Intelligent fire-fighting management system
By using the data collection, preprocessing, analysis, and remote control of the intelligent fire management system, the problems of insufficient on-duty personnel and weak information linkage in the fire monitoring system have been solved, enabling real-time monitoring and efficient management of fire equipment and improving the timeliness of fire prevention and rescue.
Patent Information
- Application Number
- CN202511169936.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-20
- Publication Date
- 2025-11-28
AI Technical Summary
The existing fire monitoring system suffers from insufficient staff on duty in the fire control room and weak information linkage, resulting in an inability to respond to fires in a timely manner. This creates loopholes in monitoring and management, affecting the timeliness of fire prevention and rescue.
The intelligent fire management system includes a data acquisition module, a data preprocessing module, a fire equipment management module, a data processing module, a data integration module, a data update and optimization module, and a remote control module. By collecting, preprocessing, analyzing, integrating, and remotely controlling fire data, it generates fire dispatch strategies, controls the activation of fire equipment, and improves the timeliness of the fire system.
It enables real-time monitoring and management of fire-fighting equipment, improves the timeliness of fire prevention and rescue, alleviates the pressure of insufficient personnel in the fire monitoring room, and ensures the safety and efficient operation of the fire protection system.
Smart Images
Figure CN121016124A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent fire protection technology, and in particular to an intelligent fire protection management system. Background Technology
[0002] A fire is an injury caused by uncontrolled combustion in time or space, which can cause great losses to people's safety and property. Therefore, fire safety is very necessary in order to reduce losses.
[0003] In the existing fire monitoring system, the fire control room suffers from problems such as insufficient staff capacity, non-standard duty logs, and weak linkage between information supervision and equipment information. As a result, fire departments are unable to keep abreast of the operation of fire protection facilities in buildings. This leads to loopholes in real-time monitoring and management linkage of fire monitoring, making it impossible for fire management departments to respond to disasters in a timely manner.
[0004] Therefore, remote monitoring and real-time information management of fire protection facilities within buildings, while alleviating pressure on duty rooms, improving the timeliness of fire prevention and rescue, and easing the pressure of insufficient personnel in fire monitoring rooms, has become an urgent problem to be solved. Summary of the Invention
[0005] In view of this, it is necessary to provide an intelligent fire management system to improve the timeliness of fire prevention and rescue.
[0006] To achieve the above objectives, in a first aspect, the present invention provides an intelligent fire protection management system, comprising: The data acquisition module is used to collect fire protection data from the target site. The data preprocessing module is used to preprocess fire protection data to obtain target data; The fire equipment management module is used to acquire fire equipment data for the target site. The data processing module is used to analyze target data and fire equipment data to obtain fire dispatch strategies; The remote control module is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment.
[0007] In one possible implementation, the fire data includes video data of the target site and sensor data, including temperature sensor data, smoke sensor data, and gas sensor data of the target site.
[0008] In one possible implementation, it also includes: a data integration module for integrating the fire data to obtain a fire resource database.
[0009] In one possible implementation, the data processing module is used to, A comprehensive analysis of the target data is conducted to obtain an analysis report; Conduct a risk assessment of the fire equipment data and obtain an assessment report; Based on the analysis report and the evaluation report, the Floyd-Warshall algorithm is used to generate fire dispatch strategies.
[0010] In one possible implementation, the data preprocessing module establishes a fire-fighting directed graph based on the target data and the fire-fighting equipment data; the fire-fighting directed graph is used to reflect the relationship between fire stations and traffic routes; wherein, the Floyd-Warshall algorithm is used to obtain the shortest path from the fire-fighting directed graph.
[0011] In one possible implementation, obtaining the shortest path from the fire-fighting directed graph includes: The shortest path matrix between every two vertices in the fire protection directed graph is calculated using the weight matrix of the fire protection directed graph. The shortest path is determined based on the shortest path matrix.
[0012] In one possible implementation, the expression for the shortest path matrix is:
[0013] In the formula, It represents from the vertex To the top ,and , , , ..., It is the shortest path length among all paths between these two intermediate points.
[0014] In one possible implementation, the fire dispatch strategy employs the BRP model for task scheduling and resource optimization.
[0015] In one possible implementation, the expression for the BRP model is:
[0016] In the formula, This indicates the travel time for the corresponding road segment. Indicates road segment ( , Traffic volume on ) Indicates road segment ( , The shortest travel time that allows for free movement on the road. Indicates road segment ( , The actual traffic capacity of the road is α, where α and β are function parameters, with α being 0.15 and β being 4. In one possible implementation, an update and optimization module is also included, which is communicatively connected to the data processing module. This module is used to periodically filter and extract the target data and the fire equipment data, and to update and optimize the fire dispatch strategy using the extracted data.
