization map of the fire protection facility management platform integrates spatial data such as the distribution of fire protection facilities, hazardous materials storage, and high-frequency operations. It links with the real-time monitoring of equipment status, historical hazards, and environmental parameters via the Internet of Things to construct a structured verification item table. Based on the hazard type and inspection time limit for each verification item in the verification item table, inspection work orders for fire protection facilities are established. A dynamic closed-loop management system is constructed through the fire protection facility management platform. By integrating multi-dimensional data such as real-time feedback data from IoT devices and regional risk data, human resources and time and space windows are incorporated into the matching and flexible scheduling of work orders, reducing the overlap between early warning data and verification cycles. The inspection feedback verification and loop reinforcement of the execution closed loop are strengthened by the mobile terminal, forming a data-driven early warning and inspection work order matching execution closed-loop control.

[0032] In one embodiment of this application, S100 includes: S111, Receive at least one fire protection facility layout plan.

[0033] S112, Select a fire protection facility layout plan.

[0034] S113, obtain the code ID of the selected fire protection facility layout plan.

[0035] S114. Using the code ID of the fire protection facility layout plan, search for the monitoring IoT device of the fire protection facility with the associated code ID in the fire protection facility management platform.

[0036] S115, obtain the location information of the monitoring IoT device for each fire protection facility with an associated coded ID.

[0037] S116, Match the location range information of the selected fire protection facility layout plan with the location information of the monitoring IoT device of the fire protection facility.

[0038] S117, obtain data on the regional distribution of fire protection facilities.

[0039] S118, return to the previous step of selecting a fire protection facility layout plan, until all fire protection facility layout plans have been selected.

[0040] Understandably, a fire protection facility layout plan includes one or more of the following: an architectural floor plan and a park location coordinate map. The layout of fire protection equipment can be shown on the architectural floor plan, as can the hazards protected by the fire protection equipment. The architectural floor plan has a unique spatial identifier, which is the coded ID of the fire protection facility layout plan.

[0041] The fire protection facility management platform's API interface call can obtain the coded ID of the fire protection facility layout plan. The fire protection facility management platform has a pre-opened dedicated interface for GIS resource query. By passing in request parameters such as permission verification token, geographic coordinates of the controlled area, and building number, it initiates a data request to the server's GIS service. After receiving the request, the server retrieves the GIS resource storage pool and matches the corresponding building plan.

[0042] In the fire protection facility management platform, the server's GIS map code is used as a unique primary key to identify the fire protection facilities and their associated IoT monitoring terminals bound to the code ID. The location information of the monitoring IoT devices for each fire protection facility with an associated code ID is obtained from the IoT device ledger database. The facility type, building, and specific location are extracted synchronously. Using the fire protection facility archives, the IoT device association intermediate table can be retrieved to determine the binding relationship between all fire protection facilities and monitoring terminals, enabling the GIS map, fire protection facilities, and IoT devices to be associated and matched.

[0043] In this embodiment, the GIS map of the fire protection facility management platform, combined with the building floor plan, is used to hierarchically label networked fire protection facilities, hazardous sources, and work areas. This allows for the inclusion of hazardous materials distribution data, integrated fire protection equipment monitoring distribution data, and high-frequency manual operation distribution data. Labeling this data on the GIS map of the fire protection facility management platform yields a regional distribution map of the fire protection facilities.

[0044] In one embodiment of this application, S100 further includes: S121, Select an IoT device for monitoring fire protection facilities.

[0045] S122, Locate the monitoring target of the selected monitoring IoT device in the fire protection facility management platform.

[0046] S123, retrieves the land area characteristic information and equipment type characteristic information of the monitored object.

[0047] S124 marks the land area characteristics and equipment type characteristics of the monitored objects in the fire protection facility area distribution data.

[0048] S125, return to the step of selecting a monitoring IoT device for a fire protection facility, until all monitoring IoT devices have been selected.

[0049] Specifically, the monitoring targets include fire-fighting facilities themselves and one or more hazardous chemicals.

[0050] Simply put, when monitoring hazardous chemicals, it's necessary to determine the characteristics of land use for hazardous chemical storage or industrial production. Hazardous chemical storage areas are mostly independent, enclosed rectangular blocks, with fire separation distances maintained from other buildings. Solid fencing is erected along the land boundaries, and flammable, explosive, and corrosive materials are stored in designated areas within the area. Industrial production areas encompass workshops and processing plants, including continuous assembly lines, fixed areas for hot work, and some small temporary hazardous waste storage sites. When the fire safety management platform issues an alert for these types of monitoring targets, patrol personnel need to promptly go to the location for verification. The distribution data of the monitoring targets marked in the fire safety facility area can generate patrol routes, reducing omissions in these key verification areas.

