Fire-fighting integrated safety collaborative management and control method, system and software product

Abstract

The invention belongs to the technical field of fire safety, and particularly discloses a fire-fighting integrated safety collaborative management and control method and system and a software product, and the method comprises the steps: carrying out the comprehensive analysis and feature extraction through collecting the multi-dimensional fire early warning information of a target building, and carrying out the fusion construction of a multi-dimensional fire feature set, according to the method, fire control plan map matching is carried out based on the fire feature set, a collaborative control strategy is obtained, multi-terminal fire safety collaborative control is carried out according to the collaborative control strategy, and accurate fire judgment and efficient fire safety collaborative control can be realized. According to the method, deep cognition of fire nature can be realized, the false alarm rate is greatly reduced, and rich situation awareness information is provided; a traditional island response mode can be changed, a collaborative management and control strategy based on global optimum is generated, action conflicts are avoided, and collaborative management and control efficiency is improved; an adaptive fire-fighting collaborative management and control strategy can be dynamically fed back according to the multi-dimensional fire monitoring information of the building, and the system is suitable for complex and changeable application scenes.

Description

Technical Field

[0001] This invention belongs to the field of fire safety technology, specifically relating to an integrated fire safety collaborative management and control method, system, and software product. Background Technology

[0002] Traditional building fire safety systems typically rely on single sensors such as temperature and smoke detectors for monitoring and early warning, with fixed response patterns and a lack of multi-dimensional and precise understanding of fire conditions. Furthermore, the various fire control actions within the system (such as alarms, sprinklers, smoke extraction, evacuation guidance, elevator emergency descent, and access control) often operate independently or rely on simple linkage logic, failing to provide dynamic and optimized coordinated responses based on the specific fire situation. This can lead to high false alarm rates, delayed responses, inappropriate response strategies, and even conflicting fire control actions (such as sprinkler systems clashing with electrical fires), thereby exacerbating the disaster.

[0003] While some existing technologies mention multi-source information fusion processing, they mostly remain at the level of simple data overlay, lacking in-depth analysis of the nature of the fire. Furthermore, in terms of collaborative management, they often employ static "IF-THEN" rules, which are unable to adapt to complex and ever-changing real-world scenarios and lack the adaptive matching capability for multi-terminal collaborative strategies. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and software product for integrated fire protection and safety collaborative management, in order to solve the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for integrated fire protection and collaborative safety management is provided, including: Acquire a multi-dimensional fire early warning information set for the target building, which includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. Extract each environmental sensor early warning information and its associated location information from the environmental sensor early warning information set; extract each equipment and facility early warning information and its associated location information from the equipment and facility early warning information set; extract each image monitoring early warning information and its associated location information from the image monitoring early warning information set. Based on the associated location information, the location of each environmental sensor warning information, each equipment and facility warning information, and each image monitoring warning information is determined, and when a set number of environmental sensor warning information, equipment and facility warning information, and image monitoring warning information are associated with the same area, that area is taken as the target area. Based on the quantity of environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information related to the target area, the fire confidence level of the target area is determined, and the regional location information of the target area is determined. By utilizing the regional location information of the target area, the fire confidence level, and the environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area, a fire feature set of the target area is constructed. The fire feature set of the target area is substituted into the pre-set fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information. The system sends building system control information to the building fire protection system of the target building, sends personnel evacuation guidance information to the terminal of the duty personnel of the target building, and sends external linkage alarm information to the fire protection center platform.

[0006] In one possible design, the environmental sensing early warning information includes early warning temperature data, early warning smoke concentration data, and early warning gas concentration data; the equipment and facility early warning information includes early warning electrical status parameters and early warning gas pipeline parameters; and the image monitoring early warning information includes early warning visible light image data and early warning infrared thermal imaging data.

[0007] In one possible design, the regional location information includes a region number, and the fire feature set is {fire confidence level, environmental sensor anomaly level, equipment and facility anomaly level, image monitoring anomaly level, region number}.

