Intelligent fire rescue plan management method
By using intelligent fire rescue emergency plan management methods, fire scenarios and levels can be quickly determined, resources and tasks can be matched, and fire rescue plans can be generated, which solves the problem of time-consuming traditional fire rescue and improves rescue efficiency.
Patent Information
- Application Number
- CN202511608246.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-05
- Publication Date
- 2026-03-03
AI Technical Summary
Traditional fire rescue methods are time-consuming and cannot meet the needs of rapid response, which may delay fire rescue opportunities and cause serious consequences.
By using intelligent fire and rescue emergency plan management methods, alarm information is obtained, alarm keywords are identified, fire scene types and fire alarm levels are assessed, resource scheduling matrices in the emergency plan database are invoked, fire truck configuration schemes are matched, disaster relief resources and tasks are recommended, safety management is carried out, and fire and rescue response plans are generated.
It enables the rapid generation of fire and rescue plans, ensuring that firefighters can be deployed to rescue operations in a timely manner, avoiding delays in fire rescue, and improving rescue efficiency.
Smart Images
Figure CN121599504A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of fire and rescue emergency plan management methods, and in particular to an intelligent fire and rescue emergency plan management method. Background Technology
[0002] Fire, as an extremely destructive disaster, seriously threatens human life and property safety as well as the stable development of society. With the acceleration of urbanization, the continuous expansion of industrial scale, and the emergence of various new types of buildings and complex locations, the frequency and complexity of fires are increasing, bringing unprecedented challenges to fire rescue work.
[0003] In the traditional fire rescue model, after receiving the alarm information, the dispatcher needs to manually organize and analyze the information to determine the fire scene and fire alarm level, and then determine the fire rescue plan based on the analysis. This process is completed entirely manually, which is time-consuming and cannot meet the needs of rapid response. It may delay the opportunity for fire rescue and cause serious consequences. Summary of the Invention
[0004] The purpose of this invention is to provide an intelligent fire rescue plan management method that can quickly generate fire rescue plans, enabling firefighters to quickly engage in fire rescue work and avoid serious consequences caused by delays in fire rescue.
[0005] To achieve the above objectives, the present invention provides an intelligent fire and rescue emergency plan management method, comprising:
[0006] Obtain alarm information and determine alarm keywords based on the alarm information;
[0007] Determine the fire scene type based on police report keywords;
[0008] Assess the fire scene environment and determine the fire alarm level;
[0009] Based on the fire scenario type and fire alarm level, the resource scheduling matrix in the corresponding emergency plan library is invoked to match the fire truck configuration scheme.
[0010] Assess the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck configuration plan, and recommend specific disaster relief tasks.
[0011] Based on the material support rules defined in the plan, the corresponding logistical support resources are recommended by analyzing the fire scenario type and the required disaster relief resources.
[0012] Safety control measures are implemented at the fire and rescue site.
[0013] A fire rescue and response plan is generated based on the fire scenario type, fire alarm level, fire truck configuration plan, required disaster relief resources, specific disaster relief tasks, and recommended logistical support resources.
[0014] The specific steps for determining the fire scene type based on alarm keywords include:
[0015] The alarm keywords are searched in a pre-built building type database, and the fire scene type corresponding to the alarm keywords is output. The fire scene type includes building fire, petrochemical fire, vehicle fire and special types of fire.
[0016] The specific steps for assessing the fire scene environment and determining the fire alarm level include:
[0017] Fire assessment indicators are determined, and five thresholds are assigned to each fire assessment indicator. Each threshold corresponds to a fire alarm level. The corresponding fire alarm level is matched according to the actual fire scene information. The fire assessment indicators include casualties and entrapment, burned area, location type, disaster controllability, and special risks.
[0018] Among the steps, the process of calling the resource scheduling matrix in the corresponding emergency plan library based on the fire scenario type and fire alarm level to match fire truck configuration schemes is as follows:
[0019] The fire truck configuration plan includes the following numbers of fire trucks: heavy-duty water tankers, ordinary water tankers, foam fire trucks, lighting fire trucks, dry powder fire trucks, aerial ladder trucks, rescue vehicles, smoke extraction fire trucks, support fire trucks, chemical defense fire trucks, communication command vehicles, and other fire trucks.
