Overall scheduling method and system based on intelligent emergency

Abstract

The invention discloses an overall scheduling method and system based on intelligent emergency, and relates to the technical field of intelligent emergency, and the method comprises the steps: determining the overall scheduling of each emergency scheduling vehicle according to the relative positions of a plurality of emergency positions, corresponding emergency events and the positions of the emergency scheduling vehicles, so as to carry out the emergency rescue of each emergency position. The overall dispatching effect of each emergency dispatching vehicle is ensured, and the intelligent emergency effect of a plurality of emergency positions is improved. Therefore, the emergency dispatching system of each emergency dispatching vehicle is determined according to the danger level of each emergency position, the working condition of the emergency dispatching vehicle in each emergency position and the surrounding environment of each emergency position; if the danger level of one emergency position exceeds the preset danger level threshold value, air rescue of the rescue unmanned aerial vehicle is triggered, a multi-dimensional rescue event is determined according to the rescue unmanned aerial vehicle and the multiple emergency dispatching vehicles, and cooperative rescue of the rescue unmanned aerial vehicle and the multiple emergency dispatching vehicles is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent emergency, and in particular, to an overall scheduling method and system based on intelligent emergency. Background Art

[0002] With the development of technology, each town gradually conducts management and control of emergency events and conducts corresponding intelligent emergency for each area in the town. However, in the existing intelligent emergency, multiple emergency locations are introduced, and separate emergency treatments are carried out according to the multiple emergency locations, and single-dimensional emergency management and control are carried out according to the preset emergency dispatching vehicles, and the overall scheduling of each emergency dispatching vehicle cannot be realized. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and the present invention provides an overall scheduling method and system based on intelligent emergency.

[0004] An embodiment of the present invention provides an overall scheduling method based on intelligent emergency, including: determining the inspection route of the inspection unmanned aerial vehicle (UAV) relative to the town based on the town distribution map, the grade coefficients of each area of the town, and the inspection UAV; the inspection UAV performs town inspection along the inspection route and determines the abnormal area; determining the corresponding emergency location based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area; determining the overall scheduling of each emergency dispatching vehicle according to the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatching vehicles, so as to perform emergency rescue for each emergency location; determining the emergency dispatch system of each emergency dispatching vehicle according to the danger level of each emergency location, the working conditions of the emergency dispatching vehicles in each emergency location, and the surrounding environment of each emergency location, including: monitoring the emergency rescue of each emergency location in real time, and determining the danger level of each emergency location according to the real-time monitoring images of each emergency location, the danger levels of the objects stored in each emergency location, and the emergency coverage areas covered by each emergency location; associating multiple emergency dispatching vehicles configured at each emergency location, and determining the working conditions of the emergency dispatching vehicles in each emergency location according to the rescue durations, rescue ranges, and rescue modes of the multiple emergency dispatching vehicles; if the danger level of an emergency location exceeds the preset danger level threshold, triggering the aerial rescue of the rescue UAV, and determining the multi-dimensional rescue event according to the rescue UAV and multiple emergency dispatching vehicles.

[0005] An embodiment of the present invention provides an overall scheduling system based on intelligent emergency. The overall scheduling system based on intelligent emergency is applied to the above-mentioned overall scheduling method based on intelligent emergency. The overall scheduling system based on intelligent emergency includes: The patrol route module is used to determine the patrol route of the patrol drone relative to the town based on the town distribution map, the grade coefficients of each area of the town, and the patrol drone; The emergency location module is used to have the patrol drone conduct town patrol along the patrol route and determine the abnormal area; determine the corresponding emergency location based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area; The dispatching module is used to determine the overall dispatching of each emergency dispatching vehicle according to the relative positions of multiple emergency locations, the corresponding emergency events, and the position of the emergency dispatching vehicle, so as to perform emergency rescue at each emergency location; The emergency dispatching system module is used to determine the emergency dispatching system of each emergency dispatching vehicle according to the danger level of each emergency location, the working conditions of the emergency dispatching vehicles in each emergency location, and the surrounding environment of each emergency location, including: monitoring the emergency rescue at each emergency location in real time, and determining the danger level of each emergency location according to the real-time monitoring images of each emergency location, the danger levels of the objects stored at each emergency location, and the emergency coverage areas covered by each emergency location; associating the multiple emergency dispatching vehicles configured at each emergency location, and determining the working conditions of the emergency dispatching vehicles in each emergency location according to the rescue durations, rescue ranges, and rescue modes of the multiple emergency dispatching vehicles; The multi-dimensional rescue event module is used to trigger the aerial rescue of the rescue drone if the danger level of an emergency location exceeds the preset danger level threshold, and determine the multi-dimensional rescue event according to the rescue drone and multiple emergency dispatching vehicles.

[0006] Compared with the prior art, the beneficial effects of the present invention are: In the embodiment of the present invention, by the method in the embodiment of the present invention, the patrol route of the patrol drone relative to the town is determined based on the town distribution map, the grade coefficients of each area of the town, and the patrol drone; the patrol drone conducts town patrol along the patrol route and determines the abnormal area; the corresponding emergency location is determined based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area; the overall dispatching of each emergency dispatching vehicle is determined according to the relative positions of multiple emergency locations, the corresponding emergency events, and the position of the emergency dispatching vehicle, so as to perform emergency rescue at each emergency location, which is compatible with the overall consideration of the relative positions of multiple emergency locations, the corresponding emergency events, and the position of the emergency dispatching vehicle, ensures the effect of the overall dispatching of each emergency dispatching vehicle, realizes the full utilization of each emergency dispatching vehicle, and improves the effect of intelligent emergency at multiple emergency locations.

[0007] Therefore, an emergency dispatch system for each emergency vehicle is determined according to the danger levels of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding environment of each emergency location; if the danger level of an emergency location exceeds a preset danger level threshold, the aerial rescue of the rescue drone is triggered, and a multi-dimensional rescue event is determined based on the rescue drone and multiple emergency dispatch vehicles, realizing the collaborative rescue of the rescue drone and multiple emergency dispatch vehicles, and performing targeted regulation on the change of the danger level of the emergency location, ensuring the dynamic management and control of each emergency location. Description of the Drawings

[0008] Figure 1 It is a schematic diagram of an application scenario of the overall scheduling method based on intelligent emergency in an embodiment; Figure 2 It is a schematic flowchart of the overall scheduling method based on intelligent emergency in an embodiment of the present invention; Figure 3 It is a schematic diagram of the structural composition of the overall scheduling system based on intelligent emergency in an embodiment of the present invention. Detailed Embodiments

[0009] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0010] The overall scheduling method based on intelligent emergency provided by this application is applied to an application environment as Figure 1 shown. Among them, the computer 102 communicates with the server 104 through the network. Among them, the computer 102 is not limited to various personal computers, servers, and park management systems, and the server 104 is implemented by an independent server or a server cluster composed of servers.

[0011] Please refer to Figures 1 to 3 , an overall scheduling method based on intelligent emergency, which is applied to an overall scheduling scenario based on intelligent emergency; the overall scheduling method based on intelligent emergency includes: Step S11: Determine the inspection route of the inspection drone relative to the town based on the town distribution map, the grade coefficients of each area of the town, and the inspection drone; Step S12: The inspection drone conducts town inspections along the inspection route and determines the abnormal area; based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area, determine the corresponding emergency location; Step S13: Determine the overall dispatch of each emergency dispatch vehicle according to the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatch vehicles, so as to perform emergency rescue for each emergency location; Step S14: Determine the emergency dispatch system for each emergency response vehicle based on the risk levels of each emergency location, the working conditions of the emergency dispatch vehicles at each emergency location, and the surrounding environment of each emergency location, including: monitoring the emergency rescue at each emergency location in real time, and determining the risk levels of each emergency location based on the real-time monitoring images of each emergency location, the risk levels of the objects stored at each emergency location, and the emergency coverage areas covered by each emergency location; associating the multiple emergency dispatch vehicles configured at each emergency location, and determining the working conditions of the emergency dispatch vehicles at each emergency location based on the rescue durations, rescue coverage areas, and rescue modes of the multiple emergency dispatch vehicles. Step S15: If the risk level of an emergency location exceeds the preset risk level threshold, trigger the aerial rescue of the rescue drone, and determine a multi-dimensional rescue event based on the rescue drone and the multiple emergency dispatch vehicles. In step S11, based on the town distribution map, the grade coefficients of each area of the town, and the inspection drone, determine the inspection route of the inspection drone relative to the town. In the specific implementation process of the present invention, the specific steps are as follows: S111: Determine the town distribution map based on the location information of the town, the name of the town, and the town database. S112: Determine each area according to the town distribution map, the corresponding regional functions, and the street route map, and determine the grade coefficients of each area of the town based on the spatial positions of each area, the enterprise distribution maps in each area, and the past emergency data in each area. S113: Interact the grade coefficients of each area, each aerial control area in the town distribution map, and the model of the inspection drone, and determine the inspection route of the inspection drone relative to the town based on the interaction of the grade coefficients of each area, each aerial control area in the town distribution map, and the model of the inspection drone.

[0012] In the embodiment of the present application, determining the town distribution map based on the location information of the town, the name of the town, and the town database takes into account the overall consideration of the location information of the town, the name of the town, and the town database, ensuring the accuracy of the town distribution map.