[0008] In one possible design, the construction of a fire feature set for the target area, utilizing the target area's location information, fire confidence level, and associated environmental sensor warning information, equipment and facility warning information, and image monitoring warning information, includes: The system matches the warning temperature data of the associated target area with a preset temperature classification table to obtain the temperature level corresponding to each warning temperature data, and takes the highest level among all temperature levels as the temperature anomaly level; the system matches the warning smoke concentration data of the associated target area with a preset smoke concentration classification table to obtain the smoke concentration level corresponding to each warning smoke concentration data, and takes the highest level among all smoke concentration levels as the smoke anomaly level; the system matches the warning gas concentration data of the associated target area with a preset gas concentration classification table to obtain the gas concentration level corresponding to each warning gas concentration data, and takes the highest level among all gas concentration levels as the gas anomaly level; the highest level among the temperature anomaly level, smoke anomaly level, and gas anomaly level is taken as the environmental sensing anomaly level; The electrical status parameters of each warning target area are matched with a preset electrical status classification table to obtain the electrical status level corresponding to each warning electrical status parameter, and the highest level among all electrical status levels is taken as the electrical parameter anomaly level; the gas pipeline parameters of each warning target area are matched with a preset gas pipeline status classification table to obtain the gas pipeline status level corresponding to each warning gas pipeline parameter, and the highest level among all gas pipeline status levels is taken as the gas pipeline parameter anomaly level; the highest level among the electrical parameter anomaly level and the gas pipeline parameter anomaly level is taken as the equipment and facility anomaly level; The visible light image data and infrared thermal imaging data of each warning target area are input into the pre-trained flame recognition model to identify flames, obtain the corresponding flame intensity level, and take the highest level among the flame intensity levels as the image monitoring anomaly level. A fire feature set is composed of fire confidence level, area code, environmental sensor anomaly level, equipment and facility anomaly level, and image monitoring anomaly level.

[0009] In one possible design, the fire control plan map includes fire confidence nodes. Each fire confidence node is topologically connected to several environmental sensor anomaly nodes, and the connections between the fire confidence nodes and each environmental sensor anomaly node are associated with corresponding fire confidence intervals. Each environmental sensor anomaly node is topologically connected to several equipment and facility anomaly nodes, and the connections between the environmental sensor anomaly nodes and each equipment and facility anomaly node are associated with corresponding environmental sensor anomaly levels. Each equipment and facility anomaly node is topologically connected to several image monitoring anomaly nodes, and the connections between the equipment and facility anomaly nodes and each image monitoring anomaly node are associated with corresponding equipment and facility anomaly levels. Each image monitoring anomaly node is topologically connected to several area numbering nodes, and the connections between the image monitoring anomaly nodes and each area numbering node are associated with corresponding image monitoring anomaly levels. Each area numbering node is connected to a corresponding collaborative control strategy.

[0010] In one possible design, the location information includes point coordinates. The step of determining the location of each environmental sensor warning message, each equipment and facility warning message, and each image monitoring warning message based on the associated location information, and when a predetermined number of environmental sensor warning messages, equipment and facility warning messages, and image monitoring warning messages are associated with the same area, designating that area as the target area, includes: The coordinates of the points associated with the early warning information from various environmental sensors, equipment and facilities, and image monitoring are imported into the preset 3D model of the target building for point marking. The K-Means clustering algorithm is then used to cluster the marked points in the 3D model of the target building to obtain several clustering regions. The environmental sensing early warning information, equipment and facility early warning information, or image monitoring early warning information associated with each point in the corresponding cluster area are classified into that cluster area, and the cluster area containing the number of environmental sensing early warning information, equipment and facility early warning information, and image monitoring early warning information reaches the set number threshold is taken as the target cluster area. Determine the center point of the target cluster region, and take the building division region in the target building 3D model where the center point of the target cluster region is located as the building region to which the target cluster region belongs; The building area to which the target cluster belongs is taken as the target area.

[0011] In one possible design, determining the fire confidence level of the target area based on the quantity of environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information related to the target area includes: Determine the number of environmental sensor early warning messages (E), the number of equipment and facility early warning messages (S), and the number of image monitoring early warning messages (T) for the associated target area; The number of environmental sensor early warning messages E, the number of equipment and facility early warning messages S, and the number of image monitoring early warning messages T in the associated target area are substituted into a preset fire confidence formula to calculate the fire confidence level of the target area. The fire confidence formula is as follows:

[0012] Where Z represents the fire confidence level, and E r S is the set reference quantity for environmental sensor early warning information. r T serves as a reference quantity for early warning information on equipment and facilities. r For the reference quantity of image monitoring and early warning information, α, β, and γ are assigned weight coefficients to the corresponding items.

