Remote monitoring method and system based on fireproof door monitoring module

Abstract

The invention provides a remote monitoring method and system based on a fireproof door monitoring module, and relates to the technical field of fireproof safety monitoring, and the method comprises the steps: constructing a fireproof function simulation model of a building; m fireproof door monitoring modules are pre-deployed; after M pieces of real-time state information of the M fireproof door monitoring modules are collected, the function availability of the fireproof door is judged; performing dynamic evacuation path fitting after spatial mapping of the fault fireproof door in the fireproof function simulation model; according to the fireproof influence degree, operation and maintenance priority ranking of the faulted fireproof door is carried out, and a hierarchical operation and maintenance priority sequence is output. The technical problem that the operation and maintenance management efficiency of the fireproof door is low due to the fact that the influence on the whole cannot be evaluated in time when a single fireproof door fails in the prior art is solved, collective availability judgment of the fireproof door combination is performed by monitoring the state of each fireproof door in real time and based on fire escape path fitting, and the operation and maintenance efficiency of the fireproof door combination is improved. And the operation and maintenance management efficiency of fireproof door monitoring is improved.

Description

Technical Field

[0001] The present application relates to the field of fire safety monitoring technology, and in particular to a remote monitoring method and system based on a fire door monitoring module. Background Art

[0002] Buildings are usually equipped with several fire doors to achieve overall fire zone separation in the building. The failure of a fire door is not an isolated incident and will affect the entire fire partition and escape route. Existing fire door monitoring modules usually focus on the status of a single fire door (such as whether it is open, whether it is locked, etc.), but lack an overall assessment of the collaborative work of multiple fire doors. In particular, when a single fire door fails, its impact on the overall situation and fire escape routes cannot be assessed in a timely manner. Traditional fire door monitoring methods mostly use local monitoring methods, relying on manual inspections and simple sensor alarms. When a fire door fails, it can only provide local and isolated information. There is a lack of overall consideration of the fire partitions and escape routes of the entire building. It is impossible to quickly determine which failures have the greatest impact on building safety and which ones need to be handled as a priority, thereby affecting the operation and maintenance efficiency of fire door monitoring.

[0003] In summary, the existing technology has a technical problem in that it is impossible to timely assess the impact on the entire system when a single fire door fails, resulting in inefficient fire door operation and maintenance management, which further affects the efficiency and safety of fire emergency response. Summary of the Invention

[0004] The purpose of this application is to provide a remote monitoring method and system based on a fire door monitoring module to solve the technical problem in the prior art that when a single fire door fails, it is impossible to timely assess the impact on the entire system, resulting in low efficiency in fire door operation and maintenance management, which further affects the efficiency and safety of fire emergency response.

[0005] In view of the above problems, the present application provides a remote monitoring method and system based on a fire door monitoring module.

[0006] In the first aspect, the present application provides a remote monitoring method based on a fire door monitoring module, wherein the remote monitoring method based on the fire door monitoring module is implemented by a remote monitoring system based on the fire door monitoring module, wherein the remote monitoring method based on the fire door monitoring module comprises: constructing a fire protection function simulation model of a building based on building fire protection base data; pre-deploying M fire door monitoring modules for M building fire doors in the building, wherein the fire door monitoring module integrates a door magnetic sensor unit, a status monitoring unit and a communication unit; the remote monitoring platform collects the M fire door status information through remote polling After obtaining M real-time status information of the fire door monitoring module, the fire door function availability is determined based on the M real-time status information, and N faulty fire doors are located; after spatially mapping the N faulty fire doors in the fire function simulation model, the static evacuation path data is used as a constraint, combined with the partition failure diffusion simulation, a dynamic evacuation path fitting is performed to quantify N fire impacts, wherein the static evacuation path data is extracted from the building fire protection base data; the operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire impacts, and a hierarchical operation and maintenance priority sequence is output.

[0007] Optionally, the building fire protection base data of the building is interactively obtained, wherein the building fire protection base data includes basic building design information and static fire protection design information, and the static fire protection design information includes fire door feature data, fire partition topology data and the static evacuation path data; a basic BIM model of the building is constructed based on the basic building design information; the fire door feature data and fire partition topology data are integrated into fire protection function logic rules; the fire protection function logic rules are used to execute the fire protection function logic embedding of the basic BIM model to generate the fire protection function simulation model.

[0008] Optionally, a device address sequence is preset, and the remote monitoring platform uses a preset polling period as a timing constraint and the device address sequence as an addressing constraint, and broadcasts a status query instruction frame to the M fire door monitoring modules through M communication units; the M fire door monitoring modules respond to the status query instruction frame and return M status response frames to the remote monitoring platform, wherein the status response frame includes a door magnetic status bit and a device health status bit; M design type identifiers of the M building fire doors are extracted from the fire protection function simulation model; M local status determination rules are configured according to the M design type identifiers; the M local status determination rule mapping is used to perform door-by-door status verification of the M status response frames to locate the N faulty fire doors.

[0009] Optionally, the M local status determination rule mappings are used to perform door-by-door status verification of the M status response frames to locate multiple initial fault doors; after shortening the preset polling cycle to obtain an update verification cycle, the update verification cycle is used to perform instantaneous abnormality verification of the multiple initial fault doors to obtain multiple instantaneous verification status sequences; based on the continuous abnormality distribution of the multiple instantaneous verification status sequences, the N faulty fire doors are screened and located among the multiple initial fault doors.

[0010] Optionally, the device address sequence is dynamically updated according to the real-time status change characteristics of the M building fire doors.

[0011] Optionally, the static evacuation path data is decomposed to obtain a path node sequence, a topological connection relationship and a path weight coefficient; the N faulty fire doors are spatially mapped in the fire protection function simulation model to obtain the fire partition affiliations of the N faulty doors; a fire partition cascade topology diagram is generated by integrating the fire partition affiliations of the N faulty doors into the topological connection relationship; with the fire partition affiliations of the N faulty doors as the root node, a breadth-first traversal is performed based on the fire partition cascade topology diagram to generate a failure propagation tree diagram; the path node sequence and the path weight coefficient are used as attenuation simulation input parameters to perform a connectivity attenuation simulation of the failure propagation tree diagram, and the N fire protection impacts of the N faulty fire doors are quantified and output.

[0012] Optionally, using the path weight coefficient as a dynamic attenuation factor, a connectivity attenuation propagation simulation of the failure propagation tree diagram is performed along the path node sequence, and a dynamic failure thermal distribution diagram is output; based on the dynamic failure thermal distribution diagram, a path attenuation loss value aggregation calculation is performed to output N fire impact degrees of the N faulty fire doors.

[0013] Optionally, after interactively obtaining multiple sample fire risk coefficients of multiple sample fire partitions, N real-time fire risk coefficients to which the N faulty door fire partitions belong are matched and obtained; multiple sample operation and maintenance priorities of multiple sample fault types are interactively obtained; after retrieving N real-time fault attributes of the N faulty fire doors, N initial operation and maintenance priorities of the N real-time fault attributes are matched and obtained; the N faulty fire doors are hierarchically sorted according to the N initial operation and maintenance priorities to obtain an initial hierarchical operation and maintenance sequence; operation and maintenance priority compensation of the initial hierarchical operation and maintenance sequence is performed according to the dynamic compensation weights of the N real-time fire risk coefficients and the N fire impact degrees, and the hierarchical operation and maintenance priority sequence is output.