[0013] At this time, the location information of towns, the names of towns, and the town database are introduced. The location information of towns includes the geographical coordinates of towns, namely longitude and latitude information, which are obtained through GPS positioning devices. The town names are key information for identifying and differentiating different towns, and this information is obtained from sources such as government official websites, census data, and map services; the town database is a repository containing detailed information about towns, including administrative divisions, population statistics, infrastructure, land use, etc.; when accessing the database, an appropriate query language or API is required to obtain the required information.

[0014] Integrate the location information of towns, the names of towns, and other relevant information in the town database, and use GIS software or online map services to generate a town distribution map based on the integrated information; the distribution map should clearly show the boundaries of towns, main roads, key facilities (such as hospitals, fire stations, police stations), etc.

[0015] Furthermore, determine each area according to the town distribution map, the corresponding regional functions, and the street route map, and determine the grade coefficients of each area in the town according to the spatial positions of each area, the enterprise distribution maps in each area, and the past emergency data of each area, realizing the control of the grade coefficients of each area in the town.

[0016] At this time, use the town distribution map generated in S111, combined with regional function planning documents (such as urban planning maps, land use maps, etc.), to divide the town into different functional areas, including residential areas, industrial areas, commercial areas, park green spaces, school areas, etc.; optionally, when dividing the areas, factors such as the boundaries of the areas, main functions, and population density need to be considered.

[0017] The street route map provides detailed information about the road network in the town, including main roads, secondary roads, alleys, etc.; while the enterprise distribution map shows the locations, types, and scales of enterprises in the town, and this information is crucial for evaluating the emergency risks of the areas, especially high-risk enterprises such as chemical plants, gas stations, and large storage facilities need to be concerned, as they have a significant impact in emergency events.

[0018] Introduce the past emergency data of each area. The past emergency data of each area includes records of historical emergency events, response times, rescue effects, etc. Analyze this data to identify which areas are more prone to emergency events, as well as the nature and scale of these events; comprehensively consider the above information and assign a grade coefficient to each area; the grade coefficient should reflect the emergency risk level of the area, and higher coefficients should be assigned to high-risk areas.

[0019] Therefore, by interacting the grade coefficients of each region, each air control area in the town distribution map, and the model of the inspection drone, and determining the inspection route of the inspection drone relative to the town based on the interaction of the grade coefficients of each region, each air control area in the town distribution map, and the model of the inspection drone, the accurate control of the inspection route of the inspection drone relative to the town is achieved.

[0020] At this time, the grade coefficients of each region determined previously are used as input information; the grade coefficient reflects the emergency risk level of different regions and is an important basis for planning the inspection route; regions with high grade coefficients should be inspected preferentially to ensure a rapid response in case of an emergency.

[0021] The air control areas include no-fly zones, restricted-fly zones, flight restricted altitudes, etc.; the existence of these areas has a direct impact on the flight route of the drone; when planning the inspection route, it is necessary to ensure that the drone does not violate the air traffic management regulations and avoid entering no-fly zones or exceeding the restricted flight altitude; at the same time, different models of inspection drones have different performance parameters, such as flight speed, endurance time, camera resolution, sensor type, etc.; when planning the inspection route, the performance limitations of the drone need to be considered to ensure that the route is within the capabilities of the drone; for example, for drones with a short endurance time, a shorter inspection path needs to be planned or relay points need to be set.

[0022] Interact the information of the grade coefficients of each region, the air control areas, and the drone model, consider these factors comprehensively, and use path planning methods or manual decision-making to determine the optimal inspection route; the inspection route should preferentially cover regions with high grade coefficients, avoid entering air control areas at the same time, and ensure that it is within the performance range of the drone; after initially determining the inspection route, route optimization is required to further improve the inspection efficiency; this is achieved by adjusting the inspection order, shortening the path length, setting a reasonable flight altitude, etc.

[0023] Specifically, assume that the inspection route of the inspection drone for "Green Willow Town" continues to be planned; the following are the specific operation steps: the grade coefficients of each region in Green Willow Town have been determined previously, with Industrial Zone B being the highest, Commercial Zone C being the second, and Residential Area A and Park Green Space D being lower; according to the town distribution map, it is known that there is a no-fly zone over Green Willow Town, near the town center, including a part of Commercial Zone C and the edge of Residential Area A; in addition, there are some restricted-fly zones, mainly near Industrial Zone B, and there are restrictions on the flight altitude due to high-risk facilities such as chemical plants.

[0024] The model of the inspection UAV used is DJI Matrice 600 Pro, which has a long endurance time and a high-resolution camera, but its flight altitude is limited (not exceeding 400 meters); Considering the level coefficient, the air control area and the UAV model comprehensively, the following inspection route is planned: First, the UAV takes off from the base, bypasses the no-fly zone, and gives priority to inspecting Industrial Area B; Then, it flies along the main road to the part of Commercial Area C that is not affected by the no-fly zone; Next, it turns to Residential Area A for inspection (avoiding the edge of the no-fly zone); Finally, if time permits, it conducts a simple inspection of Park Green Space D; The whole route tries to fly at a low altitude (not exceeding the limited flight height) to ensure safety and make full use of the camera resolution of the UAV.

[0025] After the initial route planning, it is found that the UAV needs to detour a long distance when flying from Industrial Area B to Commercial Area C; To optimize the route, the flight path is adjusted so that the UAV can cross the non-controlled area between the two areas more directly; After verification, the optimized route is feasible and effective in actual operation and can complete the inspection task within the endurance time of the UAV.

[0026] In an embodiment of the present application, the level coefficient of each area, the air control area information in the town distribution map, and the model parameters of the inspection UAV are integrated; A matching table is constructed to record the corresponding relationships between these information; The matching table includes the area name, level coefficient, air control status (no-fly / limited flight / unrestricted), UAV model and its performance parameters (such as endurance time, flight speed, maximum flight height, etc.); Example of the matching table:

[0027] Furthermore, a weight is assigned to each area according to its level coefficient, and the higher the weight, the higher the inspection priority of the area; Considering the restrictions of the air control area on the UAV flight route, adjust the inspection order or plan a detour route; According to the performance parameters of the UAV, such as endurance time and flight speed, calculate the time required for inspecting each area, and calculate the total score in combination with the weight to evaluate the efficiency of different inspection routes.

[0028] Example of the inspection route (assuming that the inspection of two areas can be completed within a single endurance time): First takeoff: Starting from the base, give priority to inspecting Industrial Area A (high weight), then fly to Residential Area C (low weight but no air control restrictions), and return to the base for charging; Subsequent takeoffs (if needed): According to the weights and air control situations of the remaining areas, plan the inspection routes for the second and subsequent inspections, including the non-no-fly part of Commercial Area B and Park Green Space D.

[0029] In step S12, the inspection UAV conducts urban inspection along the inspection route and determines the abnormal areas; based on multiple on-site images of the abnormal areas, the status information of the abnormal areas, and the spatial information of the abnormal areas, the corresponding emergency locations are determined. In the specific implementation process of the present invention, the specific steps are as follows: S121: The inspection UAV conducts urban inspection along the inspection route and determines the number of inspections of the inspection UAV within a week according to the length of the inspection route, the energy of the inspection UAV, and the corresponding time period. S122: Collect multiple urban inspection images according to the urban inspection of the inspection UAV, and determine the abnormal areas based on the multiple urban inspection images, the cloud database corresponding to the UAV, and the alarm information of the city. S123: Based on the location corresponding to the abnormal area and multiple cameras in the abnormal area, determine multiple on-site images of the abnormal area, and determine the status information of the abnormal area according to each abnormal event and the congestion event in the abnormal area. S124: Determine the corresponding emergency locations through the interaction of multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area.

[0030] In the embodiment of the present application, the inspection UAV conducts urban inspection along the inspection route and determines the number of inspections of the inspection UAV within a week according to the length of the inspection route, the energy of the inspection UAV, and the corresponding time period, which takes into account the overall consideration of the length of the inspection route, the energy of the inspection UAV, and the corresponding time period, ensures the number of inspections of the inspection UAV within a week, and realizes the autonomous inspection of the inspection UAV.

[0031] At this time, the inspection UAV conducts urban inspection along the inspection route, introducing the length of the inspection route, the energy of the inspection UAV, and the corresponding time period. At the same time, the inspection UAV flies according to the pre-set inspection route, which is comprehensively determined according to factors such as the geographical features of the city, the distribution of important facilities, historical event records, and air control requirements; during the flight of the UAV, it will follow the planned path and inspect each key area one by one to ensure full coverage.

[0032] The length of the inspection route is a key factor in determining the flight time and energy consumption of the UAV; through a geographic information system (GIS) or professional path planning software, the total length of the inspection route is accurately calculated. The energy consumption of the UAV is related to various factors such as flight distance, flight speed, load conditions, and climate conditions; according to the technical specifications of the UAV and flight test data, the energy required to fly a certain distance under different conditions is estimated.

[0033] Furthermore, during different time periods, the activity level, traffic conditions, weather conditions, etc. in the town will vary, and these factors will affect the flight efficiency and safety of the drone. For example, during the morning and evening rush hours, the traffic in the town is busy, and the drone needs to avoid these areas or adjust its flight altitude and speed to ensure safety. Considering the above factors, calculate the number of times the drone can conduct inspections safely and effectively within a week. This number needs to ensure that each key area can receive sufficient attention, while also considering the maintenance cycle and operating costs of the drone.

[0034] Furthermore, multiple town inspection images are collected according to the town inspection of the inspection drone, and the abnormal area is determined based on the multiple town inspection images, the cloud database corresponding to the drone, and the alarm information of the town, improving the accuracy of the abnormal area.