[0051] When the monitoring target is the fire protection facilities themselves, these facilities typically occupy roads, fire lanes, and green spaces, often in a narrow, elongated strip shape without fixed enclosures. Fire hydrants and pump connections are scattered along the routes. For example, underground parking garages, corridors, and transport corridors often have significant differences in length and width, with fire protection facilities arranged linearly along the longitudinal direction. Irregularly shaped areas are often found in old factories and renovated complexes, with irregular contours, scattered fire separations, and dispersed high-risk points. The fire protection facilities have clearly defined fire separation boundaries, including physical boundaries such as firewalls, fire-resistant roller shutters, solid walls, and safety barriers. In open-type areas, where fire protection facilities only need to cover the internal area, there are no continuous isolation boundaries, and the protection range extends outward to external passageways and the distance between adjacent buildings. Inspecting fire protection equipment in this type of area requires relatively accurate location information. In the original data on the distribution of fire protection facilities, each record stores basic spatial information such as the coordinates of the facility location, equipment type, GIS location code, and area code. Using the area GIS code as the foreign key, spatial overlay matching is performed to determine which monitoring object's land area each fire protection facility location belongs to. Through spatial inclusion relationships, the corresponding land area feature dataset is automatically matched and bound to complete the batch mounting and labeling of feature information. This allows the land area feature information of the monitoring object to be labeled in the fire protection facility distribution data.

[0052] Fire protection facilities include various types such as automatic fire alarm systems, fire water supply and extinguishing systems, smoke control and ventilation systems, fire-resistant partitions, fire power supply and emergency lighting systems, and hazardous chemical detection systems. These facilities have their own unique equipment type characteristics. Automatic fire alarm systems primarily collect switch signals and report them in real time to trigger alarm signals. Fire water supply and extinguishing systems are IoT-based numerical monitoring devices that can monitor analog indicators such as water pressure, level, and flow rate. Different types of fire protection equipment require specialized inspections by different personnel. Marking the equipment type characteristics on the fire protection facility area distribution data allows the fire protection facility management platform to match the appropriate inspection personnel based on the different types of fire protection equipment when issuing warnings, thus reducing the chance of overlooking any equipment during inspections.

[0053] In one embodiment of this application, S200 includes: S210, invoke the hazard standard library of the fire protection facility management platform.

[0054] S220, Select a monitoring object.

[0055] S230 uses the hazardous materials types in the hazard standard database to determine whether the monitored object is a hazardous material.

[0056] S240, If the monitored object is a dangerous good, then a dangerous good type label shall be assigned to the monitored object.

[0057] S250 If the monitored object is not a hazardous material, the risk classification assessment table is called to determine the risk level of the monitored object.

[0058] S260 uses the land area characteristics of the monitored object and the manual work area data of the hidden danger standard library to determine whether the land area of ​​the monitored object matches the manual work area.

[0059] S270 If the area occupied by the monitored object matches the area of ​​the manual operation zone, then the label of the high-frequency manual operation zone shall be assigned to the monitored object.

[0060] S280, if the area occupied by the monitored object does not match the area of ​​the manual operation zone, then it is determined that the monitored object is not in the high-frequency manual operation zone.

[0061] S290: Obtain information on all monitoring devices for the monitored object.

[0062] S290a uses information from all monitoring devices of the monitored object as integrated fire equipment monitoring distribution data.

[0063] S290b, return to the previous step of selecting a monitoring object, until all monitoring objects have been selected.

[0064] Specifically, the hazard standard database contains a national standard classification directory of hazardous materials. Using this database, hazardous materials can be professionally classified according to standards such as flammable and explosive, toxic and corrosive, compressed gases, and spontaneously combustible chemicals. Based on these classifications, various hazardous chemicals can be graded according to their corresponding fire and explosion risk coefficients, storage control regulations, supporting fire protection facility configuration standards, and IoT monitoring thresholds.

[0065] Simply put, the fire protection facility management platform also uses the hazardous chemical storage ledger and warehouse zoning vector surface data to make detailed judgments based on the storage category, quantity, and isolation and protection conditions. It distinguishes specific hazardous types such as gasoline, liquefied gas cylinders, and chemical solvents, and matches them with exclusive hazard judgment thresholds. For example, the combustible gas storage area is forcibly bound to a gas concentration warning threshold, and the corrosive chemical storage area is equipped with verification items for leakage and ventilation.

[0066] The risk classification assessment table of the fire protection facility management platform can be used to classify the risk of the monitored objects. The risk classification assessment table includes risks of hazardous sources, risks of personnel activities, fire protection facility protection capabilities, and risks of the site space itself.

[0067] Hazard source risk is assigned a value to the identified hazardous material type. Flammable and explosive hazardous chemicals, highly toxic and corrosive media, and high-pressure gas cylinder storage areas are matched with high risk coefficients, while ordinary raw material storage is assigned a lower score.

[0068] The personnel activity section uses the designation of high-frequency manual operation areas, instantaneous peak personnel flow, and frequency of hot work operations as scoring criteria. Areas with continuous cross-operations and uninterrupted day and night production and loading / unloading automatically have risk bonuses added.