[0014] Optionally, the operation and maintenance response time consumption is predicted for the hierarchical operation and maintenance priority sequence, and a hierarchical operation and maintenance response duration set is output; the hierarchical operation and maintenance response duration set is traversed based on a preset response time limit, and the over-limit task set is located; the hierarchical operation and maintenance priority sequence is decomposed according to the over-limit task set to obtain multiple parallel sub-task packages; the multiple parallel sub-task packages are allocated to a distributed operation and maintenance group, and the operation and maintenance tasks are executed in parallel.

[0015] In the second aspect, the present application also provides a remote monitoring system based on a fire door monitoring module, which is used to execute the remote monitoring method based on the fire door monitoring module as described in the first aspect, wherein the remote monitoring system based on the fire door monitoring module includes: a model construction module, which is used to construct a fire protection function simulation model of a building based on the building fire protection base data; a monitoring deployment module, which is used to pre-deploy M fire door monitoring modules for M building fire doors in the building, wherein the fire door monitoring module is integrated with a door magnetic sensor unit, a status monitoring unit and a communication unit; a function availability determination module, which is used for the remote monitoring platform to collect the M fire door status information through remote polling After receiving M real-time status information from the monitoring module, the fire door function availability is determined based on the M real-time status information, and N faulty fire doors are located; a dynamic evacuation path fitting module is used to spatially map the N faulty fire doors in the fire protection function simulation model, and then use the static evacuation path data as a constraint to perform dynamic evacuation path fitting in combination with the partition failure diffusion simulation to quantify N fire impacts, wherein the static evacuation path data is extracted from the building fire protection base data; an operation and maintenance priority sorting module is used to sort the operation and maintenance priorities of the N faulty fire doors according to the N fire impacts, and output a hierarchical operation and maintenance priority sequence.

[0016] One or more technical solutions provided in this application have at least the following beneficial effects: A fire protection function simulation model of a building is constructed based on the building fire protection base data; M fire door monitoring modules are pre-deployed on M building fire doors in the building, wherein the fire door monitoring modules are integrated with a door magnetic sensor unit, a status monitoring unit and a communication unit; after the remote monitoring platform collects M real-time status information of the M fire door monitoring modules through remote polling, the fire door function availability is determined based on the M real-time status information, and N faulty fire doors are located; after the N faulty fire doors are spatially mapped in the fire protection function simulation model, the static evacuation path data is used as a constraint, combined with the partition failure diffusion simulation, a dynamic evacuation path fitting is performed, and N fire protection impact degrees are quantified, wherein the static evacuation path data is extracted from the building fire protection base data; the operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire protection impact degrees, and a hierarchical operation and maintenance priority sequence is output. In other words, by constructing a fire protection function simulation model of the building, pre-deploying M fire door monitoring modules and collecting status information in real time, the fire door function availability of each fire door is determined based on the real-time status information, the faulty fire door is located, and the dynamic evacuation path is fitted by combining static evacuation path data and partition failure diffusion simulation. The fire protection impact is quantified, and the operation and maintenance priority of the faulty fire doors is sorted. This improves the operation and maintenance management efficiency of the fire doors, thereby improving the efficiency of the fire emergency response.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0019] Figure 1 This is a flow chart of the remote monitoring method based on the fire door monitoring module of this application.

[0020] Figure 2 This is a structural diagram of the remote monitoring system based on the fire door monitoring module of this application.

[0021] Description of the accompanying drawings: model building module 11, monitoring deployment module 12, function availability determination module 13, dynamic evacuation path fitting module 14, operation and maintenance priority sorting module 15. DETAILED DESCRIPTION

[0022] This application provides a remote monitoring method and system based on a fire door monitoring module, addressing the existing technical issues of inefficient fire door operation and maintenance management, which further impacts the efficiency and safety of fire emergency response due to the inability to timely assess the overall impact of a single fire door failure. By constructing a fire function simulation model for a building, pre-deploying M fire door monitoring modules, and collecting status information in real time, the system determines the functional availability of each fire door based on the real-time status information, locates faulty fire doors, and dynamically fits evacuation paths by combining static evacuation path data and zoning failure diffusion simulations. The fire impact is quantified, and the operation and maintenance priority of faulty fire doors is prioritized. This improves the efficiency of fire door operation and maintenance management, thereby improving the efficiency of fire emergency response.

[0023] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0024] For example, see the attached Figure 1 The present application provides a remote monitoring method based on a fire door monitoring module, wherein the remote monitoring method based on the fire door monitoring module is executed by a remote monitoring system based on the fire door monitoring module, and the remote monitoring method based on the fire door monitoring module specifically includes the following steps: Construct a building's fire protection function simulation model based on building fire protection base data.

[0025] Furthermore, the present application also includes the following steps: interactively obtaining the building fire protection base data of the building, wherein the building fire protection base data includes basic building design information and static fire protection design information, and the static fire protection design information includes fire door feature data, fire partition topology data and the static evacuation path data; constructing a basic BIM model of the building based on the basic building design information; fusing the fire door feature data and fire partition topology data into fire protection function logic rules; and using the fire protection function logic rules to execute the fire protection function logic embedding of the basic BIM model to generate the fire protection function simulation model.

[0026] Specifically, by interacting with building management systems (such as Building Information Management (BIM) systems), the system collects building fire protection foundation data, including basic building design information and static fire protection design information. Basic building design information includes design data such as the building's structure, layout, materials, dimensions, and floor distribution, defining the building's overall structural framework. Static fire protection design information is static information related to building fire safety, including fire door characteristics, fire compartment topology data, and static evacuation path data. Fire door characteristics include data such as the location, ID, and design type of the fire door, describing the specific configuration and design requirements of the fire door. Fire compartment topology data describes the layout and interrelationships of fire compartments, such as firewalls and medians, defining fire-isolated areas within the building. Static evacuation path data describes escape routes within the building, including emergency exits, stairwells, and evacuation passages, ensuring safe evacuation of personnel in the event of a fire. For example, basic building design information may include a building with a total height of 100 meters, 20 floors, and an area of ​​500 square meters per floor. Static fire protection design information includes the fire door ID, location, and design type (e.g., fire door ID FDM-01, located on the east side of the 3rd floor, is designed as an EI60 fire door). Fire zoning topology data might include dividing each floor into two fire zones: Zone A and Zone B, separated by a firewall. Static evacuation route data includes the path from each floor to the nearest emergency exit.

[0027] Using basic architectural design information, a basic BIM model of the building is constructed, digitally reproducing the building's spatial layout, structural distribution, and system settings. Each building component in the basic BIM model includes detailed geometric information and performance data. Using BIM software (such as Revit or ArchiCAD), each floor, fire door, and fire compartment of the building is precisely modeled. The basic BIM model includes the building's exterior facade, interior structure, floor layout, and fire protection facilities. A BIM model digitally represents the building's design, construction, and operation information, including detailed data such as the building's geometry, structure, and systems.