[0020] Among the steps, assessing the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck configuration plan, and recommending specific disaster relief tasks, are outlined.
[0021] The disaster relief resources include the number of personnel required for the operation, the special equipment required for the operation, the specific fire extinguishing agents required for the operation, the time required to reach the scene, the number of built-in fire protection facilities, equipment, facilities and water supply.
[0022] Among the steps, assessing the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck configuration plan, and recommending specific disaster relief tasks, are outlined.
[0023] The specific tasks of the disaster relief include the seating arrangements of personnel and vehicles at each grassroots team and station, the grouping of combat units and their task assignments, key points of handling, and action instructions.
[0024] Among these steps, based on the material support rules defined in the contingency plan, the corresponding logistical support resources are recommended by analyzing the type of fire scenario and the required disaster relief resources.
[0025] The combat support resources include water supply support, equipment support, material support, living support, medical support, and technical support.
[0026] This invention provides an intelligent fire rescue emergency plan management method. It acquires alarm information and determines alarm keywords based on the alarm information; identifies the fire scenario type based on the alarm keywords; assesses the fire scene environment and determines the fire alarm level; based on the fire scenario type and fire alarm level, it calls the resource scheduling matrix in the corresponding emergency plan library to match fire truck configuration schemes; assesses the required disaster relief resources based on the fire scenario type, fire alarm level, and fire truck configuration scheme, and recommends specific disaster relief tasks; based on the material support rules defined in the plan, it recommends corresponding logistical support resources by analyzing the fire scenario type and required disaster relief resources; it conducts safety control at the fire rescue site; and it generates a fire rescue response plan based on the fire scenario type, fire alarm level, fire truck configuration scheme, required disaster relief resources, specific disaster relief tasks, and recommended logistical support resources. This invention can quickly generate fire rescue plans, allowing firefighters to quickly engage in fire rescue work and avoid serious consequences caused by delays in fire rescue. Attached Figure Description
[0027] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.
[0028] Figure 1 This is a flowchart of the intelligent fire rescue plan management method of the present invention.
[0029] Figure 2 This is a chart showing the correspondence between fire scene types and keywords in this invention.
[0030] Figure 3 This is a chart showing the correspondence between fire scene environmental assessment indicators and fire alarm levels according to the present invention.
[0031] Figure 4 This is a diagram showing the correspondence between the fire truck configuration schemes of the present invention. Detailed Implementation
[0032] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.
[0033] Please see Figures 1-4 ,in, Figure 1 This is a flowchart of the intelligent fire rescue plan management method of the present invention; Figure 2 This is a chart showing the correspondence between fire scene types and keywords in this invention; Figure 3 This is a chart showing the correspondence between fire scene environmental assessment indicators and fire alarm levels according to the present invention. Figure 4 This is a diagram showing the correspondence between the fire truck configuration schemes of the present invention.
[0034] This invention provides an intelligent fire and rescue emergency plan management method, comprising:
[0035] S1 acquires alarm information and determines alarm keywords based on the alarm information;
[0036] In this embodiment of the invention, the first step is to create a contingency plan. The text plan is then structured and digitized, dividing it into dimensions such as severity level assessment, resource requirements, force deployment, specific tasks (operational deployment), action instructions, personnel evacuation, logistical support, and information reporting. For each dimension, a structured breakdown is performed, clarifying data fields and logical relationships. This includes fields such as threshold parameters, impact range, and coordinating departments in the severity level assessment. The digitization process converts this structured data into a storable and processable format, including database tables and JSON structures, creating a digitized contingency plan. The plan supports multiple disaster scenarios, with different strategies for different scenarios, and force deployment is based on actual force composition, forming a force summary. The command center dispatcher communicates with the caller via the 119 emergency hotline to obtain basic information about the fire scene, including the address, type, burning floor, and trapped personnel.
[0037] S2 determines the fire scene type based on alarm keywords;
[0038] The specific steps include:
[0039] The alarm keywords are searched in a pre-built building type database, and the fire scene type corresponding to the alarm keywords is output. The fire scene type includes building fire, petrochemical fire, vehicle fire and special types of fire.