[0069] The fire protection facilities guarantee section is scored based on the characteristics of the types of fire protection facilities and equipment within the plot. The lack of dedicated fire extinguishing equipment, gas detection equipment, insufficient coverage of IoT monitoring terminals, and frequent historical warnings of equipment will all result in a deduction of guarantee points.

[0070] The site space segment is calculated based on the characteristics of the monitored object's land area. Large-scale contiguous warehouses, multi-story enclosed factories, and irregularly shaped land with inadequate fire separation will increase the site's basic risk score.

[0071] The IoT sensor terminals of the monitored objects can form a comprehensive fire equipment monitoring distribution dataset. This dataset fully records the GIS location code, equipment category, monitoring function, and professional requirements for fault handling of each monitoring device. Using the equipment type and IoT sensor terminal as matching indexes, it searches the inspection personnel resource database and personnel qualification archive, ensuring that different monitoring objects and different types of monitoring equipment correspond to certified professional inspectors with specialized operational capabilities. Inspection work orders are generated using equipment monitoring data and personnel professional qualifications. By assigning inspection personnel with corresponding professional skills according to the monitoring equipment, it ensures that the hazard verification, parameter calibration, and fault handling of various IoT monitoring devices and fire protection facilities comply with fire protection professional standards, reducing the risk of missed inspections and misjudgments, and improving the reverse management and dynamic closed-loop management of fire protection facilities.

[0072] In this embodiment, a matching hazard standard library is used to determine the critical values ​​for tightening water pressure, concentration, and temperature warnings in high-risk areas. Verification items are analyzed, and inspection time limits are calculated to reduce the verification cycle and prevent omissions. GIS coding is used to retrieve IoT monitoring equipment and dispatch inspection work orders, prioritizing manpower for high-risk area verification items and shortening the warning response time. The GIS engine integrates layered labeling of data on fire-fighting equipment, hazardous materials distribution, and high-frequency operation areas within the monitoring area, connecting to the inspection standard library. Through linkage with the floor plan, corresponding inspection items and qualification thresholds are retrieved. Combined with IoT monitoring data, accurate acquisition of actual risks is ensured, generating a structured verification item table. Using the selected area on the floor plan as the target, basic equipment information, inspection item lists, and measured feedback data entry areas are integrated. The fire protection facility management platform's visually labeled floor plan of the monitoring area is used to call the inspection standard library and obtain the verification item table, forming a reverse management and dynamic closed-loop management of fire protection facilities.

[0073] In one embodiment of this application, S300 includes: S310 obtains the location information of each monitoring IoT device based on the regional distribution data of fire protection facilities.

[0074] S320, select a monitoring IoT device.

[0075] S330 retrieves information about the monitored object corresponding to the selected IoT monitoring device.

[0076] S340, determine whether the area feature information of the monitored object matches the location information of the monitoring IoT device.

[0077] S350, if the area feature information of the monitored object matches the location information of the monitoring IoT device, then the integrated fire equipment monitoring distribution data will be marked in the fire facility area distribution data.

[0078] S360: If the area feature information of the monitored object does not match the location information of the monitoring IoT device, the monitoring IoT device will report a location decoding error.

[0079] S370, analyzes the distribution data of integrated fire protection equipment monitoring.

[0080] S380 indicates the type of equipment for integrated fire protection equipment.

[0081] S390, return to the step of selecting a monitoring IoT device, until all monitoring IoT devices have been selected.

[0082] Specifically, the distribution data of fire protection facilities is stored in a spatial database. Information on the monitoring objects corresponding to the selected monitoring IoT devices is retrieved. Each piece of information includes spatial and attribute information such as facility GIS location code, plane coordinates, equipment type characteristics, the area occupied by the monitoring object, and the number of the supporting IoT monitoring device. This fully records the spatial layout of all facilities such as fire hydrants, alarm detectors, fire pumps, and fireproof roller shutters in the park, buildings, and zones.

[0083] The hazard data comes from IoT over-limit early warning, on-site inspection reports, and automatic judgment results from the hazard standard library. It includes the unique hazard code, associated facility ID, risk level, hazard type, occurrence time, rectification status, and business data related to hazardous materials and high-frequency operations.

[0084] The integrated fire protection equipment monitoring and distribution data is analyzed to determine the equipment types of the integrated fire protection equipment. This data is a comprehensive spatial dataset that integrates all networked IoT sensor terminals and physical fire protection facility locations within the jurisdiction. Using a fire protection equipment classification and coding system, the standardized equipment type corresponding to each integrated fire protection device is determined. After equipment type analysis, the equipment type label is written back to the corresponding record in the integrated fire protection equipment monitoring and distribution dataset, permanently stored using the GIS location code as the primary key. Simultaneously, all monitoring equipment within the area is automatically grouped and summarized according to major equipment categories, and the number and spatial distribution locations of each type of specialized equipment are statistically analyzed.