[0028] Fire protection logic rules are developed based on fire door feature data (such as location, ID, and design type) and fire compartment topology data (such as firewall location and the division of fire zones). These rules describe how the door's state affects the integrity of the fire compartment and define how changes in the door's state affect the integrity and fire protection function of the fire compartment. For example, if a fire door is located between fire compartments A and B, if it is closed, it effectively separates the two fire compartments. However, if the door is open, a fire could spread through the door to other areas, rendering the fire compartment ineffective.

[0029] Embedded within the foundational BIM model, the fire protection logic rules are embedded in the model to simulate the impact of fire door dynamics (such as opening, closing, and damage) on the building's fire protection and evacuation routes. The fire protection simulation model demonstrates the spatial binding relationship between fire door entities and building components, and the ability to deduce the dynamic impact of door state transitions on the integrity of fire compartments. This model can simulate how changes in fire door status affect the integrity of the entire fire compartment and the evacuation routes of personnel during a fire. For example, if fire door FDM-01 malfunctions and cannot be closed, the fire protection simulation model can analyze the impact on the fire separation between fire compartments A and B and assess its potential impact on evacuation routes (e.g., whether the evacuation routes on certain floors will be blocked by fire). By establishing a fire protection simulation model, it is possible to comprehensively assess the impact of a single fire door failure on the entire building's fire compartments and escape routes.

[0030] M fire door monitoring modules are pre-deployed on M building fire doors in a building, wherein the fire door monitoring module integrates a door magnetic sensor unit, a status monitoring unit and a communication unit.

[0031] Specifically, the location and number of fire doors are planned based on the building's fire safety requirements. A fire door monitoring module is an integrated device installed on each fire door. It monitors the door's operating status in real time. Using sensors and communication technology, it promptly detects any malfunction, incompleteness, or tampering with the door. For example, if a large building has 20 fire doors, each door will be equipped with a separate fire door monitoring module. M fire door monitoring modules are pre-deployed on M fire doors in the building, where M is a positive integer greater than or equal to 2 and represents the number of fire doors in the building. Each fire door monitoring module integrates three main functional units: a magnetic sensor unit, a status monitoring unit, and a communication unit. The magnetic sensor unit detects the door's open or closed status in real time. If the door is open and should be closed, the magnetic sensor triggers an alarm. The status monitoring unit monitors other functional parameters of the fire door, such as door lock status, door temperature, and humidity. If the temperature of a fire door exceeds a set value (e.g., over 50°C), the fire door is considered to be potentially affected by fire, and an alert is sent via the status monitoring unit. Through the communication unit, the fire door monitoring module transmits all real-time data to the building's remote monitoring platform, typically via a wireless network. For example, if a fire door fails to close as required, an alert is automatically sent to the relevant personnel.

[0032] The remote monitoring platform receives real-time information from all fire door monitoring modules and integrates and analyzes the operating status of each fire door. If a fire door exhibits abnormal status, it is automatically marked as faulty. Maintenance priority is determined based on the door's importance to the building's fire compartmentation (for example, whether it impacts escape routes). Through the collaborative operation of the door magnetic sensor unit, the status monitoring unit, and the communication unit, the operating status of fire doors can be accurately monitored in real time. If a fire door exhibits any fault (such as an open door, malfunction, or sensor anomaly), the fire door monitoring module promptly issues a warning and displays the specific location, ensuring the door's reliability.

[0033] After the remote monitoring platform collects M real-time status information of the M fire door monitoring modules through remote polling, it determines the availability of the fire door functions based on the M real-time status information and locates N faulty fire doors.

[0034] Furthermore, the present application also includes the following steps: presetting a device address sequence, the remote monitoring platform uses a preset polling period as a timing constraint and the device address sequence as an addressing constraint, and broadcasts a status query instruction frame to the M fire door monitoring modules through M communication units; the M fire door monitoring modules respond to the status query instruction frame and return M status response frames to the remote monitoring platform, wherein the status response frame includes a door magnetic status bit and a device health status bit; extracting M design type identifiers of the M building fire doors from the fire protection function simulation model; configuring M local status determination rules according to the M design type identifiers; and using the M local status determination rule mapping to perform door-by-door status verification of the M status response frames to locate the N faulty fire doors.

[0035] Furthermore, the present application also includes the following steps: using the M local status determination rule mappings to perform door-by-door status verification of the M status response frames to locate multiple initial faulty doors; limiting the preset polling cycle to obtain an update verification cycle, and then using the update verification cycle to perform instantaneous abnormality verification of the multiple initial faulty doors to obtain multiple instantaneous verification status sequences; based on the continuous abnormality distribution of the multiple instantaneous verification status sequences, screening and locating the N faulty fire doors among the multiple initial faulty doors.

[0036] Furthermore, the present application also includes the following steps: dynamically updating the device address sequence according to the real-time status change characteristics of the M building fire doors.

[0037] Specifically, during the initialization phase, the remote monitoring platform assigns a unique device address to each fire door monitoring module and generates a device address sequence. The device address sequence is a unique identifier assigned to each fire door monitoring module. It is typically numbered according to a specific sequence or rule and is preset during initialization to ensure that each device can be uniquely identified and addressed during polling and querying. The preset device address sequence may be represented by numbers or letters (e.g., Device 1, Device 2, ..., or Device A, B, C, ...). Devices are queried one by one according to this sequence.

[0038] The remote monitoring platform is a centralized management system that receives, processes, stores, and analyzes status information from all fire door monitoring modules. It can send status query commands based on a sequence of device addresses, asking each fire door monitoring module for its current status. The remote monitoring platform sets a preset polling cycle, which is the time interval at which the remote monitoring platform periodically sends status query commands. For example, the platform may send status queries to the fire door monitoring modules every 30 seconds, 1 minute, or 5 minutes. This preset polling cycle controls the periodic inspection interval of the remote monitoring platform for M building fire doors.

[0039] During a preset polling cycle, the remote monitoring platform sends status query command frames to each fire door monitoring module based on the device address sequence, sending query commands one by one in the order specified in the device address sequence. For example, the platform sequentially sends query commands to device 1 to inquire about its status, then to device 2, and so on until the last device. Through M communication units, the remote monitoring platform broadcasts status query command frames to each of the M fire door monitoring modules in parallel. Each command frame carries the information to be queried, such as the device address and query type, ensuring that each fire door monitoring module can recognize and respond to the corresponding query command. The status query command frame is a command message sent by the remote monitoring platform to the fire door monitoring module. It contains information such as the purpose of the query and the command type, and is used to request that the fire door monitoring module return its current status (such as the door sensor status and device health status).

[0040] In response to the status query command frame sent by the remote monitoring platform, each fire door monitoring module returns a corresponding status response frame, which contains the fire door's door sensor status (e.g., open / closed) and the door's health status (e.g., normal operation or fault). A status query command frame refers to the response data sent back to the remote monitoring platform by the fire door monitoring module after receiving the query command. The status response frame is the fire door monitoring module's response to the query command and contains relevant fire door status information, such as the door sensor status bit (whether the door is open) and the device health status bit (the health status of the fire door). For example, if the door sensor status of fire door 1 is closed, the device health status bit is healthy; if the door sensor status of fire door 2 is closed, the device health status bit is healthy; if the door sensor status of fire door 3 is open, the device health status bit is faulty; if the door sensor status of fire door 4 is closed, the device health status bit is healthy; and if the door sensor status of fire door 5 is open, the device health status bit is faulty. Fire doors 1, 2, and 4 are in normal status; fire doors 3 and 5 are faulty (the doors are not closed and the device status is faulty).