[0035] At this time, during the flight of the inspection drone, it uses its equipped high-definition camera or other sensor devices to take pictures or collect data of various areas in the town. These images or data should contain sufficient details for subsequent analysis and comparison.

[0036] The collected images or data will be uploaded to the cloud database associated with the drone in real time or regularly. The cloud database is used to store historical images, geographical information, building layouts, infrastructure data, etc. for comparison and analysis. Compare the newly collected images with the historical images in the cloud database. The purpose of the comparison is to identify areas or features that are different from the past, and these differences indicate potential problems or abnormalities.

[0037] In addition to image comparison, it is also necessary to integrate alarm information from the town, such as fire alarms, traffic accident alarms, abnormal environmental monitoring data alarms, etc. These alarm information provide additional clues to help quickly locate the abnormal area. Based on the combined results of image comparison and alarm information, the analyst determines which areas are abnormal. The abnormal areas include the locations of fires, traffic accident scenes, areas with serious environmental pollution, etc.

[0038] Specifically, assume that the inspection drone is inspecting a town named "Green Willow Town". During the flight, the drone uses its high-definition camera to take pictures of areas such as the streets, parks, and industrial areas in Green Willow Town. The taken images are uploaded to the cloud database associated with the drone in real time. The cloud database already stores the historical images, building layout diagrams, and infrastructure data of Green Willow Town. Using image recognition methods, the newly collected images are compared with the historical images in the cloud database. The method identifies an area in the industrial area with obvious smoke and fire compared to the past.

[0039] Meanwhile, the drone received a fire alarm message from the fire department of Green Willow Town. The alarm message indicated that a fire had broken out at a chemical plant in the industrial area. Combining the image comparison results and the fire alarm message, the analysts determined that the area with smoke and fire in the industrial area was the abnormal area, i.e., the fire scene.

[0040] Furthermore, based on the location corresponding to the abnormal area and multiple cameras in the abnormal area, multiple on-site images of the abnormal area were determined, and the status information of the abnormal area was determined according to each abnormal event and the congestion event in the abnormal area. At this time, once the abnormal area is determined, the system first needs to accurately locate the specific location of this area. Subsequently, according to this location information, the system will automatically call or request multiple cameras near the abnormal area. These cameras belong to the public safety monitoring system of the town, the monitoring system of private enterprises, or the built-in cameras of the drone. At the same time, the called cameras will provide on-site images of the abnormal area in real-time or on-demand. These images include high-definition video streams, static photos, or thermal imaging images, etc., depending on the type and configuration of the camera. Analyze the on-site images to identify abnormal events. Abnormal events include fires, traffic accidents, crowd gatherings, violent behaviors, etc.

[0041] Meanwhile, the system also needs to evaluate the congestion degree of the abnormal area, which is achieved by analyzing indicators such as crowd density, moving speed, and gathering behavior in the on-site images. Finally, integrate the analysis results of abnormal events and the evaluation results of congestion degree to form the status information of the abnormal area. The status information should include key elements such as the type, severity, occurrence time, influence range, and congestion degree of abnormal events.

[0042] Specifically, assume that in Green Willow Town, the patrol drone has determined an area in the industrial area as the abnormal area and initially judged it as the fire scene. The system accurately locates the location of the abnormal area and automatically calls five public safety monitoring cameras near the industrial area and the built-in camera of the drone. These cameras provide real-time video streams and static photos of the fire scene. The video stream shows the spread of the fire, the concentration of smoke, and the arrival of fire trucks. The static photos capture the comparison pictures before and after the fire.

[0043] Using image recognition, the system analyzes that there are obvious flames and smoke at the fire scene, and the fire is spreading; at the same time, the behavior analysis method identifies the chaotic behavior of the crowd when fleeing the fire scene; by analyzing the crowd density and moving speed in the on-site images, the system assesses that the degree of crowding at the fire scene is relatively high, and there is a risk of secondary disasters such as stampedes; finally, the system integrates the analysis results of the fire incident and the assessment results of the crowding degree to form the status information of the abnormal area; the status information indicates that a chemical plant in the industrial area has caught fire, the fire is spreading rapidly, the on-site smoke is thick, the crowd's behavior is chaotic when fleeing, and the degree of crowding is relatively high, posing a serious safety risk.

[0044] Therefore, by interacting the multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area, the corresponding emergency locations are determined, realizing the interaction of the multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area, and ensuring the accurate control of the emergency locations.

[0045] At this time, multiple on-site images of the abnormal area are collected, and these images provide real-time on-site situations, such as the spread of the fire, the behavior patterns of the crowd, etc.; at the same time, the system also needs to integrate the status information of the abnormal area determined in the previous steps, including the type, severity, impact range of the abnormal event, and the degree of crowding; at the same time, the spatial information refers to key elements such as the geographical environment, building structure, road network, and shelter locations in and around the abnormal area.

[0046] The system comprehensively analyzes the on-site images, status information, and spatial information; the focus of the analysis is to identify the safest and most effective emergency locations, which should be far from the hazard sources and facilitate the evacuation of personnel and the passage of rescue vehicles; based on the analysis results, the system determines one or more emergency locations; after determining the emergency locations, the system also needs to verify and adjust according to the real-time changes of the on-site situation.

[0047] In an embodiment of the present application, an example of emergency location matching is as follows:

[0048] On-site image matching degree: According to the on-site images of the abnormal area, such as the smoke and flame conditions at the fire scene, the crowd gathering and flowing conditions, etc., evaluate the matching degree of each candidate point with the on-site images; Status information matching degree: Combining the status information of the abnormal area, such as the severity of the fire, the impact range, the degree of crowding, etc., further evaluate the applicability of each candidate point; Spatial information matching degree: Considering the spatial information such as the geographical location, traffic conditions, distance from the hazard source, and the number of people that can be accommodated at the candidate points, conduct the final matching evaluation; Comprehensive matching degree: Integrate the matching degrees of the on-site images, status information, and spatial information to obtain the comprehensive matching degree of each candidate point.

[0049] According to the emergency location matching table, select the candidate point with the highest comprehensive matching degree as the emergency location; in this example, the shelter A has the highest comprehensive matching degree, so it is determined as the emergency location.

[0050] In step S13, determine the overall dispatch of each emergency dispatching vehicle according to the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatching vehicles, so as to perform emergency rescue at each emergency location; In the specific implementation process of the present invention, the specific steps are as follows: S131: When there are multiple emergency locations, collect the relative positions of the multiple emergency locations; S132: Construct a corresponding emergency area according to the multiple emergency locations and the street distribution map, and determine the corresponding emergency events based on the event traversal of the emergency area; S133: Determine the positions of each emergency dispatching vehicle based on the vehicle traversal of the emergency area, and monitor the vehicle status of each emergency dispatching vehicle in real time; determine the overall dispatch of each emergency dispatching vehicle according to the relative positions of the multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatching vehicles; S134: In the overall dispatch of each emergency dispatching vehicle, trigger the allocation of the emergency dispatching vehicles at multiple emergency locations based on the vehicle status of each emergency dispatching vehicle and the emergency events; S135: At each emergency location, trigger the emergency rescue at each emergency location based on each emergency location, the corresponding emergency space, and the distribution positions of each emergency dispatching vehicle relative to the emergency space.

[0051] In the embodiment of the present application, when there are multiple emergency locations, collect the relative positions of the multiple emergency locations; construct a corresponding emergency area according to the multiple emergency locations and the street distribution map, and determine the corresponding emergency events based on the event traversal of the emergency area, improving the accuracy of the emergency events.

[0052] At this time, when dealing with an emergency, if multiple emergency locations (such as shelters, temporary rescue centers, medical points, etc.) are determined, the system first needs to collect the relative position information of these locations.

[0053] Through preliminary analysis, determine all relevant emergency locations; use a geographic information system (GIS) or positioning technology (such as GPS) to collect the precise coordinates of each emergency location; based on the collected coordinate data, calculate the relative distances and directions between the emergency locations; store the collected location data and relative position relationships in a database for subsequent analysis and dispatching use; at the same time, ensure that the data can be updated in real time to reflect any location changes.

[0054] After collecting the relative positions of multiple emergency locations, the system needs to construct an emergency area to cover all key locations; then, traverse the events occurring within this emergency area to determine the corresponding emergency events.

[0055] According to the distribution of emergency locations, use GIS technology to draw an emergency area map that includes all key locations; collect event information occurring within the emergency area, such as fires, traffic accidents, and injuries to personnel, and conduct traversal analysis on these events; based on the results of the event traversal, determine the main types of emergency events, the scope of influence, and the severity; associate the determined emergency events with the relevant emergency locations for subsequent dispatching and response.

[0056] Specifically, assume that after an earthquake occurs in a certain city, the system determines three emergency locations: shelter A, temporary rescue center B, and medical point C; through previous analysis, it is determined that shelter A, temporary rescue center B, and medical point C are key emergency locations; using GIS technology, the coordinates of shelter A are collected as (X1, Y1), the coordinates of temporary rescue center B are (X2, Y2), and the coordinates of medical point C are (X3, Y3); the distance from shelter A to temporary rescue center B is calculated as D1, the distance from shelter A to medical point C is D2, and the distance from temporary rescue center B to medical point C is D3; at the same time, the relative directions between the points are determined; the collected coordinate data and relative position relationships are stored in the database and ensure that the data can be updated in real time.

