Fire safety patrol task intelligent route method and system
By constructing a fire safety management network and dynamically planning inspection routes, the problems of rigid inspection routes and slow emergency response in existing technologies have been solved, realizing intelligent and efficient management of fire safety inspections.
Patent Information
- Application Number
- CN202511593571.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-03
- Publication Date
- 2026-02-03
AI Technical Summary
Existing fire safety inspection technologies suffer from rigid route planning, inflexible resource allocation, insufficient task priority handling capabilities, and a lack of systematic regional collaborative management, resulting in low inspection efficiency and slow emergency response.
By building a fire safety management network, inspection routes are dynamically planned. Combining real-time personnel location and geographic information, the optimal inspection routes are generated, and tasks are prioritized and resources are allocated in emergency situations, thereby achieving intelligent task allocation and emergency response.
It significantly improved inspection efficiency, shortened emergency response time, enhanced the system's intelligence and robustness, and achieved transparent management of the inspection process and optimized resource allocation.
Smart Images
Figure CN121453052A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of fire safety management technology, and in particular to an intelligent route method and system for fire safety patrol missions. Background Technology
[0002] Fire safety is a crucial component of public safety, and all types of commercial buildings, residential communities, and industrial plants require regular inspections of fire safety facilities and potential hazards. Traditional fire safety inspection management relies primarily on manual planning of inspection plans and routes. Inspection managers typically assign fixed areas and routes to each inspector based on experience, and record inspection results using paper forms. While simple and easy to implement, this method has several drawbacks.
[0003] Specifically, existing fire safety inspection technologies have at least the following shortcomings: 1. Rigid route planning and low efficiency: Existing systems mostly use fixed inspection routes, which cannot be optimized based on dynamic changes in project locations (such as the addition or removal of projects), the real-time geographical location of inspection personnel, and traffic conditions. This results in inspection routes that may not be optimal, with duplicate routes or coverage blind spots, leading to a waste of human resources and time, and low inspection efficiency.
[0004] 2. Inflexible resource allocation and slow response: In the event of emergencies such as fires, the existing system lacks an efficient and intelligent emergency response mechanism. It typically relies on manual notification and dispatch, making it difficult to promptly and accurately locate the nearest patrol personnel and the fastest route to the incident site, and also hindering the rapid allocation of surrounding fire-fighting supplies. This delayed response may lead to the escalation of the disaster and miss the optimal opportunity for intervention.
[0005] 3. Insufficient task priority handling capability: There is a fundamental difference in priority between routine inspection tasks and emergency handling tasks. Most existing systems lack effective task interruption and dynamic replanning mechanisms. When an emergency task occurs, the inability to quickly stop or replan the routine inspection routes of affected personnel may result in multiple inspection personnel being dispatched to the same emergency location, leaving inspection gaps in other areas, and the overall robustness and intelligence of the system being poor.
[0006] 4. Lack of systematic regional collaborative management: Existing solutions typically focus on task management for individual projects or individual inspectors, failing to integrate resources and coordinate scheduling from a macro perspective of the regional network. They cannot automatically merge adjacent or overlapping inspection areas through algorithms, nor can they achieve efficient task allocation across projects and personnel, resulting in efficiency bottlenecks in the fire monitoring network of the entire managed area.
[0007] Therefore, there is an urgent need in this field for an intelligent planning method for fire safety inspection tasks that can dynamically plan inspection routes, intelligently allocate tasks, and quickly respond to emergencies, in order to overcome the above-mentioned deficiencies of existing technologies. Summary of the Invention
[0008] The purpose of this invention is to overcome the shortcomings of the prior art and provide an intelligent route method and system for fire safety patrol tasks. It aims to provide a dynamic and adaptive intelligent route planning method for fire safety inspection tasks. Its innovation is mainly reflected in the systematic integration of physical area division, real-time personnel positioning, dynamic route generation and optimization for multiple task types (routine inspection and emergency handling), and resource scheduling, thereby solving the problems of rigid inspection routes, untimely response, and unreasonable resource allocation in the prior art.
[0009] To achieve the above objectives, this application proposes an intelligent route planning system for fire safety inspection tasks, comprising: The area management module is configured to create a fire safety management network covering all project locations by dividing the physical areas; The data acquisition module is configured to obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel's terminal. The task generation module is communicatively connected to the area management module and the data acquisition module, and is configured to dynamically generate inspection routes according to the task status, which includes daily inspection tasks and emergency handling tasks. The task generation module includes: The daily task planning submodule is configured to build a set of project points, perform regional intersection judgment and merging processing on the set of project points to optimize the route coverage, calculate the shortest path between points, generate the optimal inspection route in combination with real geographical environment information, and break down the optimal inspection route into several task sub-routes. The Emergency Task Dispatch submodule is configured to prioritize dispatching tasks to patrol personnel near the incident location when an emergency occurs, and gradually expand the dispatch range when personnel are insufficient. The communication module is configured to send task routes to the inspection personnel's terminal and receive task status feedback.
