Real-time planning and visualization method and system for optimal path of fire maintenance

Abstract

The application relates to the technical field of path planning, and discloses a real-time planning and visualization method and system for a fire-fighting maintenance optimal path, which comprises the following steps: superimposing a fire-fighting fault equipment occurrence site as a first position coordinate and a resource point in a maintenance team as a second position coordinate to an electronic map to obtain an initial navigation path of the maintenance team; according to real-time traffic information, the initial navigation path is constrained to obtain a path planning rule; based on the path planning rule, path optimization is performed on the initial navigation path to obtain a dynamic optimal path; according to the dynamic optimal path, a multistage path guidance instruction and a visual path layer are generated; the visual path layer and the electronic map are dynamically rendered to obtain a real-time navigation interface; and according to the real-time navigation interface and the path guidance instruction, real-time navigation guidance is provided for the maintenance team; and the application can improve the accuracy of reference information generation of real-time planning and visualization of a fire-fighting maintenance optimal path.

Description

Technical Field

[0001] This invention relates to the field of path planning technology, and in particular to a real-time planning and visualization method and system for optimal fire protection maintenance paths. Background Technology

[0002] In the field of optimal route planning for fire maintenance dispatch, existing technologies lack sufficient accuracy in handling location coordinates and route constraints. Traditional methods, when overlaying the coordinates of the location of the fire-fighting equipment failure and the maintenance resource point onto an electronic map, fail to verify the consistency of coordinate formats or perform standardized corrections for coordinate deviations, resulting in spatial misalignment issues in the initial navigation path. When constraining routes with real-time traffic information, they simply avoid congested areas without extracting real-time traffic parameters of the route segment for state level assessment or integrating path connectivity and priority rules to form a systematic route planning rule. This makes route optimization lack a scientific basis, making it difficult to generate dynamically optimal routes that conform to real-time traffic conditions, thus affecting the timeliness of fire maintenance dispatch.

[0003] Existing technologies have significant shortcomings in route visualization and real-time navigation guidance. When generating visualized route layers, the geometric attributes of the route, traffic conditions, and electronic map base data are not fully integrated for symbolic matching, resulting in a lack of hierarchy and clarity in the layer display. During dynamic rendering, no layer rendering priority strategy is established, and visual verification and parameter correction are not performed on abnormal display areas, leading to rendering errors in the real-time navigation interface. Furthermore, when providing navigation guidance, the route guidance instructions are not dynamically associated and mapped with the geographical elements of the real-time navigation interface, and time-sequential guidance instructions are not generated based on the real-time location changes of the repair team. This causes the navigation guidance to become disconnected from the actual driving scenario, failing to provide accurate and continuous navigation support for the repair team. Summary of the Invention

[0004] This invention provides a real-time planning and visualization method and system for optimal fire protection maintenance routes to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a real-time planning and visualization method for optimal fire protection maintenance paths, comprising:

[0006] S1. Overlay the location of the fire-fighting equipment failure as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto the electronic map to obtain the initial navigation path of the maintenance team;

[0007] S2. Based on real-time traffic information, constrain the initial navigation path to obtain the path planning rules for the maintenance team;

[0008] S3. Based on the path planning rules, perform path optimization on the initial navigation path to obtain the dynamic optimal path for the maintenance team;

[0009] S4. Based on the dynamic optimal path, generate multi-level path guidance instructions and a visual path layer for the maintenance team;

[0010] S5. Dynamically render the visualized path layer and the electronic map to obtain the real-time navigation interface of the maintenance team;

[0011] S6. Provide real-time navigation guidance to the maintenance team based on the real-time navigation interface and the path guidance instructions.

[0012] In a preferred embodiment, the step of overlaying the location of the fire-fighting equipment malfunction as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto an electronic map to obtain the initial navigation path of the maintenance team includes:

[0013] Obtain the first location coordinates of the fire-fighting equipment failure site and the second location coordinates of the resource points in the maintenance team;

[0014] Verify the consistency of the formats of the first and second location coordinates to obtain the reasonable range of the electronic map;

[0015] Based on the reference geographic points within the reasonable range, the coordinates that deviate between the first location coordinates and the second location coordinates are standardized and corrected to obtain the corrected first location coordinates and the corrected second location coordinates.

[0016] The corrected first position coordinates and the corrected second position coordinates are superimposed on the electronic map to obtain the initial navigation path of the maintenance team.

[0017] In a preferred embodiment, the step of constraining the initial navigation path based on real-time traffic information to obtain the route planning rules for the maintenance team includes:

[0018] By analyzing real-time traffic information, traffic congestion areas and traffic event areas can be obtained from the electronic map.

[0019] Based on the traffic congestion area and the traffic event area, the traffic status identification data of the electronic map is obtained;

[0020] Based on the traffic status identification data, the initial navigation path is filtered to obtain the optimized path segment sequence of the maintenance team;

[0021] The path connectivity rules and priority rules in the optimized path segment sequence are integrated into the path planning rules of the maintenance team.

[0022] In a preferred embodiment, the step of filtering the initial navigation path based on the traffic status indicator data to obtain the optimized path segment sequence for the maintenance team includes:

[0023] Based on the traffic status identification data, extract the real-time traffic parameters of the path segments in the initial navigation path;

[0024] The real-time traffic parameters are evaluated for status levels to obtain the traffic status evaluation result of the initial navigation path;

[0025] The traffic status assessment results are used to filter routes to obtain a preliminary set of route segments for the maintenance team;

[0026] Perform path connectivity analysis on the initial path segment set to obtain the intermediate path segment set of the maintenance team;

[0027] Based on the real-time task attributes of the maintenance team, the intermediate path segment set is dynamically prioritized to obtain the multi-level path segment sequence of the maintenance team.

[0028] Based on the multi-level path segment sequence, the geometric attributes and traffic flow trends of the path segments in the real-time traffic information are integrated to obtain the optimized path segment sequence of the maintenance team.

[0029] In a preferred embodiment, the step of optimizing the initial navigation path based on the path planning rules to obtain the dynamic optimal path for the maintenance team includes:

[0030] Based on the path planning rules, the traffic efficiency of the path segments in the initial navigation path is evaluated to obtain the real-time weight set of the path segments of the initial navigation path;

[0031] Based on the real-time weight set of the path segments, the key decision nodes in the initial navigation path are reorganized into path segments to obtain a candidate path set for the initial navigation path.

[0032] The overall coherence of the candidate path set is verified to obtain the effective candidate paths for the maintenance team.

[0033] Based on the real-time location and task progress of the maintenance team, the effective candidate paths are dynamically and adaptively adjusted to obtain the dynamic optimal path for the maintenance team.

[0034] In a preferred embodiment, generating the multi-level path guidance instructions and visual path layer for the maintenance team based on the dynamic optimal path includes:

[0035] The path structure of the dynamic optimal path is analyzed to obtain the key navigation nodes and path segments of the dynamic optimal path.

[0036] The key navigation nodes and the path segments are combined into a set of path guidance elements for the dynamic optimal path;

[0037] The path guidance element set is parsed to obtain the multi-level path guidance instructions for the maintenance team;

[0038] Based on the visualization parameters of geometric attributes and traffic conditions in the dynamic optimal path, generate the path visualization elements of the dynamic optimal path;

[0039] The symbolic path data of the maintenance team is obtained by symbolically matching the path visualization elements with the base map data of the electronic map.

[0040] The symbolic path data is hierarchically fused to obtain the visual path layer of the maintenance team.

[0041] In a preferred embodiment, the step of dynamically rendering the visualized path layer and the electronic map to obtain the real-time navigation interface of the repair team includes:

[0042] Based on the display attributes of the visualized path layer and the real-time rendering requirements of the electronic map, a layer rendering priority strategy for the dynamic optimal path is established.

[0043] Based on the layer rendering priority strategy, the visualization path layer and the electronic map are rendered synchronously to obtain the composite navigation screen of the maintenance team.