[0041] M design type identifiers for M building fire doors are extracted from the fire protection functional simulation model. These identifiers typically include the design specifications and functional category of each fire door, including the fire door type (e.g., EI60, EI90, glass fire door), design dimensions, fire resistance rating, and material. Each fire door has unique design requirements, which are reflected in the design type identifier. The M design type identifiers represent the individual design specifications and requirements for each of the M fire doors in the building. Based on these M design type identifiers, M local status determination rules are configured to determine whether the fire door is in normal working order. The status determination rules for each fire door may vary, depending on its design type and functional requirements. For example: For fire door 1, the design type identification may require that the door be fireproof within 60 minutes, so the status determination rules include: whether the door is closed, the door locking device is working properly, there is no obvious damage around the door, whether it is completely sealed, whether the temperature is within the safe range, etc.; for fire door 2, the determination rules may include whether the glass part is intact, whether the door frame is firm, etc.; for fire door 3, the rules may involve whether the locking mechanism of the fire door is normal, whether the door is closed tightly, etc.

[0042] The remote monitoring platform monitors each fire door in real time based on local status determination rules to verify its proper function. When fire door status information (such as door sensor status, temperature, humidity, etc.) is transmitted back to the remote monitoring platform, it verifies the door's function against M local status determination rules.

[0043] In the M status response frames transmitted back by the fire door monitoring module, the status information of each fire door (such as the door sensor status and device health status) is mapped one-to-one by the remote monitoring platform against M local status determination rules for door-by-door status verification. This means that the status of each fire door is individually checked to ensure that it meets design requirements. For example, if the door sensor status of fire door A is open, but it should be closed according to design requirements, this fire door is determined to be an initial fault door. An initial fault door is a fire door that has been preliminarily identified as having a problem or abnormality through door-by-door status verification. This may be due to an unclosed door sensor or device malfunction. Through this individual verification, the normal status of each fire door is determined.

[0044] Limiting the preset polling cycle means shortening the polling cycle to enable more frequent status verification of initially faulty doors. For example, if the initial polling cycle is 60 seconds, it may be shortened to 30 seconds or even shorter intervals to allow for more rapid status verification of faulty fire doors. For example, suppose the remote monitoring platform originally queries the status once a minute, but after detecting that fire doors 1, 3, and 5 are faulty, the polling cycle is shortened to a query every 30 seconds. The remote monitoring platform can quickly confirm whether these fire doors are persistently faulty. An instantaneous verification status sequence refers to the sequence of results of multiple status checks on a fire door within a short period of time (for example, within an update verification cycle). If the fire door remains in an abnormal state during multiple verifications, it indicates that the fire door has a persistent fault.

[0045] During the shortened update verification cycle, multiple initially faulty doors are subjected to transient anomaly verification. This means that the status of the faulty fire doors is queried multiple times at regular intervals. The transient verification status sequence is analyzed to determine whether the faulty doors exhibit a consistently abnormal distribution. If a fire door exhibits a persistent abnormal status over multiple verification cycles (e.g., three consecutive rounds), the door is confirmed to be faulty. Based on the analysis of the transient verification status sequence, the actual faulty fire doors (N faulty fire doors) are ultimately identified and verified as faulty, entering the repair process. Multiple rounds of verification are typically performed to confirm that these doors exhibit persistent issues, rather than sporadic failures. For example, assume a building has 10 fire doors, each equipped with a monitoring module, and the platform's initial polling cycle is 60 seconds. After initial status verification, the system discovers that the door sensors for fire doors 1, 3, and 5 are open, contrary to the design requirement of closed, and are therefore marked as initially faulty doors. After detecting these initially faulty doors, the polling cycle is shortened to 30 seconds, allowing for more frequent status verification of these doors. Fire doors 1, 3, and 5 were frequently queried every 30 seconds, collecting status response data for each round. Fire door 1 returned an open status in all three rounds of queries. Fire door 3 returned an open status once and a closed status twice in all three rounds of queries. Fire door 5 returned an open status in all three rounds of queries. Based on the continuous abnormal status, fire doors 1 and 5 were ultimately confirmed to be faulty.

[0046] Through precise door-by-door status verification and short-cycle verification, multiple initially faulty doors can be promptly discovered and accurately located. Shortening the polling cycle can improve fault response speed, allowing faulty fire doors to be identified and confirmed in a shorter time, thereby improving the real-time and accuracy of monitoring. By dynamically screening faulty fire doors, the monitoring platform can quickly obtain important equipment failure information when a fire occurs, helping managers to promptly adjust the maintenance sequence.

[0047] After spatially mapping the N faulty fire doors in the fire protection function simulation model, dynamic evacuation path fitting is performed with the static evacuation path data as a constraint in combination with the partition failure diffusion simulation to quantify the N fire protection impacts, wherein the static evacuation path data is extracted from the building fire protection base data.

[0048] Furthermore, the present application also includes the following steps: decomposing the static evacuation path data to obtain a path node sequence, a topological connection relationship and a path weight coefficient; spatially mapping the N faulty fire doors in the fire protection function simulation model to obtain the fire partition affiliations of the N faulty doors; generating a fire partition cascade topology diagram by integrating the fire partition affiliations of the N faulty doors into the topological connection relationship; taking the fire partition affiliations of the N faulty doors as the root node, performing a breadth-first traversal based on the fire partition cascade topology diagram to generate a failure propagation tree diagram; using the path node sequence and the path weight coefficient as attenuation simulation input parameters, performing a connectivity attenuation simulation on the failure propagation tree diagram, and quantifying and outputting the N fire protection impacts of the N faulty fire doors.

[0049] Furthermore, the present application also includes the following steps: using the path weight coefficient as a dynamic attenuation factor, performing a connectivity attenuation propagation simulation of the failure propagation tree diagram along the path node sequence, and outputting a dynamic failure thermal distribution map; performing path attenuation loss value aggregation calculation based on the dynamic failure thermal distribution map, and outputting N fire impact degrees of the N faulty fire doors.

[0050] Specifically, static evacuation path data refers to information about the paths used for evacuation within a building. This includes the layout and connectivity of elements such as evacuation passages, emergency exits, and stairways. This includes the specific nodes of the path (e.g., doors, stairways, and passageways), the topological connectivity between these nodes (i.e., the relationships between them), and the path weights (e.g., path length, travel time, etc.). Static evacuation path data is parsed to obtain a path node sequence, topological connectivity, and path weight coefficients. A path node sequence is a sequential arrangement of each evacuation node in a building, with each node representing a key location during the evacuation process, such as a stairwell or exit door. Topological connectivity describes how nodes are connected. For example, the path relationships from node A to node B, node B to node C, and so on, constitute the building's escape route. The path weight coefficient indicates the importance of each evacuation path. For example, a long path or one passing through a narrow space may have a higher path weight coefficient, while a narrow path may have a lower path weight coefficient.

