Fire-fighting management system and method based on fire-fighting box

Abstract

The invention relates to the technical field of fire protection, in particular to a fire protection management system and method based on a fire protection box, and the system comprises a fire detection module, an edge calculation module, a communication module, a fire protection background module, a positioning module, an emergency lighting module and a remote monitoring module. The fire-fighting background module can monitor in real time and transmit abnormal data to the fire-fighting background module, the edge computing module is integrated nearby the fire-fighting background module and can process local data and trigger emergency response in the communication interruption or extreme environment, the communication module supports multiple modes, a Mesh ad hoc network is used for ensuring stable transmission in a fire disaster, and the fire-fighting background module receives and processes the data, generates a scheme and transmits the scheme. The positioning module accurately positions fire points and personnel and transmits data to a background optimization scheme, the emergency lighting module adjusts lighting according to instructions and provides lighting support, the remote monitoring module monitors the system in real time, remote management is achieved, and the problem that an existing fire fighting system is low in intelligent level is solved.

Description

Technical Field

[0001] This invention relates to the field of fire protection technology, and in particular to a fire management system and method based on a fire box. Background Technology

[0002] Existing fire protection systems mainly include traditional fire hydrants, fire extinguishers, and fire alarm systems. These systems have played an important role in fire prevention and response, but with the acceleration of urbanization and the increase in building complexity, some shortcomings of existing fire protection systems have gradually been exposed.

[0003] Traditional fire hydrants require the support of fire towers and fire hoses, resulting in a narrow coverage area and difficulty in achieving comprehensive coverage. During a fire, trapped individuals cannot visually determine the location of the fire or the condition of safe passages, leading to delayed evacuation decisions and increasing the risk of injury. Furthermore, existing fire protection systems have a slow response time in the early stages of a fire, making it difficult to quickly extinguish initial fire sources and allowing the fire to spread. While some concepts or products of "smart fire hydrants" or "smart fire cabinets" exist, they typically only integrate sensors and communication functions for status monitoring, lacking deep inter-module collaboration and intelligent decision-making capabilities. Summary of the Invention

[0004] The purpose of this invention is to provide a fire management system and method based on fire boxes, which aims to solve the problem of low intelligence level in existing fire protection systems.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a fire management system based on a fire box, comprising a fire detection module, an edge computing module, a communication module, a fire control panel module, a positioning module, an emergency lighting module, and a remote monitoring module. The fire detection module, the edge computing module, the communication module, the fire control panel module, and the positioning module are connected in sequence. The emergency lighting module is connected to the edge computing module, and the remote monitoring module is connected to the fire control panel module.

[0006] The fire detection module is used to monitor fire information in real time and send it to the fire protection backend module;

[0007] The edge computing module is used to automatically trigger emergency response rules based on local sensor data and control the dynamic adjustment of the emergency lighting module in the event of communication interruption or extreme environment.

[0008] The communication module is used to realize information transmission between the fire box and the fire control backend module;

[0009] The fire protection backend module is used to receive and process information sent by the fire detection module and generate fire extinguishing and evacuation plans.

[0010] The positioning module is used to locate the fire ignition point and the location of personnel;

[0011] The emergency lighting module is used to provide emergency lighting in the event of a fire;

[0012] The remote monitoring module is used to realize remote monitoring and management of the fire protection system.

[0013] The fire detection module includes a sensor unit and a data preprocessing unit.

[0014] The sensor unit is used to collect real-time information on smoke concentration, temperature changes, and flames at the fire scene.

[0015] The data preprocessing unit is used to filter, denoise, and perform preliminary analysis on the raw data collected by the sensor.

[0016] The edge computing module includes a data processing unit, a decision execution unit, and a communication and coordination unit.

[0017] The data processing unit is used to quickly process and analyze the local data collected by the fire detection module to determine the severity and development trend of the fire.

[0018] The decision execution unit is used to automatically execute corresponding decisions based on the analysis results of the data processing unit and in accordance with preset emergency response rules.

[0019] The communication and collaboration unit is used to communicate and collaborate with the fire protection backend module and other edge computing modules of the fire protection box, sharing data and decision information.