[0040] In this embodiment of the invention, the dispatcher initially determines the fire scenario based on the alarm information; the fire scenario includes building fires, petrochemical fires, vehicle fires, and special types of fires. The dispatcher determines the fire scenario by analyzing the alarm keywords provided by the caller. For example, when the dispatcher enters "fire on the 15th floor of an office building," the system will automatically search the relevant building type database based on the keywords "office building" (see reference). Figure 2The system recommends high-rise building fire scenarios; however, when a dispatcher enters "smoke coming from a warehouse mezzanine," the system will recommend large-span space fire scenarios based on keywords such as "warehouse" and "mezzanine." The system uses pre-built keyword templates for each type of fire scenario; for example, "residential" is typically associated with building fires, and "oil tank" is associated with petrochemical fires. Dispatchers combine these system recommendations with core elements in the alarm information, such as the combustible material (e.g., wood, cotton, wool, etc., which belong to Class A solid material fires) and the building structure (high-rise / underground / mixed-use complex), to accurately determine the fire scenario. Details are as follows:
[0041] When the alarm information contains keywords such as "storage tank leak", "reactor explosion" or "LNG tanker overturning", the system recommends petrochemical fires.
[0042] Vehicle fire identification: If the alarm information contains the vehicle type (fuel / electric / tank), fuel status (battery smoke / fuel tank rupture), and the loaded material, as well as keywords such as "smoke coming from the chassis of an electric vehicle", the system will recommend it as a vehicle fire.
[0043] Special fire identification: If the alarm information includes keywords such as "fire in power transmission and transformation facilities", "ammonia leak in cold storage" or "outdoor fire at -25℃", the system will recommend it as a special fire type.
[0044] S3 assesses the fire scene environment and determines the fire alarm level;
[0045] The specific steps include:
[0046] Fire assessment indicators are determined, and five thresholds are assigned to each fire assessment indicator. Each threshold corresponds to a fire alarm level. The corresponding fire alarm level is matched according to the actual fire scene information. The fire assessment indicators include casualties and entrapment, burned area, location type, disaster controllability, and special risks.
[0047] In this embodiment of the invention, reference Figure 2An on-site assessment is conducted, including an environmental assessment. This assessment covers building structure, building type, surrounding area, topography, ignition point height, weather conditions, and secondary disasters (explosion, collapse, flashover). Fire alarm levels are classified using a five-level system, from lowest to highest (corresponding colors: green, blue, yellow, orange, red). Assessment indicators primarily include casualties / trapped individuals, burned area, location type, disaster controllability, and special risks. The fire alarm level algorithm is a multi-dimensional dynamic assessment: based on the number of casualties and burned area, it incorporates factors such as location risk, time environment, and controllability. In practical applications, real-time information and commander analysis are necessary to ensure the response level matches the disaster situation. The area threshold may be slightly adjusted in different regions. For example, a burned area of less than 100 square meters for a typical building is classified as Level 1. More than 30 casualties or trapped individuals are classified as Level 5. For special risks, such as explosions, toxic gas spread, or collapses, the level is directly classified as Level 4 or 5.
[0048] Special locations include high-rise buildings, underground spaces, densely populated areas, flammable and explosive sites, cultural relics and ancient buildings, and government and party organs.
[0049] Firefighting in fire rescue scenarios includes residential building fires, flammable building fires, high-rise building fires, underground building fires, large-span spatial structure building fires, and large urban complex building fires.
[0050] Firefighting in building rescue scenarios includes fighting petrochemical fires: fires in petrochemical production facilities, fires in oil storage tanks, and fires in liquefied natural gas receiving stations.
[0051] Firefighting in building rescue scenarios includes firefighting of vehicle fires: fires involving gasoline-powered vehicles, natural gas-powered vehicles, electric vehicles, and tanker trucks.
[0052] Firefighting in building rescue scenarios includes fighting special types of fires: forest fires, train fires, fires involving electrical equipment, fires in cold seasons, fires in radioactive areas, fires in strong winds, and fires in hazardous chemical warehouses.