[0085] The fire protection facility management platform uses a GIS engine as the data fusion carrier. Through a dual matching mechanism of spatial association, code matching, and field mapping, it deeply integrates the regional distribution data of fire protection facilities across the entire area with standardized hazard data. It automatically generates a visually labeled plan map with risk markers, which intuitively presents the facility locations, spatial positions, and hazard issues, providing an information source for extracting and verifying projects, setting inspection time limits, and dispatching professional personnel.

[0086] The visualized and labeled plan can extract all matching data within the range and automatically generate a structured verification project table, supporting risk classification assessment, intelligent dispatch of inspection work orders, and professional personnel adaptation and scheduling. This reduces the omission of potential hazards in fire protection facilities within the monitoring area and provides data support for accurate hazard verification and dynamic closed-loop management.

[0087] In one embodiment of this application, S500 includes: S511, Establish a verification item table for the visual annotation plan of the monitoring area.

[0088] S512, the hazard type in the hazard data is used as the item to be verified in the verification item table.

[0089] S513 prioritizes the classification level in the hazard data as the scheduling timeliness priority for projects to be verified.

[0090] S514. Select a monitoring object based on the regional distribution data of fire protection facilities.

[0091] S515, based on the standard library for investigation and the labels of the high-frequency manual operation areas of the monitored objects, determine the minimum inspection cycle of the monitored objects.

[0092] S516, determine the maximum inspection cycle of the monitored object based on the inspection cycle of the monitored object's data on the distribution of hazardous materials.

[0093] S517 stipulates that the minimum and maximum inspection cycles of the monitored objects shall be used as the time periods for scheduling timeliness priority.

[0094] S518, return to the data on the distribution of fire protection facilities in different areas, select a monitoring object, and continue until all monitoring objects have been selected.

[0095] Understandably, the spatial layer range of the visually labeled plan is used as the filtering boundary to define all matched fire protection facility locations, IoT monitoring terminals, risk-labeled blocks, hazard source coverage areas, and high-frequency operation areas within the current monitoring area. Through GIS coding relationships, all comprehensive fire protection equipment monitoring distribution data within the area are extracted in batches. The equipment type, monitoring indicators, installation location, protected object land occupation characteristics, and real-time operating status of each piece of equipment are automatically analyzed to provide a basic equipment list for verifying the classification of the project.

[0096] Based on the hazard markings, risk thermal levels, and historical hazard records superimposed on the floor plan, the system automatically matches the corresponding inspection items, qualification thresholds, judgment standards, hazard types, and regulatory basis of the linked hazard standard library. It generates exclusive verification content for different equipment types, such as water pressure, liquid level, and water supply stability verification items for fire water supply equipment, sensitivity, online status, and alarm threshold verification items for detection equipment, temperature, leakage current, and power supply reliability verification items for electrical and power equipment, and automatically superimposed explosion-proof, anti-interference, high-frequency calibration, and emergency linkage verification items for equipment located in hazardous material areas and high-frequency operation areas.

[0097] Based on the classification and assignment of basic cycle parameters according to the frequency of operations on the plot, the peak of instantaneous personnel flow, and the intensity of cross-operations of hot work, the minimum inspection cycle of the monitoring object is generated for the plot with continuous high personnel density and normalized hot work procedures. This cycle represents the shortest interval between two on-site inspections of the same area. For ordinary areas with low operation intensity and less personnel activity, a longer minimum inspection cycle is corresponding to the minimum inspection cycle.

[0098] Read the vector data of hazardous materials distribution of the monitored objects, extract attributes such as the type of hazardous chemicals, total storage volume, fire isolation conditions, and explosion and combustion risk level, and compare them with the special inspection specifications for hazardous chemical storage in the inspection standard library to determine the maximum inspection cycle of the monitored objects. This cycle is the longest interval allowed between two complete inspections in the area. For plots with large hazardous material storage and prominent flammable and explosive properties, the maximum inspection cycle is significantly shortened to prevent risk gaps caused by long-term lack of on-site verification. For monitored objects that only store ordinary materials and have no hazardous chemical deployment, a more lenient maximum inspection interval applies.

[0099] In this embodiment, the hazard data across the entire area is classified into different levels, such as major hazards, significant hazards, and general hazards, using a hazard standard library. Each hazard record is associated with a monitoring object, and the monitoring object's GIS location code, the corresponding verification project entry, the monitoring object's land occupation characteristics, equipment type information, and the corresponding handling time cycle for each level of hazard are mapped to a scheduling priority weight.

[0100] In the work order scheduling and matching process, high-priority projects awaiting verification are identified and inspection resources are allocated. For verification projects marked as major hidden dangers on the floor plan, they are handled on the same day and matched with on-duty inspection personnel with the corresponding equipment professional qualifications, thereby shortening the response time for personnel allocation and reducing the absolute limit of inspection time.

