High-integration-level intelligent fire-fighting command system

Abstract

The invention relates to the technical field of fire fighting, in particular to a high-integration-level fire fighting intelligent command system, which realizes full-process intelligent management and improves rescue efficiency and accuracy through modular design and micro-service architecture. The service flow module realizes closed-loop management, the task point module standardizes rescue tasks, the instruction set module ensures instruction specifications, the resource circle module can quickly deploy resources, the combat group module realizes multi-party cooperation, and the knowledge base module provides decision support. The system adopts a micro-service architecture, each module performs asynchronous communication through a unified message bus, coupling is reduced, stability is enhanced, and the modular design facilitates maintenance and upgrading and reduces cost. The resource circle module constructs a three-dimensional security network which can be reached within 3 minutes based on GIS and real-time traffic data; the combat group module constructs a cooperative linkage matrix, realizes visual deployment, and improves the cooperative combat ability.

Description

Technical Field

[0001] This invention relates to the field of fire protection technology, and in particular to a highly integrated intelligent fire command system. Background Technology

[0002] Current fire and rescue operations consist of multiple independent systems with low integration and a lack of effective integration, resulting in information silos that affect rescue efficiency and real-time information sharing. Furthermore, due to the complex system structure, locating and repairing problems is difficult when they occur, leading to high maintenance costs.

[0003] The tight coupling between the various parts of the system means that even a small fault can paralyze the entire system, resulting in insufficient system stability. In emergencies, the system may be unable to quickly process and transmit critical information, affecting rescue decisions. Furthermore, with technological advancements and changing rescue needs, existing systems struggle to adapt quickly to new functional requirements, exhibiting insufficient scalability. Summary of the Invention

[0004] The purpose of this invention is to provide a highly integrated intelligent fire command system, which aims to solve the problem of low integration in existing fire and rescue systems.

[0005] To achieve the above objectives, the present invention provides a highly integrated intelligent fire command system, including a business flow module, a task point module, an instruction set module, a resource circle module, a combat group module, and a knowledge base module;

[0006] The business flow module is used to drive the closed-loop management of the entire process from receiving and handling alarms to the summary of the battle.

[0007] The task point module is used to decompose fire rescue tasks into standard task modules and establish relationships between tasks;

[0008] The instruction set module is used to serialize and standardize combat instructions and establish a mapping relationship between tasks and instructions;

[0009] The resource circle module is used to recommend nearby resources and build a three-dimensional security network based on GIS geographic information system and real-time traffic data.

[0010] The combat group module is used to construct a multi-party collaborative linkage matrix and form a visualized force deployment;

[0011] The knowledge base module is used to collect and summarize laws, regulations, standards and norms to form a knowledge base to support decision-making.

[0012] The business flow module includes a process engine unit, a node monitoring unit, and an exception handling unit.

[0013] The process engine unit is used to drive the automated execution and intelligent flow of business processes;

[0014] The node monitoring unit is used to monitor the entire business process in real time.

[0015] The exception handling unit is used to detect and handle exceptions in the process.

[0016] The task point module includes a task classification unit, a task template unit, a task chain unit, and a conflict resolution unit.

[0017] The task classification unit is used to classify tasks according to function, urgency, and executing department;

[0018] The task template unit is used to create reusable task templates;

[0019] The task chain unit is used to construct the logical order and execution chain between tasks;

[0020] The conflict resolution unit is used to formulate conflict resolution strategies during task execution.

[0021] The instruction set module includes an instruction classification unit, an instruction encoding unit, a task instruction mapping unit, and a dynamic adjustment unit.

[0022] The instruction classification unit is used to classify instructions according to function, execution stage, and permission level;

[0023] The instruction encoding unit is used to define a unified instruction format;

[0024] The task instruction mapping unit is used to determine the mapping relationship between tasks and instructions;

[0025] The dynamic adjustment unit is used to establish a dynamic adjustment mechanism between tasks and instructions.

[0026] The resource circle module includes a demand list unit, a resource inventory unit, a GIS positioning unit, a path planning unit, a resource recommendation unit, and a situation mapping unit.

[0027] The demand list unit is used to generate a list of required materials, equipment and personnel;

[0028] The resource inventory unit is used to retrieve the type, quantity, location, and status of all available resources;

[0029] The GIS positioning unit is used to locate resources near the accident site;

[0030] The path planning unit is used to plan the optimal path by combining real-time traffic data;

[0031] The resource recommendation unit is used to recommend the nearest and most suitable resource;

[0032] The situation mapping unit is used to integrate resource location, status, and task allocation into the GIS map.