[0057] According to the location distribution of shelter A, temporary rescue center B, and medical point C, use GIS technology to draw an emergency area map; collect event information within the emergency area and find that a fire occurred near shelter A, a traffic accident occurred near temporary rescue center B, and medical point C received multiple people injured in the earthquake; based on the results of the event traversal, it is determined that the fire is the main emergency event, and its scope of influence has expanded to the surrounding area of shelter A; the traffic accident and the injuries to personnel are secondary emergency events that need to be dealt with as soon as possible; associate the fire event with shelter A, the traffic accident with temporary rescue center B, and the injury event with medical point C; at the same time, considering the expanded scope of influence of the fire, the system also includes other affected surrounding areas in the scope of emergency consideration.

[0058] Furthermore, based on the traversal of vehicles in the emergency area, the positions of each emergency dispatching vehicle are determined, and the vehicle status of each emergency dispatching vehicle is monitored in real time; according to the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatching vehicles, the overall dispatching of each emergency dispatching vehicle is determined, which takes into account the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatching vehicles as a whole, ensures the effect of the overall dispatching of each emergency dispatching vehicle, realizes the full utilization of each emergency dispatching vehicle, and improves the effect of intelligent emergency response at multiple emergency locations.

[0059] At this time, after determining the emergency area and the emergency locations therein, the system needs to identify all available emergency dispatching vehicles in the area; use GPS or other positioning technologies to track and record the specific positions of these vehicles in real time; map the position information of these vehicles onto the emergency area map for intuitive display.

[0060] In addition to the position information, the system also needs to monitor the status of the emergency dispatching vehicles in real time, such as vehicle speed, fuel level, and whether they are idle. These status information are crucial for subsequent vehicle dispatching to ensure the scientificity and effectiveness of dispatching decisions; further, after obtaining the emergency locations, emergency events, and vehicle position and status information, the system needs to synthesize this information to formulate an overall dispatching plan; the dispatching plan should take into account factors such as the urgency of the emergency event, the needs of the emergency location, the status and position of the vehicle, and the traffic congestion situation.

[0061] Therefore, in the overall dispatching of each emergency dispatching vehicle, the allocation of emergency dispatching vehicles at multiple emergency locations is triggered based on the vehicle status of each emergency dispatching vehicle and the emergency event; in each emergency location, the emergency rescue at each emergency location is triggered based on each emergency location, the corresponding emergency space, and the distribution position of each emergency dispatching vehicle relative to the emergency space, realizing the precise control of the emergency rescue at each emergency location.

[0062] At this time, based on the overall dispatching plan, the system needs to continuously monitor the vehicle status of the emergency dispatching vehicles and the progress of the emergency events for dynamic adjustment according to the actual situation; the vehicle status includes the current position, driving speed, estimated arrival time, whether it is idle, fuel level, maintenance status, etc. of the vehicle; for the priority of the emergency event, factors such as the urgency, influence scope, and required resource type of the emergency event will also affect the allocation of the dispatching vehicle; combining the vehicle status and the emergency event information, the system uses the corresponding learning model to determine the optimal vehicle allocation plan; once the allocation plan is determined, the system immediately sends dispatching instructions to the relevant vehicles, including the target position, estimated arrival time, tasks to be performed, etc.

[0063] Furthermore, based on the specific location and scope of influence of the emergency event, determine the emergency locations where emergency rescue needs to be triggered; evaluate the conditions such as the capacity, facilities, and accessibility of the emergency spaces (such as shelters, temporary rescue centers, etc.) corresponding to each emergency location; analyze the distribution positions of each emergency dispatch vehicle relative to the emergency space, and determine the optimal rescue path and arrival time; based on the above analysis, the system sends emergency rescue instructions to the relevant emergency locations and vehicles, including rescue tasks, required resources, arrival time, etc.

[0064] Specifically, assume that a serious traffic accident has occurred in a certain city, resulting in multiple injuries, and it is necessary to quickly mobilize ambulances and fire trucks for rescue; the system continuously monitors the status of several ambulances and fire trucks in the vicinity and finds that one ambulance is on a mission and is expected to arrive in 10 minutes; while another ambulance is idle and departs immediately; at the same time, a fire truck is also idle and can be used for on-site cleaning and traffic control.

[0065] Combined with the urgency of the accident scene and the types of required resources, the system decides to dispatch the idle ambulance to the accident scene immediately for treating the injured; at the same time, dispatch the fire truck to the scene for traffic control and cleaning work; the system immediately sends dispatch instructions to the idle ambulance and fire truck, including the specific location of the accident scene, the expected arrival time, the tasks to be performed, etc.; after receiving the instructions, the ambulance and fire truck quickly depart for the accident scene; the system continuously monitors the vehicle status and arrival situation to ensure the smooth progress of the rescue mission.

[0066] Based on the specific location and scope of influence of the traffic accident, the system determines the nearby shelters and temporary rescue centers as emergency locations; the system evaluates the capacity, facility conditions, and accessibility of the shelters and temporary rescue centers and finds that the shelter can accommodate more injured people and is closer to the accident scene; while the temporary rescue center has more complete medical facilities; the system analyzes the distribution positions of the ambulances and fire trucks relative to the shelters and temporary rescue centers, and determines the optimal rescue path and arrival time; based on the above analysis, the system sends emergency rescue instructions to the idle ambulance and fire truck, requiring them to immediately go to the shelters and temporary rescue centers for treating the injured and on-site cleaning work; at the same time, the system also sends instructions to the shelters and temporary rescue centers, requiring them to be prepared to receive the injured and provide medical assistance.

[0067] At the accident scene and emergency locations, the system coordinates resources and assigns tasks through the on-site management system or APP to ensure the efficient execution of the rescue mission; the ambulances and fire trucks quickly arrive at the scene and start treating the injured and conducting traffic control; the shelters and temporary rescue centers also timely receive the injured and provide necessary medical assistance.

[0068] In an embodiment of the present application, an example of emergency location matching is as follows:

[0069] First, the system determines the nearest emergency space according to the location of the emergency event. For example, if the emergency event occurs at location A, the system will select Space 1 as the emergency space. Then, based on the distribution location of the emergency spaces, the system selects the nearest emergency dispatching vehicle. In the above example, Vehicle 1 is located near Space 1, so it is selected as the vehicle to trigger the emergency rescue. Once the matching is completed, the system updates the trigger status to "triggered", indicating that the emergency rescue at this emergency location has been activated.

[0070] In step S14, an emergency dispatching system for each emergency dispatching vehicle is determined based on the danger level of each emergency location, the working conditions of the emergency dispatching vehicles at each emergency location, and the surrounding environment of each emergency location, including: monitoring the emergency rescue at each emergency location in real time, and determining the danger level of each emergency location based on the real-time monitoring images of each emergency location, the danger levels of the objects stored at each emergency location, and the emergency scope covered by each emergency location; associating the multiple emergency dispatching vehicles configured at each emergency location, and determining the working conditions of the emergency dispatching vehicles at each emergency location based on the rescue duration, rescue scope, and rescue mode of the multiple emergency dispatching vehicles. In the specific implementation process of the present invention, the specific steps are as follows: S141: Collect multiple environmental parameters based on the environmental detection of each emergency location, and determine the surrounding environment of each emergency location according to the multiple environmental parameters and the surrounding space of each emergency location; S142: Determine the first emergency parameter according to the danger level of each emergency location and the working conditions of the emergency dispatching vehicles at each emergency location, determine the second emergency parameter according to the danger level of each emergency location and the surrounding environment of each emergency location, and determine the emergency dispatching system for each emergency dispatching vehicle based on the first emergency parameter, the second emergency parameter, and the emergency scope covered by each emergency location: comprehensively evaluate the first emergency parameter, the second emergency parameter, and the emergency scope covered by each emergency location to form a comprehensive emergency response demand map; formulate an emergency dispatching strategy according to the emergency response demand map, including the priority ranking of dispatching vehicles, resource allocation, and task deployment; transform the dispatching strategy into the emergency dispatching system for each emergency dispatching vehicle. In the embodiments of the present application, the emergency rescue at each emergency location is monitored in real time, and the danger levels of each emergency location are determined based on the real-time monitoring images of each emergency location, the danger levels of the objects stored at each emergency location, and the emergency scope covered by each emergency location. It takes into account the real-time monitoring images of each emergency location, the danger levels of the objects stored at each emergency location, and the emergency scope covered by each emergency location as a whole, ensuring the accuracy of the danger levels of each emergency location.

[0071] At this time, each emergency location is monitored continuously for 24 hours; the monitoring equipment collects key data such as on-site images, gas concentration, temperature, and humidity in real time; through wireless network or wired network, the collected data is transmitted to the central control room or cloud platform in real time.

[0072] Using image recognition technology, automatically identify abnormal situations in the monitoring images, such as flames, smoke, and crowd gathering; through behavior analysis, judge whether the behavior of on-site personnel is safe and whether there are emergency behaviors such as escaping and rescuing; at the same time, establish a list of dangerous goods, and record in detail information such as the name, quantity, and danger level of the items stored at each emergency location; according to parameters such as the chemical properties, explosion limit, and toxicity of the items, divide the danger level into three levels: high, medium, and low; combine the real-time monitoring images and gas detector data to dynamically evaluate the actual danger level of the stored items.

[0073] Using Geographic Information System (GIS), analyze information such as the geographical location, surrounding environment, and population density of each emergency location; according to factors such as the diffusion range, explosion power, and toxicity impact of dangerous goods, determine the emergency scope of each emergency location; combine the results of geographical information analysis and the emergency scope to evaluate potential risks and impacts.