[0010] As a further solution, the daily task planning submodule is further configured to perform the region intersection judgment and merging process when executing the following: Divide the area using each project location as the center and a preset first radius. Determine whether there is any overlap between the regions; If an intersection exists, obtain the coordinates of the center point of the intersection region and replace the original point. Repeat the above operation until there are no overlapping areas in the set of points.
[0011] As a further solution, the daily task planning submodule is further configured to call a third-party map API when generating the optimal inspection route, so as to optimize the shortest path initially calculated by combining real geographical environmental factors.
[0012] As a further solution, the daily task planning submodule is further configured to divide the route into segments based on a preset length when splitting the route, and to set the start and end points for each sub-route.
[0013] As a further solution, the system also includes: The task time estimation module is connected to the daily task planning sub-module and is configured to estimate the execution time of each task sub-route based on historical task records or by calling a third-party map API.
[0014] As a further solution, the emergency task dispatch submodule is further configured to: When dispatching emergency response tasks, automatically obtain information on the nearest fire equipment storage locations around the incident location; The communication module notifies warehouse management personnel to dispatch equipment to the site.
[0015] As a further solution, the system also includes: The task scheduling and interruption module is connected to the task generation module and the communication module. It is configured to stop the current daily task and trigger the task generation module to regenerate the task route based on the latest location of the inspector when the inspector receives an emergency handling task during the execution of the daily inspection task.
[0016] As a further solution, the data acquisition module collects real-time geographic location data through an application integrated into the inspection personnel's terminal.
[0017] On the other hand, the present invention also provides an intelligent route planning method for fire safety inspection tasks, which is applied to an intelligent route planning system for fire safety inspection tasks as described in any of the preceding claims, and includes the following steps: A fire safety management network covering all project locations is formed by dividing physical areas; Obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel; Inspection routes are dynamically generated based on task status; task status includes routine inspection tasks and emergency handling tasks. When the task status is dynamically set to daily inspection task, the inspection route is generated through the following steps: Construct a set of project locations based on daily inspection needs; Perform regional intersection judgment and merging processing on the project location set to optimize the route coverage; Calculate the shortest path between points and generate the optimal inspection route by combining real geographic environment information; The optimal inspection route is divided into several task sub-routes, and task time is allocated to each sub-routes. When the task status is dynamically set to emergency handling, the inspection route is generated through the following steps: Acquire event locations and prioritize assigning tasks to patrol personnel near the event locations; Determine if there are enough dispatch personnel; if not, gradually expand the dispatch area until the demand is met. Locate the nearest fire equipment storage point to the incident location and dispatch supplies to support the scene.
[0018] Compared with related technologies, the intelligent route method and system for fire safety patrol missions provided by this invention have the following advantages: 1. This invention effectively eliminates duplicate inspection areas and coverage blind spots in the traditional fixed-route model by constructing a set of project locations and dynamically judging and merging regional intersections. By calculating the shortest path between locations and optimizing it with real geographic information, a globally optimal inspection route is generated. Subsequently, long routes are broken down into standardized task sub-segments, making task allocation more refined and balanced. These measures work together to significantly reduce the ineffective travel distance of inspection personnel, avoid resource waste, and thus greatly improve the overall efficiency of daily inspection work.
[0019] 2. In the face of sudden fire incidents, the emergency task dispatch mechanism of this invention can prioritize assigning tasks to the nearest available personnel based on the real-time geographical location of inspection personnel, and use a third-party map API to plan the optimal travel route, greatly shortening the emergency response time. Simultaneously, the system automatically associates with and dispatches the nearest fire equipment storage locations, ensuring that emergency supplies can arrive at the scene synchronously and quickly. This intelligent dispatch mechanism linking personnel and supplies buys valuable time for controlling the initial disaster and effectively improves safety management capabilities.
[0020] 3. This invention distinguishes between routine inspections and emergency response tasks, and establishes a clear priority interruption and replanning mechanism. When an emergency task occurs, the system can intelligently suspend the routine tasks of affected personnel and immediately generate a new handling route, ensuring that critical tasks are prioritized while maintaining the continuity of inspection work in other areas. This dynamic task management strategy enables the system to flexibly respond to various emergencies, demonstrating a high degree of intelligence and robustness.