[0020] The communication module includes a WIFI communication unit, a 4G / 5G communication unit, and a Mesh self-organizing network communication unit.

[0021] The WIFI communication unit is used to transmit the data collected by the fire detection module to the fire protection backend module in an environment with WIFI network coverage, and at the same time receive instructions and information from the backend system.

[0022] The 4G / 5G communication unit is used to achieve long-distance data transmission through the mobile communication network in areas where WIFI network is unavailable or the signal is weak.

[0023] The Mesh self-organizing network communication unit adopts an anti-interference communication protocol to quickly establish a communication network in the event of a fire, enabling data transmission and collaborative work between fire boxes.

[0024] The fire protection backend module includes a data receiving unit, a data analysis unit, a decision-making unit, and a scheme generation unit.

[0025] The data receiving unit is used to receive data from the fire detection module and the positioning module, and to perform preliminary formatting and organization of the data;

[0026] The data analysis unit uses models and big data analysis technology to perform in-depth mining and fusion analysis of fire data, extracting fire characteristic information, development trends and potential risks.

[0027] The decision-making unit makes corresponding decisions based on the analysis results and in conjunction with preset fire handling rules and strategies.

[0028] The scheme generation unit generates specific fire extinguishing and evacuation schemes based on the decision results.

[0029] The positioning module includes a GPS positioning unit, a BeiDou positioning unit, and an indoor positioning unit.

[0030] The GPS positioning unit is used to provide high-precision positioning information for fire extinguisher boxes and related personnel in outdoor environments;

[0031] The Beidou positioning unit is used to ensure the continuity and accuracy of positioning when GPS signals are interfered with or blocked.

[0032] The indoor positioning unit is used to achieve high-precision positioning in complex indoor environments by employing UWB, Bluetooth beacon, and inertial navigation technologies.

[0033] Secondly, a fire management method based on a fire extinguisher box, used in the fire management system based on a fire extinguisher box described in the first aspect, includes the following steps:

[0034] The fire detection module monitors fire information in real time, collects smoke, temperature and flame data, and forms preliminary monitoring data after preprocessing.

[0035] The edge computing module receives monitoring data, quickly analyzes and judges the fire situation; when communication is normal, it sends the data to the fire protection backend module; when communication is interrupted, it directly controls the emergency lighting module to carry out a preliminary emergency response.

[0036] The communication module selects an appropriate method to transmit monitoring data and preliminary processing results to the fire protection backend module;

[0037] The fire control backend module receives and processes data, uses models to analyze fire conditions, and generates fire extinguishing and evacuation plans.

[0038] The positioning module accurately locates the fire point and personnel positions, and transmits the data to the fire control backend module to optimize the evacuation plan;

[0039] The fire control module transmits the evacuation plan to the emergency lighting module, dynamically adjusting the lighting mode to assist personnel evacuation;

[0040] The remote monitoring module collects system operation status data in real time, and the monitoring terminal displays the system status and remotely issues control commands.

[0041] The edge computing module dynamically adjusts local decisions, and the fire protection backend module optimizes the solution.

[0042] This invention discloses a fire management system based on a fire box. The fire detection module is equipped with multiple sensors, including smoke, temperature, and flame sensors, enabling real-time monitoring of fire information. Upon detecting an anomaly, the fire detection module immediately transmits the data to the fire control backend module. An edge computing module, integrated near the fire detection module, processes local data in the event of communication interruptions or extreme environments. It can quickly analyze the data collected by the fire detection module and automatically trigger emergency response rules when necessary. For example, when the communication module cannot communicate with the fire control backend module, the edge computing module can directly control the emergency lighting module to adjust the lighting mode to guide personnel evacuation. The communication module supports multiple communication methods, including Wi-Fi, 4G / 5G, and Mesh self-organizing network. It is responsible for transmitting data collected by the fire detection module to the fire control backend module and receiving instructions from the fire control backend module. During a fire, the communication module ensures the stability and reliability of data transmission through Mesh self-organizing network technology. The fire control backend module is responsible for receiving and processing the data sent by the fire detection module. It generates fire extinguishing and evacuation plans through modeling and big data analysis technology and transmits these plans to the emergency lighting module and other fire-fighting equipment. The positioning module is used to accurately locate the fire origin and personnel positions. It combines GPS, BeiDou, and indoor positioning technologies to ensure high-precision positioning information even in complex environments. Positioning data is transmitted in real-time to the fire control backend module for optimizing firefighting and evacuation plans. The emergency lighting module dynamically adjusts the lighting mode according to instructions from the fire control backend module or edge computing module, forming a clear escape guidance light strip. In the event of a fire, the emergency lighting module can be quickly activated, providing necessary lighting support for personnel evacuation. The remote monitoring module is installed to monitor the real-time operating status of the fire protection system. It receives data sent by the fire control backend module via the network and displays the system's operating status. Remote monitoring personnel can issue control commands through this module to achieve remote management and dynamic adjustment of the fire protection system. This solves the problem of low intelligence levels in existing fire protection systems. Attached Figure Description