[0053] Based on the assessment results, the fire level is determined. The assessment indicators include the burned area, whether people are trapped, and the number of casualties. The fire level is divided into Level 1 fire alarm dispatch, Level 2 fire alarm dispatch, etc.
[0054] S4, based on the fire scenario type and fire alarm level, calls the resource scheduling matrix in the corresponding emergency plan library to match the fire truck configuration scheme;
[0055] In this step, the fire truck configuration plan includes the number of heavy water tankers, ordinary water tankers, foam fire trucks, lighting fire trucks, dry powder fire trucks, aerial ladder fire trucks, rescue vehicles, smoke extraction fire trucks, support fire trucks, chemical defense fire trucks, communication command vehicles, and other fire trucks.
[0056] In this embodiment of the invention, the system intelligently invokes the resource scheduling matrix in the corresponding contingency plan database based on the rescue scenario type and fire level assessment results, and automatically matches the optimal fire truck configuration scheme (see reference). Figure 4 For example, in the case of a high-rise building fire classified as a level two fire alarm, the system automatically generates a deployment plan for 4-6 combat formations, mobilizing 8-11 specialized fire trucks. The specific configuration includes 3-4 heavy water tankers for main fire water supply, 1 lighting fire truck to ensure visibility for nighttime rescue, 1-2 aerial ladder trucks for high-altitude firefighting and rescue, 1 rescue vehicle for handling complex rescue missions, 1 support fire truck to continuously ensure equipment and material supplies, and 1 communications command vehicle to ensure smooth on-site communication and efficient command and dispatch, forming a three-dimensional and professional firefighting and rescue force system.
[0057] S5 assesses the required disaster relief resources based on the type of fire scenario, the fire alarm level, and the fire truck configuration plan, and recommends specific disaster relief tasks.
[0058] In this step, the disaster relief resources include the number of personnel required for the operation, the special equipment required for the operation, the specific fire extinguishing agent required for the operation, the time required to reach the scene, the number of built-in fire prevention facilities, equipment, facilities and water supply; the specific disaster relief tasks include the seating arrangement of personnel and vehicles at each grassroots team station, the grouping of combat units and their task division, key points of handling and operation instructions.
[0059] In this embodiment of the invention, the required resources are assessed. This includes the number of personnel required for the operation, the special equipment required, the specific fire extinguishing agent required, the time required to reach the scene, the number of built-in fire protection facilities, equipment, facilities, and water supply. For different fire alarm levels, based on the matrix provided when the plan is invoked, the rescue scenario and dispatched vehicles are matched, and the above-mentioned forces within the jurisdiction are mobilized into formations (teams and fire trucks) for firefighting. For example, in a Level 1 fire alarm, it is determined whether the brigade's combat support brigade (or medium-sized brigade) will be dispatched, whether the brigade's full-time command headquarters will be dispatched, whether the combat support brigade (or medium-sized brigade) will be dispatched, and whether the elite fire brigade will be dispatched. The system automatically recommends whether heavy-duty water tankers, ordinary water tankers, foam fire trucks, lighting fire trucks, dry powder fire trucks, aerial ladder trucks, rescue vehicles, smoke extraction fire trucks, support fire trucks, chemical decontamination vehicles, and communication command vehicles should be dispatched. Fire stations, professional teams, and social rescue forces are organized into hierarchical formations according to the plan template. Taking a fire and rescue brigade as an example, in the event of a fire in a super high-rise building, an automatic "firefighting + aerial climbing + water supply" combat unit is generated, and the building structure drawings are retrieved in conjunction with the Housing and Construction Bureau, and the mini fire station is simultaneously pushed to carry out initial response.
[0060] Recommend specific tasks, clarify the seating arrangements for personnel and vehicles at each grassroots team station, the grouping of combat units and their task assignments, key points of action, action instructions, and key points of handling. After arriving at the scene, the action instructions shall be followed to carry out rescue work in accordance with procedures, as detailed below:
[0061] Standardized vehicle seating arrangement: First vehicle crew configuration (urban main fire truck / compressed air foam truck): Driver: Front left seat, responsible for vehicle control and pump pressure adjustment; Commander: Front right seat, monitoring fire situation and accessing building BIM data via terminal; First firefighter: Middle left seat, carrying a thermal imager and demolition tool kit; Second firefighter: Middle right seat, carrying a 20-meter double-panel hose and a water distributor. Water supply truck crew positioning is also implemented, with a safety monitoring post (rear right seat) on the rear transfer water supply truck to monitor hose pressure and leakage risks in real time. According to this management rule, each crew member's location on the vehicle is indicated after logging into the system based on their assigned role.