[0033] The combat group module includes a group establishment unit, a responsibility definition unit, a force composition unit, a location tracking unit, an instruction receiving unit, and an execution feedback unit.

[0034] The group establishment unit is used to establish a combat group composed of different rescue forces;

[0035] The responsibility definition unit is used to clarify the scope of responsibilities for each combat group;

[0036] The force organization unit is used for the programmed management of the forces of the combat group;

[0037] The location tracking unit is used to track the real-time location of rescue forces within the combat group;

[0038] The instruction receiving unit is used to receive instructions from the command center;

[0039] The execution feedback unit is used to report the situation on-site to the command center.

[0040] The knowledge base module includes a document aggregation unit, a knowledge graph unit, a model repository unit, a knowledge question answering unit, and a knowledge recommendation unit.

[0041] The document aggregation unit is used to collect documents from different sources and in different formats;

[0042] The knowledge graph unit is used to construct a knowledge graph;

[0043] The model repository unit is used to integrate analytical models and algorithms;

[0044] The knowledge-based question-answering unit is used to provide accurate answers based on the knowledge base;

[0045] The knowledge recommendation unit is used to recommend relevant knowledge content based on needs.

[0046] This invention discloses a highly integrated intelligent fire command system. Through modular design and a microservice architecture, this system utilizes full-process automated management to achieve intelligent dispatching, visualized force deployment, and precise decision support, significantly improving rescue efficiency and accuracy. The business flow module implements closed-loop management of the entire process, the task point module standardizes rescue tasks, the instruction set module ensures instruction standardization, the resource circle module rapidly allocates resources, the combat group module enables multi-party collaborative operations, and the knowledge base module provides scientific decision support. The system adopts a microservice architecture, with modules communicating asynchronously through a unified message bus, reducing coupling and enhancing stability. The modular design facilitates maintenance and upgrades, reducing maintenance costs. The resource circle module, based on GIS and real-time traffic data, quickly recommends nearby resources, constructing a three-dimensional support network reachable within 3 minutes, optimizing resource allocation. The combat group module constructs a multi-party collaborative linkage matrix, enabling visualized force deployment and enhancing collaborative combat capabilities. This invention significantly improves the efficiency, stability, and accuracy of fire rescue, reduces maintenance costs, optimizes resource allocation, and enhances collaborative combat capabilities. Therefore, it solves the problem of low integration in existing fire rescue systems. Attached Figure Description

[0047] 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.

[0048] Figure 1 This is a schematic diagram of a highly integrated intelligent fire command system provided by the present invention.

[0049] Figure 2 This is a schematic diagram of the business flow module.

[0050] Figure 3 This is a schematic diagram of the task point module.

[0051] Figure 4 This is a schematic diagram of the instruction set module.

[0052] Figure 5 This is a schematic diagram of the resource circle module.

[0053] Figure 6 This is a schematic diagram of the combat group module.

[0054] Figure 7 This is a schematic diagram of the knowledge base module.

[0055] In the diagram: 1-Business Flow Module, 2-Task Point Module, 3-Instruction Set Module, 4-Resource Circle Module, 5-Combat Group Module, 6-Knowledge Base Module, 11-Process Engine Unit, 12-Node Monitoring Unit, 13-Exception Handling Unit, 21-Task Classification Unit, 22-Task Template Unit, 23-Task Chain Unit, 24-Conflict Resolution Unit, 31-Instruction Classification Unit, 32-Instruction Encoding Unit, 33-Task Instruction Mapping Unit, 34-Dynamic Adjustment Unit, 41-Requirement List Unit, 42-Resource Inventory Unit, 43-GIS Positioning Unit, 44-Path Planning Unit, 45-Resource Recommendation Unit, 46-Situation Mapping Unit, 51-Group Establishment Unit, 52-Responsibility Definition Unit, 53-Force Composition Unit, 54-Location Tracking Unit, 55-Instruction Receiving Unit, 56-Execution Feedback Unit, 61-Document Aggregation Unit, 62-Knowledge Graph Unit, 63-Model Repository Unit, 64-Knowledge Question Answering Unit, 65-Knowledge Recommendation Unit. Detailed Implementation

[0056] 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.