[0043] 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.

[0044] Figure 1 This is a schematic diagram of a fire management system based on a fire box provided by the present invention.

[0045] Figure 2 This is a schematic diagram of a fire detection module.

[0046] Figure 3 This is a schematic diagram of the edge computing module.

[0047] Figure 4 This is a schematic diagram of the communication module.

[0048] Figure 5 This is a schematic diagram of the fire control panel module.

[0049] Figure 6 This is a schematic diagram of the positioning module.

[0050] Figure 7 This is a schematic diagram of an emergency lighting module.

[0051] Figure 8 This is a schematic diagram of the remote monitoring module.

[0052] Figure 9 This is a flowchart of a fire management method based on a fire box provided by the present invention.

[0053] In the diagram: 1-Fire detection module, 2-Edge computing module, 3-Communication module, 4-Fire control panel module, 5-Positioning module, 6-Emergency lighting module, 7-Remote monitoring module, 11-Sensor unit, 12-Data preprocessing unit, 21-Data processing unit, 22-Decision execution unit, 23-Communication collaboration unit, 31-WIFI communication unit, 32-4G / 5G communication unit, 33-Mesh self-organizing network communication unit, 41-Data receiving unit, 42-Data analysis unit, 43-Decision unit, 44-Solution generation unit, 51-GPS positioning unit, 52-BeiDou positioning unit, 53-Indoor positioning unit, 61-LED lighting unit, 62-Lighting control unit, 63-Dynamic adjustment unit, 71-Data acquisition unit, 72-Data transmission unit, 73-Monitoring terminal unit. Detailed Implementation

[0054] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0055] Please see Figures 1 to 8 In a first aspect, the present invention provides a fire management system based on a fire box, comprising a fire detection module 1, an edge computing module 2, a communication module 3, a fire control backend module 4, a positioning module 5, an emergency lighting module 6, and a remote monitoring module 7. The fire detection module 1, the edge computing module 2, the communication module 3, the fire control backend module 4, and the positioning module 5 are connected in sequence. The emergency lighting module 6 is connected to the edge computing module 2, and the remote monitoring module 7 is connected to the fire control backend module 4.

[0056] The fire detection module 1 is used to monitor fire information in real time and send it to the fire protection backend module 4;

[0057] The edge computing module 2 is used to automatically trigger emergency response rules based on local sensor data in the event of communication interruption or extreme environment, and to control the dynamic adjustment of the emergency lighting module 6.

[0058] The communication module 3 is used to realize information transmission between the fire box and the fire control back-end module 4;

[0059] The fire protection backend module 4 is used to receive and process the information sent by the fire detection module 1 and generate fire extinguishing and evacuation plans.

[0060] The positioning module 5 is used to locate the fire ignition point and the location of personnel;

[0061] The emergency lighting module 6 is used to provide emergency lighting in the event of a fire;

[0062] The remote monitoring module 7 is used to realize remote monitoring and management of the fire protection system.