[0051] In the fire protection simulation model, when a fire door fails, the failed fire door is spatially mapped to the fire zone in which it resides, determining the fire zone affiliation of N failed doors. The fire zone affiliation of a failed fire door refers to the state of the fire zone in which it resides when the fire door fails during the fire simulation. Each fire door belongs to a fire zone, and a failed fire door can affect the fire protection function of that zone.

[0052] The fire compartments of the N failed fire doors are integrated into the topological connectivity to generate a new fire compartment cascade topology diagram. The fire compartment cascade topology diagram depicts the various fire compartments within a building and their relationships. Incorporating the compartments associated with each fire door failure into the topological connectivity creates a more dynamic fire compartment connectivity diagram, facilitating analysis of fire propagation. Using the fire compartments of the N failed fire doors as the root node, a breadth-first search (BFS) is performed on the fire compartment cascade topology diagram to generate a failure propagation tree diagram. The failure propagation tree diagram illustrates how the fire's impact, starting with the failed fire door, gradually spreads to other fire compartments. For example, if fire door 1 fails, the fire's impact could spread from compartment A to compartment B, and then to compartment C. The tree diagram illustrates this step-by-step propagation process. Breadth-first search (BFS) is an algorithm for traversing a graph or tree, starting from the root node and visiting each node layer by layer. The failure propagation tree diagram is a tree diagram that shows how the fire impact propagates between different fire compartments after the failure of a faulty fire door. It shows how the impact starts from the faulty fire door and gradually spreads to other parts of the building.

[0053] Using path weight coefficients as dynamic attenuation factors, a connected attenuation propagation simulation is performed on the failure propagation tree diagram to simulate the spread of fire impacts within a building. The path weight coefficients determine the speed of fire spread and the intensity of its impact. A dynamic attenuation factor refers to the dynamic change of path weight coefficients in fire simulations based on the fire situation. The attenuation factor reflects the speed of fire spread, the resistance of the path, and the intensity of the impact. For example, if an evacuation path has high resistance (such as a long distance or a narrow passage), its attenuation factor will be larger, and the spread of the fire impact will be suppressed.

[0054] Using dynamic attenuation factors, a connected attenuation propagation simulation of fire caused by fire door failure is performed. Starting from a faulty fire door, the fire propagates along evacuation routes, walls, and compartments within the building. The fire propagation along each path is influenced by its weight coefficient. The more important and difficult the path, the weaker the fire propagation effect. For example, if fire door 1 fails, the fire will propagate along the fire compartment where it is located, and the fire propagation is simulated according to the weight coefficient of the path. A fire may attenuate along an evacuation route through a narrow corridor but spread rapidly along another wide corridor.

[0055] After completing the connected attenuation propagation simulation, a dynamic failure thermal distribution map is generated. This color gradient (e.g., red represents high-risk areas, blue represents low-risk areas) illustrates the intensity of the fire impact. This allows for the assessment of which areas are most impacted by fire performance and which areas are likely to experience rapid fire spread due to fire door failure. For example, if the failure of Fire Door 1 causes the fire to rapidly spread to the left side of the building, the thermal map will show higher temperatures in these areas, colored red, while other unaffected areas will appear cooler or blue.

[0056] Based on the dynamic failure thermal distribution map, the path attenuation loss values ​​are aggregated. Each path's loss value takes into account the fire's propagation intensity and the path's weight coefficient, ultimately resulting in a total loss value for each path. Path attenuation loss quantifies the impact and loss of a fire as it propagates along an evacuation path. The magnitude of the loss value is determined by the path's resistance (such as path length, traversal time, and evacuation difficulty) and the fire's propagation intensity. For example, in the simulation, one area (such as the west side of the building) is significantly affected by the fire, with a temperature of 80°C (red), while another area (such as the east side of the building) is less affected, with a temperature of 40°C (blue). Path A (long, narrow, and difficult to navigate) has a weight coefficient of 1.2, while Path B (short, wide, and easier to navigate) has a weight coefficient of 0.8. Path attenuation loss is determined by the path's weight coefficient and the fire's propagation intensity along the path (derived from the dynamic failure thermal distribution map). As the fire propagates along each path, its impact is attenuated by the different path weight coefficients. The specific loss value calculation formula is as follows: loss value = path weight coefficient × path fire propagation intensity, then the loss value of path A is 96 unit loss, and the loss value of path B is 32 unit loss.

[0057] The fire impact of N faulty fire doors is calculated based on the aggregation of path attenuation loss values. The fire impact of each fire door is determined by the impact of its failure on the building's fire compartments and evacuation routes. A fire door with a high impact means its failure poses a significant threat to building safety and requires priority repair. First, all evacuation paths or influencing paths (such as evacuation passages directly associated with the fire door and connections between doors) for the fire door are identified. Each path is then subjected to an attenuation calculation based on its path weight coefficient and fire propagation intensity, resulting in a loss value for each path. The loss values ​​of all paths associated with the faulty fire door are aggregated to obtain the total loss value for the fire door.

[0058] A fire door's fire impact is calculated based on the loss values ​​of all affected paths. Specifically, the fire impact of a fire door depends on the impact of its failure on the building's fire compartments and evacuation paths. Fire impact = the loss value of the fire door compartment divided by the total loss value. For example, assuming there are three fire doors with loss values ​​of 40, 60, and 80, respectively, for a total loss value of 328, the fire impact of fire door 1 is 0.168, fire door 2 is 0.252, and fire door 3 is 0.336.

[0059] Through path attenuation simulation and breadth-first traversal, the fire propagation process is accurately simulated, resulting in a more accurate fire impact assessment. By decomposing static evacuation path data and generating a fire zone cascade topology diagram, the impact of a faulty fire door on the entire building's fire safety is visualized. Failure propagation tree diagrams and dynamic failure thermal distribution maps provide a detailed analysis of the fault's impact, helping to prioritize troubleshooting.

[0060] The operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire impacts, and a hierarchical operation and maintenance priority sequence is output.

[0061] Furthermore, the present application also includes the following steps: after interactively obtaining multiple sample fire risk coefficients of multiple sample fire protection zones, matching and obtaining N real-time fire risk coefficients to which the N faulty door fire protection zones belong; interactively obtaining multiple sample operation and maintenance priorities of multiple sample fault types; after retrieving N real-time fault attributes of the N faulty fire doors, matching and obtaining N initial operation and maintenance priorities of the N real-time fault attributes; hierarchically sorting the N faulty fire doors according to the N initial operation and maintenance priorities to obtain an initial hierarchical operation and maintenance sequence; performing operation and maintenance priority compensation on the initial hierarchical operation and maintenance sequence according to the dynamic compensation weights of the N real-time fire risk coefficients and the N fire protection impacts, and outputting the hierarchical operation and maintenance priority sequence.

[0062] Furthermore, the present application also includes the following steps: predicting the operation and maintenance response time consumption of the hierarchical operation and maintenance priority sequence, and outputting a hierarchical operation and maintenance response time set; traversing the hierarchical operation and maintenance response time set based on a preset response time limit, and locating the over-limit task set; decomposing the hierarchical operation and maintenance priority sequence according to the over-limit task set, and obtaining multiple parallel sub-task packages; allocating the multiple parallel sub-task packages to a distributed operation and maintenance group, and executing the operation and maintenance tasks in parallel.