[0021] 4. This invention's system segments inspection routes and matches them with estimated task times, enabling the management platform to quantitatively manage and rationally allocate the workload of inspection personnel. Inspection personnel can flexibly accept tasks based on their location, ensuring workload saturation while also granting them a degree of autonomy in work arrangements. For managers, the system provides transparent and refined management of the inspection process, task execution status, and personnel location, offering reliable data support for performance evaluation and optimal resource allocation. Attached Figure Description
[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0023] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.
[0024] Figure 1 A schematic diagram of an intelligent route system for fire safety patrol missions provided by the present invention; Figure 2 A schematic diagram illustrating the steps of an intelligent route method for fire safety patrol missions provided by the present invention.
[0025] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.
[0027] Example 1 Please see Figure 1 This embodiment provides an intelligent route planning system for fire safety inspection tasks, including: The area management module is configured to create a fire safety management network covering all project locations by dividing the physical areas; The data acquisition module is configured to obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel's terminal. The task generation module is communicatively connected to the area management module and the data acquisition module, and is configured to dynamically generate inspection routes according to the task status, which includes daily inspection tasks and emergency handling tasks. The task generation module includes: The daily task planning submodule is configured to build a set of project points, perform regional intersection judgment and merging processing on the set of project points to optimize the route coverage, calculate the shortest path between points, generate the optimal inspection route in combination with real geographical environment information, and break down the optimal inspection route into several task sub-routes. The Emergency Task Dispatch submodule is configured to prioritize dispatching tasks to patrol personnel near the incident location when an emergency occurs, and gradually expand the dispatch range when personnel are insufficient. The communication module is configured to send task routes to the inspection personnel's terminal and receive task status feedback.
[0028] It should be noted that this embodiment provides a specific implementation method for an intelligent route planning system for fire safety inspection tasks. Combined with... Figure 1 The system architecture diagram shown indicates that the system mainly includes an area management module, a data acquisition module, a task generation module, and a communication module. These modules can be deployed on a cloud server and interact with the smart terminals held by inspection personnel (such as mobile phones or tablets with a dedicated app installed) and third-party map service platforms via the Internet.
[0029] 1. Region Management Module This module forms the foundation for the system's macro-management. Administrators can manually draw or automatically generate multiple physical hosting areas on a Geographic Information System (GIS) map through the system backend. For example, a city can be divided into four major regions: East, West, South, and North, with each region serving as a fire safety hosting center. Each hosting center is responsible for managing all registered projects (such as commercial buildings, residential communities, and factories) within its geographical boundaries. This module establishes a hierarchical management network of "hosting center - project," providing a spatial framework for subsequent task planning.
[0030] 2. Data Acquisition Module This module is responsible for acquiring all the geographic location data required by the system.
[0031] Project location information collection: During project registration, the administrator enters the geographical coordinates of the project into the system and stores them in the project information database by using a map picker or by inputting precise latitude and longitude.
[0032] Real-time location data collection for inspection personnel: After logging into the mobile app, the inspection personnel will use the terminal's GPS or BeiDou positioning function to upload the location information to the server via the communication module at preset time intervals (e.g., every 5 minutes) or by binding the location information to specific events (e.g., task start / end). The data acquisition module parses and stores the received location data, providing a basis for real-time task dispatch.
[0033] 3. Task Generation Module This module is the intelligent core of the system, and it includes two key sub-modules: 3.1 Daily Task Planning Submodule This submodule runs automatically at regular intervals (e.g., every morning at midnight) to generate daily inspection tasks for each hosting center. Its workflow is as follows: Step S1: Construct an initial set of project locations. The system retrieves the coordinates of all project locations currently in the hosting center that are "enabled" from the database, forming an initial set Set_A.
[0034] Step S2: Region intersection judgment and merging optimization.
[0035] Furthermore, when performing the region intersection judgment and merging process, the daily task planning submodule is further configured to: Divide the area using each project location as the center and a preset first radius. Determine whether there is any overlap between the regions; If an intersection exists, obtain the coordinates of the center point of the intersection region and replace the original point. Repeat the above operation until there are no overlapping areas in the set of points.
[0036] The system constructs circular areas with each point in the set as the center and a radius of 3 kilometers (this is one example and can be adjusted according to city density). The algorithm then determines whether any two circular areas intersect. If they do intersect (e.g., point A and point B are only 4 kilometers apart), the coordinates of the center point of this intersection are calculated, and this center point is used as a new virtual inspection point. Simultaneously, points A and B are removed from Set_A. This process iterates until the distance between any two points in the set is greater than 6 kilometers (i.e., twice the radius, ensuring no intersection). The final optimized point set, Set_B, is obtained. This step effectively avoids generating duplicate routes in densely populated project areas.