[0017] The beneficial effects of the present invention are: the data acquisition module provided by the present invention is used to collect fire protection data of the target site; The data preprocessing module is used to preprocess fire protection data to obtain target data; The fire equipment management module is used to acquire fire equipment data for the target site. The data processing module is used to analyze target data and fire equipment data to obtain fire dispatch strategies; The remote control module is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment.
[0018] The beneficial effects of this invention are as follows: This invention provides an intelligent fire protection management system, including a data acquisition module, a fire equipment management module, and a remote control module. The data acquisition module is used to collect fire protection data from the target site. The data preprocessing module is used to preprocess the fire protection data to obtain target data, thereby filtering out useless data. The fire equipment management module is used to acquire fire equipment data from the target site. The data processing module is used to analyze the target data and fire equipment data to obtain a fire dispatch strategy. The fire protection data and fire equipment data are combined to generate a fire dispatch strategy. The remote control module is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment. This invention can quickly detect and monitor abnormal fire equipment based on fire protection data, ensuring safety while improving the timeliness of the fire protection system. Attached Figure Description
[0019] Figure 1 This is a system architecture diagram of an embodiment of an intelligent fire management system provided by the present invention. Detailed Implementation
[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0021] In the description of the embodiments of the present invention, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.
[0022] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.
[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0024] Before demonstrating the embodiments, the following terms will be explained.
[0025] The Floyd-Warshall algorithm is an algorithm that uses dynamic programming to find the shortest path between multiple source points in a given weighted graph.
[0026] A directed graph (Digraph) is an important structure in graph theory. It consists of a set of vertices and a set of directed edges, and is used to represent unidirectional relationships between vertices. It is widely used in tasks, path planning, network analysis and other fields.
[0027] Figure 1 A system framework diagram of an embodiment of the intelligent fire management system provided by the present invention is shown below. Figure 1 As shown, the intelligent fire management system 100 includes: Data acquisition module 101 is used to collect fire protection data of the target site; Data preprocessing module 102 is used to preprocess fire protection data to obtain target data; Fire equipment management module 103 is used to acquire fire equipment data of the target site; Data processing module 104 is used to analyze target data and fire equipment data to obtain fire dispatch strategies; The remote control module 105 is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment.
[0028] Compared with existing technologies, this embodiment provides a smart fire management system, including a data acquisition module, a fire equipment management module, and a remote control module. The data acquisition module is used to collect fire data from the target site. The data preprocessing module is used to preprocess the fire data to obtain target data, thereby filtering out useless data. The fire equipment management module is used to acquire fire equipment data from the target site. The data processing module is used to analyze the target data and fire equipment data to obtain a fire dispatch strategy. The fire data and fire equipment data are combined to generate a fire dispatch strategy. The remote control module is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment. This invention can quickly detect abnormal fire equipment and monitor it based on fire data, ensuring safety while improving the timeliness of the fire protection system.
[0029] In some embodiments of the present invention, the fire protection data includes video data of the target site and sensor data, wherein the sensor data includes temperature sensor data, smoke sensor data and gas sensor data of the target site.
[0030] In a specific embodiment of the present invention, the video data includes video data of fire water sources, fire hydrants, fire extinguishers, and evacuation routes.
[0031] In some embodiments of the present invention, a data integration module is further included, which integrates the fire protection data to obtain a fire protection resource database as historical data.
[0032] In some embodiments of the present invention, the data processing module 104 is used for, A comprehensive analysis of the target data is conducted to obtain an analysis report; Conduct a risk assessment of the fire equipment data and obtain an assessment report; Based on the analysis report and the evaluation report, the Floyd-Warshall algorithm is used to generate fire dispatch strategies.
[0033] In some embodiments of the present invention, the data processing module 104 establishes a fire-fighting directed graph based on the target data and the fire-fighting equipment data; the fire-fighting directed graph is used to reflect the relationship between fire stations and traffic routes; wherein, the Floyd-Warshall algorithm is used to obtain the shortest path from the fire-fighting directed graph.
[0034] Specifically, the directed graph of fire stations can reflect the relationship between fire stations and transportation hubs. The Floyd-Warshall algorithm can find the shortest path in the directed graph of fire stations and can also perform dynamic programming, thereby improving the efficiency and timeliness of fire rescue. In some embodiments of the present invention, obtaining the shortest path from the fire-fighting directed graph includes: The shortest path matrix between every two vertices in the fire protection directed graph is calculated using the weight matrix of the fire protection directed graph. The shortest path is determined based on the shortest path matrix.