[0062] Combat Unit Grouping and Task Allocation: Demolition and Search Rescue Team (2 people), equipped with a chainsaw + toothed saw set and a multi-band life detector. Their task is to position the first vehicle within 5 meters of the building's exterior and complete the demolition of the main entrance within 2 minutes to establish an attack channel. Hose Laying Team (3 people, ladder operation): First-floor water distributor installation (vertical displacement from the fire layer ≥ 3 floors 1); ② Set up binding markers every 50 meters along the dual main lines, broadcasting "Line A - 8F - Pressure 1.5MPa" via radio. Aerial Ascent Team: Ladder truck operators must wear laser levels and locate the optimal lifting angle (65°±5° angle with the building facade) within 30 seconds. The load threshold of the aerial work platform is displayed in real time. The plan clearly defines the combat unit grouping and task allocation, automatically recommending tasks for each combat unit based on the rescue scenario.
[0063] Key points and action instructions: Positioning, assigning roles, vehicles, equipment, and responsibilities to commanders and fighters according to functional units to ensure optimal initial combat force composition and maximized operational effectiveness. Upon deployment, alerts are given to potential building risks; upon arrival, heat maps are generated to guide reconnaissance routes; during the final assault phase, drone aerial photography is used to plan breaching points; during withdrawal, backfire risks are monitored and emergency broadcasts are activated. The plan clearly defines the task assignments for each combat unit group, automatically recommending tasks for each unit based on the rescue scenario, and automatically recommending action instructions and key points for handling the task.
[0064] Based on the material support rules defined in the plan, S6 recommends corresponding logistical support resources by analyzing the fire scenario type and the required disaster relief resources;
[0065] In this step, the logistical support resources include water supply support, equipment support, material support, living support, medical support, and technical support.
[0066] In this embodiment of the invention, recommended logistical support resources include water supply, equipment, materials, living support, medical support, and technical support. The recommendation of logistical support resources is based on the material support rules defined in the contingency plan. Through intelligent analysis of fire rescue scenarios and resource demand types, precise resource allocation and recommendation are achieved. In the event of a hazardous chemical accident, the system automatically identifies the accident type and risk level, triggering the call for specialized materials such as chemical protective suits, professional leak-sealing equipment, and decontamination devices to ensure the safe handling of the leak source by rescue personnel. Simultaneously, environmental parameters are monitored, and the protection level is adjusted in real time. For oil tank fire scenarios, based on the fire scale and characteristics of the burning materials, the system prioritizes recommending foam fire trucks to form a foam covering layer to isolate oxygen, a remote water supply system to ensure continuous water supply for firefighting, heavy firefighting equipment to provide support for high-temperature operations, and coordinated mobilization of auxiliary materials such as foam concentrate and breathing apparatus to ensure maximum firefighting efficiency. Regarding water supply... The system assesses the on-site water supply situation and recommends mobile water supply units, water storage tanks, and water treatment equipment to meet the needs of prolonged operations. The equipment support module automatically matches special rescue equipment, demolition tools, and detection equipment based on the type of rescue mission, ensuring that the equipment is in optimal condition. Living support resources include food, accommodation, and rotation facilities; the system rationally allocates catering vehicles, tents, and rest areas based on the rescue duration and number of personnel. The medical support module recommends first-aid kits, stretchers, medical equipment, and epidemic prevention supplies based on the nature of the accident and the characteristics of the injuries, and arranges for a medical team to accompany the mission. In terms of technical support, the system provides remote expert guidance, communication equipment, and a technical support team to ensure the smooth implementation of complex rescue missions. All resource recommendations are based on historical case analysis and real-time data to form the optimal support plan.