[0063] In this embodiment, the fire detection module 1 is equipped with multiple sensors, including smoke sensors, temperature sensors, and flame sensors, enabling real-time monitoring of fire information. Upon detecting an anomaly, the fire detection module 1 immediately sends the data to the fire control backend module 4. The edge computing module 2 is integrated near the fire detection module 1 to process local data in the event of communication interruption or extreme environments. It can quickly analyze the data collected by the fire detection module 1 and automatically trigger emergency response rules when necessary. For example, when the communication module 3 cannot communicate with the fire control backend module 4, the edge computing module 2 can directly control the emergency lighting module 6 to adjust the lighting mode to guide personnel evacuation. The communication module 3 supports multiple communication methods, including WIFI, 4G / 5G, and Mesh self-organizing network. It is responsible for transmitting the data collected by the fire detection module 1 to the fire control backend module 4 and receiving instructions from the fire control backend module 4. During a fire, the communication module 3 ensures the stability and reliability of data transmission through Mesh self-organizing network technology. The fire control backend module 4 is responsible for receiving and processing the data sent by the fire detection module 1. It generates fire extinguishing and evacuation plans through modeling and big data analysis technology and transmits these plans to the emergency lighting module 6 and other fire-fighting equipment. The positioning module 5 is used to accurately locate the fire origin and personnel positions. It combines GPS, BeiDou, and indoor positioning technologies to ensure high-precision positioning information even in complex environments. Positioning data is transmitted in real-time to the fire control backend module 4 for optimizing firefighting and evacuation plans. The emergency lighting module 6 dynamically adjusts the lighting mode according to instructions from the fire control backend module 4 or the edge computing module 2, forming a clear escape guidance light strip. In the event of a fire, the emergency lighting module 6 can be quickly activated, providing necessary lighting support for personnel evacuation. The remote monitoring module 7 is installed to monitor the real-time operation status of the fire protection system. It receives data sent by the fire control backend module 4 via the network and displays the system's operating status. Remote monitoring personnel can issue control commands through this module to achieve remote management and dynamic adjustment of the fire protection system. This solves the problem of low intelligence levels in existing fire protection systems.

[0064] Furthermore, the fire detection module 1 includes a sensor unit 11 and a data preprocessing unit 12;

[0065] The sensor unit 11 is used to collect smoke concentration, temperature changes and flame information at the fire scene in real time;

[0066] The data preprocessing unit 12 is used to filter, denoise, and perform preliminary analysis on the raw data collected by the sensor.

[0067] In this embodiment, the fire detection module 1 is installed in key locations of the building, such as corridors, stairwells, and areas with important equipment. The sensor unit 11 collects smoke concentration, temperature changes, and flame information at the fire scene in real time. The data preprocessing unit 12 filters, denoises, and performs preliminary analysis on the collected raw data, extracting key feature information to form preliminary fire monitoring data.

[0068] Furthermore, the edge computing module 2 includes a data processing unit 21, a decision execution unit 22, and a communication and coordination unit 23;

[0069] The data processing unit 21 is used to quickly process and analyze the local data collected by the fire detection module 1 to determine the severity and development trend of the fire.

[0070] The decision execution unit 22 is used to automatically execute corresponding decisions based on the analysis results of the data processing unit 21 and in accordance with preset emergency response rules.

[0071] The communication and collaboration unit 23 is used to communicate and collaborate with the fire protection backend module 4 and other fire protection box edge computing modules 2 to share data and decision information.

[0072] In this embodiment, the edge computing module 2 is integrated near the fire detection module 1. The data processing unit 21 rapidly processes and analyzes the collected local data to determine the severity and development trend of the fire. Based on the analysis results, the decision execution unit 22 automatically executes corresponding decisions according to preset emergency response rules, such as controlling the dynamic adjustment of the emergency lighting module 6. The communication and coordination unit 23 communicates and collaborates with the fire control backend module 4 and other edge computing modules 2 in the fire protection boxes, sharing data and decision information.

[0073] Furthermore, the communication module 3 includes a WIFI communication unit 31, a 4G / 5G communication unit 32, and a Mesh self-organizing network communication unit 33;

[0074] The WIFI communication unit 31 is used to transmit the data collected by the fire detection module 1 to the fire protection backend module 4 in an environment with WIFI network coverage, and at the same time receive instructions and information from the backend system.