[0035] In some embodiments of the present invention, the expression for the shortest path matrix is:
[0036] In the formula, It represents from the vertex To the top ,and , , , ..., It is the shortest path length among all paths between these two intermediate points.
[0037] In some embodiments of the present invention, the BRP model is used for task scheduling and resource optimization in the fire dispatch strategy.
[0038] In some embodiments of the present invention, the expression of the BRP model is:
[0039] In the formula, This indicates the travel time for the corresponding road segment. Indicates road segment ( , Traffic volume on ) Indicates road segment ( , The shortest travel time that allows for free movement on the road. Indicates road segment ( , The actual traffic capacity of the road is α, where α and β are function parameters, with α being 0.15 and β being 4. Specifically, in applying the Floyd-Warshall algorithm to practice, d(i,j) represents the edge ( , The weight of d(i,j) is actually the value of the road segment impedance; d(i,j) is affected by many factors, such as the length of the path, the width of the path, the smoothness of the road surface, the grade of the road surface, and the traffic flow of the road surface. Therefore, this application uses the BRP model for processing in the actual application process, so as to better organize and manage the business process of the fire protection system and ensure the smooth progress of fire rescue operations.
[0040] By applying scheduling algorithms to fire information management, comprehensive management and decision-making can be carried out on fire risk, fire equipment, and personnel scheduling. By using scheduling algorithms for task scheduling and resource allocation, fire system resources can be used rationally and efficiently to achieve optimal task processing and improve the efficiency and responsiveness of fire protection work.
[0041] In some embodiments of the present invention, an update and optimization module communicatively connected to the data processing module is also included, which is used to periodically filter and extract the target data and the fire equipment data, and to update and optimize the fire dispatch strategy using the extracted data.
[0042] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.
[0043] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.
Claims
1. A smart fire protection management system, characterized in that, include: The data acquisition module is used to collect fire protection data from the target site. The data preprocessing module is used to preprocess fire protection data to obtain target data; The fire equipment management module is used to acquire fire equipment data for the target site. The data processing module is used to analyze target data and fire equipment data to obtain fire dispatch strategies; The remote control module is used to send alarm information to the user terminal based on the fire dispatch strategy and control the activation of fire equipment.
2. The intelligent fire management system according to claim 1, characterized in that, The fire protection data includes video data and sensor data of the target site, including temperature sensor data, smoke sensor data, and gas sensor data of the target site.
3. The intelligent fire management system according to claim 1, characterized in that, Also includes: The data integration module is used to integrate the fire protection data to obtain a fire protection resource database.
4. The intelligent fire management system according to claim 1, characterized in that, The data processing module is used for, A comprehensive analysis of the target data is conducted to obtain an analysis report; Conduct a risk assessment of the fire equipment data and obtain an assessment report; Based on the analysis report and the evaluation report, the Floyd-Warshall algorithm is used to generate fire dispatch strategies.
5. The intelligent fire management system according to claim 4, characterized in that, The data preprocessing module establishes a fire-fighting directed graph based on the target data and the fire-fighting equipment data; the fire-fighting directed graph is used to reflect the relationship between fire stations and traffic routes; wherein, the Floyd-Warshall algorithm is used to obtain the shortest path from the fire-fighting directed graph.
6. The intelligent fire management system according to claim 1, characterized in that, Obtaining the shortest path from the fire-fighting directed graph includes: The shortest path matrix between every two vertices in the fire protection directed graph is calculated using the weight matrix of the fire protection directed graph. The shortest path is determined based on the shortest path matrix.
7. The intelligent fire management system according to claim 6, characterized in that, The expression for the shortest path matrix is: In the formula, It represents from the vertex To the top ,and , , , ..., It is the shortest path length among all paths between these two intermediate points.
8. The intelligent fire management system according to claim 7, characterized in that, In the fire dispatch strategy, the BRP model is used for task scheduling and resource optimization.
9. The intelligent fire management system according to claim 8, characterized in that, The expression for the BRP model is: In the formula, This indicates the travel time for the corresponding road segment. Indicates road segment ( , Traffic volume on ) Indicates road segment ( , The shortest travel time that allows for free movement on the road. Indicates road segment ( , The actual traffic capacity of the road is α, where α and β are function parameters, with α being 0.15 and β being 4.
10. The intelligent fire management system according to claim 1, characterized in that, It also includes an update and optimization module that is communicatively connected to the data processing module. This module is used to periodically filter and extract the target data and the fire equipment data, and to update and optimize the fire dispatch strategy using the extracted data.