[0013] Secondly, a fire protection integrated safety collaborative management and control system is provided, including an information acquisition unit, a multi-dimensional extraction unit, a region determination unit, a feature determination unit, a feature composition unit, a strategy matching unit, and an information transmission unit, wherein: The information acquisition unit is used to acquire a multi-dimensional fire early warning information set of the target building, which includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. The multi-dimensional extraction unit is used to extract various environmental sensor early warning information and their associated location information from the environmental sensor early warning information set, extract various equipment and facility early warning information and their associated location information from the equipment and facility early warning information set, and extract various image monitoring early warning information and their associated location information from the image monitoring early warning information set. The area determination unit is used to determine the location of each environmental sensor warning information, each equipment and facility warning information and each image monitoring warning information based on the associated location information, and when a set number of environmental sensor warning information, equipment and facility warning information and image monitoring warning information are associated with the same area, the area is taken as the target area. The feature determination unit is used to determine the fire confidence level of the target area and the regional location information of the target area based on the quantity of environmental sensing early warning information, equipment and facility early warning information and image monitoring early warning information associated with the target area. The feature building unit is used to construct a fire feature set of the target area by utilizing the regional location information of the target area, the fire confidence level, and the environmental sensing early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area. The strategy matching unit is used to substitute the fire feature set of the target area into the preset fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information. The information sending unit is used to send building system control information to the building fire protection system of the target building, send personnel evacuation guidance information to the duty personnel terminal of the target building, and send external linkage alarm information to the fire protection center platform.

[0014] Thirdly, a fire protection integrated safety collaborative management and control system is provided, including: Memory, used to store instructions; The processor is configured to read instructions stored in the memory and execute any one of the fire protection integrated safety collaborative management and control methods described in the first aspect above, according to the instructions.

[0015] Fourthly, a computer-readable storage medium is provided, on which instructions are stored, which, when executed on a computer, cause the computer to perform any one of the integrated fire protection and safety collaborative management methods described in the first aspect. Simultaneously, a computer software product is also provided, which, when executed on a computer, performs any one of the integrated fire protection and safety collaborative management methods described in the first aspect.

[0016] Beneficial Effects: This invention collects multi-dimensional fire early warning information from target buildings, performs comprehensive analysis and feature extraction, then integrates and constructs a multi-dimensional fire feature set. Based on this feature set, it performs fire control plan mapping matching to obtain a collaborative control strategy. Finally, based on this strategy, it implements multi-terminal fire safety collaborative control, achieving accurate fire situation assessment and efficient fire safety collaborative control. This invention, through comprehensive reasoning of multi-source monitoring information, enables a deep understanding of the nature of fires, significantly reducing false alarm rates and providing rich situational awareness information. It changes the traditional isolated response mode, generating globally optimal collaborative control strategies, avoiding action conflicts, and improving collaborative control efficiency. Furthermore, it dynamically feeds back adapted fire collaborative control strategies based on multi-dimensional fire monitoring information of buildings, adapting to complex and ever-changing application scenarios. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the system configuration in Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the system configuration in Embodiment 3 of the present invention. Detailed Implementation

[0019] It should be noted that the descriptions of these embodiments are intended to aid in understanding the invention and do not constitute a limitation thereof. The specific structural and functional details disclosed herein are merely for describing exemplary embodiments of the invention. However, the invention may be embodied in many alternative forms and should not be construed as being limited to the embodiments described herein.

[0020] It should be understood that, unless otherwise explicitly specified and limited, the corresponding terms should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in the embodiments according to the specific circumstances.

[0021] Specific details are provided in the following description to provide a complete understanding of the exemplary embodiments. However, those skilled in the art will understand that the exemplary embodiments can be implemented without these specific details. For example, apparatus may be shown in block diagrams to avoid obscuring the examples with unnecessary details. In other embodiments, well-known processes, structures, and techniques may be omitted with non-essential details to avoid obscuring the embodiments.