[0075] The 4G / 5G communication unit 32 is used to achieve long-distance data transmission through the mobile communication network in areas where WIFI network is unavailable or the signal is weak.

[0076] The Mesh self-organizing network communication unit 33 adopts an anti-interference communication protocol to quickly establish a communication network in the event of a fire, enabling data transmission and collaborative work between fire boxes.

[0077] In this embodiment, the communication module 3 supports multiple communication methods, including WIFI, 4G / 5G, and Mesh self-organizing network. The WIFI communication unit 31 transmits data collected by the fire detection module 1 to the fire control backend module 4 in environments with WIFI network coverage, while simultaneously receiving instructions and information from the backend system. The 4G / 5G communication unit 32 enables long-distance data transmission via mobile communication networks in areas where WIFI is unavailable or has weak signals. The Mesh self-organizing network communication unit 33 employs an anti-interference communication protocol to quickly establish a communication network during a fire, enabling data transmission and collaborative operation between fire boxes.

[0078] Furthermore, the fire protection backend module 4 includes a data receiving unit 41, a data analysis unit 42, a decision-making unit 43, and a scheme generation unit 44;

[0079] The data receiving unit 41 is used to receive data from the fire detection module 1 and the positioning module 5, and to perform preliminary formatting and organization of the data.

[0080] The data analysis unit 42 uses models and big data analysis technology to perform in-depth mining and fusion analysis of fire data, and extracts fire characteristic information, development trends and potential risks.

[0081] The decision-making unit 43 makes corresponding decisions based on the analysis results and in conjunction with preset fire handling rules and strategies.

[0082] The scheme generation unit 44 generates specific fire extinguishing and evacuation schemes based on the decision results.

[0083] In this embodiment, the fire control backend module 4 is installed in the fire control center. The data receiving unit 41 receives data from the fire detection module 1 and the positioning module 5, and performs preliminary formatting and organization of the data. The data analysis unit 42 applies AI models and big data analysis technology to perform in-depth mining and fusion analysis of the fire data, extracting fire characteristic information, development trends, and potential risks. The decision-making unit 43 makes corresponding decisions based on the analysis results and in conjunction with preset fire handling rules and strategies. The plan generation unit 44 generates specific fire extinguishing and evacuation plans based on the decision results.

[0084] Furthermore, the positioning module 5 includes a GPS positioning unit 51, a Beidou positioning unit 52, and an indoor positioning unit 53;

[0085] The GPS positioning unit 51 is used to provide high-precision positioning information for fire boxes and related personnel in outdoor environments;

[0086] The Beidou positioning unit 52 is used to ensure the continuity and accuracy of positioning when GPS signals are interfered with or blocked.

[0087] The indoor positioning unit 53 is used to achieve high-precision positioning in complex indoor environments by employing UWB, Bluetooth beacon, and inertial navigation technologies.

[0088] In this embodiment, the positioning module 5 is installed inside the building, and the GPS positioning unit 51 provides high-precision positioning information for fire extinguisher boxes and relevant personnel in outdoor environments. The Beidou positioning unit 52 ensures the continuity and accuracy of positioning when GPS signals are interfered with or blocked. The indoor positioning unit 53 uses UWB, Bluetooth beacons, and inertial navigation technology to achieve high-precision positioning in complex indoor environments.

[0089] Furthermore, the emergency lighting module 6 includes an LED lighting unit 61, a lighting control unit 62, and a dynamic adjustment unit 63;

[0090] The LED lighting unit 61 is used to provide basic emergency lighting in the event of a fire;

[0091] The lighting control unit 62 controls the switching, brightness, and flashing frequency of the LED lighting unit 61 according to the fire situation and the location of personnel, thereby realizing intelligent management of lighting;

[0092] The dynamic adjustment unit 63 is used to dynamically adjust the lighting direction and brightness gradient in combination with the evacuation plan generated by the fire protection backend module 4 and the personnel location information provided by the positioning module 5, so as to form an effective escape guidance light strip.

