Building fire safety intelligent monitoring method and system

Abstract

The invention relates to the technical field of fire safety. The building fire safety intelligent monitoring method and system are provided, and the method comprises the steps: carrying out registration authentication and communication resource configuration on multi-mode fire fighting equipment, and generating an equipment registration center database; dynamically allocating communication resources by using a two-dimensional priority arbitration mechanism, and generating a hierarchical transmission queue; carrying out anti-interruption transmission on the monitoring data through a triple modular redundancy transmission network, and generating a multi-path transmission state report; acquiring the multi-source data transmitted by the hierarchical transmission queue, performing space-time alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and outputting a structured security situation report; the structured security situation report is converted into a control instruction, so that the data loss risk of a high-risk area is reduced, the supporting capacity of multi-source data for fire-fighting command decision is improved, and the problems of linkage control resource mismatching and insufficient response are reduced.

Description

Technical Field

[0001] This invention relates to the field of fire safety technology, and in particular to an intelligent monitoring method and system for building fire safety. Background Technology

[0002] With the deep integration of building intelligence and fire protection IoT technology, the key role of fire safety monitoring systems in fire prevention, early warning and emergency response is becoming increasingly prominent.

[0003] Traditional fire monitoring relies on static communication protocols and fixed bandwidth allocation strategies, lacking an intelligent resource scheduling mechanism based on fire risk levels, resulting in data loss in high-risk areas. It also uses a single transmission path and only outputs raw reports from multiple sources, lacking redundant transmission and knowledge graph intelligent analysis technology, making it difficult to support fire command and decision-making. In addition, linkage control relies on preset fixed rules and cannot dynamically generate refined control instructions based on the real-time fire situation, resulting in resource misallocation or insufficient response. Summary of the Invention

[0004] Therefore, it is necessary to provide a building fire safety intelligent monitoring method and system to address the above-mentioned technical problems, so as to reduce the risk of data loss in high-risk areas, improve the support capability of multi-source data for fire command and decision-making, and reduce the mismatch of linkage control resources and insufficient response.

[0005] Firstly, this application provides a method for intelligent monitoring of building fire safety, the method comprising:

[0006] Based on the fire priority communication protocol loaded on the building digital twin platform, multimodal fire protection equipment is registered, authenticated, and configured with communication resources to generate an equipment registration center database.

[0007] Based on information from the device registration center database, a two-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues.

[0008] Based on hierarchical transmission queues, monitoring data is transmitted with anti-interruption capability through a three-mode redundant transmission network, generating multi-path transmission status reports.

[0009] Acquire multi-source data transmitted through hierarchical transmission queues, perform spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and output a structured security posture report;

[0010] The structured safety situation report is transformed into control commands through a pre-set building fire protection linkage control architecture.

[0011] In one embodiment, based on information from the device registration center database, a two-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues, including:

[0012] Spatial analysis and processing are performed on the building fire protection zoning plan stored in the building digital twin platform to generate a spatial risk level distribution map;

[0013] Based on the spatial risk level distribution map, the spatial risk level of the fire compartment where the equipment is located is determined and a spatial priority configuration table is generated.

[0014] Using the following formula, when multiple devices are transmitting concurrently, time-dimensional QoS adjustment is performed on the transmitted data to generate an initial priority queue:

[0015]

[0016] Among them, P i (t) represents the priority weight of device i at time t, D i T represents the urgency of data access for device i. max B represents the maximum allowable delay time. i B represents the current bandwidth requirement of device i. total W represents the total system bandwidth capacity. i (t) represents the waiting time of device i at time t, where α, β, and γ are weighting coefficients, and λ is the time decay factor;

[0017] The spatial priority configuration table and the preliminary priority queue are merged to generate a hierarchical transmission queue.

[0018] In one embodiment, based on a spatial risk level distribution map, the spatial risk level of the fire compartment where the equipment is located is determined, and a spatial priority configuration table is generated, including:

[0019] Extract the risk characteristic parameters of each fire compartment from the spatial risk level distribution map, and perform quantitative calculations using a risk level algorithm to generate a quantified risk value for the compartment.

[0020] Based on the geometric matching between the installation coordinates of each fire monitoring device and the spatial risk level distribution map, the fire compartment to which it belongs is determined, and an equipment compartment mapping table is generated.

[0021] Based on the equipment partition mapping table, the partition risk quantification value of each equipment's fire protection partition is dynamically weighted, and the initial priority of the equipment is generated by combining the preset priority rules.

[0022] The initial priority of the devices is checked for conflicts and adjusted accordingly. A spatial priority configuration table is generated through a priority allocation algorithm.

[0023] In one embodiment, based on the fire priority communication protocol loaded on the building digital twin platform, multimodal fire protection equipment is registered, authenticated, and configured with communication resources to generate an equipment registration center database, including:

[0024] The encrypted registration requests for fire protection equipment are authenticated, and a list of authenticated devices is generated.

[0025] The list of certified devices is marked with risk levels to generate a list of devices with risk tags; the list of devices with risk tags is then processed for basic bandwidth and time slot quota allocation to generate a list of registered devices.

[0026] The device types in the registered device list are identified, and a set of device type identifiers is generated.

[0027] Based on the set of equipment type identifiers, the fire equipment type database stored in the building digital twin platform is associated and mapped to generate a sensor-location-protocol association table;

[0028] The sensor-location-protocol association table and the list of registered devices are integrated to generate a device registration center database.