[0067] It also includes recommending nearby fire hydrants and using the "resource circle" function to delineate the locations of water sources, emergency supply points, and related units within a 3-kilometer radius of a disaster site. The system first loads the precise location coordinates of water sources (including artificial and natural water sources, fire hydrants), rescue equipment (such as mobile water cannons, breathing apparatus, smoke extractors, etc.), and related units (such as fire stations, professional teams, social rescue forces, traffic police, medical, public security, power supply, etc.) from a pre-built fire geographic information system. Then, it integrates a map service API to display the fire location and surrounding map interface in real time. By obtaining the coordinates of the fire location upon receiving the alarm, the system automatically generates a circular virtual area (i.e., the "resource circle") with a radius of 3 kilometers centered on the fire location. Using a spatial query algorithm, i.e., buffer analysis, it retrieves the location information of all water sources, rescue equipment, and related units within this area. Finally, it marks the types of these points on the map with different colors and generates a detailed list containing names, specific addresses, and distances from the disaster site for users to quickly access. At the same time, various resources can display their locations based on the map.
[0068] S7 is responsible for safety control at fire and rescue sites;
[0069] In this embodiment of the invention, a clear safety management system for rescue sites is established. A three-tiered management mechanism involving a rescue site safety officer, safety assistant, and safety personnel is implemented to manage safety throughout the entire process, promptly reminding and correcting unsafe behaviors to ensure rescue safety. The rescue site safety officer is responsible for coordinating on-site safety decisions, risk assessment, and issuing major safety instructions. The safety assistant assists the safety officer in conducting safety inspections, risk assessments, and dynamic monitoring, focusing on high-risk operational processes and disseminating information online. Safety personnel are deployed in key operational areas to monitor the implementation of operating procedures, protective equipment wearing, and safety regulations in real time, and also disseminate information online. Unsafe behaviors (such as not wearing protective equipment or violating operating procedures) are automatically captured and immediately alerted through monitoring and intelligent identification systems. Simultaneously, smart bracelets or mobile terminals are used to achieve real-time reporting and coordinated handling of safety information, promptly correcting violations and eliminating safety hazards.
[0070] S8 generates a fire rescue and disposal plan based on the fire scenario type, fire alarm level, fire truck configuration plan, required disaster relief resources, specific disaster relief tasks, and recommended logistical support resources.
[0071] In this embodiment of the invention, after completing the entire process analysis including disaster identification, level determination, resource assessment, logistical support recommendation, and safety control, the system automatically generates a fire rescue and disposal plan based on a preset structured template and dynamic data integration. First, it summarizes the disaster type (e.g., high-rise building fire), level (Level 1 fire alarm), core parameters (burned area, number of trapped people, combustible materials), and on-site environmental assessment results (structural risk, weather, secondary disasters) into a disaster overview. Then, based on the force deployment matrix generated by the call-up plan, it automatically lists the number of dispatched squadrons, the type and quantity of fire trucks (e.g., 1 heavy water tanker, 1 foam fire truck), the operational unit groups (breaching and search rescue group, hose laying group, aerial assault group) and their personnel configurations, and the equipment list (mobile water cannon, thermal imager, breaching tool kit, 20-meter hose with distributor). Finally, it embeds tactical points according to the scenario characteristics (e.g., for hazardous chemical accidents, it automatically triggers the "500-meter warning circle + chemical protective suit wearing + leak-stopping equipment deployment" command; for oil tank fires, it pushes the "foam covering layer +..." command). The "Remote Water Supply System + Thermal Imaging Monitor for Liquid Level Monitoring" action guide, combined with the "Resource Circle" function, recommends the location, details, and contact information of water sources (fire hydrant coordinates and distances), equipment and material points (foam concentrate storage points), and related units (fire stations, professional teams, social rescue forces, medical, power supply, etc.) within a 3-kilometer radius. It also integrates a three-level safety management mechanism, clarifying the responsibilities of the on-site safety officer (overall risk assessment), the tasks of the safety assistant (dynamic monitoring of high-risk areas), the deployment area of the safety officer (equipment wearing checkpoints), and real-time early warning rules (such as triggering emergency broadcasts based on backfire risk monitoring). Finally, all information is integrated into a structured document according to the logical chain of "Disaster Overview - Force Deployment - Action Instructions - Resource Support - Safety Measures," supporting map marking of key points (water sources, equipment points), timeline progression (on-site reconnaissance, safety protection, smoke extraction and demolition, logistical support, firefighting and rescue, evacuation and return to base), and multi-terminal synchronization, ensuring that commanders can obtain a closed-loop rescue plan containing accurate data, a visual map, and dynamic instructions with a single click.