[0037] Step S3: Generate the optimal inspection route.
[0038] Furthermore, when generating the optimal inspection route, the daily task planning submodule is further configured to call a third-party map API to optimize the initially calculated shortest path by combining real geographical environmental factors.
[0039] The system uses graph theory algorithms (such as Dijkstra's algorithm or A* algorithm) to calculate the shortest path traversing all points in Set_B, forming a preliminary theoretical optimal route. Next, the system calls the route planning API of Amap or Baidu Maps, taking the preliminary route's point sequence as input, and requests a practically feasible optimal route that considers real-time traffic conditions, road classification, traffic lights, traffic restrictions, and other real-world geographical factors.
[0040] Step S4: Task breakdown and time estimation.
[0041] Furthermore, when splitting routes, the daily task planning submodule is further configured to divide the route into segments based on a preset length, and to set a starting point and an ending point for each sub-route.
[0042] Furthermore, the system also includes: The task time estimation module is connected to the daily task planning sub-module and is configured to estimate the execution time of each task sub-route based on historical task records or by calling a third-party map API.
[0043] The system divides the optimal inspection route into standard 6-kilometer segments. Each segment is treated as an independent "daily inspection task," with clearly marked start and end points. The system estimates the time required for each task based on the average time for similar tasks in the past. If no historical data is available, the system uses the map API to obtain the baseline driving time for that segment and multiplies it by a factor of 1.5 (to account for stopping, inspection, etc.), ultimately generating a task list with estimated times.
[0044] 3.2 Emergency Task Dispatch Submodule This submodule is triggered when the monitoring platform receives a fire alarm or other emergency event.
[0045] Furthermore, the emergency task dispatch submodule is further configured to: When dispatching emergency response tasks, automatically obtain information on the nearest fire equipment storage locations around the incident location; The communication module notifies warehouse management personnel to dispatch equipment to the site.
[0046] Step E1: Prioritize dispatching tasks based on proximity. The system first obtains the coordinates of the project location where the incident occurred. Then, it queries all inspection personnel currently performing routine inspection tasks for that project or adjacent projects (within 3 kilometers of the incident location) and pushes the highest priority emergency task notification to their terminal APP via the communication module.
[0047] Step E2: Dynamically Expand Dispatch Area. If the system estimates the required number of personnel (which can be preset according to the event level) is greater than the currently available personnel, the dispatch area will be automatically expanded to all inspection personnel within 6 kilometers of the event point (including personnel currently performing tasks and those on standby). If this is still not sufficient, the area will be expanded to 9 kilometers, and so on, until enough personnel are found or the maximum radius set by the system is reached.
[0048] Step E3: Material Coordination and Dispatch. While assigning personnel tasks, the system automatically queries the "Fire Equipment Warehouse Database" to find the two warehouse locations closest to the incident point, and sends equipment dispatch instructions to the warehouse administrator's terminal via the communication module. The instructions include the incident location and the optimal transportation route.
[0049] 4. Communication Module This module is implemented based on the HTTPS protocol and WebSocket long-connection technology. It is responsible for reliably pushing task instructions and route information generated by the task generation module to the inspection personnel's APP, and receiving task status (such as "accepted", "in progress", "completed"), on-site photos, inspection data, etc. from the APP. At the same time, it is also responsible for data requests and responses with third-party map APIs.
[0050] Furthermore, the system also includes: The task scheduling and interruption module is connected to the task generation module and the communication module. It is configured to stop the current daily task and trigger the task generation module to regenerate the task route based on the latest location of the inspector when the inspector receives an emergency handling task during the execution of the daily inspection task.
[0051] Through the above embodiments, this system realizes intelligent, dynamic and precise management of fire safety inspections, effectively improving inspection efficiency and emergency response capabilities.
[0052] Example 2 Please see Figure 2 Based on Example 1, this embodiment also provides an intelligent route planning method for fire safety inspection tasks, including the following steps: A fire safety management network covering all project locations is formed by dividing physical areas; Obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel; Inspection routes are dynamically generated based on task status; task status includes routine inspection tasks and emergency handling tasks. When the task status is dynamically set to daily inspection task, the inspection route is generated through the following steps: Construct a set of project locations based on daily inspection needs; Perform regional intersection judgment and merging processing on the project location set to optimize the route coverage; Calculate the shortest path between points and generate the optimal inspection route by combining real geographic environment information; The optimal inspection route is divided into several task sub-routes, and task time is allocated to each sub-routes. When the task status is dynamically set to emergency handling, the inspection route is generated through the following steps: Acquire event locations and prioritize assigning tasks to patrol personnel near the event locations; Determine if there are enough dispatch personnel; if not, gradually expand the dispatch area until the demand is met. Locate the nearest fire equipment storage point to the incident location and dispatch supplies to support the scene.