[0029] In one embodiment, based on the set of equipment type identifiers, an association mapping process is performed on the fire protection equipment type database stored in the building digital twin platform to generate a sensor-location-protocol association table, including:

[0030] For each identifier in the equipment type identifier set, retrieve the matching equipment type entry in the fire equipment type database to generate a preliminary matching result set;

[0031] Extract the preset installation location information for each device type entry in the preliminary matching result set to generate a location information set;

[0032] Extract the communication protocol parameters supported by each device type entry in the preliminary matching result set to generate a protocol parameter set;

[0033] The location information set and the protocol parameter set are integrated by key-value mapping, and the association is established through the unique device ID to generate a sensor-location-protocol association table.

[0034] In one embodiment, multi-source data transmitted via a hierarchical transmission queue is acquired, and spatiotemporal alignment and knowledge graph association processing are performed on the multi-source data transmitted to the edge gateway to output a structured security posture report, including:

[0035] The system receives and processes multi-source data transmitted through hierarchical transmission queues to generate a set of data to be processed.

[0036] Perform timestamp synchronization on the dataset to be processed to generate time-aligned data;

[0037] Perform coordinate correction processing on the spatial coordinate data of the preset building information model to generate equipment position correction data;

[0038] The time alignment data and device position correction data are integrated and processed to generate spatial alignment data;

[0039] The fire protection knowledge graph stored in the building digital twin platform is subjected to correlation analysis and processing to generate a situation analysis with disposal suggestions;

[0040] The spatial alignment data and situational analysis are integrated and processed to output a structured security situation report.

[0041] In one embodiment, a pre-defined building fire protection linkage control architecture is used to convert structured safety situation reports into control commands, including:

[0042] Semantic parsing is performed on the structured security situation report to extract risk coordinates, risk levels, and preset handling suggestions, generating a set of parsed situation parameters;

[0043] Based on the risk coordinates in the situation parameter set, and in conjunction with the preset building space database, the fire protection enforcement agencies within the affected area are located, and a list of agency locations is generated.

[0044] Based on the risk level and handling recommendations in the situation parameter set, a pre-set linkage control strategy library is matched to generate an agency-action mapping table;

[0045] By combining the mechanism positioning list and the mechanism-action mapping table, specific control parameters for each actuator are generated, and these parameters are then converted into control commands through standardized coding.

[0046] Secondly, this application also provides a building fire safety intelligent monitoring system, which includes:

[0047] The equipment registration module is used to register and authenticate multimodal fire protection equipment and configure communication resources according to the fire priority communication protocol loaded on the building digital twin platform, and generate an equipment registration center database.

[0048] The priority arbitration module is used to dynamically allocate communication resources and generate hierarchical transmission queues based on information from the device registration center database using a two-dimensional priority arbitration mechanism.

[0049] The three-mode transmission module is used to transmit monitoring data in an uninterrupted manner through a three-mode redundant transmission network based on a hierarchical transmission queue, and generate a multi-path transmission status report.

[0050] The data fusion module is used to acquire multi-source data transmitted through hierarchical transmission queues, perform spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and output a structured security posture report.

[0051] The linkage execution module is used to convert structured safety situation reports into control commands through a preset building fire protection linkage control architecture.

[0052] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the methods in the first aspect of this application.

[0053] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods in the first aspect of this application.

[0054] This application provides a method and system for intelligent monitoring of building fire safety. It utilizes a fire priority communication protocol loaded on a building digital twin platform to complete the registration, authentication, and communication resource configuration of multimodal fire protection equipment, constructing an equipment registration center database to provide foundational support for subsequent operations. Based on this database, a dual-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues, specifically prioritizing data transmission in high-risk areas and reducing the risk of data loss from a resource allocation perspective. Furthermore, a three-mode redundant transmission network is used to ensure uninterrupted transmission of monitoring data, further enhancing data transmission stability and reducing data loss through multi-path protection. For multi-source data, a structured safety situation report is generated after spatiotemporal alignment and knowledge graph association processing. This report integrates multi-dimensional information, providing a more comprehensive and accurate reference for fire command and decision-making, effectively improving the support capability of multi-source data for decision-making. According to a pre-set building fire linkage control architecture, the structured safety situation report is transformed into control commands, enabling the control commands to adapt to real-time fire conditions, avoiding resource mismatch problems under traditional fixed rules, and reducing insufficient response times. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0056] Figure 1 This is a flowchart of an intelligent monitoring method for building fire safety in one embodiment of the present invention;

[0057] Figure 2 Flowchart for determining the spatial risk level of the fire compartment where the device is located based on the spatial risk level distribution map in an embodiment of the present invention and generating a spatial priority configuration table;

[0058] Figure 3 Structural diagram of a building fire safety intelligent monitoring system in an embodiment of the present invention. Detailed implementation manners

[0059] In order to make the above objects, features, and advantages of the present application more obvious and understandable, the following will describe the detailed implementation manners of the present application with reference to the accompanying drawings. Many specific details are set forth in the following description in order to fully understand the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the application. Therefore, the present application is not limited by the specific embodiments disclosed below.

[0060] First, the application scenarios of the embodiments of the present application will be described. In the embodiments of the present application, a building fire safety intelligent monitoring method and system applicable to, but not limited to, building scenarios such as large commercial complexes, high-rise residential buildings, and industrial production plants are provided. There are often a large number of various types of fire-fighting equipment in the above scenarios, the building structure is complex, and the personnel flow is frequent, which has high requirements for the real-time, accuracy, and linkage of fire safety monitoring.

[0061] Illustratively, a building fire safety intelligent monitoring method and system provided by the embodiments of the present application can also be applied to other application scenarios. Only examples are given here, and the specific application scenarios are not limited.