[0101] In one embodiment of this application, S500 further includes: S521, select a monitoring IoT device.

[0102] S522, obtains monitoring data for each integrated fire protection device associated with the selected monitoring IoT device.

[0103] S523, Select a comprehensive fire protection system.

[0104] S524, based on the monitoring data of the selected integrated fire protection equipment, determine whether the working status of the integrated fire protection equipment is in an early warning state.

[0105] S525, if the working status of the integrated fire protection equipment is in the warning state, then obtain the initial time when the integrated fire protection equipment is in the warning state and the equipment type of the integrated fire protection equipment, and return to the step of selecting an integrated fire protection equipment until all integrated fire protection equipment has been selected.

[0106] S526 If the working status of the integrated fire protection equipment is not in the warning state, then return to the step of selecting one integrated fire protection equipment until all integrated fire protection equipment has been selected.

[0107] S527 generates a time cycle for scheduling timeliness priority based on the initial time when the integrated fire protection equipment is in an early warning state and the investigation standard library.

[0108] S528, based on the type of integrated fire protection equipment in the early warning state, coordinate with the inspection engineer type that matches the equipment type.

[0109] S529, return to the step of selecting a monitoring IoT device, until all monitoring IoT devices have been selected.

[0110] Specifically, the system reads all integrated fire protection equipment monitoring distribution data within the selected range one by one through a loop traversal mechanism. Using the preset judgment threshold of the hidden danger standard library as the comparison benchmark, it automatically determines whether the real-time operating condition of a single piece of equipment triggers an early warning. For equipment judged to be in an early warning condition, it simultaneously captures the early warning start time and equipment type identifier until all integrated fire protection equipment in the jurisdiction has been traversed and verified, providing data for verifying project generation, shift priority adjustment, and work order generation.

[0111] Understandably, the spatial filtering range is defined by relying on the visual annotation plan of the monitoring area, extracting the GIS point codes of all integrated fire protection equipment within the range and the corresponding IoT real-time monitoring data streams, constructing a list of equipment to be traversed, setting up loop reading logic, selecting a single integrated fire protection equipment in the list as the verification object in each loop, and independently retrieving the real-time monitoring indicators of the equipment, including dynamic values ​​such as water pressure, liquid level, gas concentration, line temperature, equipment opening and closing status, and power supply parameters.

[0112] The verification process uses the built-in threshold rules in the hazard standard library as the basis for judgment, distinguishing between two judgment modes: analog quantity value comparison and switch quantity status comparison. It calculates the current measured data of the equipment against the compliance range in real time. Once the monitored indicators exceed the normal allowable range, the equipment reports a fault offline signal, or the sensor terminal reports excessive leakage concentration, etc., the integrated fire protection equipment is determined to enter the early warning working state. If all monitoring parameters are within the standard compliance range, the equipment is online, and there are no abnormal alarms, it is marked as normal operating condition, and no additional early warning information is captured.

[0113] When a single device is identified as being in an alert state, the alert initiation time and the device type are extracted. The alert initiation time is the timestamp of the first time the IoT terminal reports an over-limit anomaly and triggers the alert rule, accurately recording the starting point of the risk. The device type is distinguished based on the pre-parsed classification tags within the comprehensive fire equipment monitoring distribution data, categorizing it as fire water supply monitoring, combustible gas detection, electrical fire monitoring, and fire door status collection. The alert initiation time, device type, device GIS code, monitored object's land occupation characteristics, and risk level are all bound and stored together.

[0114] After completing the verification and information extraction of a single device, the program automatically jumps to the loop process, selects the next unverified integrated fire protection equipment in the list, and repeats the entire process of monitoring data reading, early warning status determination, and feature information capture, continuously iterating and looping until all integrated fire protection equipment in the list has been traversed and there are no remaining devices to be verified.

[0115] In this embodiment, the completed timeliness cycle and priority weight are synchronously written into the corresponding verification project and inspection work order. The mobile terminal clearly displays the early warning start time, the latest allowed verification time limit, and the risk warning of overdue time. Multi-level reminders are automatically pushed when the cycle is approaching the critical node to ensure that the early warning equipment completes on-site verification within the specified time. The scheduling timeliness cycle is calculated based on the initial time of the comprehensive fire equipment early warning and the management rules of the inspection standard library as core parameters. At the same time, based on the standardized equipment type obtained from the early warning equipment analysis, inspection engineers with corresponding professional qualifications are accurately matched.

[0116] In one embodiment of this application, S700 includes: S710, establish a reference time axis.

[0117] S720, mark the current system time on the reference time axis.

[0118] S730, the time period for obtaining and verifying the scheduling priority of the project.

[0119] S740 marks the time period of the scheduling time priority on the reference time axis.

[0120] S750, in the reference time coordinate axis, obtain at least one time period for scheduling timeliness priority.