[0057] Please see Figures 1 to 7 This invention provides a highly integrated intelligent fire command system, including a business flow module 1, a task point module 2, an instruction set module 3, a resource circle module 4, a combat group module 5, and a knowledge base module 6;

[0058] The business flow module 1 is used to drive the closed-loop management of the entire process from receiving and handling alarms to the summary of the battle evaluation.

[0059] The task point module 2 is used to decompose fire rescue tasks into standard task modules and establish relationships between tasks;

[0060] The instruction set module 3 is used to serialize and standardize combat instructions and establish a mapping relationship between tasks and instructions;

[0061] The resource circle module 4 is used to recommend nearby resources and build a three-dimensional security network based on GIS geographic information system and real-time traffic data;

[0062] The combat group module 5 is used to construct a multi-party collaborative linkage matrix and form a visualized force deployment;

[0063] The knowledge base module 6 is used to collect and summarize laws, regulations, standards and norms to form a knowledge base to support decision-making.

[0064] In this embodiment, the highly integrated intelligent fire command system of the present invention achieves intelligent management of the entire process through modular design and microservice architecture, significantly improving rescue efficiency and accuracy. The business flow module 1 realizes closed-loop management of the entire process, the task point module 2 standardizes rescue tasks, the instruction set module 3 ensures instruction standardization, the resource circle module 4 quickly allocates resources, the combat group module 5 enables multi-party collaborative operations, and the knowledge base module 6 provides scientific decision support. The system adopts a microservice architecture, with each module communicating asynchronously through a unified message bus, reducing coupling and enhancing stability. The modular design facilitates maintenance and upgrades, reducing maintenance costs. The resource circle module 4, based on GIS and real-time traffic data, quickly recommends nearby resources, constructing a three-dimensional support network reachable within 3 minutes, optimizing resource allocation. The combat group module 5 constructs a multi-party collaborative linkage matrix, realizing visualized force deployment and enhancing collaborative combat capabilities. The present invention significantly improves the efficiency, stability, and accuracy of fire rescue, reduces maintenance costs, optimizes resource allocation, and enhances collaborative combat capabilities. Thus, it solves the problem of low integration in existing fire rescue systems.

[0065] Furthermore, the business flow module 1 includes a process engine unit 11, a node monitoring unit 12, and an exception handling unit 13;

[0066] The process engine unit 11 is used to drive the automated execution and intelligent flow of business processes;

[0067] The node monitoring unit 12 is used to monitor the entire business process in real time.

[0068] The exception handling unit 13 is used to detect and handle exceptions in the process.

[0069] In this embodiment, the business flow module 1 achieves automated execution and intelligent flow of business processes (receiving and handling alarms, dispatching forces, responding to alarms, en route, combat in progress, withdrawal and return to base, and station evaluation and summary) through the process engine unit 11. The process engine unit 11 utilizes artificial intelligence technology to automatically trigger task flow according to preset rules, reducing manual intervention and improving handling efficiency. The node monitoring unit 12 monitors the execution of the business process in real time, ensuring that each node executes according to predetermined standards and promptly detecting anomalies. The anomaly handling unit 13 is responsible for handling anomalies in the process, ensuring the continuity and stability of the process through automatic alarm and repair mechanisms.

[0070] Furthermore, the task point module 2 includes a task classification unit 21, a task template unit 22, a task chain unit 23, and a conflict resolution unit 24;

[0071] The task classification unit 21 is used to classify tasks according to function, urgency, and executing department;

[0072] The task template unit 22 is used to create reusable task templates;

[0073] The task chain unit 23 is used to construct the logical order and execution chain between tasks;

[0074] The conflict resolution unit 24 is used to formulate conflict resolution strategies during task execution.

[0075] In this embodiment, the task point module 2 categorizes tasks by function (e.g., reconnaissance, rescue, alert), urgency (e.g., emergency, routine, preparatory), and executing department (e.g., fire fighting, medical). The task template unit 22 creates reusable task templates for rapid deployment in similar situations. The task chain unit 23 constructs the logical sequence and execution chain between tasks, forming a task flowchart. The conflict resolution unit 24 formulates conflict resolution strategies during task execution to ensure effective coordination when resources are limited or situations are urgent.