[0062] As Figure 1 shown, the present application provides a building fire safety intelligent monitoring method, and the method includes:

[0063] S101: According to the fire priority communication protocol loaded by the building digital twin platform, register, authenticate, and configure communication resources for multi-modal fire-fighting equipment, and generate a device registration center database.

[0064] Exemplarily, based on the fire priority communication protocol loaded by the building digital twin platform, perform the registration process of multi-modal fire-fighting equipment, perform compliance verification on information such as the identity identifier and encryption certificate submitted by the equipment, and screen out the equipment that meets the access standards. According to the rules for communication resource allocation in the protocol, combined with the type, monitoring function, and deployment area characteristics of the equipment, allocate exclusive communication bandwidth, transmission time slots, and protocol adaptation parameters for the certified equipment to ensure that the resource configuration matches the operation requirements of the equipment.

[0065] Then, the device's authentication results, resource configuration details, basic attribute information, and protocol association parameters are integrated and archived to generate a device registration center database containing full device information.

[0066] S102: Based on information from the device registration center database, a two-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues.

[0067] For example, based on information such as device type, deployment location, risk level marker and communication parameters stored in the device registration center database, the risk characteristics of the area where each device is located are analyzed from a spatial dimension, and the spatial priority of different devices is determined by combining the planning attributes of building fire compartments.

[0068] The device's time priority is calculated by considering the urgency of the data, transmission latency requirements, and current communication load. A weighted fusion of spatial and temporal priorities is then performed using a dual-dimensional priority arbitration mechanism. Based on the fusion result, communication resources are dynamically adjusted and allocated, generating hierarchical transmission queues ordered by priority.

[0069] S103: Based on hierarchical transmission queues, monitoring data is transmitted with anti-interruption capability through a three-mode redundant transmission network, generating a multi-path transmission status report.

[0070] For example, based on the priority levels of devices in the hierarchical transmission queue, corresponding transmission path combinations in a tri-mode redundancy transmission network are matched for monitoring data of different levels. High-priority data uses multiple independent paths to ensure transmission stability, while low-priority data selects an appropriate path as needed. The monitoring data of each device is encapsulated according to the queue order and transmitted synchronously or asynchronously through the selected transmission path. The connection status, data integrity, and transmission latency of each path are monitored in real time.

[0071] During transmission, path failures are dynamically detected and switched to ensure seamless data transfer between redundant paths. Afterwards, the transmission results for each path are summarized, including the number of successfully transmitted data packets, the number of failures, and path switching records, to generate a multi-path transmission status report. The tri-mode redundancy transmission network is a network architecture that achieves uninterrupted data transmission by constructing three independent transmission paths.

[0072] S104: Acquire multi-source data transmitted through hierarchical transmission queues, perform spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and output a structured security posture report.

[0073] For example, multi-source data, including monitoring information collected by different fire protection equipment, is received and transmitted to the edge gateway via a hierarchical transmission queue. The multi-source data undergoes time-dimensional processing to unify the timestamp reference of each data point, achieving temporal alignment. Furthermore, by incorporating the building spatial coordinate system, spatial calibration is performed on the installation locations of the associated equipment, completing spatial alignment.

[0074] By invoking a pre-built fire safety knowledge graph, spatiotemporally aligned data is matched and correlated with fire characteristics, equipment relationships, and response rules within the graph to uncover inherent connections and potential risks among the data. Subsequently, the correlation analysis results are integrated, and information such as risk areas, risk levels, anomaly indicators, and related evidence are organized according to a pre-defined structured format to output a structured safety situation report.

[0075] S105: Transform structured safety situation reports into control commands through a pre-set building fire protection linkage control architecture.

[0076] For example, based on a pre-defined building fire protection linkage control architecture, the structured safety situation report is parsed to extract key information such as risk location, risk level, scope of impact, and related equipment. Based on this information, the pre-defined linkage logic and control strategy library within the architecture is matched to determine the type of fire protection actuator to be activated and its corresponding action mode.

[0077] Based on the building's spatial layout and equipment deployment, the specific control parameters for each actuator, such as the timing of action and operational intensity, are clearly defined. Following a unified instruction coding standard, these control parameters are converted into standardized control instructions to ensure that the instructions can be accurately identified and executed by the corresponding fire-fighting equipment.

[0078] One embodiment of this application provides a building fire safety intelligent monitoring method. This method uses a fire priority communication protocol loaded on a building digital twin platform to complete the registration, authentication, and communication resource configuration of multimodal fire protection equipment, constructing an equipment registration center database to provide basic support for subsequent operations. Based on this database, a dual-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues. This can specifically guarantee the data transmission priority of high-risk areas, reducing the risk of data loss from a resource allocation perspective.

[0079] Furthermore, by combining a three-mode redundant transmission network to ensure uninterrupted transmission of monitoring data, and further enhancing the stability of data transmission through multi-path protection, data loss is reduced. For the multi-source data transmitted, the structured security situation report generated after spatiotemporal alignment and knowledge graph association processing integrates multi-dimensional information, providing a more comprehensive and accurate reference for fire command and decision-making, and effectively improving the ability of multi-source data to support decision-making.

[0080] Based on the pre-set building fire protection linkage control architecture, the structured safety situation report is transformed into control commands, which enables the control commands to adapt to the real-time fire situation, avoids the resource mismatch problem under the traditional fixed rules, and reduces the situation of insufficient response.