[0044] Visual verification is performed on the abnormal display areas of the synthesized navigation screen to obtain the navigation screen to be corrected by the repair team;

[0045] The rendering parameters of the navigation screen to be corrected are dynamically adjusted to obtain the optimized navigation screen of the repair team.

[0046] The optimized navigation screen is used as the real-time navigation interface for the repair team.

[0047] In a preferred embodiment, the step of synchronously rendering and scheduling the visualized path layer and the electronic map based on the layer rendering priority strategy to obtain the composite navigation screen of the maintenance team includes:

[0048] Based on the layer rendering priority strategy, extract the real-time rendering weight factor of the path segment in the visualization path layer;

[0049] The real-time rendering weight factor is determined by the relative distance between the path segment and the maintenance team and the criticality level of the path segment in the dynamic optimal path.

[0050] Based on the real-time rendering weight factor, the rendering priority of the path segment is calculated, wherein the formula for calculating the rendering priority is:

[0051] ;

[0052] In the formula, For the first Rendering priority of each path segment The weighting coefficient for the relative distance is... The distance factor is the relative distance. The weighting coefficient for the key level is... The key level factor is the key level of the key level. This is the urgency gain factor for the path segment. This is the real-time urgency assessment value for the path segment;

[0053] Based on the rendering priority, the visualization path layer is parsed hierarchically to obtain the sub-layer rendering data of the maintenance team;

[0054] The sub-layer rendering data and the data of the electronic map are fused pixel by pixel to obtain the composite navigation screen of the maintenance team.

[0055] In a preferred embodiment, providing real-time navigation guidance to the repair team based on the real-time navigation interface and the route guidance instructions includes:

[0056] The multi-level path guidance instructions are dynamically associated and mapped with the geographical elements in the real-time navigation interface to obtain the guidance information set of the real-time navigation interface.

[0057] Based on the real-time geographical location changes of the maintenance team, the applicable path guidance instructions in the guidance information set are selected to obtain the time-sequential guidance instruction sequence of the maintenance team.

[0058] The time-sequential guidance instruction sequence is spatially synchronized and calibrated with the real-time navigation interface to obtain the optimized navigation guidance content of the real-time navigation interface;

[0059] Based on the optimized navigation guidance content, real-time navigation guidance is provided to the maintenance team.

[0060] To address the aforementioned problems, this invention also provides a real-time planning and visualization system for optimal fire protection maintenance routes, the system comprising:

[0061] The initial path construction module is used to overlay the location of the fire-fighting equipment failure as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto the electronic map to obtain the initial navigation path of the maintenance team.

[0062] A path planning module is established to constrain the initial navigation path based on real-time traffic information and obtain the path planning rules for the maintenance team.

[0063] The optimal path determination module is used to perform path optimization on the initial navigation path based on the path planning rules to obtain the dynamic optimal path of the maintenance team.

[0064] The visualization generation module is used to generate multi-level path guidance instructions and a visualization path layer for the maintenance team based on the dynamic optimal path.

[0065] The real-time navigation module is used to dynamically render the visualized path layer and the electronic map to obtain the real-time navigation interface of the maintenance team.

[0066] The navigation guidance module is used to provide real-time navigation guidance to the maintenance team based on the real-time navigation interface and the path guidance instructions.

[0067] Compared with the prior art, the present invention has the following beneficial effects:

[0068] 1. This invention, through its provided method and system for real-time planning and visualization of optimal routes for fire maintenance dispatch, significantly improves the efficiency of optimal route planning and the quality of reference information generation. The technology first verifies the consistency of the coordinate formats of the fire equipment failure location and maintenance resource points, correcting coordinate deviations using benchmark geographic points to ensure the accuracy and correctness of the initial navigation path overlaid on the electronic map. Next, it analyzes real-time traffic information to extract real-time parameters of the route segments, and optimizes the route segment sequence through state evaluation, connectivity analysis, and priority assignment. This is integrated to form the system's route planning rules. Based on these rules, the initial path is weighted, reorganized, and dynamically adjusted to generate a dynamically optimal route that aligns with real-time traffic and task progress, making route planning more scientific and timely.

[0069] 2. This invention generates multi-level path guidance instructions by analyzing key nodes and segments based on dynamic optimal path analysis. It also integrates path geometric attributes, traffic conditions, and electronic map base maps to construct a visual path layer. By establishing a rendering priority strategy and calculating the rendering priority of path segments using formulas, it achieves pixel-level fusion rendering of the layer and the electronic map. After visual verification and parameter correction, a clear and accurate real-time navigation interface is obtained. Furthermore, it dynamically associates guidance instructions with interface geographic elements, generating a time-sequential guidance sequence based on the real-time location of the maintenance team and calibrating it synchronously. This provides continuous and accurate navigation support for the maintenance team, effectively improving the overall efficiency and reliability of fire maintenance dispatch. Attached Figure Description

[0070] Figure 1A flowchart illustrating a real-time planning and visualization method for optimal fire protection maintenance paths provided in an embodiment of the present invention;

[0071] Figure 2 A functional block diagram of a real-time planning and visualization system for optimal fire maintenance routes provided in an embodiment of the present invention;

[0072] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0073] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0074] This application provides a real-time planning and visualization method for optimal fire protection maintenance paths. The execution entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the real-time planning and visualization method for optimal fire protection maintenance paths can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0075] Reference Figure 1 The diagram shown is a flowchart illustrating a real-time planning and visualization method for optimal fire maintenance paths according to an embodiment of the present invention. In this embodiment, the real-time planning and visualization method for optimal fire maintenance paths includes:

[0076] S1. Overlay the location of the fire-fighting equipment failure as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto the electronic map to obtain the initial navigation path of the maintenance team;

[0077] In this embodiment of the invention, the step of overlaying the location of the fire-fighting equipment malfunction as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto an electronic map to obtain the initial navigation path of the maintenance team includes:

[0078] Obtain the first location coordinates of the fire-fighting equipment failure site and the second location coordinates of the resource points in the maintenance team;

[0079] Verify the consistency of the formats of the first and second location coordinates to obtain the reasonable range of the electronic map;

[0080] Based on the reference geographic points within the reasonable range, the coordinates that deviate between the first location coordinates and the second location coordinates are standardized and corrected to obtain the corrected first location coordinates and the corrected second location coordinates.

[0081] The corrected first position coordinates and the corrected second position coordinates are superimposed on the electronic map to obtain the initial navigation path of the maintenance team.

[0082] Specifically, when obtaining the first location coordinates of the fire-fighting equipment failure site and the second location coordinates of the resource points in the maintenance team, the latitude and longitude of the fire-fighting equipment failure site are determined by receiving satellite signals through the geographic information acquisition equipment of the maintenance team and output as the first location coordinates. The pre-stored latitude and longitude data of the schedulable resource points are retrieved from the resource management system as the second location coordinates, ensuring that the two types of coordinates can be directly used for electronic map overlay.

[0083] Furthermore, when verifying the consistency of the formats of the first and second location coordinates to obtain a reasonable range for the electronic map, first confirm whether the two types of coordinates are in the same standard latitude and longitude format. If they are inconsistent, convert them to a unified format. Then, determine the geographical coverage area and extend the buffer distance based on the coordinates in the unified format to form a reasonable range that includes the two locations and their surrounding environment.

[0084] Furthermore, when correcting the deviation coordinates based on a reasonable range of reference geographic points to obtain the corrected two types of coordinates, three or more evenly distributed known fixed landmarks are selected as reference geographic points. The distance deviation between the two types of coordinates and the reference points is calculated to determine the direction and degree of deviation. The deviation values ​​are adjusted with reference to the standard coordinates of the reference points to obtain the corrected first position coordinates and the corrected second position coordinates.

[0085] Furthermore, when overlaying the corrected coordinates of the two types onto the electronic map to obtain the initial navigation path of the maintenance team, the corrected coordinates are input within a reasonable range of the electronic map and the locations of the two places are marked. The map route planning function is invoked to generate a continuous route with the resource point as the starting point and the location of the fire equipment failure as the ending point, combined with road and traffic restriction information. This route is the initial navigation path.