[0074] Therefore, comprehensively evaluate the results of real-time monitoring image analysis, the evaluation results of the danger levels of stored items, and the analysis results of the emergency scope; according to the comprehensive evaluation results, divide the danger levels into three levels: emergency, important, and general; according to the danger levels, timely issue warning information to relevant departments and personnel and activate the corresponding emergency plans.

[0075] Specifically, assume that in a chemical industrial park, there is a warehouse (emergency location A) storing a large amount of flammable and explosive chemicals; the system uses high-definition cameras and gas detectors to monitor the images and gas concentration inside and outside the warehouse in real time; one day, the system detects smoke in the warehouse and abnormal data accompanied by an increase in the concentration of combustible gas.

[0076] The image recognition technology automatically identifies the smoke scene and determines it as a fire warning signal; according to the list of hazardous substances, the chemicals stored in the warehouse are highly dangerous; combining the real-time monitoring data, the system dynamically evaluates the risk level of this warehouse as high; using the GIS system, analyzes the geographical information and population density around the warehouse; considering the explosion power and toxicity impact of the chemicals, the system determines the emergency response area as the area within 500 meters around the warehouse.

[0077] Based on the analysis results of the comprehensive monitoring screen, risk level, and emergency response area, the system determines that the emergency level of this warehouse is critical; the system immediately issues warning information to the chemical industrial park management department, the fire department, and surrounding enterprises, activates the fire emergency plan, and organizes personnel evacuation and fire rescue.

[0078] Furthermore, by associating multiple emergency dispatch vehicles configured at each emergency location, and determining the working conditions of the emergency dispatch vehicles at each emergency location according to the rescue duration, rescue range, and rescue mode of the multiple emergency dispatch vehicles, precise control of the working conditions of the emergency dispatch vehicles at each emergency location is achieved.

[0079] At this time, integrate the basic information of each emergency location, including location coordinates, types of stored items, potential risks, etc., as well as the associated emergency dispatch vehicle information, such as vehicle number, type, current status (idle, on mission, under repair, etc.), equipment configuration, etc.; based on factors such as geographical proximity and the matching degree between vehicle type and emergency requirements, establish the association logic between the emergency location and the emergency dispatch vehicle; for example, for chemical leakage incidents, give priority to associating rescue vehicles equipped with chemical protective clothing.

[0080] Using GIS (Geographic Information System) and real-time traffic data, plan the optimal route for each emergency dispatch vehicle from its current location to the target emergency location; estimate the time required for each vehicle to reach the target location based on factors such as route length, traffic conditions, and vehicle speed; considering uncertain factors such as road condition changes and vehicle breakdowns, dynamically adjust the route planning and time estimation.

[0081] Analyze the equipment and capabilities of each emergency dispatch vehicle, such as the types and quantities of rescue supplies carried, the professional skills of rescue personnel, etc.; based on vehicle capabilities and emergency requirements, determine the rescue area that each vehicle can effectively cover; for large-scale or complex emergency events, evaluate the feasibility and efficiency of multiple emergency dispatch vehicles working together.

[0082] According to the nature, scale, urgency and other factors of the emergency event, select the appropriate rescue mode, such as rapid response, professional rescue, evacuation, etc.; as the emergency event develops, dynamically adjust the rescue mode to adapt to the new situation; therefore, comprehensively evaluate factors such as rescue duration, rescue scope, and rescue mode to determine the working status of each emergency dispatch vehicle at a specific emergency location, including whether it has arrived at the scene, is performing tasks, or is waiting for instructions; update the working status of the emergency dispatch vehicle in real time so that the command center can accurately grasp the situation on the scene and make timely and effective dispatch decisions.

[0083] Specifically, suppose a high-rise building fire occurs in a certain city (emergency location B), and multiple emergency dispatch vehicles need to be mobilized for rescue.

[0084] The system first identifies several emergency dispatch vehicles closest to the fire site, including a ladder truck, a water tanker and an ambulance; the ladder truck is suitable for high-rise rescue, the water tanker is used for firefighting, and the ambulance is responsible for treating the wounded; the system uses GIS and real-time traffic data to plan the optimal route for each vehicle and estimate the time required to reach the fire scene; for example, the ladder truck is expected to arrive within 5 minutes due to good road conditions; and the ambulance is expected to arrive within 10 minutes due to the need to detour through congested sections.

[0085] Ladder trucks can cover areas above the fire floor to evacuate and rescue personnel; water tankers are responsible for extinguishing fires on the ground and lower floors; ambulances are on standby in a safe area, ready to receive the wounded; according to the fire situation, the system selects the "quick response + professional rescue" mode, and ladder trucks and water tankers immediately set out to perform rescue missions, while ambulances wait for instructions; as the rescue progresses, the system updates the working status of each emergency dispatch vehicle in real time; for example, after the ladder truck arrives at the scene, the system records its status as "performing high-rise rescue missions"; after the water tanker arrives, the system records its status as "extinguishing fires on the ground"; when the ambulance is waiting for instructions to transfer the wounded, the system records its status as "on standby."

[0086] Furthermore, multiple environmental parameters are collected based on environmental detection of each emergency location, and the surrounding environment of each emergency location is determined according to the multiple environmental parameters and the surrounding space of each emergency location, thereby ensuring the accuracy of the surrounding environment of each emergency location.

[0087] At this time, various types of sensors are deployed at each emergency location and surrounding key areas, such as temperature sensors, humidity sensors, gas detectors (such as combustible gas detectors, toxic gas detectors), wind speed and direction sensors, sound sensors, etc.; the sensors collect environmental data in real time, including key parameters such as temperature, humidity, gas concentration, wind speed, wind direction, noise level, etc.; through wired or wireless means, the collected environmental data is transmitted to the central monitoring platform or data analysis system in real time.

[0088] Verify the collected environmental data, eliminate outliers or invalid data to ensure the accuracy and reliability of the data; analyze the change trends of environmental parameters to identify whether there are abnormal fluctuations or potential risks; compare the environmental parameters with preset safety thresholds to determine whether the current environment is in a safe state; at the same time, use Geographic Information System (GIS) to obtain the geographical information of the emergency location and its surroundings, including terrain, building layout, road network, population density, etc.; analyze the relationship between the emergency location and the surrounding space, such as the distance to important facilities, the fire resistance rating of surrounding buildings, the accessibility of evacuation routes, etc.; combine environmental parameters and spatial relationships to evaluate potential risks such as fire, explosion, and toxic gas leakage at the emergency location and its surrounding space.

[0089] Therefore, comprehensively evaluate the analysis results of environmental parameters and the analysis results of the surrounding space to form a comprehensive understanding of the environment around the emergency location; according to the comprehensive evaluation results, describe in detail the environmental conditions around the emergency location, including environmental parameters such as temperature, humidity, gas concentration, as well as spatial factors such as terrain, buildings, and roads; if there are potential risks, issue risk warning information in a timely manner to remind relevant departments and personnel to take preventive measures.

[0090] Specifically, assume that in a certain industrial park, there is a warehouse (emergency location C) storing hazardous chemicals, and it is necessary to monitor and evaluate the surrounding environment; temperature sensors, humidity sensors, combustible gas detectors, toxic gas detectors and other sensors are deployed inside, outside and in the surrounding key areas of the warehouse; one day, the system detects that the temperature inside the warehouse has risen abnormally, and at the same time the concentration of combustible gas exceeds the safety threshold.

[0091] The system analyzes the collected data and finds that the temperature continues to rise and the concentration of combustible gas also continues to increase, posing risks of fire and explosion. Using the GIS system, it analyzes the topography, building layout, and road network around the warehouse. It is found that the warehouse is adjacent to a main road, with several other warehouses and office buildings nearby, and the population density is moderate, but the evacuation routes are relatively narrow. Based on the analysis of environmental parameters and spatial relationships, the system describes the environment around the warehouse as "a high-temperature and high-concentration combustible gas environment, with dense surrounding buildings and limited evacuation routes". At the same time, the system issues a risk warning message, reminding the industrial park management department and the fire department to take emergency measures, such as evacuating the surrounding personnel and activating the fire protection plan.

[0092] Therefore, the first emergency parameter is determined according to the danger level of each emergency location and the working conditions of the emergency dispatch vehicles at each emergency location, and the second emergency parameter is determined according to the danger level of each emergency location and the surrounding environment of each emergency location. Based on the first emergency parameter, the second emergency parameter, and the emergency scope covered by each emergency location, the emergency dispatch system for each emergency dispatch vehicle is determined, taking into account the overall situation of the first emergency parameter, the second emergency parameter, and the emergency scope covered by each emergency location, ensuring the accuracy of the emergency dispatch system for each emergency dispatch vehicle.

[0093] At this time, the system has already determined the danger level based on the real-time monitoring images of each emergency location, the danger level of the stored objects, and the emergency scope. The system has grasped the working status of each emergency dispatch vehicle at a specific emergency location, including whether it has arrived at the scene, the type of task being executed, the estimated completion time, etc. Considering the danger level and the working conditions of the emergency dispatch vehicle comprehensively, a comprehensive index reflecting the urgency and effectiveness of the current emergency response is calculated, which is the first emergency parameter. The higher this parameter is, the more urgent the need for emergency response is, and the more important the task of the dispatch vehicle is.

[0094] The system has already determined the surrounding environment based on the environmental parameters and surrounding space of each emergency location. Analyze the correlation between the danger level and the surrounding environment, and evaluate the impact of the environment on the development of the danger situation. For example, a high-temperature environment accelerates the burning speed of chemicals, and narrow evacuation routes increase the risk of casualties. Based on the correlation analysis between the danger level and the environment, a comprehensive index reflecting the potential risk and influence scope is calculated, which is the second emergency parameter. The higher this parameter is, the greater the challenges faced by the emergency response are, and higher-level resources and support are needed.