[0081] In one embodiment, based on information from the device registration center database, a two-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues, including:

[0082] (1) Perform spatial analysis and processing on the building fire protection zoning plan stored in the building digital twin platform to generate a spatial risk level distribution map.

[0083] For example, the building fire protection zoning plan stored in the building digital twin platform is retrieved, and a comprehensive spatial analysis is performed on the area, functional attributes, fire protection facility density and personnel flow characteristics of each zone to divide the risk level of different areas and generate a spatial risk level distribution map.

[0084] (2) Based on the spatial risk level distribution map, the spatial risk level of the fire protection zone where the equipment is located is determined and a spatial priority configuration table is generated.

[0085] For example, based on the installation coordinates recorded in the equipment registration information, each device is matched with the fire protection zone in the spatial risk level distribution map to determine the risk level of the zone to which each device belongs, and the monitoring type and importance of the device are combined to quantify the priority and generate a spatial priority configuration table.

[0086] (3) Using the following formula, when multiple devices are transmitting concurrently, the transmitted data is adjusted according to the time dimension of QoS to generate a preliminary priority queue:

[0087]

[0088] Among them, P i (t) represents the priority weight of device i at time t, D i T represents the urgency of data access for device i. max B represents the maximum allowable delay time. i B represents the current bandwidth requirement of device i. total W represents the total system bandwidth capacity. i (t) represents the waiting time of device i at time t, where α, β, and γ are weighting coefficients, and λ is the time decay factor.

[0089] For example, in a multi-device concurrent transmission scenario, QoS adjustment is performed based on the time dimension. Factors such as the urgency of device data, maximum allowable delay time, current bandwidth requirements, total system bandwidth capacity, and device waiting time are comprehensively considered. Weighting coefficients and time decay factors are introduced to calculate priority, resulting in a time-dimensional priority ranking of each device and generating a preliminary priority queue.

[0090] (4) The spatial priority configuration table and the preliminary priority queue are merged to generate a hierarchical transmission queue.

[0091] For example, the spatial priority configuration table is integrated with the initial priority queue in multiple dimensions, and overlapping or contradictory priorities are coordinated through a priority conflict mediation mechanism to generate a hierarchical transmission queue.

[0092] like Figure 2 As shown, based on the spatial risk level distribution map, the spatial risk level of the fire compartment where the equipment is located is determined, and a spatial priority configuration table is generated, including:

[0093] S201: Extract the risk characteristic parameters of each fire compartment in the spatial risk level distribution map, perform quantitative calculations using the risk level algorithm, and generate a quantified risk value for the compartment.

[0094] For example, for each fire compartment, risk characteristic parameters are extracted. These parameters include, but are not limited to, the compartment's function, the building structure's fire resistance rating, the quantity and type of fire protection facilities, the estimated personnel density, and the type and quantity of combustibles. These parameters are then input into a risk level algorithm. Through weighted allocation and comprehensive evaluation of each parameter, the risk level of each compartment is quantitatively converted, generating a quantified risk value for each compartment.

[0095] S202: Based on the geometric matching between the installation coordinates of each fire monitoring device and the spatial risk level distribution map, determine the fire protection zone to which it belongs and generate an equipment zone mapping table.

[0096] For example, the installation coordinates of each fire monitoring device are obtained, and they are compared and matched point by point with the geometric boundaries of each fire compartment in the spatial risk level distribution map to determine the compartment to which each device belongs in the building fire compartmentation system, and a device compartment mapping table that records the correspondence between devices and compartments is generated.

[0097] S203: Based on the device partition mapping table, dynamically weight the partition risk quantification value of the fire protection partition to which each device belongs, and generate the initial priority of the device by combining the preset priority rules.

[0098] For example, based on the equipment zoning mapping table, the zoning risk quantification value of each equipment's zoning is associated. This quantification value is then dynamically weighted and adjusted based on the equipment's monitoring object type, monitoring range, and importance within the fire monitoring network. Referring to preset priority rules, the initial priority of each device is calculated and determined. Monitoring object types include smoke, temperature, and flame. Preset priority rules, such as prioritizing devices for early fire warning over auxiliary monitoring devices, are used.

[0099] S204: Perform conflict detection and priority adjustment on the initial priority of the device, and generate a spatial priority configuration table through the priority allocation algorithm.

[0100] For example, the initial priority of all devices is checked by the system to identify conflicts such as duplicate priority values ​​and low priority of devices in high-risk areas. The priority allocation algorithm is used to make step-by-step adjustments and balances to ensure that the priority ranking is compatible with the risk prevention and control requirements, and a spatial priority configuration table is generated.

[0101] In one embodiment, based on the fire priority communication protocol loaded on the building digital twin platform, multimodal fire protection equipment is registered, authenticated, and configured with communication resources to generate an equipment registration center database, including:

[0102] (1) Perform identity authentication processing on the encrypted registration request of fire protection equipment and generate a list of authenticated equipment.

[0103] For example, the system receives encrypted registration requests submitted by various multimodal fire protection devices, completes identity authentication by verifying the device's built-in identity identifier, encryption certificate, and protocol compatibility, filters out devices that meet the access standards, and generates a list of authenticated devices.

[0104] (2) Mark the risk level of the certified equipment list to generate a risk-marked equipment list.

[0105] For example, based on the equipment's installation location, monitoring range, and functional positioning in the fire protection system, and combined with the risk level classification standards for the building area, corresponding risk level tags are added to certified equipment to generate a list of equipment with risk tags.

[0106] (3) Perform basic bandwidth and time slot quota allocation processing on the list of devices with risk tags to generate a list of registered devices.