[0063] Specifically, multiple sample fire risk coefficients for multiple sample fire zones are interactively obtained from historical data. Each fire zone is assigned a fire risk coefficient based on factors such as its location, building structure, and combustible material distribution. For example, if a building has three fire zones (A, B, and C), their fire risk coefficients are 0.6 for Fire Zone A, 0.8 for Fire Zone B, and 0.4 for Fire Zone C. Based on the fire zones assigned to N faulty doors, N real-time fire risk coefficients are obtained from these sample fire risk coefficients. The real-time fire risk coefficient is dynamically calculated during a fire based on the current fire situation, the status of the faulty fire door, and other data. For example, if fire door 1 is faulty and is located in fire zone A, with a fire risk coefficient of 0.6, the real-time fire risk coefficient for fire door 1 is set to 0.6.

[0064] The system obtains multiple sample operation and maintenance priorities for multiple sample fault types from historical fault data, that is, the maintenance priority required for different fire door fault types. For example, a door lock failure may be more serious than a door magnet failure and may have a higher priority in affecting the fire protection function. The real-time fault attributes of N faulty fire doors are retrieved, such as whether the fire door is completely closed, whether the locking device is working properly, whether the temperature exceeds the standard, etc. The fault attributes determine the operation and maintenance priority of the fire door. Based on the N real-time fault attributes, the corresponding N initial operation and maintenance priorities are matched among the multiple sample operation and maintenance priorities, that is, the fault type of the faulty fire door and the repair priority assessed by the real-time status.

[0065] Based on N initial O&M priorities, N faulty fire doors are hierarchically sorted to generate a preliminary O&M repair sequence, prioritizing the fire doors with the greatest impact. The initial hierarchical O&M sequence is the result of sorting all faulty fire doors according to their initial O&M priorities, indicating the order in which fire doors require repair. Based on N real-time fire risk factors and N fire impacts, the initial hierarchical O&M sequence is compensated for O&M priorities. Dynamic compensation weights adjust the initial O&M priorities based on the real-time fire risk factor and fire impact. If a fire door has a higher fire risk factor or a greater impact on the fire compartment, the compensation mechanism increases the repair priority of that fire door.

[0066] Dynamic compensation weights are typically calculated using a weighted approach, multiplying the real-time fire risk coefficient by the fire impact. For example, if Fire Door 1 has a real-time fire risk coefficient of 0.8 and a fire impact of 0.7; Fire Door 2 has a real-time fire risk coefficient of 0.6 and a fire impact of 0.5; and Fire Door 3 has a real-time fire risk coefficient of 0.9 and a fire impact of 0.6, then the compensation weight for Fire Door 1 is 0.8 x 0.7 = 0.56, the compensation weight for Fire Door 2 is 0.6 x 0.5 = 0.3, and the compensation weight for Fire Door 3 is 0.9 x 0.6 = 0.54.

[0067] Based on the calculated compensation weights, the initial hierarchical maintenance priority is compensated to create a hierarchical maintenance priority sequence. This compensated priority reflects higher fire risk and fire impact, prioritizing the repair of fire doors with greater impact. The hierarchical maintenance priority sequence is the final repair priority sequence, resulting from adjustments made to the initial hierarchical maintenance sequence using dynamic compensation weights. This takes into account the fire risk of the partition in which the fire door is located and the impact of the fire door, ensuring that the most critical fire doors are repaired first.

[0068] Through a dynamic compensation mechanism, repair priorities are flexibly adjusted based on real-time fire risk and the impact of fire door failures, ensuring that the most critical fire doors are repaired promptly. Prioritizing the repair of faulty fire doors, especially those with a higher fire risk or greater fire impact, helps improve the building's overall fire protection capabilities and reduce the risk of fire spread.

[0069] The hierarchical O&M response time is predicted for each repair task for each faulty fire door. The time required to complete the repair is estimated based on the complexity, resource requirements, and actual situation of each O&M task. The O&M response time depends on factors such as the fire door fault type, the required repair materials, and the number of workers. The hierarchical O&M response time set predicts the repair time for each task based on the complexity and priority of the O&M tasks, outputting a set of estimated repair times for all repair tasks. For example, the estimated repair time for Fire Door 003 (door lock fault) is 4 hours, the estimated repair time for Fire Door 012 (door sensor fault) is 2 hours, and the estimated repair time for Fire Door 042 (overtemperature fault) is 3 hours.

[0070] The preset response time limit is a benchmark time, indicating that under normal circumstances, the repair task should be completed within this time limit. Tasks that exceed the preset response time limit are considered overdue tasks and require expedited processing. Based on the preset response time limit, the hierarchical operation and maintenance response time set is traversed to find all tasks that exceed the preset response time limit and mark them as the overdue task set. For example, if the preset response time limit is 5 hours, the repair time for fire door A1 is 4 hours (which meets the time limit), the repair time for fire door A2 is 2 hours (which meets the time limit), and the repair time for fire door A3 is 3 hours (which meets the time limit), there are no overdue tasks, so the overdue task set is empty.

[0071] If there are overrun tasks (i.e., tasks whose repair time exceeds the preset response time), the overrun task set is decomposed into a hierarchical O&M priority sequence to generate multiple parallelizable subtask packages. Parallelizable subtask packages are generated by decomposing the overrun task set into multiple repair tasks that can be executed in parallel. These subtask packages are independent of each other and can be assigned to different O&M teams for processing. These multiple parallelizable subtask packages are then assigned to different distributed O&M teams for parallel execution. Parallel execution accelerates the repair process and improves overall O&M efficiency. For example, subtask package A1 (repairing fire door A1) is assigned to O&M team A, subtask package A2 (repairing fire door A2) is assigned to O&M team B, and subtask package A3 (repairing fire door A3) is assigned to O&M team C. Teams A, B, and C work together to complete the repair in four hours. By decomposing overrun tasks into parallelizable subtasks, O&M tasks are executed faster, backlogs are avoided, and overall repair efficiency is improved. Assigning tasks to different O&M teams optimizes resource allocation. Different teams can handle different repair tasks in parallel, avoiding waste of resources and uneven workload.

[0072] In summary, the remote monitoring method based on the fire door monitoring module provided by this application has the following beneficial effects: A fire protection function simulation model of a building is constructed based on the building fire protection base data; M fire door monitoring modules are pre-deployed on M building fire doors in the building, wherein the fire door monitoring modules are integrated with a door magnetic sensor unit, a status monitoring unit and a communication unit; after the remote monitoring platform collects M real-time status information of the M fire door monitoring modules through remote polling, the fire door function availability is determined based on the M real-time status information, and N faulty fire doors are located; after the N faulty fire doors are spatially mapped in the fire protection function simulation model, the static evacuation path data is used as a constraint, combined with the partition failure diffusion simulation, a dynamic evacuation path fitting is performed, and N fire protection impact degrees are quantified, wherein the static evacuation path data is extracted from the building fire protection base data; the operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire protection impact degrees, and a hierarchical operation and maintenance priority sequence is output. In other words, by constructing a fire protection function simulation model of the building, pre-deploying M fire door monitoring modules and collecting status information in real time, the fire door function availability of each fire door is determined based on the real-time status information, the faulty fire door is located, and the dynamic evacuation path is fitted by combining static evacuation path data and partition failure diffusion simulation. The fire protection impact is quantified, and the operation and maintenance priority of the faulty fire doors is sorted. This improves the operation and maintenance management efficiency of the fire doors, thereby improving the efficiency of the fire emergency response.