[0095] Comprehensively evaluate the first emergency parameter, the second emergency parameter, and the emergency scopes covered by each emergency location to form a comprehensive emergency response demand map; according to the emergency response demand map, formulate an emergency dispatch strategy, including the priority ranking of dispatch vehicles, resource allocation, task deployment, etc.; transform the dispatch strategy into an emergency dispatch system for each emergency dispatch vehicle, including the issuance of dispatch instructions, the dynamic dispatch of dispatch vehicles, the real-time monitoring of task execution, etc.; as the emergency incident develops, continuously collect feedback information to optimize and adjust the emergency dispatch system to ensure the efficiency and effectiveness of emergency response.

[0096] Specifically, assume that in a chemical industrial park, a warehouse (emergency location D) storing inflammable and explosive chemicals catches fire (high risk level), and at the same time, the surrounding environmental conditions of the warehouse are also not conducive to fire fighting (high temperature, narrow evacuation passage, high second emergency parameter).

[0097] For the first emergency parameter, after the system detects the fire, it immediately activates the emergency response mechanism; due to the high risk level of the fire and the fact that several emergency dispatch vehicles (including fire trucks, ambulances, etc.) closest to the fire scene have not yet arrived at the scene, the system calculates that the first emergency parameter is relatively high, indicating an urgent need for emergency response.

[0098] For the second emergency parameter, the system analyzes the surrounding environment of the warehouse and finds that the high-temperature environment accelerates the combustion speed of chemicals, while the narrow evacuation passage increases the difficulty of personnel evacuation; based on these analyses, the system calculates that the second emergency parameter is also very high, indicating a huge challenge for emergency response.

[0099] By integrating the first emergency parameter, the second emergency parameter, and the emergency scope covered by the warehouse, the system constructs an emergency dispatch system; first, prioritize dispatching the nearest fire truck to the fire scene for fire fighting; second, dispatch an ambulance to standby in a safe area to prepare for receiving the wounded; at the same time, the system also dispatches other resources, such as emergency supplies, professional rescue teams, etc., to support the on-site emergency response; in addition, the system also monitors the working conditions of the dispatch vehicles and the dynamics of the fire scene in real time, and is ready to optimize and adjust the dispatch system at any time.

[0100] In an example of this application, the emergency dispatch system matching table is used to show the correlation between the risk levels of each emergency location, the working conditions of emergency dispatch vehicles, the surrounding environment, and the emergency scope.

[0101] Next, assign weights to each factor and score each emergency location based on its performance in these factors according to the actual situation; danger level: high = 3 points, medium = 2 points, low = 1 point; working condition of the emergency dispatch vehicle: not arrived at the scene = 3 points, on a mission = 2 points, on standby = 1 point (here it is assumed that the urgency of not arriving at the scene is the highest, followed by being on a mission, and the lowest is being on standby); surrounding environment: adverse = 3 points, normal = 2 points, favorable = 1 point (classified according to the degree of impact on the emergency response); emergency scope: the larger the scope, the higher the score (for example, 500 meters = 2 points, 1000 meters = 3 points, 200 meters = 1 point, and the specific score can be adjusted according to the actual situation).

[0102] First emergency parameter = danger level score × working condition score of the emergency dispatch vehicle; Second emergency parameter = danger level score × surrounding environment score; Taking the emergency location E1 as an example: First emergency parameter = 3 (high) × 3 (not arrived at the scene) = 9 points; Second emergency parameter = 3 (high) × 3 (high temperature, narrow passage) = 9 points.

[0103] Finally, comprehensively evaluate the first emergency parameter, the second emergency parameter, and the emergency scope score to construct an emergency dispatch system; Comprehensive score = First emergency parameter × weight 1 + Second emergency parameter × weight 2 + Emergency scope score × weight 3; Assuming weight 1 = 0.5, weight 2 = 0.3, weight 3 = 0.2 (these weights are adjusted according to the actual situation), then the comprehensive score of the emergency location E1 = 9 × 0.5 + 9 × 0.3 + 2 × 0.2 = 4.5 + 2.7 + 0.4 = 7.6 points; According to the comprehensive score, rank the emergency dispatch vehicles in order of priority; the higher the score of the emergency location, the higher the priority of the corresponding emergency dispatch vehicle; for example, in the case of limited resources, the system should give priority to dispatching the emergency dispatch vehicle going to the emergency location with the highest comprehensive score (such as E1).

[0104] Suppose there are three emergency locations (E1, E2, E3) and three emergency dispatch vehicles (V1, V2, V3), and the emergency dispatch system calculated according to the above method is as follows: V1: First go to E1 (the highest comprehensive score, 7.6 points); V2: Then go to E2 (assuming its comprehensive score is the second highest); V3: On standby or go to E3 (assuming its comprehensive score is the lowest, and it is judged whether reinforcement is needed according to the on-site situation).

[0105] In step S15, if the danger level of an emergency location exceeds the preset danger level threshold, trigger the aerial rescue of the rescue drone, and determine a multi-dimensional rescue event based on the rescue drone and multiple emergency dispatch vehicles; In the specific implementation process of the present invention, the specific steps are as follows: S151: In the emergency dispatch system of each emergency dispatch vehicle, dynamically monitor the danger levels of each emergency location, and compare the danger levels of each emergency location with a preset danger level threshold; S152: If the danger level of an emergency location exceeds the preset danger level threshold, trigger the emergency rescue state of that emergency location; S153: In the emergency rescue state of that emergency location, determine a supplementary rescue area based on the working conditions of each emergency dispatch vehicle in that emergency location, the rescue areas formed by each emergency dispatch vehicle, and the changing position of that emergency location; S154: Determine a spatial rescue position based on the spatial position of the supplementary rescue area, the emergency factors of the supplementary rescue area, and the area form of the supplementary rescue area; S155: Determine a multi-dimensional rescue event based on the spatial rescue position, rescue drones, and multiple emergency dispatch vehicles, and determine the collaborative rescue instructions between the rescue drones and multiple emergency dispatches according to the multi-dimensional rescue event; In the embodiments of the present application, in the emergency dispatch system of each emergency dispatch vehicle, dynamically monitor the danger levels of each emergency location, and compare the danger levels of each emergency location with a preset danger level threshold; if the danger level of an emergency location exceeds the preset danger level threshold, trigger the emergency rescue state of that emergency location; in the emergency rescue state of that emergency location, determine a supplementary rescue area based on the working conditions of each emergency dispatch vehicle in that emergency location, the rescue areas formed by each emergency dispatch vehicle, and the changing position of that emergency location, and perform targeted regulation on the change of the danger level of the emergency location, ensuring the dynamic control of each emergency location.

[0106] At this time, continuously and dynamically monitor the danger levels of each emergency location, which involves the collection and analysis of information from multiple data sources, including but not limited to on-site sensor data, video surveillance data, personnel reports, etc.; the system will evaluate the danger levels of each emergency location in real time based on these data, such as the size of a fire, the spreading speed, the number of injured people, etc.

[0107] At the same time, the system will compare these real-time evaluated danger levels with the preset danger level thresholds, which are preset based on historical data, expert experience, and safety specifications and are used to judge whether the current danger has reached the level that requires triggering an emergency response; the thresholds vary depending on different types of emergency events (such as fires, chemical leaks, natural disasters, etc.) and different emergency locations (such as residential areas, industrial areas, transportation hubs, etc.).

[0108] When the system determines that the danger level of a certain emergency location exceeds the preset threshold, it will immediately trigger the emergency rescue state at that location, which means that the system believes that the danger at that location has become so serious that immediate action is required to reduce potential losses and protect the safety of personnel; after triggering the emergency rescue state, the system will send alarm messages to relevant emergency dispatch vehicles, rescue teams and other relevant departments, instructing them to go to the scene for rescue immediately.

[0109] In the emergency rescue state, the system will determine whether additional rescue areas need to be supplemented based on the working conditions of each emergency dispatch vehicle in the emergency location (such as vehicle location, task status, remaining resources, etc.), the rescue areas they form (i.e., the areas currently in response), and the changes in the emergency location (such as the direction of fire spread, progress of personnel evacuation, etc.); supplementing the rescue area means that in addition to the areas currently in response, additional areas that need to be concerned are also included, and these areas require emergency rescue due to the spread of the danger or newly emerging risks.

[0110] When determining the supplementary rescue area, the system will comprehensively consider multiple factors, such as the spread speed of the danger, the distribution of potential hazard sources, the safety of the personnel evacuation path, etc.; the system will evaluate which areas are affected by the danger based on these factors and determine whether these areas require additional rescue resources.

[0111] Specifically, when the system determines that the danger level of a warehouse fire exceeds the preset threshold and triggers the emergency rescue state, the system immediately sends alarm messages to the nearby fire station, ambulance team and industrial park management department; the alarm messages contain information such as the specific location of the fire, the danger level, and recommended rescue measures, so that relevant departments can respond quickly.

[0112] In the example of a warehouse fire, when the system triggers the emergency rescue state, it starts to track the working conditions of fire trucks and ambulances and the spread of the fire in real time; the system finds that the fire is spreading to the east side of the warehouse, and there is a storage area for toxic chemicals adjacent to the east side; considering the serious consequences of toxic chemical leakage, the system determines that this area requires additional rescue resources; therefore, the system determines the supplementary rescue area as the storage area for toxic chemicals on the east side of the warehouse and sends a reinforcement request to relevant departments.