[0107] For example, based on the risk level, data transmission frequency, and functional requirements of each device in the risk-marked device list, and in accordance with the resource allocation rules in the fire priority communication protocol, a basic communication bandwidth and time slot quota are allocated to each device to generate a list of registered devices.

[0108] (4) Identify the device types in the list of registered devices and generate a set of device type identifiers.

[0109] For example, the devices in the registered device list are identified by type. Based on the device's monitoring parameters, working principle and interface characteristics, the device type is determined and a unique type identifier is generated. The device type identifier set is then generated.

[0110] (5) Based on the set of equipment type identifiers, perform association mapping on the fire equipment type database stored in the building digital twin platform to generate a sensor-location-protocol association table.

[0111] For example, based on the set of equipment type identifiers, matching equipment model information is retrieved from the fire protection equipment type database stored in the building digital twin platform. The typical installation location range and supported communication protocol parameters of each type of equipment are extracted. The correspondence between sensors, installation locations and communication protocols is established through the equipment type identifiers, and a sensor-location-protocol association table is generated.

[0112] (6) Integrate the sensor-location-protocol association table with the list of registered devices to generate a device registration center database.

[0113] For example, the device type attributes, location characteristics, and protocol parameters recorded in the sensor-location-protocol association table are associated and integrated with the device identity information, resource configuration details, and risk markers in the registered device list to generate a structured data set containing full-dimensional device information, namely the device registration center database.

[0114] In one embodiment, based on the set of equipment type identifiers, an association mapping process is performed on the fire protection equipment type database stored in the building digital twin platform to generate a sensor-location-protocol association table, including:

[0115] (1) For each identifier in the equipment type identifier set, retrieve the matching equipment type entry in the fire equipment type database to generate a preliminary matching result set.

[0116] For example, based on the set of equipment type identifiers, for each equipment type identifier in the set, a search is performed in the fire protection equipment type database stored in the building digital twin platform. According to the encoding rules of the identifiers, they are matched with the feature fields of the equipment type entries in the database to filter out the completely corresponding equipment type information and generate a preliminary matching result set containing equipment model, functional parameters and technical specifications.

[0117] (2) Extract the preset installation location information of each device type entry in the preliminary matching result set to generate a location information set.

[0118] For example, from each equipment type entry in the preliminary matching result set, the preset standard installation location information is extracted. The above information covers the installation area type, spatial height range, and relative positional relationship with other facilities, and is summarized to generate a location information set.

[0119] (3) Extract the communication protocol parameters supported by each device type entry in the preliminary matching result set to generate a protocol parameter set.

[0120] For example, from each device type entry in the preliminary matching result set, the supported communication protocol parameters, including protocol type, data transmission format, interface standard and encryption method, are extracted and organized into a protocol parameter set.

[0121] (4) Perform key-value mapping and integration on the location information set and the protocol parameter set, establish the association relationship through the unique device ID, and generate a sensor-location-protocol association table.

[0122] For example, using the device type identifier as the key, the installation location information in the location information set is associated and mapped with the corresponding communication protocol parameters in the protocol parameter set. By establishing the correspondence between the three through the unique device ID assigned to each type of device, the matching consistency between sensor type, installation location requirements and communication protocol parameters is ensured, and a sensor-location-protocol association table is generated.

[0123] In one embodiment, multi-source data transmitted via a hierarchical transmission queue is acquired, and spatiotemporal alignment and knowledge graph association processing are performed on the multi-source data transmitted to the edge gateway to output a structured security posture report, including:

[0124] (1) Receive and process multi-source data transmitted through hierarchical transmission queues to generate a set of data to be processed.

[0125] For example, multi-source data transmitted to the edge gateway via a hierarchical transmission queue is received and processed. This data comes from different types of fire monitoring equipment, including various monitoring parameters such as smoke concentration, temperature, and flame signals. All received data is classified and summarized according to device identification and transmission time sequence to generate a set of data to be processed.

[0126] (2) Perform timestamp synchronization on the dataset to be processed to generate time-aligned data.

[0127] For example, the timestamp of each piece of data in the dataset to be processed is synchronized. With the system reference clock as a reference, the time deviation caused by local clock drift or transmission delay of each device is corrected, so that the timestamp of all data is unified to the same time dimension, and time-aligned data is generated.

[0128] (3) Perform coordinate correction processing on the spatial coordinate data of the preset building information model to generate equipment position correction data.

[0129] For example, spatial coordinate data from a preset building information model is retrieved, and combined with the actual measurement deviation during equipment installation and the subtle deformation parameters of the building structure, the original installation coordinates of each device are geometrically corrected to eliminate spatial positioning errors and generate device position correction data.

[0130] (4) Integrate the time alignment data and the device position correction data to generate spatial alignment data.

[0131] For example, time-aligned data is associated and integrated with corresponding device location correction data. A mapping relationship between data and spatial location is established through the unique device identifier, so that each monitoring data can reflect the status under a unified time dimension and correspond to its deployment location in the building space, thereby generating spatial alignment data.

[0132] (5) Perform correlation analysis on the fire protection knowledge graph stored in the building digital twin platform to generate a situation analysis with disposal suggestions.

[0133] For example, the fire protection knowledge graph stored in the building digital twin platform is invoked. This graph contains knowledge nodes such as fire evolution patterns, equipment association logic, and historical handling cases. The monitoring parameters in the spatially aligned data are matched with the graph nodes to mine the correlation and potential risks between the data. Combined with preset reasoning rules, a situation analysis with handling suggestions is generated, which includes risk types, scope of impact, and countermeasures.