[0093] In this embodiment, the emergency lighting module 6 is installed in key locations such as corridors, stairwells, and exits. The LED lighting unit 61 provides basic emergency lighting during a fire. The lighting control unit 62 controls the switching, brightness, and flashing frequency of the LED lighting unit 61 based on the fire situation and personnel locations, achieving intelligent lighting management. The dynamic adjustment unit 63, combining the evacuation plan generated by the fire control module 4 and the personnel location information provided by the positioning module 5, dynamically adjusts the lighting direction and brightness gradient to form an effective escape guidance light strip.

[0094] Furthermore, the remote monitoring module 7 includes a data acquisition unit 71, a data transmission unit 72, and a monitoring terminal unit 73;

[0095] The data acquisition unit 71 is used to collect the operating status data of the fire protection system;

[0096] The data transmission unit 72 transmits the collected data to the monitoring terminal unit 73 via a network;

[0097] The monitoring terminal unit 73 is used to display the operating status of the fire protection system in real time, receive alarm information, issue control commands, and realize remote monitoring and management of the fire protection system.

[0098] In this embodiment, the remote monitoring module 7 is installed in the fire control center or remote monitoring center, and the data acquisition unit 71 collects the operating status data of the fire protection system in real time. The data transmission unit 72 transmits the collected data to the monitoring terminal unit 73 via the network. The monitoring terminal unit 73 displays the operating status of the fire protection system in real time, receives alarm information, issues control commands, and realizes remote monitoring and management of the fire protection system.

[0099] Please see Figure 9 Secondly, a fire management method based on a fire extinguisher box, used in the fire management system based on a fire extinguisher box described in the first aspect, includes the following steps:

[0100] S1 fire detection module 1 monitors fire information in real time, collects smoke, temperature and flame data, and forms preliminary monitoring data after preprocessing.

[0101] Specifically, the fire detection module 1 is installed in key locations within the building, such as corridors, stairwells, and equipment rooms. The sensor unit 11 collects real-time data on smoke concentration, temperature changes, and flame information at the fire scene. The data preprocessing unit 12 filters, denoises, and performs preliminary analysis on the collected raw data, extracting key feature information to form preliminary fire monitoring data. The sensor data is processed using a Kalman filter algorithm to remove noise and improve data accuracy.

[0102] The S2 edge computing module 2 receives monitoring data, quickly analyzes and assesses the fire situation. When communication is normal, it sends data to the fire control backend module 4; when communication is interrupted, it directly controls the emergency lighting module 6 to initiate a preliminary emergency response.

[0103] Specifically, edge computing module 2 is integrated near fire detection module 1. Data processing unit 21 rapidly processes and analyzes the received monitoring data to determine the severity and development trend of the fire. Communication coordination unit 23 detects the communication status. If communication is normal, it sends the processed data to fire control backend module 4 via communication module 3. If communication is interrupted, decision execution unit 22 directly controls emergency lighting module 6 to perform preliminary emergency response according to preset emergency response rules, such as adjusting the lighting mode to guide personnel evacuation.

[0104] S3 communication module 3 selects an appropriate method to transmit monitoring data and preliminary processing results to fire protection back-end module 4;

[0105] Specifically, communication module 3 selects an appropriate communication method (WIFI, 4G / 5G, or Mesh self-organizing network) based on the current environment and network conditions. WIFI communication unit 31 transmits monitoring data to the fire control backend module 4 in environments with WIFI network coverage; 4G / 5G communication unit 32 transmits data over long distances via mobile communication networks in areas where WIFI is unavailable or has weak signals; Mesh self-organizing network communication unit 33 employs an anti-interference communication protocol to quickly establish a communication network during a fire, ensuring the stability and reliability of data transmission.

[0106] S4 Fire Protection Backend Module 4 receives and processes data, uses models to analyze fire situations, and generates fire extinguishing and evacuation plans.

[0107] Specifically, the fire control backend module 4 is installed in the fire control center, and the data receiving unit 41 formats and organizes the received data. The data analysis unit 42 uses AI models and big data analysis technology to deeply mine and integrate the fire data, extracting fire characteristic information, development trends, and potential risks. The decision-making unit 43 makes corresponding decisions based on the analysis results and in conjunction with preset fire handling rules and strategies. The plan generation unit 44 generates specific fire extinguishing and evacuation plans based on the decision results, including the activation sequence of fire extinguishing equipment and the planning of evacuation routes.