[0086] In summary, accurate coordinate acquisition lays a reliable data foundation for the initial navigation path: the geographic information acquisition equipment equipped by the maintenance team receives satellite signals to determine the latitude and longitude of the location of the fire-fighting equipment failure and outputs the first location coordinates. The pre-stored latitude and longitude data of schedulable resource points are retrieved from the resource management system as the second location coordinates. Geographic coordinate data that can be used for electronic map overlay can be directly obtained, avoiding deviations in subsequent path planning due to non-standard coordinate sources, and ensuring the accuracy and usability of the initial coordinate data.

[0087] In summary, ensuring a consistent coordinate format and clearly defining the reasonable range of the electronic map are crucial: verifying the consistency of the coordinate formats of the first and second locations, and uniformly converting inconsistent formats, can avoid the problem of coordinates not being able to be properly overlaid on the electronic map due to format differences; at the same time, determining the geographical coverage area based on the unified coordinate format and expanding the buffer distance to form a reasonable range can fully present the geographical environment around the location of the fire-fighting equipment failure and the resource point, providing a clear geographical boundary for subsequent coordinate correction and route planning, and reducing the interference of irrelevant areas on route planning.

[0088] In summary, correcting coordinate deviations and improving the matching degree between coordinates and electronic maps involves using known fixed landmarks evenly distributed within a reasonable range as reference geographical points. The distance deviation between the two types of coordinates and the reference points is calculated to determine the direction and degree of deviation. Then, the deviation values ​​are adjusted with reference to the standard coordinates of the reference points. This can correct errors that may occur during the coordinate acquisition process, so that the corrected first and second position coordinates can accurately correspond to the actual geographical locations in the electronic map, avoiding the problem of path planning not matching the actual geographical situation due to coordinate deviations.

[0089] In summary, generating an accurate initial navigation path provides a high-quality starting point for subsequent path optimization: by overlaying the corrected coordinates of the two types onto the electronic map and marking the locations of the two places, and by calling the map path planning function to generate a continuous route as the initial navigation path in combination with road and traffic restriction information, it can ensure that the initial navigation path conforms to the actual road traffic conditions, reduce a lot of subsequent optimization work caused by unreasonable initial paths, and provide an accurate and feasible basic path for path constraints and optimization based on real-time traffic information.

[0090] S2. Based on real-time traffic information, constrain the initial navigation path to obtain the path planning rules for the maintenance team;

[0091] In this embodiment of the invention, the step of constraining the initial navigation path based on real-time traffic information to obtain the route planning rules for the maintenance team includes:

[0092] By analyzing real-time traffic information, traffic congestion areas and traffic event areas can be obtained from the electronic map.

[0093] Based on the traffic congestion area and the traffic event area, the traffic status identification data of the electronic map is obtained;

[0094] Based on the traffic status identification data, the initial navigation path is filtered to obtain the optimized path segment sequence of the maintenance team;

[0095] The path connectivity rules and priority rules in the optimized path segment sequence are integrated into the path planning rules of the maintenance team.

[0096] The step of filtering path segments on the initial navigation path based on the traffic status indicator data to obtain the optimized path segment sequence for the maintenance team includes:

[0097] Based on the traffic status identification data, extract the real-time traffic parameters of the path segments in the initial navigation path;

[0098] The real-time traffic parameters are evaluated for status levels to obtain the traffic status evaluation result of the initial navigation path;

[0099] The traffic status assessment results are used to filter routes to obtain a preliminary set of route segments for the maintenance team;

[0100] Perform path connectivity analysis on the initial path segment set to obtain the intermediate path segment set of the maintenance team;

[0101] Based on the real-time task attributes of the maintenance team, the intermediate path segment set is dynamically prioritized to obtain the multi-level path segment sequence of the maintenance team.

[0102] Based on the multi-level path segment sequence, the geometric attributes and traffic flow trends of the path segments in the real-time traffic information are integrated to obtain the optimized path segment sequence of the maintenance team.

[0103] Specifically, when parsing real-time traffic information to obtain traffic congestion areas and traffic event areas in the electronic map, the system connects to the real-time traffic data interface of the traffic management department to obtain the real-time traffic speed, vehicle density, and traffic event records of each road within the coverage area of ​​the electronic map. Road segments with real-time traffic speeds lower than a preset proportion of the road's designed traffic speed are marked as traffic congestion areas. Traffic event areas are determined and marked based on the location, type, and scope of impact of traffic event records.

[0104] Furthermore, when obtaining traffic status identification data for the electronic map based on traffic congestion areas and traffic incident areas, exclusive identification symbols are set for different traffic states. Traffic congestion areas are marked with solid red, traffic incident areas are marked with flashing yellow, and normal traffic areas are marked with hollow green. The coordinate range of each area is associated with the corresponding identification symbol to generate structured data containing area coordinates, status type, and identification symbol, i.e., traffic status identification data.

[0105] Furthermore, based on traffic status sign data, the initial navigation path is filtered to obtain the optimized route segment sequence for the maintenance team. The initial navigation path is divided into multiple continuous route segments according to road intersections. The coordinate range of each route segment is recorded and matched with the regional coordinate range in the traffic status sign data. Valid route segments that do not overlap with traffic congestion areas or traffic event areas are selected and arranged in the initial order to form the optimized route segment sequence.

[0106] Furthermore, when integrating the path connectivity rules and priority rules in the optimized path segment sequence into the maintenance team's path planning rules, the connection relationship between adjacent path segments is extracted. It is determined that the end point of the previous segment and the starting point of the next segment must be at the same intersection and conform to the direction of traffic, thus forming a path connectivity rule. Priority is determined based on road grade and real-time traffic speed, with higher-grade and faster path segments having higher priority, thus forming a priority rule. The two types of rules are combined into a path planning rule that includes connection requirements and priority selection.

[0107] Specifically, when extracting real-time traffic parameters of path segments in the initial navigation path based on traffic status sign data, all path segments included in the initial navigation path are determined. Information corresponding to each path segment is retrieved from the traffic status sign data, and the real-time traffic speed, vehicle density, and degree of impact of traffic events of each path segment are extracted. This information together constitutes the real-time traffic parameters.

[0108] Furthermore, a status level assessment is performed on real-time traffic parameters to obtain the traffic status assessment results for the initial navigation path. Three levels are set: smooth, slow, and congested. Smooth traffic is defined as real-time traffic speed exceeding 80% of the road design speed, with low vehicle density and no traffic incidents. Slow traffic is defined as real-time traffic speed between 50% and 80% of the road design speed, with moderate vehicle density and no serious traffic incidents. Congested traffic is defined as real-time traffic speed below 50% of the road design speed, with high vehicle density and traffic incidents. The assessment results of each route segment are then summarized to form the traffic status assessment results.

[0109] Furthermore, when the traffic condition assessment results are used to screen routes and obtain the initial set of route segments for the maintenance team, the route segments assessed as smooth or slow are retained, while the congested route segments are removed. The retained route segments are then organized to form the initial set of route segments.

[0110] Furthermore, a path connectivity analysis is performed on the preliminary path segment set to obtain the intermediate path segment set of the maintenance team. The connection status of each path segment in the preliminary path segment set is checked to confirm whether the end point of the previous segment and the starting point of the next segment are in the same location and whether the connection direction conforms to the traffic rules. The disconnected parts are adjusted, and connectable path segments are added or disconnected parts are removed to form a continuous and connected intermediate path segment set.

[0111] Furthermore, based on the real-time task attributes of the maintenance team, dynamic priority is assigned to the intermediate path segment set to obtain the multi-level path segment sequence of the maintenance team. According to the urgency and type of the task, the path segments with wide roads and fast passage are assigned the highest priority, ordinary roads with average passage speed are assigned medium priority, and narrow roads with slow passage are assigned low priority. The multi-level path segment sequence is formed by sorting the paths according to their priority.