[0134] (6) Integrate spatial alignment data with situation analysis and output a structured security situation report.

[0135] For example, specific monitoring indicators in spatially aligned data are structurally integrated with risk assessment results and handling recommendations in situation analysis. Information is sorted out according to dimensions such as risk level, regional distribution, and time series to generate standardized documents containing data sources, anomaly characteristics, risk judgments, and response plans, and output a structured security situation report.

[0136] In one embodiment, a pre-defined building fire protection linkage control architecture is used to convert structured safety situation reports into control commands, including:

[0137] (1) Perform semantic parsing on the structured security situation report, extract risk coordinates, risk levels and preset handling suggestions, and generate a set of parsed situation parameters.

[0138] For example, semantic parsing is performed on the structured security situation report to extract the specific spatial coordinates of the risk occurrence recorded in the report, the assessed risk level, and the preset targeted handling suggestions. The above key information is then classified and organized to generate a set of parsed situation parameters.

[0139] (2) Based on the risk coordinates in the situation parameter set, associate with the preset building space database, locate the fire protection execution agencies in the affected area, and generate an agency location list.

[0140] For example, based on the risk coordinates in the situation parameter set, a correlation search is performed with the preset building space database to locate the affected building area corresponding to the risk coordinates, and then all fire protection agencies deployed in the area, including fire extinguishing equipment, alarm devices, evacuation facilities, etc., are queried to generate an agency location list.

[0141] (3) Based on the risk level and handling suggestions in the situation parameter set, match the preset linkage control strategy library to generate an mechanism-action mapping table.

[0142] For example, based on the risk level and handling recommendations in the situation parameter set, a matching is performed in a preset linkage control strategy library. This strategy library contains the action specifications that each fire-fighting execution agency should take under different risk levels. Based on this, the specific action type that each execution agency needs to perform is determined, and an agency-action mapping table is generated.

[0143] (4) Combine the mechanism positioning list and the mechanism-action mapping table to generate specific control parameters for each actuator, and convert the specific control parameters into control instructions through standardized coding.

[0144] For example, by combining the agency location list and the agency-action mapping table, detailed control parameters are formulated for each fire-fighting actuator, including action intensity, start-up timing, and operating mode. In accordance with unified standardized coding rules, the above-mentioned specific control parameters are converted into instruction formats that can be recognized by each actuator, and control instructions are generated.

[0145] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0146] In one embodiment, such as Figure 3 As shown, this application also provides a building fire safety intelligent monitoring system 300, which includes:

[0147] The equipment registration module 301 is used to register and authenticate multimodal fire protection equipment and configure communication resources according to the fire priority communication protocol loaded on the building digital twin platform, and generate an equipment registration center database.

[0148] The priority arbitration module 302 is used to dynamically allocate communication resources and generate hierarchical transmission queues based on information from the device registration center database using a two-dimensional priority arbitration mechanism.

[0149] The three-mode transmission module 303 is used to transmit monitoring data in an uninterrupted manner through a three-mode redundant transmission network based on a hierarchical transmission queue, and generate a multi-path transmission status report.

[0150] The data fusion module 304 is used to acquire multi-source data transmitted through a hierarchical transmission queue, perform spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and output a structured security situation report.

[0151] The linkage execution module 305 is used to convert structured safety situation reports into control commands through a preset building fire protection linkage control architecture.

[0152] Specifically, the device registration module 301 verifies the compliance of the identity and encrypted information submitted by multimodal fire protection equipment based on the fire priority communication protocol loaded on the building digital twin platform, and selects devices that meet the access standards. According to the device type, monitoring function, and deployment area characteristics, it allocates dedicated communication bandwidth, transmission time slots, and protocol adaptation parameters, integrates device authentication results, resource configuration details, and other information, and generates a device registration center database.

[0153] The priority arbitration module 302, based on the device registration center database, performs spatial analysis on the building fire compartmentation plan to determine the risk level of each device's location and generate a spatial priority configuration table. Combining time-dimensional parameters such as the urgency of device data and transmission delay requirements, it generates a preliminary priority queue. Subsequently, it integrates the two types of priority information, dynamically allocates communication resources, and generates a hierarchical transmission queue.

[0154] The tri-mode transmission module 303 sorts the hierarchical transmission queues according to their priorities, matches the corresponding path combinations in the tri-mode redundant transmission network for data of different levels, enables multiple independent paths for high-priority data, monitors the path status in real time and performs fault switching during transmission, records the transmission results, and generates a multi-path transmission status report.

[0155] The data fusion module 304 receives multi-source data transmitted through a hierarchical transmission queue, unifies the timestamps of each data source to generate time-aligned data, and combines the building spatial coordinate system to correct equipment positions and generate equipment position correction data. It integrates the two types of data to generate spatially aligned data, calls upon the fire safety knowledge graph to perform correlation analysis, and generates a situation analysis with response recommendations. Finally, it integrates the analysis results and outputs a structured safety situation report.

[0156] The linkage execution module 305, based on a pre-defined building fire protection linkage control architecture, parses the structured safety situation report to extract risk coordinates, levels, and handling suggestions. It locates the fire protection execution agencies in the affected area based on the risk coordinates, generates an agency location list, and combines the risk level and handling suggestions with the linkage control strategy library to generate an agency-action mapping table. Then, it merges the two lists to generate specific control parameters for each execution agency, which are then standardized and encoded into control commands.

[0157] Priority arbitration module 302 is also used for:

[0158] Spatial analysis and processing are performed on the building fire protection zoning plan stored in the building digital twin platform to generate a spatial risk level distribution map;

[0159] Based on the spatial risk level distribution map, the spatial risk level of the fire compartment where the equipment is located is determined and a spatial priority configuration table is generated.