[0076] Furthermore, the instruction set module 3 includes an instruction classification unit 31, an instruction encoding unit 32, a task instruction mapping unit 33, and a dynamic adjustment unit 34;

[0077] The instruction classification unit 31 is used to classify instructions according to function, execution stage, and permission level.

[0078] The instruction encoding unit 32 is used to define a unified instruction format;

[0079] The task instruction mapping unit 33 is used to determine the mapping relationship between tasks and instructions;

[0080] The dynamic adjustment unit 34 is used to establish a dynamic adjustment mechanism between tasks and instructions.

[0081] In this embodiment, the instruction set module 3 classifies instructions by function (e.g., security control, force deployment), execution stage (e.g., emergency response, force dispatch), and authority level (e.g., senior commander, on-site commander) through the instruction classification unit 31. The instruction encoding unit 32 establishes a unified instruction format, including instruction code, name, content, execution unit, and time. The task instruction mapping unit 33 determines the mapping relationship between tasks and instructions, ensuring that each task has clear instruction support. The dynamic adjustment unit 34 establishes a dynamic adjustment mechanism between tasks and instructions, flexibly adjusting instructions according to actual conditions.

[0082] Furthermore, the resource circle module 4 includes a demand list unit 41, a resource inventory unit 42, a GIS positioning unit 43, a path planning unit 44, a resource recommendation unit 45, and a situation mapping unit 46;

[0083] The demand list unit 41 is used to generate a list of required materials, equipment and personnel.

[0084] The resource inventory unit 42 is used to retrieve the type, quantity, location, and status of all available resources;

[0085] The GIS positioning unit 43 is used to locate resources near the accident site;

[0086] The path planning unit 44 is used to plan the optimal path by combining real-time traffic data.

[0087] The resource recommendation unit 45 is used to recommend the nearest and most suitable resource;

[0088] The situation mapping unit 46 is used to integrate resource location, status and task allocation into the GIS map.

[0089] In this embodiment, the resource circle module 4 generates a list of required materials, equipment, and personnel (water sources, fire trucks, engineering vehicles, sprinkler trucks, micro-stations, village part-time teams, drones, robot dogs, etc.) through the demand list unit 41. The resource inventory unit 42 retrieves the type, quantity, location, and status of all available resources. The GIS positioning unit 43 uses a geographic information system to locate resources near the fire scene (fire stations, professional teams, social rescue forces, fire trucks, etc.). The route planning unit 44 plans the optimal route based on real-time traffic data to ensure resources reach the scene quickly. The resource recommendation unit 45 recommends the closest and most suitable resources. The situation mapping unit 46 integrates resource location, status, and task allocation information onto a GIS map to achieve visualized resource management.

[0090] Furthermore, the combat group module 5 includes a group establishment unit 51, a responsibility definition unit 52, a force composition unit 53, a position tracking unit 54, an instruction receiving unit 55, and an execution feedback unit 56;

[0091] The group establishment unit 51 is used to establish a combat group composed of different rescue forces;

[0092] The responsibility definition unit 52 is used to define the scope of responsibilities for each combat group;

[0093] The force organization unit 53 is used for programmed management of the forces of the combat group;

[0094] The location tracking unit 54 is used to track the real-time location of rescue forces within the combat group.

[0095] The instruction receiving unit 55 is used to receive instructions from the command center;

[0096] The execution feedback unit 56 is used to feed back the on-site situation to the command center.

[0097] In this embodiment, the combat group module 5 establishes combat groups composed of different rescue forces (government forces (traffic police, medical, emergency response, power supply, gas supply, water supply, urban management, environmental protection), technical experts, and grassroots forces (mini fire stations, village part-time teams, grid workers)) through the group establishment unit 51. The responsibility definition unit 52 clarifies the scope of responsibilities for each combat group, ensuring that each group performs its duties. The force organization unit 53 performs programmed management of the forces in the combat groups, forming the smallest combat unit. The location tracking unit 54 uses positioning technology to track the real-time location of rescue forces within the combat groups. The instruction receiving unit 55 receives instructions from the command center, ensuring timely transmission of instructions. The execution feedback unit 56 feeds back the on-site situation to the command center, realizing two-way information flow.