[0121] S760 obtains the time period of each verified project's scheduling priority and its proximity to the current system time in terms of urgency.

[0122] S770 uses proximity to urgency to determine the scheduling order of verified projects.

[0123] Understandably, after generating the dedicated shift time period for each verification project, the current system standard time on the server is read in real time as a unified timing benchmark. The remaining time between the system time and the deadline of the maximum inspection cycle of the project is calculated through numerical difference calculation. Combined with the minimum inspection cycle constraint interval, the urgency is quantified and graded. The time proximity is converted into a digital emergency level that can be used for work order sorting and manpower allocation, so as to realize the dynamic sorting of all projects to be verified according to the risk urgency.

[0124] For monitoring targets labeled with both hazardous materials distribution and high-frequency manual operation areas, the urgency level is automatically increased by one level for the same remaining time. For projects with earlier initial warning times and higher hazard levels, the urgency level is also weighted upwards, differentiating the urgency difference between warnings for ordinary equipment and warnings for high-risk scenarios. The urgency value is dynamically updated in real time. The platform polls the current system time every minute and recalculates the remaining time. As the system time progresses towards the maximum inspection cycle node, the urgency level of verified projects automatically increases step by step, and the work order is updated accordingly.

[0125] In one embodiment of this application, S900 includes: S910 generates inspection work orders for fire protection facilities by verifying the project's shift schedule and the type of inspection engineer that matches the equipment type.

[0126] S920: The local server establishes a communication connection with the mobile communication terminal of the inspection engineer.

[0127] S930 receives feedback information from mobile communication terminals.

[0128] S940, based on feedback information and inspection work orders for fire protection facilities, obtains the inspection conclusions of the inspection work orders for fire protection facilities.

[0129] Specifically, after the inspection personnel arrive at the corresponding fire protection facility location, they take on-site photos using the platform's dedicated watermark camera. The photos are automatically overlaid with unalterable shooting time, GPS location, equipment GIS code, and the inspection personnel's account watermark to form feedback information on the mobile communication terminal.

[0130] When receiving image streams, the primary key ID of the work order is extracted synchronously as a correlation index. The original real-shot image and the thumbnail preview image are stored in the file server. At the same time, the auxiliary fields such as image storage address, shooting time, and location coordinates are added to the inspection work order data table to complete the real-shot image and the target fire protection facility inspection work order.

[0131] The system retrieves and compares standard, intact image models of the corresponding fire-fighting facilities to automatically identify various visible hazards, such as fire extinguisher pressure failure, pipe leaks, open fire doors, obstructed detection equipment, aging wiring, and damaged emergency lights. Simultaneously, it extracts key information such as facility model, identification labels, and monitoring readings, outputting preliminary image assessment results. Based on this, the platform links real-time monitoring data of the integrated fire-fighting equipment associated with the work order, comparing IoT values ​​such as water pressure, liquid level, gas concentration, and equipment online operating conditions. It also conducts comprehensive cross-verification by combining the corresponding equipment type's qualification thresholds in the hazard standard library with inspection specifications, taking into account both visual image features and digital monitoring indicators to avoid misjudgments caused by relying solely on image recognition.

[0132] Management personnel can retrieve images from the backend to verify the reasonableness of the inspection conclusions, and manual modification and supplementary remarks are supported to improve the inspection opinions. The generated inspection conclusions are linked to all business modules of the platform. If the conclusion indicates potential risks, the system automatically updates the verification project status, prioritizes the corresponding project's scheduling, and re-assigns a professional inspection engineer to a review work order based on the equipment type. If the conclusion is that the equipment is intact and compliant, the start date of the inspection cycle for that monitored object is updated, and the next verification schedule is postponed.

[0133] like Figure 2 As shown, the fire protection facility reverse management and dynamic closed-loop management system provided by the present invention includes: Server 100 is used to implement reverse management and dynamic closed-loop management methods for fire protection facilities.

[0134] The memory 200 is communicatively connected to the server 100.

[0135] The mobile communication terminal 300 is communicatively connected to the server 100.

[0136] The fire protection facility management platform calls the fire protection facility area distribution data stored in the storage device 200. The server 100 determines the distribution data of fire protection facilities through the map, quickly identifies the facility layout in high-risk areas, and combines multi-dimensional data such as the distribution of hazardous sources and the density of people to accurately locate hidden dangers in fire protection facilities and strengthen risk prevention and control.

[0137] Based on the hazard standard library of the fire protection facility management platform, hazard data is obtained and a visually labeled plan of the monitoring area is generated. Server 100 accurately calls three types of core data stored in storage 200 through the platform interface: distribution of hazardous materials, monitoring of integrated fire protection equipment, and high-frequency manual operations. After multi-source data cleaning and association are completed by the GIS engine with a unified coordinate system, and then a visual layer of hazardous material risk heat, real-time equipment status, and operation activity trajectory is overlaid on the building plan or urban vector map as the base. Server 100 realizes the spatial association between risk points and fire protection resources through labeling rules, and realizes the acquisition of hazard distribution results.