[0112] Furthermore, based on the multi-level path segment sequence, the geometric attributes and traffic flow trends of the path segments in real-time traffic information are integrated to obtain the optimized path segment sequence for the maintenance team. The geometric attributes of the path segments include length, turning angle, and road curvature, and the traffic flow trends include the increase or decrease in traffic flow in the next half hour. Path segments with good geometric attributes and decreasing traffic flow in the multi-level path segment sequence are prioritized and placed at the front end, thus forming a continuous, efficient, and traffic-trend-compliant optimized path segment sequence.

[0113] In summary, analyzing real-time traffic information to identify congestion and event areas can accurately identify key areas affecting traffic flow on electronic maps, providing clear targets for subsequent traffic status indicators and route selection, and avoiding the problem of low traffic efficiency caused by the initial navigation route failing to avoid abnormal traffic areas.

[0114] In summary, traffic status identification data is generated based on congestion and event areas. Different traffic states are distinguished by exclusive symbols, making the traffic situation on the electronic map intuitive and clear. This provides a visual and reliable judgment standard for route segment selection, reducing subjective errors in the selection process.

[0115] In summary, by filtering initial navigation route segments based on traffic status sign data, route segments affected by traffic anomalies can be eliminated, while effective route segments with smooth or slow traffic can be retained to form an optimized route segment sequence. This ensures that route segments have basic traffic conditions and improves the feasibility and timeliness of the routes.

[0116] In summary, integrating connectivity and priority rules in the path segment sequence to form path planning rules clarifies path connection requirements and selection priorities, providing a systematic and scientific basis for subsequent initial navigation path optimization, and avoiding path selection chaos due to missing rules during the optimization process.

[0117] In summary, extracting real-time traffic parameters from route segments can accurately obtain key information such as traffic speed and vehicle density for each segment of the initial navigation route from traffic status sign data, providing objective data support for subsequent traffic status assessment and avoiding assessment bias caused by relying solely on subjective judgment.

[0118] In summary, assessing the status level of real-time traffic parameters and classifying them into smooth, slow, and congested levels can clearly define the traffic capacity of each route segment, provide clear standards for route selection, ensure that the selected route segments meet basic traffic needs, and reduce the impact of inefficient routes on scheduling efficiency.

[0119] In summary, after a preliminary set of path segments is formed based on the evaluation results, connectivity analysis is used to remove broken or incorrectly connected path segments, resulting in a set of continuous and connected intermediate path segments. This ensures the integrity and accessibility of the path and avoids obstruction of the maintenance team's journey due to path breaks.

[0120] In summary, by dynamically assigning priority values ​​to the intermediate path segment set based on real-time task attributes, the importance of paths can be distinguished according to the urgency and type of tasks, forming a multi-level path segment sequence. This makes subsequent path selection more aligned with actual task needs and improves the targeting of scheduling.

[0121] In summary, integrating the geometric attributes of path segments with traffic flow trends to generate optimized path segment sequences can take into account both the physical conditions of the path and future traffic change trends, ensuring that the final path is both feasible in the present and has long-term traffic efficiency, thus providing a high-quality foundation for path planning rules.

[0122] S3. Based on the path planning rules, perform path optimization on the initial navigation path to obtain the dynamic optimal path for the maintenance team;

[0123] In this embodiment of the invention, the step of optimizing the initial navigation path based on the path planning rules to obtain the dynamic optimal path for the repair team includes:

[0124] Based on the path planning rules, the traffic efficiency of the path segments in the initial navigation path is evaluated to obtain the real-time weight set of the path segments of the initial navigation path;

[0125] Based on the real-time weight set of the path segments, the key decision nodes in the initial navigation path are reorganized into path segments to obtain a candidate path set for the initial navigation path.

[0126] The overall coherence of the candidate path set is verified to obtain the effective candidate paths for the maintenance team.

[0127] Based on the real-time location and task progress of the maintenance team, the effective candidate paths are dynamically and adaptively adjusted to obtain the dynamic optimal path for the maintenance team.

[0128] Specifically, based on path planning rules, the traffic efficiency of path segments in the initial navigation path is evaluated. When the real-time weight set of path segments in the initial navigation path is obtained, the road level and real-time traffic speed are used as evaluation indicators according to the priority rules of the path planning rules. Path segments with high road level and fast traffic speed are given higher weights, while those with low level and slow speed are given lower weights. The weight of path segments with connection problems is reduced in combination with connectivity rules. The weight values ​​of all path segments together constitute the real-time weight set of path segments.

[0129] Furthermore, based on the real-time weight set of path segments, the key decision nodes in the initial navigation path are reorganized to obtain a candidate path set for the initial navigation path. The intersections in the initial navigation path where there are multiple optional path segments are identified as key decision nodes. The path segments with higher weights at the nodes are selected to replace the path segments with lower weights at the corresponding positions in the initial path to generate new paths. All new paths and the initial path are then combined into a candidate path set.

[0130] Furthermore, the overall coherence of the candidate path set is verified. When the valid candidate paths for the maintenance team are obtained, the continuity of each path in the candidate path set is checked to confirm whether the connection of each path segment meets the connectivity requirements, that is, the end point of the previous segment and the starting point of the next segment are in the same position and in the same direction. Paths that are broken or incorrectly connected are eliminated, and the coherent paths that are retained are the valid candidate paths.

[0131] Furthermore, based on the real-time location and task progress of the maintenance team, the effective candidate paths are dynamically and adaptively adjusted to obtain the dynamic optimal path for the maintenance team. The real-time location of the maintenance team is obtained, and its specific location in the effective candidate paths is determined. The urgency is judged according to the task progress. When the task is urgent and the location is off, the subsequent segments of the path are replanned from the real-time location. When the task is slow, the path with a high degree of matching with the real-time location and stable passage efficiency is selected. After adjustment, the dynamic optimal path is obtained.

[0132] In summary, evaluating the traffic efficiency of path segments to generate real-time weight sets can quantify the traffic value of different path segments based on the priority and connectivity requirements in the path planning rules. This provides a clear weight basis for subsequent path reorganization, avoids arbitrary decision-making due to the lack of quantitative standards in path selection, and ensures that efficient and highly connected path segments are retained first.

[0133] In summary, by reorganizing path segments of key decision nodes based on weight sets to form a candidate path set, low-weight path segments can be replaced and high-weight path options can be combined on the basis of the initial navigation path, expanding the range of path selection and providing sufficient candidate solutions for subsequent selection of the optimal path, thus reducing the problem of missing the optimal solution due to the limited number of path options.

[0134] In summary, verifying the overall coherence of the candidate route set and filtering out valid candidate routes can eliminate invalid routes with breaks or connection errors, ensure that the retained routes have actual traffic conditions, avoid maintenance team interruptions due to route inconsistencies, and improve the reliability and feasibility of the routes.

[0135] In summary, by dynamically adjusting the effective candidate routes based on the real-time location of the maintenance team and the progress of the task, the route can be adapted to the current driving location of the maintenance team. At the same time, the route priority can be optimized according to the urgency of the task, ensuring that the final dynamic optimal route not only fits the real-time driving scenario but also meets the timeliness requirements of the task, thereby improving the flexibility and efficiency of fire maintenance dispatch.

[0136] S4. Based on the dynamic optimal path, generate multi-level path guidance instructions and a visual path layer for the maintenance team;

[0137] In this embodiment of the invention, generating multi-level path guidance instructions and a visual path layer for the maintenance team based on the dynamic optimal path includes:

[0138] The path structure of the dynamic optimal path is analyzed to obtain the key navigation nodes and path segments of the dynamic optimal path.

[0139] The key navigation nodes and the path segments are combined into a set of path guidance elements for the dynamic optimal path;

[0140] The path guidance element set is parsed to obtain the multi-level path guidance instructions for the maintenance team;

[0141] Based on the visualization parameters of geometric attributes and traffic conditions in the dynamic optimal path, generate the path visualization elements of the dynamic optimal path;

[0142] The symbolic path data of the maintenance team is obtained by symbolically matching the path visualization elements with the base map data of the electronic map.