[0160] Using the following formula, when multiple devices are transmitting concurrently, time-dimensional QoS adjustment is performed on the transmitted data to generate an initial priority queue:

[0161]

[0162] Among them, P i (t) represents the priority weight of device i at time t, D i T represents the urgency of data access for device i. maxB represents the maximum allowable delay time. i B represents the current bandwidth requirement of device i. total W represents the total system bandwidth capacity. i (t) represents the waiting time of device i at time t, where α, β, and γ are weighting coefficients, and λ is the time decay factor;

[0163] The spatial priority configuration table and the preliminary priority queue are merged to generate a hierarchical transmission queue.

[0164] Priority arbitration module 302 is also used for:

[0165] Extract the risk characteristic parameters of each fire compartment from the spatial risk level distribution map, and perform quantitative calculations using a risk level algorithm to generate a quantified risk value for the compartment.

[0166] Based on the geometric matching between the installation coordinates of each fire monitoring device and the spatial risk level distribution map, the fire compartment to which it belongs is determined, and an equipment compartment mapping table is generated.

[0167] Based on the equipment partition mapping table, the partition risk quantification value of each equipment's fire protection partition is dynamically weighted, and the initial priority of the equipment is generated by combining the preset priority rules.

[0168] The initial priority of the devices is checked for conflicts and adjusted accordingly. A spatial priority configuration table is generated through a priority allocation algorithm.

[0169] Device registration module 301 is also used for:

[0170] The encrypted registration requests for fire protection equipment are authenticated, and a list of authenticated devices is generated.

[0171] The list of certified devices is marked with risk levels to generate a list of devices with risk levels.

[0172] The list of devices marked with risk is processed for basic bandwidth and time slot quota allocation to generate a list of registered devices.

[0173] The device types in the registered device list are identified, and a set of device type identifiers is generated.

[0174] Based on the set of equipment type identifiers, the fire equipment type database stored in the building digital twin platform is associated and mapped to generate a sensor-location-protocol association table;

[0175] The sensor-location-protocol association table and the list of registered devices are integrated to generate a device registration center database.

[0176] Device registration module 301 is also used for:

[0177] For each identifier in the equipment type identifier set, retrieve the matching equipment type entry in the fire equipment type database to generate a preliminary matching result set;

[0178] Extract the preset installation location information for each device type entry in the preliminary matching result set to generate a location information set;

[0179] Extract the communication protocol parameters supported by each device type entry in the preliminary matching result set to generate a protocol parameter set;

[0180] The location information set and the protocol parameter set are integrated by key-value mapping, and the association is established through the unique device ID to generate a sensor-location-protocol association table.

[0181] The data fusion module 304 is also used for:

[0182] The system receives and processes multi-source data transmitted through hierarchical transmission queues to generate a set of data to be processed.

[0183] Perform timestamp synchronization on the dataset to be processed to generate time-aligned data;

[0184] Perform coordinate correction processing on the spatial coordinate data of the preset building information model to generate equipment position correction data;

[0185] The time alignment data and device position correction data are integrated and processed to generate spatial alignment data;

[0186] The fire protection knowledge graph stored in the building digital twin platform is subjected to correlation analysis and processing to generate a situation analysis with disposal suggestions;

[0187] The spatial alignment data and situational analysis are integrated and processed to output a structured security situation report.

[0188] The linkage execution module 305 is also used for:

[0189] Semantic parsing is performed on the structured security situation report to extract risk coordinates, risk levels, and preset handling suggestions, generating a set of parsed situation parameters;

[0190] Based on the risk coordinates in the situation parameter set, and in conjunction with the preset building space database, the fire protection enforcement agencies within the affected area are located, and a list of agency locations is generated.

[0191] Based on the risk level and handling recommendations in the situation parameter set, a pre-set linkage control strategy library is matched to generate an agency-action mapping table;

[0192] By combining the mechanism positioning list and the mechanism-action mapping table, specific control parameters for each actuator are generated, and these parameters are then converted into control commands through standardized coding.

[0193] In one embodiment, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0194] In one embodiment, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described method embodiments.

[0195] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0196] The above-described embodiments are merely illustrative of several implementation methods of the embodiments of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the embodiments of this application, and these modifications and improvements all fall within the protection scope of the embodiments of this application.

Claims

1. A method for intelligent monitoring of building fire safety, characterized in that, The method includes: Based on the fire priority communication protocol loaded on the building digital twin platform, multimodal fire protection equipment is registered, authenticated, and configured with communication resources to generate an equipment registration center database. Based on the information in the device registration center database, a two-dimensional priority arbitration mechanism is used to dynamically allocate communication resources and generate hierarchical transmission queues. Based on the hierarchical transmission queue, monitoring data is transmitted with anti-interruption capability through a three-mode redundant transmission network, generating a multi-path transmission status report. The system acquires multi-source data transmitted through the hierarchical transmission queue, performs spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and outputs a structured security posture report. The structured safety situation report is converted into control commands through a pre-set building fire protection linkage control architecture.