[0022] Example 1: This embodiment provides an integrated fire safety collaborative management and control method, which can be applied to corresponding fire safety management and control terminals, such as... Figure 1 As shown, the method includes the following steps: S1. Obtain a multi-dimensional fire early warning information set for the target building, wherein the multi-dimensional fire early warning information set includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set.

[0023] In specific implementation, the control terminal first acquires a multi-dimensional fire early warning information set for the target building. This multi-dimensional fire early warning information set includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. Specifically, the environmental sensor early warning information set includes various environmental sensor early warning information and their associated location information. Each environmental sensor early warning information set includes early warning temperature data, early warning smoke concentration data, and early warning gas concentration data. The early warning temperature data originates from temperature sensors deployed in the target building, the early warning smoke concentration data can originate from smoke sensors deployed in the target building, and the early warning gas concentration data originates from gas sensors deployed in the target building. The equipment and facility early warning information set includes various equipment and facility early warning information and their associated location information. Each equipment and facility early warning information set includes early warning electrical status parameters and early warning gas pipeline parameters. The warning electrical status parameters are derived from the status sensors of various electrical equipment (such as current sensors, voltage sensors, etc.) deployed in the target building, and the warning gas pipeline parameters are derived from the detection sensors of various gas pipelines (such as pressure sensors, flow sensors, etc.) deployed in the target building. The image monitoring warning information set contains various image monitoring warning information and their associated location information. Each image monitoring warning information includes each warning visible light image data and each warning infrared thermal imaging data. Each warning visible light image data is derived from each visible light camera deployed in the target building, and each warning infrared thermal imaging data is derived from each infrared thermal imaging camera deployed in the target building.

[0024] S2. Extract each environmental sensor early warning information and its associated location information from the environmental sensor early warning information set, extract each equipment and facility early warning information and its associated location information from the equipment and facility early warning information set, and extract each image monitoring early warning information and its associated location information from the image monitoring early warning information set.

[0025] In practice, after obtaining the multi-dimensional fire early warning information set of the target building, the control terminal can extract each environmental sensor early warning information and its associated location information from the environmental sensor early warning information set, extract each equipment and facility early warning information and its associated location information from the equipment and facility early warning information set, and extract each image monitoring early warning information and its associated location information from the image monitoring early warning information set. The location information includes the coordinates of the corresponding data source.

[0026] S3. Determine the location of each environmental sensor warning information, each equipment and facility warning information, and each image monitoring warning information based on the associated location information, and when it is determined that a set number of environmental sensor warning information, equipment and facility warning information, and image monitoring warning information are associated with the same area, take that area as the target area.

[0027] In practice, the control terminal first imports the coordinates of the points associated with each environmental sensor warning, equipment and facility warning, and image monitoring warning into a pre-set 3D model of the target building for point marking. Then, it uses the K-Means clustering algorithm to cluster the marked points in the 3D model of the target building, resulting in several cluster regions. Next, it categorizes the environmental sensor warning, equipment and facility warning, or image monitoring warning associated with each point in the corresponding cluster region into that cluster region. The cluster region containing the number of environmental sensor warning, equipment and facility warning, and image monitoring warnings reaches a set threshold is designated as the target cluster region. Then, it determines the center point of the target cluster region and defines the building area in the 3D model of the target building where the center point of the target cluster region is located as the building area to which the target cluster region belongs. Finally, it designates the building area to which the target cluster region belongs (such as a floor, office area, living room, etc.) as the target area and marks the regional location information of the target area in the 3D model of the target building. The regional location information includes the area number.

[0028] S4. Based on the quantity of environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information related to the target area, determine the fire confidence level of the target area and determine the regional location information of the target area.

[0029] In practice, the control terminal can determine the number of environmental sensor warning messages E, the number of equipment and facility warning messages S, and the number of image monitoring warning messages T in the associated target area; then, it substitutes the number of environmental sensor warning messages E, the number of equipment and facility warning messages S, and the number of image monitoring warning messages T in the associated target area into a preset fire confidence level formula for calculation to obtain the fire confidence level of the target area. The fire confidence level formula is as follows:

[0030] Where Z represents the fire confidence level, and Er S is the set reference quantity for environmental sensor early warning information. r T serves as a reference quantity for early warning information on equipment and facilities. r The reference quantity for image monitoring and early warning information is set by α, β and γ, respectively, and weighting coefficients are assigned to the corresponding items, α+β+γ=1.