[0143] The symbolic path data is hierarchically fused to obtain the visual path layer of the maintenance team.

[0144] Specifically, when performing path structure analysis on the dynamic optimal path to obtain the key navigation nodes and path segments of the dynamic optimal path, all intersections and turning points are identified as key navigation nodes and their coordinates are recorded along the direction of the dynamic optimal path. The path is divided into multiple path segments according to adjacent key navigation nodes, and the start and end points and road names of each segment are recorded.

[0145] Furthermore, when aggregating key navigation nodes and path segments into a dynamic optimal path path guidance element set, the key navigation nodes and path segments are arranged in driving order and integrated into the same dataset. This dataset contains information such as the coordinates of each key navigation node, the start and end points of each path segment, and the road name, i.e., the path guidance element set.

[0146] Furthermore, when the path guidance element set is parsed to obtain the multi-level path guidance instructions for the maintenance team, multi-level instructions are generated according to the sequence of key navigation nodes and path segmentation information in the element set, based on the driving stage. The first-level instructions are the overall directional guidance, the second-level instructions are the driving requirements for each segment, and the third-level instructions are the specific operations at the nodes. These instructions together constitute the multi-level path guidance instructions.

[0147] Furthermore, when generating path visualization elements for the dynamic optimal path based on the geometric attributes and traffic status visualization parameters in the dynamic optimal path, the geometric attributes such as the path length and direction are converted into line styles. Straight lines are represented by solid lines, and curves are represented by corresponding arc curves. Colors are matched with traffic status: green for smooth traffic, yellow for slow traffic, and red for congestion. These line styles and colors constitute the path visualization elements.

[0148] Furthermore, when symbolically matching the path visualization elements with the base map data of the electronic map to obtain the symbolic path data of the maintenance team, the line style of the path visualization elements is matched with the road symbols on the base map according to the symbol rules of the road and other elements on the base map, and the traffic status color is unified with the color attribute of the base map to form symbolic path data containing path symbols and color information.

[0149] Furthermore, when the symbolic path data is hierarchically fused to obtain the visual path layer of the maintenance team, the symbolic path data is placed on a dedicated path layer above the base map layer according to the electronic map layer hierarchy rules. The display priority is set to clearly display the path without obscuring key elements of the base map. The independent layer formed after fusion is the visual path layer.

[0150] In summary, parsing the dynamic optimal path structure to obtain key navigation nodes and path segments can accurately break down the core guidance points and driving sections of the path, clarifying the basic elements for subsequent generation of guidance instructions and visualization layers, avoiding missing or confused guidance information due to fuzzy path structure, and ensuring that navigation information can cover key locations throughout the entire path.

[0151] In summary, by aggregating key nodes and path segments to form a path guidance element set, scattered path structure information can be integrated into a unified dataset, providing a complete and orderly source of information for path instruction parsing, reducing information omissions or duplications during instruction generation, and ensuring a high degree of matching between subsequent guidance instructions and the actual path structure.

[0152] In summary, multi-level path guidance instructions generated based on element set parsing can distinguish different levels of instructions such as overall direction, segment requirements, and node operations according to the driving stage. This allows maintenance teams to obtain accurate guidance at different driving stages, avoiding the inability of a single instruction to meet the navigation needs of complex paths, and improving the detail and practicality of navigation guidance.

[0153] In summary, by combining the geometric attributes of a path with traffic conditions to generate visualization elements, the physical characteristics and traffic status of a path can be transformed into intuitive line styles and color markings, providing a clear visual basis for subsequent symbolic matching and making path information easier to identify on electronic maps.

[0154] In summary, matching visual elements with the symbolic representation of the electronic map base map to obtain symbolic path data ensures that the path display style is consistent with the base map, avoids path display chaos on the map due to style conflicts, ensures that path data can be accurately superimposed on the corresponding position on the base map, and improves the coherence of visual presentation.

[0155] In summary, hierarchical fusion of symbolic path data to form a visual path layer allows for independent layering of path data and setting reasonable display priorities. This ensures that the path is clearly visible without obscuring key geographical features on the base map, enabling maintenance teams to intuitively obtain path information while understanding the surrounding geographical environment, thus improving the usability and readability of the navigation interface.

[0156] S5. Dynamically render the visualized path layer and the electronic map to obtain the real-time navigation interface of the maintenance team;

[0157] In this embodiment of the invention, the step of dynamically rendering the visualized path layer and the electronic map to obtain the real-time navigation interface of the repair team includes:

[0158] Based on the display attributes of the visualized path layer and the real-time rendering requirements of the electronic map, a layer rendering priority strategy for the dynamic optimal path is established.

[0159] Based on the layer rendering priority strategy, the visualization path layer and the electronic map are rendered synchronously to obtain the composite navigation screen of the maintenance team.

[0160] Visual verification is performed on the abnormal display areas of the synthesized navigation screen to obtain the navigation screen to be corrected by the repair team;

[0161] The rendering parameters of the navigation screen to be corrected are dynamically adjusted to obtain the optimized navigation screen of the repair team.

[0162] The optimized navigation screen is used as the real-time navigation interface for the repair team.

[0163] The method of synchronously rendering and scheduling the visualized path layer and the electronic map based on the layer rendering priority strategy to obtain the composite navigation screen of the maintenance team includes:

[0164] Based on the layer rendering priority strategy, extract the real-time rendering weight factor of the path segment in the visualization path layer;

[0165] The real-time rendering weight factor is determined by the relative distance between the path segment and the maintenance team and the criticality level of the path segment in the dynamic optimal path.

[0166] Based on the real-time rendering weight factor, the rendering priority of the path segment is calculated, wherein the formula for calculating the rendering priority is:

[0167] ;

[0168] In the formula, For the first Rendering priority of each path segment The weighting coefficient for the relative distance is... The distance factor is the relative distance. The weighting coefficient for the key level is... The key level factor is the key level of the key level. This is the urgency gain factor for the path segment. This is the real-time urgency assessment value for the path segment;

[0169] Based on the rendering priority, the visualization path layer is parsed hierarchically to obtain the sub-layer rendering data of the maintenance team;

[0170] The sub-layer rendering data and the data of the electronic map are fused pixel by pixel to obtain the composite navigation screen of the maintenance team.

[0171] Specifically, when establishing a dynamic optimal path layer rendering priority strategy based on the display attributes of the visualized path layer and the real-time rendering requirements of the electronic map, the display attributes of the visualized path layer include the color saturation and line thickness of the path lines. The real-time rendering requirements of the electronic map include ensuring the clear display of key information such as road names. The rendering priority of the visualized path layer is set to be higher than that of ordinary building layers in the electronic map but lower than that of road name label layers. At the same time, when the path overlaps with the road, the color saturation of the path lines is adjusted to be higher than that of the road background color to ensure that the path can be highlighted without obscuring the road name, thus forming a clear layer rendering priority strategy.

[0172] Furthermore, based on the layer rendering priority strategy, the visualization path layer and the electronic map are rendered synchronously. When the composite navigation screen of the repair team is obtained, the base map layer of the electronic map, including terrain and ordinary buildings, is rendered first according to the order set in the layer rendering priority strategy. Then the visualization path layer is rendered so that the path lines cover the base map. Finally, the label layer such as road name is rendered to ensure that the labels are clearly visible. The position coordinates of each layer are kept synchronized throughout the rendering process to avoid misalignment. The complete screen that includes the electronic map and the dynamic optimal path after rendering is the composite navigation screen.

[0173] Furthermore, visual verification is performed on the abnormal areas of the synthesized navigation screen. When the repair team obtains the navigation screen to be corrected, each area in the synthesized navigation screen is checked one by one to see if there are areas where the path lines are blurred, the colors are confused with the background map and are difficult to identify, or areas where the path and the label overlap and the label cannot be seen. These areas that do not meet the display requirements are marked as abnormal areas. The rest of the synthesized navigation screen except for the abnormal areas are retained to form the navigation screen to be corrected.