[0108] The S5 positioning module 5 accurately locates the fire point and personnel location, and transmits the data to the fire control backend module 4 to optimize the evacuation plan;

[0109] Specifically, the positioning module 5 is installed inside the building. The GPS positioning unit 51 provides high-precision positioning information for fire extinguishers and relevant personnel in outdoor environments. The Beidou positioning unit 52 ensures the continuity and accuracy of positioning even when GPS signals are interfered with or blocked. The indoor positioning unit 53 uses UWB, Bluetooth beacons, and inertial navigation technology to achieve high-precision positioning in complex indoor environments. The positioning data is transmitted to the fire control backend module 4 in real time. Based on the positioning data and building layout, the fire control backend module 4 optimizes fire extinguishing and evacuation plans to ensure their feasibility and effectiveness.

[0110] The S6 fire control module 4 transmits the evacuation plan to the emergency lighting module 6, dynamically adjusting the lighting mode to assist personnel evacuation;

[0111] Specifically, the fire control module 4 transmits the optimized evacuation plan to the dynamic adjustment unit 63 of the emergency lighting module 6. Based on the plan and personnel location information, the dynamic adjustment unit 63 controls the LED lighting unit 61 to adjust the lighting direction and brightness gradient, creating a clear escape guidance light strip. The lighting direction is adjusted according to the evacuation route, increasing the brightness of critical paths to assist personnel in a rapid and safe evacuation.

[0112] The S7 remote monitoring module 7 collects system operation status data in real time, and the monitoring terminal unit 73 displays the system status and remotely issues control commands.

[0113] Specifically, the remote monitoring module 7 is installed in the fire control center or remote monitoring center. The data acquisition unit 71 collects real-time operational status data of the fire protection system, including the working status of the fire detection module 1, communication module 3, and fire protection equipment. The data transmission unit 72 transmits the collected data to the monitoring terminal unit 73 via the network, and the monitoring terminal unit 73 displays the real-time operational status of the fire protection system. Based on the monitoring information, remote monitoring personnel issue control commands to the fire protection backend module 4 through the monitoring terminal unit 73, realizing remote monitoring and dynamic management of the fire protection system.

[0114] S8 edge computing module 2 dynamically adjusts local decisions, and fire protection backend module 4 optimizes the solution.

[0115] Specifically, edge computing module 2 continuously receives real-time data from fire detection module 1 and location information from positioning module 5, dynamically adjusting local decisions and optimizing emergency response measures. For example, it adjusts the lighting mode of emergency lighting module 6 or triggers other local emergency equipment based on real-time data. Fire control backend module 4 further optimizes firefighting and evacuation plans based on real-time feedback data, ensuring the efficiency and adaptability of fire management. It adjusts the activation sequence of firefighting equipment or evacuation routes according to the development of the fire.

[0116] The above description is merely a preferred embodiment of a fire management system and method based on a fire box according to the present invention. It should not be construed as limiting the scope of the present invention. Those skilled in the art can understand that all or part of the processes of the above embodiments can be implemented, and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A fire management system based on a fire box, characterized in that, It includes a fire detection module, an edge computing module, a communication module, a fire control backend module, a positioning module, an emergency lighting module, and a remote monitoring module. The fire detection module, the edge computing module, the communication module, the fire control backend module, and the positioning module are connected in sequence. The emergency lighting module is connected to the edge computing module, and the remote monitoring module is connected to the fire control backend module. The fire detection module is used to monitor fire information in real time and send it to the fire protection backend module; The edge computing module is used to automatically trigger emergency response rules based on local sensor data and control the dynamic adjustment of the emergency lighting module in the event of communication interruption or extreme environment. The communication module is used to realize information transmission between the fire box and the fire control backend module; The fire protection backend module is used to receive and process information sent by the fire detection module and generate fire extinguishing and evacuation plans. The positioning module is used to locate the fire ignition point and the location of personnel; The emergency lighting module is used to provide emergency lighting in the event of a fire; The remote monitoring module is used to realize remote monitoring and management of the fire protection system.