[0073] Example 2, based on the same inventive concept as the remote monitoring method based on the fire door monitoring module in the aforementioned Example 1, this application also provides a remote monitoring system based on the fire door monitoring module, please refer to the attached Figure 2 , the remote monitoring system based on the fire door monitoring module includes: A model construction module 11 is used to construct a fire protection function simulation model of a building based on the building fire protection base data; a monitoring deployment module 12 is used to pre-deploy M fire door monitoring modules on M building fire doors in the building, wherein the fire door monitoring modules are integrated with a door magnetic sensor unit, a status monitoring unit and a communication unit; a function availability determination module 13 is used for a remote monitoring platform to collect M real-time status information of the M fire door monitoring modules through remote polling, and then determine the fire door function availability based on the M real-time status information, and locate N faulty fire doors; a dynamic evacuation path fitting module 14 is used to spatially map the N faulty fire doors in the fire protection function simulation model, and then use static evacuation path data as a constraint and combine it with partition failure diffusion simulation to perform dynamic evacuation path fitting, and quantify N fire protection impacts, wherein the static evacuation path data is extracted from the building fire protection base data; an operation and maintenance priority sorting module 15 is used to sort the operation and maintenance priorities of the N faulty fire doors according to the N fire protection impacts, and output a hierarchical operation and maintenance priority sequence.

[0074] Furthermore, the model building module 11 in the remote monitoring system based on the fire door monitoring module is also used to: interactively obtain the building fire protection base data of the building, wherein the building fire protection base data includes basic building design information and static fire protection design information, and the static fire protection design information includes fire door feature data, fire partition topology data and the static evacuation path data; construct a basic BIM model of the building based on the basic building design information; fuse the fire door feature data and fire partition topology data into fire protection function logic rules; and use the fire protection function logic rules to execute the fire protection function logic embedding of the basic BIM model to generate the fire protection function simulation model.

[0075] Furthermore, the function availability determination module 13 in the remote monitoring system based on the fire door monitoring module is also used to: preset a device address sequence, the remote monitoring platform uses a preset polling period as a timing constraint, and the device address sequence as an addressing constraint, and broadcasts a status query instruction frame to the M fire door monitoring modules through M communication units; the M fire door monitoring modules respond to the status query instruction frame and return M status response frames to the remote monitoring platform, wherein the status response frame includes a door magnetic status bit and a device health status bit; extract M design type identifiers of the M building fire doors from the fire protection function simulation model; configure M local status determination rules according to the M design type identifiers; and use the M local status determination rule mapping to perform door-by-door status verification of the M status response frames to locate the N faulty fire doors.

[0076] Furthermore, the functional availability determination module 13 in the remote monitoring system based on the fire door monitoring module is further configured to: employ the M local status determination rule mappings to perform door-by-door status verification of the M status response frames to locate multiple initial faulty doors; shorten the preset polling cycle to obtain an update verification cycle, and then employ the update verification cycle to perform instantaneous abnormality verification of the multiple initial faulty doors to obtain multiple instantaneous verification status sequences; and screen and locate the N faulty fire doors among the multiple initial faulty doors based on the continuous abnormality distribution of the multiple instantaneous verification status sequences.

[0077] Furthermore, the function availability determination module 13 in the remote monitoring system based on the fire door monitoring module is further configured to dynamically update the device address sequence according to the real-time status change characteristics of the M building fire doors.

[0078] Furthermore, the dynamic evacuation path fitting module 14 in the remote monitoring system based on the fire door monitoring module is also used to: decompose the static evacuation path data to obtain a path node sequence, a topological connection relationship and a path weight coefficient; spatially map the N faulty fire doors in the fire protection function simulation model to obtain the fire partition affiliations of N faulty doors; generate a fire partition cascade topology diagram by integrating the N faulty door fire partition affiliations into the topological connection relationship; use the N faulty door fire partition affiliations as root nodes, perform breadth-first traversal based on the fire partition cascade topology diagram to generate a failure propagation tree diagram; use the path node sequence and path weight coefficient as attenuation simulation input parameters, perform a connectivity attenuation simulation on the failure propagation tree diagram, and quantify and output the N fire protection impacts of the N faulty fire doors.

[0079] Furthermore, the dynamic evacuation path fitting module 14 in the remote monitoring system based on the fire door monitoring module is also used to: use the path weight coefficient as a dynamic attenuation factor, perform a connectivity attenuation propagation simulation of the failure propagation tree diagram along the path node sequence, and output a dynamic failure thermal distribution map; perform path attenuation loss value aggregation calculation based on the dynamic failure thermal distribution map, and output N fire impact degrees of the N faulty fire doors.

[0080] Furthermore, the operation and maintenance priority sorting module 15 in the remote monitoring system based on the fire door monitoring module is also used to: after interactively obtaining multiple sample fire risk coefficients of multiple sample fire partitions, match and obtain N real-time fire risk coefficients to which the N faulty door fire partitions belong; interactively obtain multiple sample operation and maintenance priorities of multiple sample fault types; after retrieving N real-time fault attributes of the N faulty fire doors, match and obtain N initial operation and maintenance priorities of the N real-time fault attributes; hierarchically sort the N faulty fire doors according to the N initial operation and maintenance priorities to obtain an initial hierarchical operation and maintenance sequence; perform operation and maintenance priority compensation on the initial hierarchical operation and maintenance sequence according to the dynamic compensation weights of the N real-time fire risk coefficients and the N fire impact degrees, and output the hierarchical operation and maintenance priority sequence.

[0081] Furthermore, the operation and maintenance priority sorting module 15 in the remote monitoring system based on the fire door monitoring module is also used to: predict the operation and maintenance response time consumption of the hierarchical operation and maintenance priority sequence, and output a hierarchical operation and maintenance response time set; traverse the hierarchical operation and maintenance response time set based on the preset response time limit, and locate the over-limit task set; decompose the hierarchical operation and maintenance priority sequence according to the over-limit task set to obtain multiple parallel sub-task packages; allocate the multiple parallel sub-task packages to a distributed operation and maintenance group, and execute the operation and maintenance tasks in parallel.

[0082] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The remote monitoring method based on the fire door monitoring module and the specific examples in Example 1 are also applicable to the remote monitoring system based on the fire door monitoring module in this embodiment. Through the above detailed description of the remote monitoring method based on the fire door monitoring module, those skilled in the art can clearly understand the remote monitoring system based on the fire door monitoring module in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0083] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0084] Obviously, for those skilled in the art, several improvements and modifications can be made to the present application without departing from the principles of the present application, and these improvements and modifications also fall within the scope of protection of the present application.