[0053] A brief overview of the workflow of the method provided in this embodiment: After an inspection personnel logs into the APP in the morning, the communication module reports their location. The system, through the data acquisition module, learns that the personnel are located near a certain business district, and then pushes a daily inspection task with a starting point also in that business district to the personnel via the communication module. After the inspection personnel accepts the task, the APP navigation interface displays the optimal route generated by the daily task planning submodule. While the personnel are performing the task, a fire alarm suddenly goes off in a nearby building, and the emergency task dispatch submodule immediately sends a pop-up emergency task to the personnel's APP via the communication module. After the personnel confirms acceptance of the task, their current daily task is automatically paused by the system, and the APP navigation route immediately switches to the fastest path to the building with the fire alarm.
[0054] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the content of this application specification and drawings, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.
Claims
1. An intelligent route planning system for fire safety inspection tasks, characterized in that, include: The area management module is configured to create a fire safety management network covering all project locations by dividing the physical areas; The data acquisition module is configured to obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel's terminal. The task generation module is communicatively connected to the area management module and the data acquisition module, and is configured to dynamically generate inspection routes according to the task status, which includes daily inspection tasks and emergency handling tasks. The task generation module includes: The daily task planning submodule is configured to build a set of project points, perform regional intersection judgment and merging processing on the set of project points to optimize the route coverage, calculate the shortest path between points, generate the optimal inspection route in combination with real geographical environment information, and break down the optimal inspection route into several task sub-routes. The Emergency Task Dispatch submodule is configured to prioritize dispatching tasks to patrol personnel near the incident location when an emergency occurs, and gradually expand the dispatch range when personnel are insufficient. The communication module is configured to send task routes to the inspection personnel's terminal and receive task status feedback.
2. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, When performing the region intersection judgment and merging process, the daily task planning submodule is further configured to: Divide the area using each project location as the center and a preset first radius. Determine whether there is any overlap between the regions; If an intersection exists, obtain the coordinates of the center point of the intersection region and replace the original point. Repeat the above operation until there are no overlapping areas in the set of points.
3. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, When generating the optimal inspection route, the daily task planning submodule is further configured to call a third-party map API to optimize the initially calculated shortest path by combining real geographical environmental factors.
4. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, When splitting routes, the daily task planning submodule is further configured to divide the route into segments based on a preset length, and to set a starting point and an ending point for each sub-route.
5. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, The system also includes: The task time estimation module is connected to the daily task planning sub-module and is configured to estimate the execution time of each task sub-route based on historical task records or by calling a third-party map API.
6. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, The emergency task dispatch submodule is further configured to: When dispatching emergency response tasks, automatically obtain information on the nearest fire equipment storage locations around the incident location; The communication module notifies warehouse management personnel to dispatch equipment to the site.
7. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, The system also includes: The task scheduling and interruption module is connected to the task generation module and the communication module. It is configured to stop the current daily task and trigger the task generation module to regenerate the task route based on the latest location of the inspector when the inspector receives an emergency handling task during the execution of the daily inspection task.
8. The intelligent route planning system for fire safety inspection tasks according to claim 1, characterized in that, The data acquisition module collects real-time geographic locations through an application integrated into the inspection personnel's terminal.
9. A method for intelligent route planning for fire safety inspection tasks, applied to an intelligent route planning system for fire safety inspection tasks as described in any one of claims 1 to 8, characterized in that, Includes the following steps: A fire safety management network covering all project locations is formed by dividing physical areas; Obtain the geographical location of each project site and collect the real-time geographical location of the inspection personnel; Inspection routes are dynamically generated based on task status; task status includes routine inspection tasks and emergency handling tasks. When the task status is dynamically set to daily inspection task, the inspection route is generated through the following steps: Construct a set of project locations based on daily inspection needs; Perform regional intersection judgment and merging processing on the project location set to optimize the route coverage; Calculate the shortest path between points and generate the optimal inspection route by combining real geographic environment information; The optimal inspection route is divided into several task sub-routes, and task time is allocated to each sub-routes. When the task status is dynamically set to emergency handling, the inspection route is generated through the following steps: Acquire event locations and prioritize assigning tasks to patrol personnel near the event locations; Determine if there are enough dispatch personnel; if not, gradually expand the dispatch area until the demand is met. Locate the nearest fire equipment storage point to the incident location and dispatch supplies to support the scene.