[0098] Furthermore, the knowledge base module 6 includes a document aggregation unit 61, a knowledge graph unit 62, a model repository unit 63, a knowledge question answering unit 64, and a knowledge recommendation unit 65;

[0099] The document aggregation unit 61 is used to collect documents from different sources and in different formats;

[0100] The knowledge graph unit 62 is used to construct a knowledge graph;

[0101] The model repository unit 63 is used to integrate analysis models and algorithms;

[0102] The knowledge-answering unit 64 is used to provide accurate answers based on a knowledge base;

[0103] The knowledge recommendation unit 65 is used to recommend relevant knowledge content based on needs.

[0104] In this embodiment, the knowledge base module 6 collects documents from different sources and formats, including laws and regulations, standards and specifications, case studies, tactics and methods, fire fighting and rescue manuals, official documents, and historical cases, through the document aggregation unit 61. The knowledge graph unit 62 constructs a knowledge graph using semantic network technology to improve the relevance and understandability of knowledge. The model repository unit 63 integrates various analysis models and algorithms to provide a scientific basis for decision-making in complex situations. The knowledge question-answering unit 64 provides accurate answers based on the knowledge base, assisting users in quickly obtaining the information they need. The knowledge recommendation unit 65 automatically recommends relevant knowledge content based on user needs and rescue scenarios, improving the relevance and effectiveness of decision-making.

[0105] Beneficial effects:

[0106] 1. End-to-End Closed-Loop Management: The business flow module automates and intelligently manages business processes through the process engine unit, reducing manual intervention and improving efficiency. The node monitoring unit monitors the execution of business processes in real time, ensuring each node performs according to predetermined standards and promptly detecting anomalies. The anomaly handling unit ensures process continuity and stability through automatic alarm and repair mechanisms.

[0107] 2. Task Standardization and Collaboration: The Task Point Module categorizes tasks by function, urgency, and executing department through the Task Classification Unit. The Task Template Unit creates reusable task templates. The Task Chain Unit constructs the logical sequence and execution chain between tasks. The Conflict Resolution Unit formulates conflict resolution strategies during task execution to ensure effective coordination when resources are limited or situations are urgent.

[0108] 3. Instruction Standardization and Dynamic Adjustment: The instruction set module classifies instructions by function, execution stage, and permission level through the instruction classification unit, the instruction encoding unit formulates a unified instruction format, the task instruction mapping unit determines the mapping relationship between tasks and instructions, and the dynamic adjustment unit establishes a dynamic adjustment mechanism between tasks and instructions to flexibly adjust instructions according to actual conditions.

[0109] 4. Rapid Resource Allocation and Visualized Management: The resource circle module generates a list of required materials, equipment, and personnel through the demand list unit; the resource inventory unit retrieves the type, quantity, location, and status of all available resources; the GIS positioning unit uses a geographic information system to locate resources near the accident site; the route planning unit plans the best route based on real-time traffic data; the resource recommendation unit recommends the closest and most suitable resources; and the situation mapping unit integrates resource location, status, and task allocation into a GIS map to achieve visualized resource management.

[0110] 5. Multi-party collaborative operations and real-time feedback: The combat group module establishes combat groups composed of different rescue forces through the group creation unit, the responsibility definition unit clarifies the scope of responsibilities for each combat group, the force composition unit manages the forces of the combat group through programming, the location tracking unit uses positioning technology to track the real-time location of rescue forces within the combat group, the instruction receiving unit receives instructions from the command center, and the execution feedback unit feeds back the situation on the ground to the command center, realizing two-way information flow.

[0111] 6. Scientific Decision Support: The knowledge base module collects legal regulations, standards, case studies, and other documents from different sources and formats through the document aggregation unit. The knowledge graph unit uses semantic network technology to construct a knowledge graph, improving the relevance and understandability of knowledge. The model repository unit integrates various analytical models and algorithms to provide a scientific basis for decision-making in complex situations. The knowledge question answering unit provides accurate answers based on the knowledge base. The knowledge recommendation unit automatically recommends relevant knowledge content based on user needs and rescue scenarios, improving the pertinence and effectiveness of decision-making.

[0112] 7. Intelligent Dispatch Process, Visualized Force Deployment, and Precise Decision Support. Intelligent Dispatch Process: Drives the mission flow, enabling intelligent dispatch. Real-time monitoring of equipment location and status within the resource circle allows for automatic task reassignment, ensuring rescue operations dynamically adapt to changing scenarios. Visualized Force Deployment: Integrates data from the resource circle, combat groups, and mission points using a global situational map to create an intuitive real-time heatmap. Precise Decision Support: Utilizes a rule base within the knowledge base to simulate the effects of combat group actions under different command sets, providing data support for human decision-making. This component helps commanders make more precise decisions through intelligent analysis.