2. The intelligent monitoring method for building fire safety according to claim 1, characterized in that, The method of dynamically allocating communication resources and generating hierarchical transmission queues based on information from the device registration center database includes: Spatial analysis and processing are performed on the building fire zoning planning map stored in the building digital twin platform to generate a spatial risk level distribution map; Based on the aforementioned spatial risk level distribution map, the spatial risk level of the fire protection zone where the equipment is located is determined, and a spatial priority configuration table is generated. Using the following formula, when multiple devices are transmitting concurrently, time-dimensional QoS adjustment is performed on the transmitted data to generate an initial priority queue: Among them, P i (t) represents the priority weight of device i at time t, D i T represents the urgency of data access for device i. max B represents the maximum allowable delay time. i B represents the current bandwidth requirement of device i. total W represents the total system bandwidth capacity. i (t) represents the waiting time of device i at time t, where α, β, and γ are weighting coefficients, and λ is the time decay factor; The spatial priority configuration table and the preliminary priority queue are merged to generate the hierarchical transmission queue.

3. The intelligent monitoring method for building fire safety according to claim 2, characterized in that, The process of determining the spatial risk level of the fire compartment where the equipment is located based on the spatial risk level distribution map, and generating a spatial priority configuration table, includes: Extract the risk characteristic parameters of each fire compartment in the spatial risk level distribution map, and perform quantitative calculations using a risk level algorithm to generate a quantified risk value for the compartment. Based on the geometric matching between the installation coordinates of each fire monitoring device and the spatial risk level distribution map, the fire protection zone to which it belongs is determined, and an equipment zone mapping table is generated. Based on the device partition mapping table, the partition risk quantification value of each device's fire protection partition is dynamically weighted, and the initial priority of the device is generated in combination with the preset priority rules. The initial priority of the device is subjected to conflict detection and priority adjustment, and the spatial priority configuration table is generated by the priority allocation algorithm.

4. The intelligent monitoring method for building fire safety according to claim 1, characterized in that, The process of registering and authenticating multimodal fire protection equipment and configuring communication resources based on the fire priority communication protocol loaded on the building digital twin platform, and generating an equipment registration center database, includes: The encrypted registration requests for fire protection equipment are authenticated, and a list of authenticated devices is generated. The authentication process involves marking the device list with risk levels to generate a device list with risk markings. The list of devices with risk tags is processed to allocate basic bandwidth and time slot quotas to generate a list of registered devices. The device types in the registered device list are identified to generate a set of device type identifiers; Based on the set of equipment type identifiers, the fire equipment type database stored in the building digital twin platform is subjected to association mapping processing to generate a sensor-location-protocol association table; The sensor-location-protocol association table and the list of registered devices are integrated to generate the device registration center database.

5. The intelligent monitoring method for building fire safety according to claim 4, characterized in that, The process of associating and mapping the fire equipment type database stored in the building digital twin platform based on the equipment type identifier set to generate a sensor-location-protocol association table includes: For each identifier in the set of equipment type identifiers, a matching equipment type entry is retrieved from the fire equipment type database to generate a preliminary matching result set; Extract the preset installation location information for each device type entry in the preliminary matching result set to generate a location information set; Extract the communication protocol parameters supported by each device type entry in the preliminary matching result set to generate a protocol parameter set; The location information set and the protocol parameter set are integrated by key-value mapping, and the association is established through a unique device ID to generate the sensor-location-protocol association table.

6. The intelligent monitoring method for building fire safety according to claim 1, characterized in that, The process of acquiring multi-source data transmitted via the hierarchical transmission queue, performing spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and outputting a structured security posture report includes: The multi-source data transmitted through the hierarchical transmission queue is received and processed to generate a set of data to be processed. The dataset to be processed is timestamped to generate time-aligned data. Perform coordinate correction processing on the spatial coordinate data of the preset building information model to generate equipment position correction data; The time alignment data and the device position correction data are integrated and processed to generate spatial alignment data; The fire protection knowledge graph stored in the building digital twin platform is subjected to correlation analysis and processing to generate a situation analysis with disposal suggestions; The spatial alignment data and the situation analysis are integrated and processed to output the structured security situation report.

7. The intelligent monitoring method for building fire safety according to claim 1, characterized in that, The process of converting the structured safety situation report into control commands through a pre-set building fire protection linkage control architecture includes: The structured security situation report is semantically parsed to extract risk coordinates, risk levels, and preset handling suggestions, generating a set of parsed situation parameters. Based on the risk coordinates in the aforementioned situation parameter set, and in conjunction with a preset building space database, the fire protection enforcement agencies within the affected area are located, and a list of agency locations is generated. Based on the risk level and handling suggestions in the set of situational parameters, a preset linkage control strategy library is matched to generate an mechanism-action mapping table; By combining the mechanism positioning list and the mechanism-action mapping table, specific control parameters for each actuator are generated, and the specific control parameters are converted into control commands through standardized coding.

8. A building fire safety intelligent monitoring system, characterized in that, The system includes: The equipment registration module is used to register and authenticate multimodal fire protection equipment and configure communication resources according to the fire priority communication protocol loaded on the building digital twin platform, and generate an equipment registration center database. The priority arbitration module is used to dynamically allocate communication resources and generate hierarchical transmission queues based on the information in the device registration center database using a two-dimensional priority arbitration mechanism. The three-mode transmission module is used to transmit monitoring data in an uninterrupted manner through a three-mode redundant transmission network based on the hierarchical transmission queue, and generate a multi-path transmission status report. The data fusion module is used to acquire multi-source data transmitted through the hierarchical transmission queue, perform spatiotemporal alignment and knowledge graph association processing on the multi-source data transmitted to the edge gateway, and output a structured security situation report. The linkage execution module is used to convert the structured safety situation report into control commands through a preset building fire protection linkage control architecture.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent monitoring method for building fire safety as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent monitoring method for building fire safety as described in any one of claims 1 to 7.

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