[0072] The present invention provides an intelligent fire rescue plan management method that can quickly generate fire rescue plans, enabling firefighters to engage in fire rescue work as soon as possible and avoid serious consequences caused by delays in fire rescue.
[0073] The above-disclosed embodiments are merely one or more preferred embodiments of this application and should not be construed as limiting the scope of this application. Those skilled in the art can understand that all or part of the processes for implementing the above embodiments and equivalent changes made in accordance with the claims of this application still fall within the scope of this application.
Claims
1. An intelligent fire and rescue emergency plan management method, characterized in that, include: Obtain alarm information and determine alarm keywords based on the alarm information; Determine the fire scene type based on police report keywords; Assess the fire scene environment and determine the fire alarm level; Based on the fire scenario type and fire alarm level, the resource scheduling matrix in the corresponding emergency plan library is invoked to match the fire truck configuration scheme. Assess the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck configuration plan, and recommend specific disaster relief tasks. Based on the material support rules defined in the plan, the corresponding logistical support resources are recommended by analyzing the fire scenario type and the required disaster relief resources. Safety control measures are implemented at the fire and rescue site. A fire rescue and response plan is generated based on the fire scenario type, fire alarm level, fire truck configuration plan, required disaster relief resources, specific disaster relief tasks, and recommended logistical support resources.
2. The intelligent fire and rescue emergency plan management method as described in claim 1, characterized in that, The specific steps for determining the type of fire scene based on alarm keywords include: The alarm keywords are searched in a pre-built building type database, and the fire scene type corresponding to the alarm keywords is output. The fire scene type includes building fire, petrochemical fire, vehicle fire and special types of fire.
3. The intelligent fire and rescue emergency plan management method as described in claim 2, characterized in that, The specific steps for assessing the fire scene environment and determining the fire alarm level include: Fire assessment indicators are determined, and five thresholds are assigned to each fire assessment indicator. Each threshold corresponds to a fire alarm level. The corresponding fire alarm level is matched according to the actual fire scene information. The fire assessment indicators include casualties and entrapment, burned area, location type, disaster controllability, and special risks.
4. The intelligent fire and rescue emergency plan management method as described in claim 3, characterized in that, The step of matching fire truck configuration schemes by calling the resource scheduling matrix in the corresponding emergency plan library based on the fire scenario type and fire alarm level is as follows. The fire truck configuration plan includes the following numbers of fire trucks: heavy-duty water tankers, ordinary water tankers, foam fire trucks, lighting fire trucks, dry powder fire trucks, aerial ladder trucks, rescue vehicles, smoke extraction fire trucks, support fire trucks, chemical defense fire trucks, communication command vehicles, and other fire trucks.
5. The intelligent fire and rescue emergency plan management method as described in claim 4, characterized in that, Assess the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck deployment plan, and recommend specific steps for disaster relief tasks. The disaster relief resources include the number of personnel required for the operation, the special equipment required for the operation, the specific fire extinguishing agents required for the operation, the time required to reach the scene, the number of built-in fire protection facilities, equipment, facilities and water supply.
6. The intelligent fire and rescue emergency plan management method as described in claim 5, characterized in that, Assess the required disaster relief resources based on the type of fire scenario, fire alarm level, and fire truck deployment plan, and recommend specific steps for disaster relief tasks. The specific tasks of the disaster relief include the seating arrangements of personnel and vehicles at each grassroots team and station, the grouping of combat units and their task assignments, key points of handling, and action instructions.
7. The intelligent fire and rescue emergency plan management method as described in claim 6, characterized in that, Based on the material support rules defined in the contingency plan, and by analyzing the type of fire scenario and the required disaster relief resources, the steps for recommending corresponding logistical support resources are as follows: The combat support resources include water supply support, equipment support, material support, living support, medical support, and technical support.