[0113] The above description is merely a preferred embodiment of a highly integrated intelligent fire command system of the present invention, and should not be construed as limiting the scope of the present invention. Those skilled in the art can understand that implementing all or part of the above embodiments and making equivalent changes in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A high-integration fire-fighting intelligent command system, characterized in that, The system comprises a business flow module, a task point module, an instruction set module, a resource circle module, a combat group module, and a knowledge base module. The business flow module is configured to drive the whole-process closed-loop management from receiving an alarm to summarizing a battle evaluation. The task point module is configured to decompose a fire rescue task into standard task modules and establish a relationship between tasks. The instruction set module is configured to serialize and standardize combat instructions and establish a mapping relationship between tasks and instructions. The resource circle module is configured to recommend nearby resources based on a GIS geographic information system and real-time traffic data and construct a three-dimensional support network. The combat group module is configured to construct a multi-party collaborative linkage matrix and form a visual force deployment. The knowledge base module is configured to collect and summarize laws, regulations, standards, and form a knowledge base to support decision-making.

2. The high-integration fire intelligent command system according to claim 1, wherein the business flow module comprises a process engine unit, a node monitoring unit, and an exception handling unit. The process engine unit is configured to drive the automatic execution and intelligent flow of a business process. The node monitoring unit is configured to monitor the whole business process in real time. The exception handling unit is configured to discover and handle exceptions in the process.

3. The high-integration fire intelligent command system according to claim 1, wherein the task point module comprises a task classification unit, a task template unit, a task chain unit, and a conflict resolution unit. The task classification unit is configured to classify tasks according to functions, emergency levels, and execution departments. The task template unit is configured to create reusable task templates. The task chain unit is configured to construct a logical sequence and an execution chain between tasks. The conflict resolution unit is configured to develop conflict resolution strategies in task execution.

4. The high-integration fire intelligent command system according to claim 1, wherein the instruction set module comprises an instruction classification unit, an instruction coding unit, a task instruction mapping unit, and a dynamic adjustment unit. The instruction classification unit is configured to classify instructions according to functions, execution stages, and permission levels. The instruction coding unit is configured to develop a unified instruction format. The task instruction mapping unit is configured to determine the mapping relationship between tasks and instructions. The dynamic adjustment unit is configured to establish a dynamic adjustment mechanism between tasks and instructions.

5. The high-integration fire intelligent command system according to claim 1, wherein the resource circle module comprises a demand list unit, a resource inventory unit, a GIS positioning unit, a path planning unit, a resource recommendation unit, and a situation mapping unit. The demand list unit is configured to generate a list of required materials, equipment, and personnel. The resource inventory unit is configured to retrieve the types, quantities, locations, and states of all available resources. The GIS positioning unit is configured to locate resources near the accident site. The path planning unit is configured to plan the best path in combination with real-time traffic data. The resource recommendation unit is configured to recommend the closest and most suitable resources. The situation mapping unit is configured to integrate resource locations, states, and task allocation situations into a GIS map. ​ ​ ​ ​ 6. The high-integration fire-fighting intelligent command system of claim 1, wherein the combat group module comprises a group establishment unit, a responsibility definition unit, a force formation unit, a position tracking unit, an instruction receiving unit and an execution feedback unit. The group establishment unit is configured to establish a combat group composed of different rescue forces. The responsibility definition unit is configured to define the responsibility range for each combat group. The force formation unit is configured to program and manage the forces of the combat group. The position tracking unit is configured to track the real-time position of the rescue forces in the combat group. The instruction receiving unit is configured to receive the instructions from the command center. The execution feedback unit is configured to feed back the on-site situation to the command center.

7. The high-integration fire-fighting intelligent command system of claim 1, wherein the knowledge base module comprises a document aggregation unit, a knowledge graph unit, a model warehouse unit, a knowledge question and answer unit and a knowledge recommendation unit. The document aggregation unit is configured to collect documents of different sources and formats. The knowledge graph unit is configured to construct a knowledge graph. The model warehouse unit is configured to integrate analysis models and algorithms. The knowledge question and answer unit is configured to provide accurate answers based on the knowledge base. The knowledge recommendation unit is configured to recommend relevant knowledge content according to the demand. ​ ​

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