[0174] Furthermore, the rendering parameters of the navigation screen to be corrected are dynamically adjusted. When the optimized navigation screen is obtained by the repair team, the rendering parameters of the visual path layer are adjusted for the abnormal display areas in the navigation screen to be corrected. If the path lines are blurry, the clarity of the lines is increased; if the colors are confused, the color contrast of the path lines is increased; if the labels are obscured, the position of the path lines is finely adjusted to avoid the labels. After the correction is completed, it is ensured that the path display in all areas is clear and does not affect the viewing of other key information, thus forming the optimized navigation screen.

[0175] Furthermore, when using the optimized navigation screen as the real-time navigation interface for the repair team, the optimized navigation screen is set as the default display interface for the repair team's navigation equipment. This ensures that the interface can respond in real time to updates of the dynamic optimal path. When the path changes, the interface will simultaneously display the adjusted path and related information. At the same time, the layout of the operation buttons and status prompts on the interface is kept reasonable, making it convenient for repair team personnel to view and operate. The final interface that can be used directly is the real-time navigation interface for the repair team.

[0176] Specifically, when extracting the real-time rendering weight factors of path segments in the visualization path layer according to the layer rendering priority strategy, the judgment criteria for the rendering importance of path segments in the strategy are clarified. For each path segment, its relative distance to the maintenance team and its critical level in the dynamic optimal path are obtained and integrated into the real-time rendering weight factors of each path segment according to the combination method specified by the strategy.

[0177] Furthermore, the real-time rendering weight factor is jointly determined by the relative distance between the path segment and the maintenance team and the criticality level of the path segment in the dynamic optimal path. The closer the relative distance, the higher the value of the distance part and the higher the criticality level. For example, the path segment containing critical navigation nodes has a higher value of the criticality part. The real-time rendering weight factor is obtained by merging the two parts of the value, which reflects the rendering priority of the path segment.

[0178] Furthermore, based on the real-time rendering weight factor, when calculating the rendering priority of a path segment, the real-time rendering weight factors of each path segment are compared. The larger the value, the higher the priority. All path segments are arranged in descending order to determine the rendering order and form a rendering priority ranking result.

[0179] Furthermore, based on the rendering priority, the visualization path layer is parsed hierarchically. When the sub-layer rendering data of the maintenance team is obtained, the layer is divided into multiple sub-layers according to the rendering priority. The highest priority forms the first sub-layer, the next highest priority forms the second sub-layer, and so on. Each sub-layer contains path segments and rendering attributes of the same priority, forming sub-layer rendering data.

[0180] Furthermore, when the sub-layer rendering data and the electronic map data are fused pixel-by-pixel to obtain the composite navigation screen for the repair team, the basic data of the electronic map is rendered first, and then the path segments are rendered sequentially from the highest priority sub-layer according to the sub-layer rendering data hierarchy. The pixels of each sub-layer path segment are superimposed with the corresponding pixels of the electronic map to avoid visual conflicts and form a composite navigation screen.

[0181] Specifically, the weighting coefficient for relative distance is derived from the straight-line distance measurement between the path segment and the maintenance team, and is allocated according to the distance; the distance factor for relative distance is set according to the distance, with the factor increasing as the distance decreases, determined based on a pre-defined correspondence within the system. The weighting coefficient for criticality level is allocated according to the criticality level of the path segment within the dynamic optimal path, with the coefficient increasing as the level increases; the criticality level factor for criticality level corresponds to the criticality level, with the factor increasing as the level increases, determined based on a pre-defined correspondence within the system. The urgency gain factor is set according to the urgency of the maintenance team's task, with the factor increasing as the task becomes more urgent; the real-time urgency assessment value is determined by whether the path segment urgently needs passage, with 1 for urgent passage and 0 for others.

[0182] Furthermore, the formula means that by considering the relative distance between the path segment and the repair team, the criticality level in the dynamic optimal path, and the real-time urgency, the rendering priority of each path segment is calculated, the rendering order is clarified, and the rendering of the nearest, critical, and urgent path segments is prioritized and displayed clearly.

[0183] Furthermore, the formula trend is that the closer the path segment is to the repair team and the higher its criticality level, the greater the rendering priority; when the real-time urgency assessment value is 1, the rendering priority will be increased further, and ultimately the path segments that are close, critical, and urgent will have higher rendering priority and be rendered earlier.

[0184] In summary, establishing a layer rendering priority strategy based on the display attributes of the visualized path layer and the rendering requirements of the electronic map can clearly define the display priority of the path layer and other elements in the map. This ensures that the dynamic optimal path is highlighted while avoiding obscuring key information such as road names, thus solving the problem of visual conflict between paths and map elements in traditional rendering and improving the rationality of information presentation in the navigation interface.

[0185] In summary, the system synchronously renders the route layer and electronic map based on a priority strategy, rendering the base map, route layer, and annotation layer in a preset order to ensure that the position coordinates of each layer are synchronized without misalignment. This results in a composite navigation screen containing complete geographic and route information, avoiding interface misalignment issues caused by disordered rendering order and ensuring the integrity and accuracy of the navigation screen.

[0186] In summary, visual verification of the synthesized navigation screen to locate and display abnormal areas can promptly identify problems such as blurred path lines, confused colors, or overlapping markings. Marking abnormal areas creates a navigation screen to be corrected, providing a clear target for subsequent parameter correction, preventing the direct use of abnormal images from affecting the navigation judgment of the repair team, and improving the display quality of the navigation interface.

[0187] In summary, the rendering parameters of the navigation screen to be corrected are dynamically adjusted, and the clarity of path lines, color contrast, or position are adjusted as needed to solve display abnormalities. This ensures that the path in the optimized navigation screen is clear and does not obscure key information, allowing the repair team to intuitively obtain path and geographical information, and improving the usability and readability of the navigation interface.

[0188] In summary, the optimized navigation screen serves as the real-time navigation interface, and the interface can synchronously respond to dynamic optimal route updates, ensuring that the navigation information obtained by the maintenance team matches the latest route. At the same time, the operation buttons and status prompt areas are reasonably laid out, making it convenient for the maintenance team to view and operate. This provides stable and accurate interface support for real-time navigation and improves the navigation efficiency of fire maintenance dispatch.

[0189] In summary, the real-time rendering weight factor of the path segment is extracted based on the layer rendering priority strategy. The weight factor is determined by combining the relative distance between the path segment and the repair team and the criticality level in the dynamic optimal path. This can accurately quantify the rendering importance of different path segments, avoid the problem of the critical path information not being highlighted due to the "indiscriminate treatment" of all path segments in traditional rendering, and provide a scientific basis for subsequent rendering priority calculation.

[0190] In summary, by calculating the rendering priority of path segments using a formula, and taking into account multiple factors such as relative distance, criticality level, and real-time urgency, the rendering order of each path segment can be objectively sorted. This ensures that path segments that are relatively close, have a high criticality level, and are urgent in real time are rendered first, allowing repair teams to quickly focus on the current and critical driving segments and improve the efficiency of navigation information acquisition.

[0191] In summary, by performing hierarchical parsing of the visual path layer according to rendering priority to obtain sub-layer rendering data, and splitting path segments of different priorities into corresponding sub-layers, rendering scheduling becomes more targeted, avoiding visual confusion caused by mixed rendering of path segments, and laying the foundation for accurate integration with electronic maps in the future.

[0192] In summary, pixel-level fusion of sub-layer rendering data and electronic map data to generate a composite navigation screen enables precise overlay of paths and maps. This ensures clear display of each sub-layer path segment without visual conflict with the base map, fully presenting geographical and path information and providing maintenance teams with intuitive and accurate navigation support.

[0193] S6. Provide real-time navigation guidance to the maintenance team based on the real-time navigation interface and the path guidance instructions.