[0031] S5. Construct a fire feature set for the target area by utilizing the regional location information, fire confidence level, and environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area.

[0032] In practical implementation, the control terminal can match the warning temperature data of each associated target area with a preset temperature classification table to obtain the temperature level corresponding to each warning temperature data, and take the highest level among all temperature levels as the temperature anomaly level; match the warning smoke concentration data of each associated target area with a preset smoke concentration classification table to obtain the smoke concentration level corresponding to each warning smoke concentration data, and take the highest level among all smoke concentration levels as the smoke anomaly level; match the warning gas concentration data of each associated target area with a preset gas concentration classification table to obtain the gas concentration level corresponding to each warning gas concentration data, and take the highest level among all gas concentration levels as the gas anomaly level; and take the highest level among the temperature anomaly level, smoke anomaly level, and gas anomaly level as the environmental sensing anomaly level. The electrical status parameters of each warning target area are matched with a preset electrical status classification table to obtain the electrical status level corresponding to each warning electrical status parameter, and the highest level among all electrical status levels is taken as the electrical parameter anomaly level; the gas pipeline parameters of each warning target area are matched with a preset gas pipeline status classification table to obtain the gas pipeline status level corresponding to each warning gas pipeline parameter, and the highest level among all gas pipeline status levels is taken as the gas pipeline parameter anomaly level; the highest level among the electrical parameter anomaly level and the gas pipeline parameter anomaly level is taken as the equipment and facility anomaly level; Each early warning visible light image data and each early warning infrared thermal imaging data of the associated target area are input into a pre-trained flame recognition model for flame recognition (the flame recognition model can be used to detect the presence and location of flames, and can also be extended to realize the quantitative output of flame parameters, such as calculating the flame coverage area by the detection box area or segmentation mask. The area change can reflect the flame intensity. For example, the output flame intensity needs to add a regression head or auxiliary branch on the basis of target detection, such as using the YOLOv8 multi-task learning architecture to predict bounding boxes and parameter values ​​at the same time. The data annotation needs to include parameter annotations (such as flame area / intensity annotations) and introduce a loss function to constrain the parameter prediction accuracy). The corresponding flame intensity level is obtained, and the highest level among the flame intensity levels is taken as the image monitoring anomaly level. Finally, the fire feature set {fire confidence level, environmental sensor anomaly level, equipment and facility anomaly level, and image monitoring anomaly level} is composed using fire confidence level, area code, environmental sensor anomaly level, equipment and facility anomaly level, and image monitoring anomaly level.

[0033] S6. Substitute the fire feature set of the target area into the preset fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information.

[0034] In practice, the control terminal substitutes the fire feature set of the target area {fire confidence level, environmental sensor anomaly level, equipment and facility anomaly level, image monitoring anomaly level, area number} into the pre-set fire control plan map for traversal and matching to obtain the corresponding collaborative control strategy. The fire control plan graph is a pre-configured knowledge graph for the target building. It includes fire confidence nodes, which are topologically connected to several environmental sensor anomaly nodes, with each connection linking a fire confidence node to a corresponding fire confidence interval. Each environmental sensor anomaly node is topologically connected to several equipment and facility anomaly nodes, with each connection linking a corresponding environmental sensor anomaly level. Each equipment and facility anomaly node is topologically connected to several image monitoring anomaly nodes, with each connection linking a corresponding equipment and facility anomaly level. Each image monitoring anomaly node is topologically connected to several area number nodes, with each connection linking a corresponding image monitoring anomaly level. Each area number node is connected to a corresponding collaborative control strategy. Once a fire feature set is obtained, it can be directly imported into the fire control plan graph for traversal and retrieval to obtain accurate collaborative control strategies. These collaborative control strategies include building system control information, personnel evacuation guidance information, and external linkage alarm information.

[0035] S7. Send building system control information to the building fire protection system of the target building, send personnel evacuation guidance information to the duty personnel terminal of the target building, and send external linkage alarm information to the fire protection center platform.