[0113] Furthermore, the spatial rescue location is introduced by determining the spatial rescue location based on the spatial location of the supplementary rescue area, the emergency factors of the supplementary rescue area, and the regional form of the supplementary rescue area.

[0114] At this time, the system will first conduct a detailed analysis of the spatial location of the supplementary rescue area, which includes determining the specific geographical location of the area, its relative positional relationship with surrounding important facilities (such as residential areas, hospitals, schools, etc.), and its position in the overall rescue layout. This information is crucial for subsequent determination of the priority of rescue operations, selection of appropriate rescue routes, and formulation of rescue strategies.

[0115] Next, the system will analyze the emergency factors within the supplementary rescue area. These factors include terrain and landforms, climate conditions, building structures, the distribution of potential hazard sources (such as flammable and explosive items, toxic chemicals, etc.); the system needs to evaluate the impacts of these factors on rescue operations, such as terrain obstacles hindering the passage of rescue vehicles, climate conditions affecting the performance of rescue equipment, and building structures determining the difficulty level of rescue operations.

[0116] In addition, the system will also analyze the shape of the supplementary rescue area, which includes the area, shape, boundary characteristics, etc. of the area; the analysis of the area shape helps the system more accurately evaluate the demand and distribution method of rescue resources; for example, a long and narrow area requires more rescue teams to search and rescue along the length direction, while a wide area requires more rescue equipment to cover a larger area.

[0117] Based on the above analysis, the system will determine a series of key spatial rescue positions. These positions are the points or areas that need to be focused on during rescue operations. They are the key paths for personnel evacuation, the locations that need to be extinguished first, or the places that require special rescue equipment; the system will formulate detailed rescue plans and instructions according to the importance and urgency of these positions.

[0118] Specifically, assume that in a large industrial park, a warehouse storing flammable chemicals catches fire, and the fire has spread to the adjacent toxic chemical storage area; according to the previous steps, the system has determined this toxic chemical storage area as the supplementary rescue area.

[0119] The system analysis finds that this toxic chemical storage area is located in the northeast corner of the industrial park, adjacent to a main road, but there are no other important facilities around, which means that the rescue operation can be carried out relatively independently without being interfered by other areas; at the same time, the system evaluates the emergency factors within the storage area and finds that the area is flat, but the climate conditions are relatively harsh, and there is a northeast wind blowing at present, which will accelerate the spread of the fire and the diffusion of toxic gases; in addition, the building structure within the storage area is relatively simple, but the types of chemicals stored are numerous, and some chemicals are highly flammable, explosive, and toxic.

[0120] The system analyzed the shape of the storage area and found that this area is rectangular, about 200 meters long and about 100 meters wide. Considering the spread speed of the fire and toxic gases, the system judged that rescue teams need to be set up on the north and south sides of the storage area respectively to form a pincer attack to effectively contain the spread of the fire. Based on the above analysis, the system determined the following spatial rescue positions: Set up a main fire extinguishing point on the south side of the storage area for concentrating efforts on extinguishing the fire; set up an evacuation point on the north side of the storage area for guiding personnel to evacuate safely; set up two observation points on the east and west sides of the storage area respectively for real-time monitoring of the spread of the fire and toxic gases and providing intelligence support for subsequent rescue operations.

[0121] Therefore, multi-dimensional rescue events are determined based on the spatial rescue positions, rescue drones, and multiple emergency dispatch vehicles, and the collaborative rescue instructions between the rescue drones and multiple emergency dispatch vehicles are determined according to the multi-dimensional rescue events, realizing the collaborative rescue of the rescue drones and multiple emergency dispatch vehicles.

[0122] At this time, the system will define a series of multi-dimensional rescue events according to the previously determined spatial rescue positions, combined with the availability and capabilities of the rescue drones and multiple emergency dispatch vehicles (such as fire trucks, ambulances, etc.). These events include fire extinguishing operations, personnel evacuation, material delivery, medical rescue, etc. The system will assign different priorities and resource requirements to these events according to the specific needs and urgency of each spatial rescue position.

[0123] The system needs to evaluate the capabilities of the rescue drones and emergency dispatch vehicles in performing these multi-dimensional rescue events, which includes the flight speed, payload capacity, range of the drones, and the driving speed, equipment type, personnel configuration, etc. of the emergency dispatch vehicles. The system will determine which tasks are suitable for the drones to perform, which tasks require the participation of emergency dispatch vehicles, and their collaborative methods based on these capabilities.

[0124] Based on the above analysis, the system will formulate detailed collaborative rescue instructions. These instructions will clarify the specific tasks, action routes, time nodes of each emergency dispatch vehicle and rescue drone, as well as their collaborative methods. The formulation of the instructions needs to consider various risk and uncertainty factors to ensure the efficiency, safety, and accuracy of the rescue operation.

[0125] During the process of performing the rescue operation, the system will monitor the positions and states of each emergency dispatch vehicle and rescue drone in real time, as well as the progress of the rescue operation. If it is found that the actual situation does not match the expectation or a new emergency occurs, the system will timely adjust the collaborative rescue instructions to ensure the smooth progress of the rescue operation.

[0126] Specifically, suppose a fire breaks out in a warehouse storing flammable chemicals in a large industrial park, and the fire has spread to the adjacent toxic chemical storage area; based on the previous steps, the system has determined the spatial rescue location and evaluated the capabilities of the rescue drone and emergency dispatch vehicle.

[0127] Firefighting operations: A main firefighting point was set up on the south side of the storage area, with two fire trucks responsible for spraying water to extinguish the fire; Personnel evacuation: An evacuation point was set up on the north side of the storage area, with an ambulance responsible for guiding personnel to evacuate safely and providing medical assistance when necessary; Material delivery: Considering the spread of the fire and toxic gases, the system decided to use rescue drones to deliver fire extinguishing agents and protective equipment on the east side of the storage area; Medical rescue: A temporary medical point was set up near the evacuation point, with an ambulance equipped with a medical team responsible for treating the injured.

[0128] Furthermore, the system evaluated the flight speed and load capacity of the drone, and determined that it was capable of delivering sufficient fire extinguishing agents and protective equipment to the designated location within the specified time; the system assigned specific tasks and time nodes to the fire trucks and ambulances based on their driving speed and equipment type.

[0129] Based on the above assessment, the system has developed detailed collaborative rescue instructions: Fire trucks: Two fire trucks set out from the east and west sides of the industrial park respectively, quickly reached the fire extinguishing point along the predetermined route, and began to spray water to extinguish the fire; Ambulance: One ambulance set out from the south gate of the industrial park, went to the evacuation point to guide people to evacuate, and provided medical assistance when necessary; the other ambulance was on standby at the temporary medical point, ready to receive and treat the injured; Rescue drone: The drone took off from the take-off point in the industrial park, flew along the optimal route to the east side of the storage area, and released fire extinguishing agents and protective equipment according to the predetermined delivery points and delivery quantities.

[0130] In another embodiment of the present application, a multi-dimensional rescue event matching table example is as follows:

[0131] In this multi-dimensional rescue event matching table, the rescue event type corresponding to each spatial rescue position, the type and number of emergency dispatch vehicles, the mission of the rescue drone, and specific coordination instructions are clearly stated. Rescuers can clearly understand their respective responsibilities and action requirements, thereby improving rescue efficiency.

[0132] See also Figure 3 , Figure 3 It is a schematic diagram of the structure of the overall dispatching system based on intelligent emergency in an embodiment of the present invention; like Figure 3 As shown, the overall dispatching system based on intelligent emergency response includes: The patrol route module 21 is used to determine the patrol route of the patrol UAV relative to the town based on the town distribution map, the grade coefficients of each area of the town, and the patrol UAV; The emergency location module 22 is used to have the patrol UAV conduct town patrol along the patrol route and determine the abnormal area; determine the corresponding emergency location based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area; The dispatching module 23 is used to determine the overall dispatching of each emergency dispatching vehicle according to the relative positions of multiple emergency locations, the corresponding emergency events, and the position of the emergency dispatching vehicle, so as to conduct emergency rescue at each emergency location; The emergency dispatching system module 24 is used to determine the emergency dispatching system of each emergency dispatching vehicle according to the danger level of each emergency location, the working conditions of the emergency dispatching vehicles in each emergency location, and the surrounding environment of each emergency location, including: monitoring the emergency rescue at each emergency location in real time, and determining the danger level of each emergency location according to the real-time monitoring images of each emergency location, the danger levels of the objects stored at each emergency location, and the emergency coverage areas covered by each emergency location; associating the multiple emergency dispatching vehicles configured at each emergency location, and determining the working conditions of the emergency dispatching vehicles in each emergency location according to the rescue durations of the multiple emergency dispatching vehicles, the rescue ranges of the multiple emergency dispatching vehicles, and the rescue modes of the multiple emergency dispatching vehicles; The multi-dimensional rescue event module 25 is used to trigger the aerial rescue of the rescue UAV if the danger level of an emergency location exceeds the preset danger level threshold, and determine the multi-dimensional rescue event according to the rescue UAV and multiple emergency dispatching vehicles.