[0138] Server 100 retrieves the visualized floor plan, integrates the data of fire-fighting equipment, hazardous materials distribution, and high-frequency operation areas within the monitoring area using a GIS engine, and connects to the inspection standard library. Through linkage with the floor plan, Server 100 retrieves the corresponding inspection items and qualification thresholds, and combines IoT monitoring data to ensure accurate acquisition of actual risks, generating a structured verification item table. Taking the selected area on the floor plan as the target, Server 100 integrates basic equipment information, inspection item list, and actual measurement feedback data entry area, and uses the visualized floor plan of the monitoring area of ​​the fire protection facility management platform to call the inspection standard library and obtain the verification item table, forming reverse management and dynamic closed-loop management of fire protection facilities.

[0139] The monitoring area visualization map of the fire protection facility management platform integrates spatial data such as the distribution of fire protection facilities, hazardous materials storage, and high-frequency operations. Server 100, linked to real-time IoT monitoring of equipment status, historical hazards, and environmental parameters, constructs a structured verification item table. Based on the hazard type and inspection time limit for each verification item in the table, inspection work orders for fire protection facilities are created. Server 100 constructs a dynamic closed-loop management system through the fire protection facility management platform. By integrating multi-dimensional data from real-time feedback from IoT devices and regional risk data, Server 100 incorporates human resources and time / space windows into work order matching and flexible scheduling factors, reducing overlaps between early warning data and verification cycles. Mobile communication terminal 300 captures on-site images using a platform-dedicated watermark camera. The photos are automatically overlaid with unalterable shooting time, GPS location, equipment GIS code, and inspector account watermarks to form feedback information from the mobile communication terminal. This mobile terminal-driven inspection feedback verification and loop reinforcement strengthen the execution closed loop, forming a data-driven early warning and inspection work order matching execution closed-loop control system.

[0140] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for reverse management and dynamic closed-loop management of fire protection facilities, characterized in that, include: Access fire protection facility area distribution data on the fire protection facility management platform; Hazard data is obtained by utilizing the hazard standard database of the fire protection facility management platform; the hazard data includes hazardous materials distribution data, integrated fire protection equipment monitoring distribution data, and high-frequency manual operation distribution data. Match the regional distribution data of fire protection facilities with the data on potential hazards; Obtain a visually labeled floor plan of the monitoring area of ​​the fire protection facility management platform; Call the standard library for investigation and obtain the verification item list of the visual annotation plan of the monitored area; Select one verification item from the inspection item list; Based on the early warning and hazard data from the fire protection facility management platform, the project is analyzed and verified; Obtain the inspection time limit for each verification item in the verification item list; Based on the hazard type and inspection time limit for each verified item in the verification item list, an inspection work order for fire protection facilities is created so that the fire protection facility management platform can receive inspection feedback.

2. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 1, characterized in that, The process of retrieving fire protection facility area distribution data from the fire protection facility management platform includes: Receive at least one fire protection facility layout plan; Select a fire protection facility layout plan; Obtain the code ID of the selected fire protection facility layout plan; Using the coded IDs of the fire protection facility layout plan, the monitoring IoT devices of the fire protection facilities associated with the coded IDs can be found in the fire protection facility management platform; Obtain the location information of the monitoring IoT device for each fire protection facility with an associated coded ID; Match the location range information of the selected fire protection facility layout plan with the location information of the monitoring IoT devices of the fire protection facilities; Obtain data on the regional distribution of fire protection facilities; Return to the previous step and select a fire protection facility layout plan until all fire protection facility layout plans have been selected.

3. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 2, characterized in that, The method of retrieving fire protection facility area distribution data from the fire protection facility management platform also includes: Select an IoT device for monitoring fire safety facilities; Locate the monitored objects of the selected IoT monitoring devices in the fire protection facility management platform; The system retrieves the land area and equipment type characteristics of the monitored objects; the monitored objects include fire-fighting facilities themselves and one or more hazardous chemicals. The land area characteristics and equipment type characteristics of the monitored objects are marked in the fire protection facility area distribution data; Return to the previous step and select a monitoring IoT device for a fire protection facility until all monitoring IoT devices have been selected.

4. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 3, characterized in that, The method of obtaining hazard data by utilizing the hazard standard database of the fire protection facility management platform includes: Access the hazard standard database of the fire protection facilities management platform; Select a monitoring object; Use the hazardous materials types in the hazard standard database to determine whether the monitored object is a hazardous material; If the monitored object is a hazardous material, then a hazardous material type label will be assigned to the monitored object; If the monitored object is not a hazardous material, the risk classification assessment table is used to determine the risk level of the monitored object; By using the land area characteristics of the monitored object and the manual work area data of the hidden danger standard library, it can be determined whether the land area of ​​the monitored object matches the manual work area; If the area occupied by the monitored object matches the area of ​​manual operation, then the label of high-frequency manual operation area will be assigned to the monitored object. If the area occupied by the monitored object does not match the area of ​​manual operation, then it is determined that the monitored object is not located in the high-frequency manual operation area. Obtain information on all monitoring devices for the monitored object; The information of all monitoring equipment of the monitored object is used as comprehensive fire protection equipment monitoring distribution data; Return to the previous step and select a monitoring object until all monitoring objects have been selected.

5. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 4, characterized in that, The process of matching the regional distribution data of fire protection facilities with the hazard data includes: Based on the regional distribution data of fire protection facilities, the location information of each monitoring IoT device is obtained; Select a monitoring IoT device; Retrieve information about the monitored object corresponding to the selected IoT monitoring device; Determine whether the footprint characteristics of the monitored object match the location information of the monitoring IoT devices; If the location information of the monitored object matches the location information of the monitoring IoT device, the integrated fire equipment monitoring distribution data will be marked in the fire facility area distribution data. If the location feature information of the monitored object does not match the location information of the monitoring IoT device, a location decoding error message will be returned for the monitoring IoT device. Analysis of integrated fire protection equipment monitoring distribution data; The types of equipment for obtaining integrated fire protection equipment; Return to the previous step and select a monitoring IoT device until all monitoring IoT devices have been selected.

6. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 5, characterized in that, The process of calling the standard library for investigation and obtaining the verification item table of the visually labeled planar map of the monitored area includes: Establish a verification item table for the visually labeled plan view of the monitored area; The hazard types in the hazard data will be used as the items to be verified in the verification item table; The classification level in the hazard data will be used as the priority for scheduling the timeliness of the projects to be verified. Based on the regional distribution data of fire protection facilities, select a monitoring target; Based on the screening standard library and the labels of the high-frequency manual operation areas of the monitored objects, the minimum inspection cycle of the monitored objects is determined; The maximum inspection cycle for the monitored objects is determined based on the inspection cycle of the monitored objects' data on the distribution of hazardous materials. The minimum and maximum inspection cycles of the monitored objects are used as the time periods for scheduling timeliness priority. Return to the data on the distribution of fire protection facilities in different areas, select a monitoring object, and repeat until all monitoring objects have been selected.

7. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 6, characterized in that, The step of calling the standard library for investigation and obtaining the verification item table of the visual annotation plan of the monitored area also includes: Select a monitoring IoT device; Obtain monitoring data for each integrated fire protection device associated with the selected monitoring IoT device; Choose a comprehensive fire protection system; Based on the monitoring data of the selected integrated fire protection equipment, determine whether the integrated fire protection equipment is in an early warning state; If the integrated fire protection equipment is in an early warning state, then obtain the initial time when the integrated fire protection equipment is in an early warning state and the equipment type of the integrated fire protection equipment, and return to the step of selecting an integrated fire protection equipment until all integrated fire protection equipment has been selected; If the working status of the integrated fire protection equipment is not in the warning state, return to the step of selecting one integrated fire protection equipment until all integrated fire protection equipment has been selected; Based on the initial time when the integrated fire protection equipment is in an early warning state and the investigation standard library, a time period for scheduling timeliness priority is generated; Based on the type of integrated fire protection equipment in the early warning state, select the inspection engineer type that matches the equipment type; Return to the previous step and select a monitoring IoT device until all monitoring IoT devices have been selected.

8. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 7, characterized in that, The analysis and verification of early warning and hazard data based on the fire protection facility management platform includes: Establish a reference time axis; Mark the current system time on the reference time axis; Timeframe for obtaining and verifying the scheduling priority of projects; Mark the time period of the scheduling priority on the reference time axis; In the reference time axis, obtain at least one time period for scheduling timeliness priority; Obtain the time frame for the scheduling priority of each verified project and its urgency in relation to the current system time. By prioritizing urgency, the scheduling order of verified projects can be obtained.

9. The method for reverse management and dynamic closed-loop management of fire protection facilities according to claim 8, characterized in that, Based on the hazard type and inspection time limit for each verified item in the verification item list, an inspection work order for fire protection facilities is established so that the fire protection facility management platform can receive inspection feedback, including: By verifying the project's shift schedule and matching the inspection engineer type with the equipment type, inspection work orders for fire protection facilities are generated. The local server establishes a communication connection with the inspection engineer's mobile communication terminal; Receive feedback information from mobile communication terminals; Based on feedback information and inspection work orders for fire protection facilities, the inspection conclusions of the inspection work orders for fire protection facilities are obtained.

10. A reverse management and dynamic closed-loop management system for fire protection facilities, characterized in that, include: A server is configured to execute the fire protection facility reverse management and dynamic closed-loop management method as described in any one of claims 1 to 9; The memory is communicatively connected to the server. A mobile communication terminal that communicates with the server.

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