[0036] In practice, the control terminal sends building system control information to the target building's fire protection system, enabling the target building's fire protection system to operate the fire alarm control panel, sprinkler / gas extinguishing controller, smoke exhaust fan controller, intelligent evacuation guidance system, elevator controller, access control controller, power controller, and other components according to the pre-set optimal action combinations and timing logic. The control terminal also sends evacuation guidance information to the personnel terminals on duty in the target building, providing evacuation guidance for fire safety personnel, security personnel, and personnel in affected areas. Furthermore, the control terminal sends external alarm information to the fire control center platform, automatically notifying the fire control center and simultaneously pushing key information such as fire assessment results, multi-dimensional fire early warning information sets, and a 3D model of the target building.

[0037] This method, through comprehensive reasoning of multi-source monitoring information, can achieve a deep understanding of the nature of the fire, significantly reduce the false alarm rate, and provide rich situational awareness information; it can change the traditional isolated response mode, generate a collaborative control strategy based on global optimization, avoid action conflicts, and improve the efficiency of collaborative control; it can dynamically feed back and adapt fire collaborative control strategies based on the multi-dimensional fire monitoring information of the building, adapting to complex and ever-changing application scenarios.

[0038] Example 2: This embodiment provides an integrated fire protection safety collaborative management and control system, such as Figure 2 As shown, it includes an information acquisition unit, a multi-dimensional extraction unit, a region determination unit, a feature determination unit, a feature construction unit, a strategy matching unit, and an information sending unit, wherein: The information acquisition unit is used to acquire a multi-dimensional fire early warning information set of the target building, which includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. The multi-dimensional extraction unit is used to extract various environmental sensor early warning information and their associated location information from the environmental sensor early warning information set, extract various equipment and facility early warning information and their associated location information from the equipment and facility early warning information set, and extract various image monitoring early warning information and their associated location information from the image monitoring early warning information set. The area determination unit is used to determine the location of each environmental sensor warning information, each equipment and facility warning information and each image monitoring warning information based on the associated location information, and when a set number of environmental sensor warning information, equipment and facility warning information and image monitoring warning information are associated with the same area, the area is taken as the target area. The feature determination unit is used to determine the fire confidence level of the target area and the regional location information of the target area based on the quantity of environmental sensing early warning information, equipment and facility early warning information and image monitoring early warning information associated with the target area. The feature building unit is used to construct a fire feature set of the target area by utilizing the regional location information of the target area, the fire confidence level, and the environmental sensing early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area. The strategy matching unit is used to substitute the fire feature set of the target area into the preset fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information. The information sending unit is used to send building system control information to the building fire protection system of the target building, send personnel evacuation guidance information to the duty personnel terminal of the target building, and send external linkage alarm information to the fire protection center platform.

[0039] Example 3: This embodiment provides an integrated fire protection safety collaborative management and control system, such as Figure 3 As shown, at the hardware level, it includes: The data interface is used to establish data communication between the processor and external data terminals; Memory, used to store instructions; The processor is used to read the instructions stored in the memory and execute the integrated fire protection and safety collaborative management method in Embodiment 1 according to the instructions.

[0040] Optionally, the system also includes an internal bus, through which the processor, memory, and data interface can be interconnected. This internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0041] The memory may include, but is not limited to, random access memory (RAM), read-only memory (ROM), flash memory, first-in-first-out (FIFO) memory, and / or first-in-last-out (FILO) memory. The processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0042] Example 4: This embodiment provides a computer-readable storage medium storing instructions. When these instructions are executed on a computer, the computer performs the integrated fire protection and safety collaborative control method described in Embodiment 1. The computer-readable storage medium refers to a data storage medium, which may include, but is not limited to, floppy disks, optical disks, hard disks, flash memory, USB flash drives, and / or Memory Sticks. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0043] This embodiment also provides a computer software product that, when run on a computer, executes the integrated fire protection and safety collaborative management method described in Embodiment 1. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0044] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for integrated fire protection safety collaborative management and control, characterized in that, include: Acquire a multi-dimensional fire early warning information set for the target building, which includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. Extract each environmental sensor early warning information and its associated location information from the environmental sensor early warning information set; extract each equipment and facility early warning information and its associated location information from the equipment and facility early warning information set; extract each image monitoring early warning information and its associated location information from the image monitoring early warning information set. Based on the associated location information, the location of each environmental sensor warning information, each equipment and facility warning information, and each image monitoring warning information is determined, and when a set number of environmental sensor warning information, equipment and facility warning information, and image monitoring warning information are associated with the same area, that area is taken as the target area. Based on the quantity of environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information related to the target area, the fire confidence level of the target area is determined, and the regional location information of the target area is determined. By utilizing the regional location information of the target area, the fire confidence level, and the environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area, a fire feature set of the target area is constructed. The fire feature set of the target area is substituted into the pre-set fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information. The system sends building system control information to the building fire protection system of the target building, sends personnel evacuation guidance information to the terminal of the duty personnel of the target building, and sends external linkage alarm information to the fire protection center platform.