Claims

1. A remote monitoring method based on a fire door monitoring module, characterized in that: include: Construct a fire protection function simulation model of a building based on the building fire protection base data; Pre-deploy M fire door monitoring modules on M building fire doors in a building, wherein the fire door monitoring modules integrate a door magnetic sensor unit, a status monitoring unit and a communication unit; After the remote monitoring platform collects M real-time status information of the M fire door monitoring modules through remote polling, it determines the fire door function availability based on the M real-time status information and locates N faulty fire doors; After spatially mapping the N faulty fire doors in the fire protection function simulation model, dynamic evacuation path fitting is performed using static evacuation path data as a constraint in combination with a partitioned failure diffusion simulation to quantify N fire protection impacts, wherein the static evacuation path data is extracted from the building fire protection base data; The operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire impacts, and a hierarchical operation and maintenance priority sequence is output.

2. The remote monitoring method based on the fire door monitoring module according to claim 1, characterized in that: After spatially mapping the N faulty fire doors in the fire protection function simulation model, a dynamic evacuation path fitting is performed using the static evacuation path data as a constraint in combination with the partition failure diffusion simulation to quantify the N fire protection impacts, including: Decomposing the static evacuation path data to obtain a path node sequence, a topological connection relationship, and a path weight coefficient; Spatially mapping the N faulty fire doors in the fire protection function simulation model to obtain the fire protection partitions to which the N faulty doors belong; Generate a fire protection zone cascade topology diagram by integrating the N fault door fire protection zones into the topological connection relationship; Taking the fire partition of the N faulty doors as the root node, a breadth-first traversal is performed based on the fire partition cascade topology diagram to generate a failure propagation tree diagram; The path node sequence and path weight coefficient are used as attenuation simulation input parameters to perform connectivity attenuation simulation on the failure propagation dendrogram, and quantify and output N fire impacts of the N faulty fire doors.

3. The remote monitoring method based on the fire door monitoring module according to claim 1, characterized in that: After the remote monitoring platform collects M real-time status information of the M fire door monitoring modules through remote polling, it determines the fire door function availability based on the M real-time status information and locates N faulty fire doors, including: A device address sequence is preset, and the remote monitoring platform uses a preset polling period as a timing constraint and the device address sequence as an addressing constraint to broadcast a status query instruction frame to the M fire door monitoring modules through M communication units; The M fire door monitoring modules respond to the status query command frame and transmit M status response frames to the remote monitoring platform, wherein the status response frames include a door sensor status bit and a device health status bit; Extracting M design type identifiers of the M building fire doors from the fire protection function simulation model; Configure M local state determination rules according to the M design type identifiers; The M local status determination rule mappings are used to perform door-by-door status verification on the M status response frames to locate the N faulty fire doors.

4. The remote monitoring method based on the fire door monitoring module according to claim 3, characterized in that: Using the M local status determination rule mappings to perform door-by-door status verification on the M status response frames to locate the N faulty fire doors includes: Using the M local status determination rule mappings to perform door-by-door status verification on the M status response frames, and locate multiple initial fault doors; After shortening the preset polling cycle to obtain an update verification cycle, the update verification cycle is used to perform instantaneous abnormality verification of the multiple initial fault gates to obtain multiple instantaneous verification state sequences; The N faulty fire doors are screened and located among the plurality of initial faulty doors according to the continuous abnormal distribution of the plurality of instantaneous verification state sequences.

5. The remote monitoring method based on the fire door monitoring module according to claim 2, characterized in that: Using the path node sequence and path weight coefficient as attenuation simulation input parameters, performing connectivity attenuation simulation on the failure propagation dendrogram, and quantifying and outputting N fire impacts of the N faulty fire doors, including: Using the path weight coefficient as a dynamic attenuation factor, a connectivity attenuation propagation simulation of the failure propagation dendrogram is performed along the path node sequence, and a dynamic failure thermal distribution diagram is output; An aggregate calculation of path attenuation loss values ​​is performed based on the dynamic failure thermal distribution map, and N fire impacts of the N faulty fire doors are output.

6. The remote monitoring method based on the fire door monitoring module according to claim 5, characterized in that: The operation and maintenance priorities of the N faulty fire doors are sorted according to the N fire impacts, and a hierarchical operation and maintenance priority sequence is output, including: After interactively obtaining multiple sample fire risk coefficients of multiple sample fire zones, matching and obtaining N real-time fire risk coefficients to which the N faulty door fire zones belong; Interactively obtain multiple sample operation and maintenance priorities for multiple sample fault types; After retrieving N real-time fault attributes of the N faulty fire doors, N initial operation and maintenance priorities of the N real-time fault attributes are obtained by matching; hierarchically sorting the N faulty fire doors according to the N initial operation and maintenance priorities to obtain an initial hierarchical operation and maintenance sequence; According to the dynamic compensation weights of the N real-time fire risk coefficients and the N fire prevention impact degrees, the operation and maintenance priority of the initial hierarchical operation and maintenance sequence is compensated, and the hierarchical operation and maintenance priority sequence is output.

7. The remote monitoring method based on the fire door monitoring module according to claim 6, characterized in that: Also includes: Performing an operation and maintenance response time prediction on the hierarchical operation and maintenance priority sequence, and outputting a hierarchical operation and maintenance response time set; Traversing the hierarchical operation and maintenance response time set based on the preset response time limit, and locating the exceeding task set; Decomposing the hierarchical operation and maintenance priority sequence according to the over-limit task set to obtain a plurality of parallelizable subtask packages; The multiple parallelizable subtask packages are allocated to a distributed operation and maintenance group to execute the operation and maintenance tasks in parallel.

8. The remote monitoring method based on the fire door monitoring module according to claim 1, characterized in that: Construct a fire protection function simulation model of a building based on the building fire protection base data, including: Interactively obtaining building fire protection base data of the building, wherein the building fire protection base data includes basic building design information and static fire protection design information, and the static fire protection design information includes fire door feature data, fire partition topology data and the static evacuation path data; Constructing a basic BIM model of the building based on the basic architectural design information; fusing the fire door characteristic data and the fire partition topology data into fire protection function logic rules; The fire prevention function logic rules are used to execute the fire prevention function logic embedding of the basic BIM model to generate the fire prevention function simulation model.

9. The remote monitoring method based on the fire door monitoring module according to claim 3, characterized in that: The device address sequence is dynamically updated according to the real-time status change characteristics of the M building fire doors.

10. The remote monitoring system based on the fire door monitoring module is characterized by: The steps for implementing the remote monitoring method based on the fire door monitoring module according to any one of claims 1 to 9, wherein the remote monitoring system based on the fire door monitoring module comprises: A model building module is used to build a fire protection function simulation model of a building based on the building fire protection base data; A monitoring deployment module, configured to pre-deploy M fire door monitoring modules on M building fire doors in a building, wherein the fire door monitoring modules integrate a door magnetic sensor unit, a status monitoring unit, and a communication unit; a function availability determination module configured to determine the function availability of the fire doors based on the M real-time status information collected by the remote monitoring platform from the M fire door monitoring modules through remote polling, and to locate N faulty fire doors; a dynamic evacuation path fitting module, configured to spatially map the N faulty fire doors in the fire protection function simulation model, and then perform dynamic evacuation path fitting based on the static evacuation path data as a constraint and in combination with a partitioned failure diffusion simulation to quantify N fire protection impacts, wherein the static evacuation path data is extracted from the building fire protection base data; An operation and maintenance priority sorting module is used to sort the operation and maintenance priorities of the N faulty fire doors according to the N fire protection impacts and output a hierarchical operation and maintenance priority sequence.

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