[0194] In this embodiment of the invention, providing real-time navigation guidance to the repair team based on the real-time navigation interface and the path guidance instructions includes:

[0195] The multi-level path guidance instructions are dynamically associated and mapped with the geographical elements in the real-time navigation interface to obtain the guidance information set of the real-time navigation interface.

[0196] Based on the real-time geographical location changes of the maintenance team, the applicable path guidance instructions in the guidance information set are selected to obtain the time-sequential guidance instruction sequence of the maintenance team.

[0197] The time-sequential guidance instruction sequence is spatially synchronized and calibrated with the real-time navigation interface to obtain the optimized navigation guidance content of the real-time navigation interface;

[0198] Based on the optimized navigation guidance content, real-time navigation guidance is provided to the maintenance team.

[0199] Specifically, when dynamically associating and mapping multi-level path guidance instructions with geographic elements in the real-time navigation interface to obtain the guidance information set of the real-time navigation interface, first identify all geographic elements in the real-time navigation interface, including intersections, buildings, road signs, etc., and then match each instruction in the multi-level path guidance instructions with the corresponding geographic element, such as associating the left turn instruction with a specific intersection and the straight instruction with a certain road segment. At the same time, record the correspondence between the instructions and geographic elements and the triggering conditions. When the maintenance team arrives at the location of the geographic element, the corresponding instruction is triggered. All the associating and mapping instructions and the corresponding geographic element information together constitute the guidance information set.

[0200] Furthermore, based on the real-time changes in the geographical location of the maintenance team, when selecting applicable path guidance instructions from the guidance information set to obtain the time-sequential guidance instruction sequence for the maintenance team, the geographical location of the maintenance team is obtained in real time through the positioning device. This location is compared with the triggering conditions of each instruction in the guidance information set. When the location of a certain geographical element is reached, the corresponding path guidance instruction is selected from the guidance information set. According to the order in which the instructions are triggered during the maintenance team's journey, these instructions are arranged sequentially to form a time-sequential instruction sequence, i.e., the time-sequential guidance instruction sequence.

[0201] Furthermore, the time-sequential guidance instruction sequence is spatially synchronized and calibrated with the real-time navigation interface to obtain optimized navigation guidance content for the real-time navigation interface. Based on the real-time geographical location of the repair team, the display position of the time-sequential guidance instruction sequence in the real-time navigation interface is adjusted so that the instructions are displayed near the corresponding geographical elements. For example, the turning instructions at an intersection are displayed next to the intersection icon. At the same time, it is ensured that the timing of the instruction display is synchronized with the time when the repair team arrives at the location, avoiding premature or delayed display. After calibration, the content in the real-time navigation interface where the spatial position of the instructions matches the geographical elements and the timing of the display is accurate is the optimized navigation guidance content.

[0202] Furthermore, based on the optimized navigation guidance content, when providing real-time navigation guidance to the repair team, the optimized navigation guidance content will be displayed on the real-time navigation interface. When the repair team drives to a certain geographical location, the interface will automatically display the corresponding route guidance instructions, and at the same time, the instructions will be prompted through voice broadcast. For example, when reaching an intersection, the interface will display a left turn icon and provide a voice prompt to turn left ahead, ensuring that the repair team personnel can intuitively and clearly obtain navigation information and drive to their destination according to the guidance content.

[0203] In summary, dynamically associating multi-level path guidance instructions with real-time navigation interface geographic elements to form a guidance information set allows each instruction to accurately correspond to actual geographic scenarios such as intersections and road signs, avoiding a disconnect between instructions and the geographic environment. This enables maintenance teams to quickly find guidance information at the corresponding location, reduces navigation comprehension costs, and improves the practicality of instructions.

[0204] In summary, by selecting appropriate instructions based on the real-time changes in the repair team's geographical location, a time-sequential guidance instruction sequence can be generated. This sequence provides the currently required guidance according to the driving progress, avoiding the premature or delayed delivery of irrelevant instructions. This ensures that the navigation information obtained by the repair team is highly adapted to the driving stage, improving the timeliness and relevance of navigation guidance.

[0205] In summary, spatial synchronization calibration of the time-sequential guidance command sequence with the real-time navigation interface optimizes the navigation guidance content. This ensures that the commands are accurately displayed next to the corresponding geographical elements, and guarantees that the display timing is synchronized with the arrival time of the repair team. This avoids misleading information caused by command display position deviations or inappropriate timing, thereby improving the accuracy of navigation guidance.

[0206] In summary, the system provides real-time navigation guidance based on optimized navigation content. By combining interface display with voice broadcast, it allows maintenance teams to intuitively obtain accurate guidance, ensuring that they can efficiently drive to their destination according to the guidance. This solves the problem of the disconnect between guidance and scene in traditional navigation and improves the navigation efficiency and reliability of fire maintenance dispatch.

[0207] like Figure 2 The diagram shown is a functional block diagram of a real-time planning and visualization system for optimal fire maintenance routes provided in an embodiment of the present invention.

[0208] The real-time planning and visualization system 100 for optimal fire maintenance routes described in this invention can be installed in an electronic device. Depending on the functions implemented, the real-time planning and visualization system 100 may include an initial path construction module 101, a path planning module 102, an optimal path discrimination module 103, a visualization generation module 104, a real-time navigation module 105, and a navigation guidance module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.

[0209] In this embodiment, the functions of each module / unit are as follows:

[0210] The initial path construction module 101 is used to overlay the location of the fire-fighting equipment failure as the first location coordinate and the resource points in the maintenance team as the second location coordinate onto the electronic map to obtain the initial navigation path of the maintenance team.

[0211] The path planning module 102 is used to constrain the initial navigation path based on real-time traffic information to obtain the path planning rules for the maintenance team.

[0212] The optimal path discrimination module 103 is used to perform path optimization on the initial navigation path based on the path planning rules to obtain the dynamic optimal path of the maintenance team.

[0213] The visualization generation module 104 is used to generate multi-level path guidance instructions and visualization path layers for the maintenance team based on the dynamic optimal path.

[0214] The real-time navigation module 105 is used to dynamically render the visualized path layer and the electronic map to obtain the real-time navigation interface of the maintenance team.

[0215] The navigation guidance module 106 is used to provide real-time navigation guidance to the maintenance team based on the real-time navigation interface and the path guidance instructions.

[0216] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0217] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0218] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0219] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0220] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0221] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A real-time planning and visualization method for optimal path of fire maintenance dispatching, characterized in that, The method comprises: S1. superimposing the occurrence place of the fire-fighting fault equipment as a first position coordinate and a resource point in the maintenance team as a second position coordinate to an electronic map to obtain an initial navigation path of the maintenance team; S2. according to real-time traffic information, constraining the initial navigation path to obtain path planning rules of the maintenance team; S3. based on the path planning rules, performing path optimization on the initial navigation path to obtain a dynamic optimal path of the maintenance team; S4. according to the dynamic optimal path, generating multi-level path guidance instructions and a visual path layer of the maintenance team; S5. dynamically rendering the visual path layer and the electronic map to obtain a real-time navigation interface of the maintenance team, comprising: establishing a layer rendering priority strategy of the dynamic optimal path according to the display attributes of the visual path layer and the real-time rendering requirements of the electronic map; based on the layer rendering priority strategy, synchronously rendering and scheduling the visual path layer and the electronic map to obtain a composite navigation screen of the maintenance team, comprising: according to the layer rendering priority strategy, extracting a real-time rendering weight factor of a path segment in the visual path layer; the real-time rendering weight factor is jointly determined by the relative distance between the path segment and the maintenance team and the key level of the path segment in the dynamic optimal path; based on the real-time rendering weight factor, calculating a rendering priority of the path segment, wherein the calculation formula of the rendering priority is: ; In the formula, is the rendering priority of the path segment, is the weight coefficient of the relative distance, is the distance factor of the relative distance, is the weight coefficient of the key level, is the key level factor of the key level, is the urgency gain factor of the path segment, is the real-time urgency evaluation value of the path segment;​ according to the rendering priority, performing hierarchical analysis on the visual path layer to obtain sub-layer rendering data of the maintenance team; performing pixel-level fusion of the sub-layer rendering data and the data of the electronic map to obtain a composite navigation screen of the maintenance team; performing visual checking on the display abnormal area of the composite navigation screen to obtain a to-be-corrected navigation screen of the maintenance team; dynamically correcting the rendering parameters of the to-be-corrected navigation screen to obtain an optimized navigation screen of the maintenance team; taking the optimized navigation screen as the real-time navigation interface of the maintenance team; S6. according to the real-time navigation interface and the path guidance instructions, providing real-time navigation guidance for the maintenance team.