2. The fire management system based on a fire box as described in claim 1, characterized in that, The fire detection module includes a sensor unit and a data preprocessing unit; The sensor unit is used to collect real-time information on smoke concentration, temperature changes, and flames at the fire scene. The data preprocessing unit is used to filter, denoise, and perform preliminary analysis on the raw data collected by the sensor.

3. The fire management system based on a fire box as described in claim 1, characterized in that, The edge computing module includes a data processing unit, a decision execution unit, and a communication and coordination unit; The data processing unit is used to quickly process and analyze the local data collected by the fire detection module to determine the severity and development trend of the fire. The decision execution unit is used to automatically execute corresponding decisions based on the analysis results of the data processing unit and in accordance with preset emergency response rules. The communication and collaboration unit is used to communicate and collaborate with the fire protection backend module and other edge computing modules of the fire protection box, sharing data and decision information.

4. The fire management system based on a fire box as described in claim 1, characterized in that, The communication module includes a WIFI communication unit, a 4G / 5G communication unit, and a Mesh self-organizing network communication unit. The WIFI communication unit is used to transmit the data collected by the fire detection module to the fire protection backend module in an environment with WIFI network coverage, and at the same time receive instructions and information from the backend system. The 4G / 5G communication unit is used to achieve long-distance data transmission through the mobile communication network in areas where WIFI network is unavailable or the signal is weak. The Mesh self-organizing network communication unit adopts an anti-interference communication protocol to quickly establish a communication network in the event of a fire, enabling data transmission and collaborative work between fire boxes.

5. The fire management system based on a fire box as described in claim 1, characterized in that, The fire protection back-end module includes a data receiving unit, a data analysis unit, a decision-making unit, and a scheme generation unit; The data receiving unit is used to receive data from the fire detection module and the positioning module, and to perform preliminary formatting and organization of the data; The data analysis unit uses models and big data analysis technology to perform in-depth mining and fusion analysis of fire data, extracting fire characteristic information, development trends and potential risks. The decision-making unit makes corresponding decisions based on the analysis results and in conjunction with preset fire handling rules and strategies. The scheme generation unit generates specific fire extinguishing and evacuation schemes based on the decision results.

6. The fire management system based on a fire box as described in claim 1, characterized in that, The positioning module includes a GPS positioning unit, a BeiDou positioning unit, and an indoor positioning unit; The GPS positioning unit is used to provide high-precision positioning information for fire extinguisher boxes and related personnel in outdoor environments; The Beidou positioning unit is used to ensure the continuity and accuracy of positioning when GPS signals are interfered with or blocked. The indoor positioning unit is used to achieve high-precision positioning in complex indoor environments by employing UWB, Bluetooth beacon, and inertial navigation technologies.

7. A fire management method based on a fire extinguisher box, used in the fire management system based on a fire extinguisher box as described in any one of claims 1-6, characterized in that, Includes the following steps: The fire detection module monitors fire information in real time, collects smoke, temperature and flame data, and forms preliminary monitoring data after preprocessing. The edge computing module receives monitoring data, quickly analyzes and judges the fire situation; when communication is normal, it sends the data to the fire protection backend module; when communication is interrupted, it directly controls the emergency lighting module to carry out a preliminary emergency response. The communication module selects an appropriate method to transmit monitoring data and preliminary processing results to the fire protection backend module; The fire control backend module receives and processes data, uses models to analyze fire conditions, and generates fire extinguishing and evacuation plans. The positioning module accurately locates the fire point and personnel positions, and transmits the data to the fire control backend module to optimize the evacuation plan; The fire control module transmits the evacuation plan to the emergency lighting module, dynamically adjusting the lighting mode to assist personnel evacuation; The remote monitoring module collects system operation status data in real time, and the monitoring terminal displays the system status and remotely issues control commands. The edge computing module dynamically adjusts local decisions, and the fire protection backend module optimizes the solution.

Images