2. The integrated fire protection safety collaborative management and control method according to claim 1, characterized in that, The environmental sensor warning information includes warning temperature data, warning smoke concentration data, and warning gas concentration data; the equipment and facility warning information includes warning electrical status parameters and warning gas pipeline parameters; and the image monitoring warning information includes warning visible light image data and warning infrared thermal imaging data.

3. The integrated fire protection safety collaborative management and control method according to claim 2, characterized in that, The regional location information includes a region number, and the fire feature set is {fire confidence level, environmental sensor anomaly level, equipment and facility anomaly level, image monitoring anomaly level, region number}.

4. The integrated fire protection and safety collaborative management method according to claim 3, characterized in that, The method utilizes the regional location information of the target area, the fire confidence level, and the associated environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information of the target area to construct a fire feature set for the target area, including: The system matches the warning temperature data of the associated target area with a preset temperature classification table to obtain the temperature level corresponding to each warning temperature data, and takes the highest level among all temperature levels as the temperature anomaly level; the system matches the warning smoke concentration data of the associated target area with a preset smoke concentration classification table to obtain the smoke concentration level corresponding to each warning smoke concentration data, and takes the highest level among all smoke concentration levels as the smoke anomaly level; the system matches the warning gas concentration data of the associated target area with a preset gas concentration classification table to obtain the gas concentration level corresponding to each warning gas concentration data, and takes the highest level among all gas concentration levels as the gas anomaly level; the highest level among the temperature anomaly level, smoke anomaly level, and gas anomaly level is taken as the environmental sensing anomaly level; The electrical status parameters of each warning target area are matched with a preset electrical status classification table to obtain the electrical status level corresponding to each warning electrical status parameter, and the highest level among all electrical status levels is taken as the electrical parameter anomaly level; the gas pipeline parameters of each warning target area are matched with a preset gas pipeline status classification table to obtain the gas pipeline status level corresponding to each warning gas pipeline parameter, and the highest level among all gas pipeline status levels is taken as the gas pipeline parameter anomaly level; the highest level among the electrical parameter anomaly level and the gas pipeline parameter anomaly level is taken as the equipment and facility anomaly level; The visible light image data and infrared thermal imaging data of each warning target area are input into the pre-trained flame recognition model to identify flames, obtain the corresponding flame intensity level, and take the highest level among the flame intensity levels as the image monitoring anomaly level. A fire feature set is composed of fire confidence level, area code, environmental sensor anomaly level, equipment and facility anomaly level, and image monitoring anomaly level.

5. The integrated fire protection safety collaborative management and control method according to claim 3, characterized in that, The fire control plan map includes fire confidence nodes, which are topologically connected to several environmental sensor anomaly nodes, and the connections between the fire confidence nodes and each environmental sensor anomaly node are associated with corresponding fire confidence intervals. Each environmental sensor anomaly node is topologically connected to several equipment and facility anomaly nodes, and the connections between the environmental sensor anomaly nodes and each equipment and facility anomaly node are associated with corresponding environmental sensor anomaly levels. Each equipment and facility anomaly node is topologically connected to several image monitoring anomaly nodes, and the connections between the equipment and facility anomaly nodes and each image monitoring anomaly node are associated with corresponding equipment and facility anomaly levels. Each image monitoring anomaly node is topologically connected to several area number nodes, and the connections between the image monitoring anomaly nodes and each area number node are associated with corresponding image monitoring anomaly levels. Each area number node is connected to a corresponding collaborative control strategy.