[0133] Arbitrarily combine the technical features of the above embodiments. For the sake of concise description, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

Claims

1. An overall dispatching method based on intelligent emergency response, characterized in that: include: Determine the inspection route of the inspection drone relative to the town based on the town distribution map, the level coefficients of various areas of the town, and the inspection drone; The inspection drone conducts town inspections along the inspection route and identifies abnormal areas; Determine a corresponding emergency location based on a plurality of on-site images of the abnormal area, state information of the abnormal area, and spatial information of the abnormal area; Determine the overall dispatch of each emergency dispatch vehicle according to the relative positions of multiple emergency locations, corresponding emergency events and the positions of emergency dispatch vehicles, so as to provide emergency rescue at each emergency location; Determine the emergency dispatch system of each emergency dispatch vehicle according to the danger level of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding environment of each emergency location, including: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location according to the real-time monitoring screen of each emergency location, the danger level of objects stored in each emergency location, and the emergency range covered by each emergency location; associate multiple emergency dispatch vehicles configured at each emergency location, and determine the working conditions of the emergency dispatch vehicles in each emergency location according to the rescue time of multiple emergency dispatch vehicles, the rescue range of multiple emergency dispatch vehicles, and the rescue mode of multiple emergency dispatch vehicles; If the danger level of an emergency location exceeds the preset danger level threshold, an air rescue by a rescue drone is triggered, and a multi-dimensional rescue event is determined based on the rescue drone and multiple emergency dispatch vehicles.

2. The overall dispatching method based on intelligent emergency response according to claim 1 is characterized in that: The method of determining the inspection route of the inspection drone relative to the town based on the town distribution map, the level coefficients of each area of ​​the town, and the inspection drone comprises: Determine a town distribution map based on the location information of the town, the name of the town and the town database; Determine each area based on the town distribution map, the corresponding regional functions and the street route map, and determine the level coefficient of each area in the town based on the spatial location of each area, the enterprise distribution map of each area and the previous emergency data of each area; The level coefficients of each area, each air control area in the town distribution map, and the models of the inspection drones are interacted with, and the inspection route of the inspection drone relative to the town is determined based on the interaction of the level coefficients of each area, each air control area in the town distribution map, and the models of the inspection drones.

3. The overall dispatching method based on intelligent emergency response according to claim 2 is characterized in that: The inspection drone conducts town inspections along the inspection route and identifies abnormal areas; Determining a corresponding emergency location based on multiple on-site images of the abnormal area, state information of the abnormal area, and spatial information of the abnormal area includes: The inspection drone conducts town inspections along the inspection route, and determines the number of inspections the inspection drone performs within a week based on the length of the inspection route, the energy of the inspection drone, and the corresponding time period; Collect multiple town inspection images according to the town inspection by the inspection drone, and determine the abnormal area according to the multiple town inspection images, the cloud database corresponding to the drone and the alarm information of the town; Determine multiple on-site images of the abnormal area based on the position corresponding to the abnormal area and multiple cameras in the abnormal area, and determine state information of the abnormal area according to each abnormal event in the abnormal area and a congestion event in the abnormal area; The corresponding emergency location is determined according to the interaction of multiple on-site images of the abnormal area, state information of the abnormal area and spatial information of the abnormal area.

4. The overall dispatching method based on intelligent emergency response according to claim 1 is characterized in that: The overall dispatch of each emergency dispatch vehicle is determined according to the relative positions of the plurality of emergency locations, the corresponding emergency events and the positions of the emergency dispatch vehicles to provide emergency rescue to each emergency location, including: When there are multiple emergency locations, collecting the relative positions of the multiple emergency locations; Constructing a corresponding emergency area according to a plurality of emergency locations and a street distribution map, and determining a corresponding emergency event based on event traversal of the emergency area; The position of each emergency dispatch vehicle is determined based on the vehicle traversal of the emergency area, and the vehicle status of each emergency dispatch vehicle is monitored in real time; the overall dispatch of each emergency dispatch vehicle is determined according to the relative positions of multiple emergency locations, corresponding emergency events and the position of the emergency dispatch vehicle.

5. The overall dispatching method based on intelligent emergency response according to claim 4 is characterized in that: The overall dispatch of each emergency dispatch vehicle is determined according to the relative positions of the plurality of emergency locations, the corresponding emergency events and the positions of the emergency dispatch vehicles to provide emergency rescue to each emergency location, and further includes: In the overall dispatch of each emergency dispatch vehicle, the allocation of emergency dispatch vehicles to multiple emergency locations is triggered based on the vehicle status of each emergency dispatch vehicle and the emergency event; In each emergency location, emergency rescue of each emergency location is triggered based on each emergency location, a corresponding emergency space, and a distribution position of each emergency dispatch vehicle relative to the emergency space.

6. The overall dispatching method based on intelligent emergency response according to claim 1 is characterized in that: The emergency dispatch system of each emergency dispatch vehicle is determined according to the danger level of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding environment of each emergency location, including: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location according to the real-time monitoring screen of each emergency location, the danger level of objects stored in each emergency location, and the emergency range covered by each emergency location; associating multiple emergency dispatch vehicles configured at each emergency location, determining the working conditions of the emergency dispatch vehicles in each emergency location according to the rescue time of multiple emergency dispatch vehicles, the rescue range of multiple emergency dispatch vehicles, and the rescue mode of multiple emergency dispatch vehicles, including: Based on the environmental detection of each emergency location, a plurality of environmental parameters are collected, and the surrounding environment of each emergency location is determined according to the plurality of environmental parameters and the surrounding space of each emergency location.

7. The overall dispatching method based on intelligent emergency response according to claim 6 is characterized in that: The emergency dispatch system for each emergency dispatch vehicle is determined according to the danger level of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding environment of each emergency location, including: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location according to the real-time monitoring screen of each emergency location, the danger level of objects stored in each emergency location, and the emergency range covered by each emergency location; associating multiple emergency dispatch vehicles configured at each emergency location, determining the working conditions of the emergency dispatch vehicles in each emergency location according to the rescue time of multiple emergency dispatch vehicles, the rescue range of multiple emergency dispatch vehicles, and the rescue mode of multiple emergency dispatch vehicles, and also including: Determine the first emergency parameter according to the hazard level of each emergency location and the working conditions of the emergency dispatch vehicles in each emergency location; determine the second emergency parameter according to the hazard level of each emergency location and the surrounding environment of each emergency location; determine the emergency dispatch system of each emergency dispatch vehicle based on the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location: conduct a comprehensive assessment of the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location to form a comprehensive emergency response demand map; formulate an emergency dispatch strategy based on the emergency response demand map, including priority sorting, resource allocation, and task deployment of dispatch vehicles; and convert the dispatch strategy into an emergency dispatch system for each emergency dispatch vehicle.

8. The overall dispatching method based on intelligent emergency response according to claim 1 is characterized in that: If the danger level of an emergency location exceeds a preset danger level threshold, an air rescue by a rescue drone is triggered, and a multi-dimensional rescue event is determined based on the rescue drone and multiple emergency dispatch vehicles, including: In the emergency dispatch system of each emergency dispatch vehicle, the danger level of each emergency location is dynamically monitored, and the danger level of each emergency location is compared with the preset danger level threshold; If the danger level of an emergency location exceeds the preset danger level threshold, the emergency rescue state of the emergency location is triggered.

9. The overall dispatching method based on intelligent emergency response according to claim 8 is characterized in that: If the danger level of an emergency location exceeds a preset danger level threshold, an air rescue by a rescue drone is triggered, and a multi-dimensional rescue event is determined based on the rescue drone and multiple emergency dispatch vehicles, and further includes: In the emergency rescue state of the emergency position, a supplementary rescue area is determined according to the working conditions of each emergency dispatch vehicle in the emergency position, the rescue area formed by each emergency dispatch vehicle, and the changed position of the emergency position; Determine the spatial rescue position according to the spatial position of the supplementary rescue area, the emergency factors of the supplementary rescue area and the regional form of the supplementary rescue area; Multi-dimensional rescue events are determined based on the spatial rescue location, rescue drones, and multiple emergency dispatch vehicles, and coordinated rescue instructions between rescue drones and multiple emergency dispatches are determined based on the multi-dimensional rescue events.

10. An overall dispatching system based on intelligent emergency response, characterized in that: The overall dispatching system based on smart emergency is applied to the overall dispatching method based on smart emergency as claimed in any one of claims 1 to 9, and the overall dispatching system based on smart emergency includes: The inspection route module is used to determine the inspection route of the inspection drone relative to the town based on the town distribution map, the level coefficients of various areas of the town and the inspection drone; The emergency location module is used for the inspection drone to inspect the town along the inspection route and determine the abnormal area; the corresponding emergency location is determined based on multiple on-site images of the abnormal area, the status information of the abnormal area, and the spatial information of the abnormal area; A dispatch module, used to determine the overall dispatch of each emergency dispatch vehicle according to the relative positions of multiple emergency locations, corresponding emergency events and the positions of emergency dispatch vehicles, so as to provide emergency rescue to each emergency location; The emergency dispatch system module is used to determine the emergency dispatch system of each emergency dispatch vehicle according to the danger level of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding environment of each emergency location, including: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location according to the real-time monitoring screen of each emergency location, the danger level of objects stored in each emergency location, and the emergency range covered by each emergency location; associating multiple emergency dispatch vehicles configured at each emergency location, and determining the working conditions of the emergency dispatch vehicles in each emergency location according to the rescue time of multiple emergency dispatch vehicles, the rescue range of multiple emergency dispatch vehicles, and the rescue mode of multiple emergency dispatch vehicles; The multi-dimensional rescue event module is used to trigger the aerial rescue of the rescue drone if the danger level of an emergency location exceeds the preset danger level threshold, and determine the multi-dimensional rescue event based on the rescue drone and multiple emergency dispatch vehicles.

Images