2. The method of real-time planning and visualization of optimal path for fire maintenance dispatching according to claim 1, wherein, The superimposition of the occurrence place of the fire-fighting fault equipment as a first position coordinate and a resource point in the maintenance team as a second position coordinate to an electronic map to obtain an initial navigation path of the maintenance team comprises: obtaining a first position coordinate of the occurrence place of the fire-fighting fault equipment and a second position coordinate of a resource point in the maintenance team; verifying the format consistency of the first position coordinate and the second position coordinate to obtain a reasonable range of the electronic map; according to the reference geographic point of the reasonable range, performing standard correction on the deviated coordinates between the first position coordinate and the second position coordinate to obtain a corrected first position coordinate and a corrected second position coordinate; superimposing the corrected first position coordinate and the corrected second position coordinate to the electronic map to obtain the initial navigation path of the maintenance team.

3. The method of real-time planning and visualization of optimal path for fire maintenance dispatching according to claim 1, wherein, The path planning rule of the repair team is obtained by constraining the initial navigation path according to the real-time traffic information, and the path planning rule comprises: The real-time traffic information is analyzed to obtain a traffic congestion area and a traffic event area in the electronic map, The traffic state identification data of the electronic map is obtained according to the traffic congestion area and the traffic event area; The initial navigation path is subjected to path segment screening based on the traffic state identification data to obtain an optimized path segment sequence of the repair team; The path connectivity rule and the priority rule in the optimized path segment sequence are integrated into the path planning rule of the repair team.

4. The method of real-time planning and visualization of optimal paths for fire service repair dispatch of claim 3, wherein, The optimized path segment sequence of the repair team is obtained by subjecting the initial navigation path to path segment screening based on the traffic state identification data, and the path segment screening comprises: Real-time traffic parameters of path segments in the initial navigation path are extracted according to the traffic state identification data; The real-time traffic parameters are subjected to state level evaluation to obtain a traffic state evaluation result of the initial navigation path; The initial navigation path is subjected to path segment screening according to the traffic state evaluation result to obtain a preliminary path segment set of the repair team; The preliminary path segment set is subjected to path connectivity analysis to obtain an intermediate path segment set of the repair team; The intermediate path segment set is subjected to dynamic priority assignment based on real-time task attributes of the repair team to obtain a multi-level path segment sequence of the repair team; The optimized path segment sequence of the repair team is obtained by integrating geometric attributes and traffic flow trends of path segments in the real-time traffic information according to the multi-level path segment sequence.

5. The method of real-time planning and visualization of optimal path for fire maintenance dispatching according to claim 1, wherein, The dynamic optimal path of the repair team is obtained by subjecting the initial navigation path to path optimization based on the path planning rule, and the path optimization comprises: The initial navigation path is subjected to traffic efficiency evaluation based on the path planning rule to obtain a real-time weight set of path segments in the initial navigation path; The initial navigation path is subjected to path segment recombination based on the real-time weight set of path segments to obtain a candidate path set of the initial navigation path; The candidate path set is subjected to overall coherence verification to obtain an effective candidate path of the repair team; The dynamic optimal path of the repair team is obtained by subjecting the effective candidate path to dynamic adaptability adjustment based on a real-time position and a task progress of the repair team.

6. The method of real-time planning and visualization of optimal path for fire service repair dispatch of claim 1, wherein, The multi-level path guidance instructions and the visual path layer of the repair team are generated according to the dynamic optimal path, and the generation comprises: The dynamic optimal path is subjected to path structure analysis to obtain key navigation nodes and path segments of the dynamic optimal path; The key navigation nodes and the path segments are collected into a path guidance element set of the dynamic optimal path; The multi-level path guidance instructions of the repair team are obtained by subjecting the path guidance element set to path instruction analysis; The path visual elements of the dynamic optimal path are generated according to visual parameters of geometric attributes and traffic states in the dynamic optimal path; The path visual elements are symbolically matched with base map data of the electronic map to obtain symbolized path data of the repair team; The symbolization path data is hierarchically fused to obtain a visual path layer of the maintenance team.

7. The method of real-time planning and visualization of optimal path for fire service repair dispatch of claim 1, wherein, The real-time navigation interface and the path guidance instruction are used to provide real-time navigation guidance for the maintenance team, including: The multi-level path guidance instruction is dynamically associated and mapped with geographical elements in the real-time navigation interface to obtain a set of guidance information of the real-time navigation interface; According to real-time geographical position changes of the maintenance team, path guidance instructions suitable in the set of guidance information are selected to obtain a time-sequenced guidance instruction sequence of the maintenance team; The time-sequenced guidance instruction sequence is spatially synchronized and calibrated with the real-time navigation interface to obtain optimized navigation guidance content of the real-time navigation interface; The optimized navigation guidance content is used to provide real-time navigation guidance for the maintenance team.

8. A real-time planning and visualization system for optimal path of fire service repair dispatch, characterized in that, The system comprises: An initial path construction module is configured to superimpose a fire-fighting fault equipment occurrence location as a first position coordinate and a resource point in a maintenance team as a second position coordinate onto an electronic map to obtain an initial navigation path of the maintenance team; A path planning establishment module is configured to constrain the initial navigation path according to real-time traffic information to obtain path planning rules of the maintenance team; An optimal path discrimination module is configured to perform path optimization on the initial navigation path based on the path planning rules to obtain a dynamic optimal path of the maintenance team; A visualization generation module is configured to generate multi-level path guidance instructions and a visual path layer of the maintenance team according to the dynamic optimal path; A real-time navigation module is configured to dynamically render the visual path layer and the electronic map to obtain a real-time navigation interface of the maintenance team, including: A layer rendering priority strategy of the dynamic optimal path is established according to display attributes of the visual path layer and real-time rendering requirements of the electronic map; The visual path layer and the electronic map are synchronously rendered and dispatched based on the layer rendering priority strategy to obtain a composite navigation screen of the maintenance team, including: A real-time rendering weight factor of a path segment in the visual path layer is extracted according to the layer rendering priority strategy; The real-time rendering weight factor is determined by a relative distance between the path segment and the maintenance team and a key level of the path segment in the dynamic optimal path; The rendering priority of the path segment is calculated based on the real-time rendering weight factor, and a calculation formula of the rendering priority is: ; In the formula, For the first Rendering priority of each path segment The weighting coefficient for the relative distance is... The distance factor is the relative distance. The weighting coefficient for the key level is... The key level factor is the key level of the key level. This is the urgency gain factor for the path segment. This is the real-time urgency assessment value for the path segment; The visual path layer is hierarchically analyzed according to the rendering priority to obtain sub-layer rendering data of the maintenance team; The sub-layer rendering data is pixel-level fused with data of the electronic map to obtain a composite navigation screen of the maintenance team; Display abnormal areas of the composite navigation screen are visually checked to obtain a to-be-corrected navigation screen of the maintenance team; Rendering parameters of the to-be-corrected navigation screen are dynamically corrected to obtain an optimized navigation screen of the maintenance team; The optimized navigation screen is used as a real-time navigation interface of the maintenance team. a navigation leading module, configured to provide real-time navigation guidance for the maintenance team according to the real-time navigation interface and the path guidance instruction.

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