6. The integrated fire protection and safety collaborative management method according to claim 1, characterized in that, The location information includes point coordinates. The step of determining the location of each environmental sensor warning message, each equipment and facility warning message, and each image monitoring warning message based on the associated location information, and when a predetermined number of environmental sensor warning messages, equipment and facility warning messages, and image monitoring warning messages are associated with the same area, designating that area as the target area, includes: The coordinates of the points associated with the early warning information from various environmental sensors, equipment and facilities, and image monitoring are imported into the preset 3D model of the target building for point marking. The K-Means clustering algorithm is then used to cluster the marked points in the 3D model of the target building to obtain several clustering regions. The environmental sensing early warning information, equipment and facility early warning information, or image monitoring early warning information associated with each point in the corresponding cluster area are classified into that cluster area, and the cluster area containing the number of environmental sensing early warning information, equipment and facility early warning information, and image monitoring early warning information reaches the set number threshold is taken as the target cluster area. Determine the center point of the target cluster region, and take the building division region in the target building 3D model where the center point of the target cluster region is located as the building region to which the target cluster region belongs; The building area to which the target cluster belongs is taken as the target area.

7. The integrated fire protection and safety collaborative management method according to claim 1, characterized in that, The determination of the fire confidence level in the target area based on the quantity of environmental sensor early warning information, equipment and facility early warning information, and image monitoring early warning information related to the target area includes: Determine the number of environmental sensor early warning messages (E), the number of equipment and facility early warning messages (S), and the number of image monitoring early warning messages (T) for the associated target area; The number of environmental sensor early warning messages E, the number of equipment and facility early warning messages S, and the number of image monitoring early warning messages T in the associated target area are substituted into a preset fire confidence formula to calculate the fire confidence level of the target area. The fire confidence formula is as follows: Where Z represents the fire confidence level, and E r S is the set reference quantity for environmental sensor early warning information. r T serves as a reference quantity for early warning information on equipment and facilities. r For the reference quantity of image monitoring and early warning information, α, β, and γ are assigned weight coefficients to the corresponding items.

8. A fire protection integrated safety collaborative control system, characterized in that, It includes an information acquisition unit, a multi-dimensional extraction unit, a region determination unit, a feature determination unit, a feature construction unit, a strategy matching unit, and an information transmission unit, wherein: The information acquisition unit is used to acquire a multi-dimensional fire early warning information set of the target building, which includes an environmental sensor early warning information set, an equipment and facility early warning information set, and an image monitoring early warning information set. The multi-dimensional extraction unit is used to extract various environmental sensor early warning information and their associated location information from the environmental sensor early warning information set, extract various equipment and facility early warning information and their associated location information from the equipment and facility early warning information set, and extract various image monitoring early warning information and their associated location information from the image monitoring early warning information set. The area determination unit is used to determine the location of each environmental sensor warning information, each equipment and facility warning information and each image monitoring warning information based on the associated location information, and when a set number of environmental sensor warning information, equipment and facility warning information and image monitoring warning information are associated with the same area, the area is taken as the target area. The feature determination unit is used to determine the fire confidence level of the target area and the regional location information of the target area based on the quantity of environmental sensing early warning information, equipment and facility early warning information and image monitoring early warning information associated with the target area. The feature building unit is used to construct a fire feature set of the target area by utilizing the regional location information of the target area, the fire confidence level, and the environmental sensing early warning information, equipment and facility early warning information, and image monitoring early warning information associated with the target area. The strategy matching unit is used to substitute the fire feature set of the target area into the preset fire control plan map for matching to obtain the corresponding collaborative control strategy. The collaborative control strategy includes building system control information, personnel evacuation guidance information and external linkage alarm information. The information sending unit is used to send building system control information to the building fire protection system of the target building, send personnel evacuation guidance information to the duty personnel terminal of the target building, and send external linkage alarm information to the fire protection center platform.

9. A fire protection integrated safety collaborative control system, characterized in that, include: Memory, used to store instructions; The processor is configured to read instructions stored in the memory and execute the integrated fire protection and safety collaborative management method according to any one of claims 1-7.

10. A computer software product, characterized in that, When the computer software product is run on a computer, the fire protection integrated safety collaborative management and control method according to any one of claims 1-7 is executed.

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