Overall dispatching method and system based on intelligent emergency response

Abstract

The present invention discloses an overall dispatching method and system based on smart emergency response. The present invention relates to the technical field based on smart emergency response. 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 positions of the emergency dispatching vehicles, so as to carry out emergency rescue at each emergency location, thereby ensuring the effect of the overall dispatching of each emergency dispatching vehicle and improving the effect of smart emergency response at multiple emergency locations. Therefore, the emergency dispatching system of each emergency dispatching vehicle is determined 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; if the danger level of an emergency location exceeds the preset danger level threshold, the air rescue of the rescue drone is triggered, and multi-dimensional rescue events are determined according to the rescue drone and multiple emergency dispatching vehicles, thereby realizing the coordinated rescue of the rescue drone and multiple emergency dispatching vehicles.

Description

Technical Field

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

[0002] With the development of science and technology, various towns have gradually implemented control over emergency events and carried out corresponding smart emergency responses for various areas in the town. However, in the existing smart emergency response, multiple emergency locations are introduced, and separate emergency handling is carried out according to multiple emergency locations. Single-dimensional emergency control is carried out according to the preset emergency dispatch vehicles, and the overall dispatch of each emergency dispatch vehicle cannot be achieved. Summary of the Invention

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

[0004] The embodiment of the present invention provides an overall dispatching method based on smart emergency response, comprising: determining an inspection route of an inspection drone relative to the town based on a town distribution map, a level coefficient of each area of ​​the town, and an inspection drone; the inspection drone conducts town inspections along the inspection route and determines abnormal areas; determining corresponding emergency locations based on multiple on-site images of the abnormal areas, status information of the abnormal areas, and spatial information of the abnormal areas; determining the overall dispatching of each emergency dispatch vehicle based on the relative positions of multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatch vehicles, so as to carry out emergency rescue at each emergency location; determining the overall dispatching of each emergency dispatch vehicle based on the risk level of each emergency location, the working conditions of the emergency dispatch vehicles in each emergency location, and the surrounding areas of each emergency location. The edge environment determines the emergency dispatch system of each emergency dispatch vehicle, including: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location based on the real-time monitoring screen of each emergency location, the danger level of objects stored at 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 status of the emergency dispatch vehicles in each emergency location based on the rescue time, rescue range, and rescue modes of multiple emergency dispatch vehicles; if the danger level of an emergency location exceeds the preset danger level threshold, the air rescue of the rescue drone is triggered, and multi-dimensional rescue events are determined based on the rescue drone and multiple emergency dispatch vehicles.

[0005] An embodiment of the present invention provides an overall dispatching system based on smart emergency response, which is applied to the above-mentioned overall dispatching method based on smart emergency response. The overall dispatching system based on smart emergency response includes:

[0006] 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 coefficient of each area of ​​the town, and the inspection drone;

[0007] The emergency location module is used for the inspection drone to conduct town inspections along the inspection route and identify abnormal areas; 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;

[0008] The dispatch module is used to determine the overall dispatch of each emergency dispatch vehicle based on the relative positions of multiple emergency locations, the corresponding emergency events and the positions of the emergency dispatch vehicles, so as to provide emergency rescue to each emergency location;

[0009] The emergency dispatch system module is used to determine the emergency dispatch system of each emergency dispatch vehicle based on the danger level of each emergency location, the working status of the emergency dispatch vehicle 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 based on 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 status of the emergency dispatch vehicles in each emergency location based on the rescue time, rescue range, and rescue mode of multiple emergency dispatch vehicles;

[0010] The multi-dimensional rescue event module is used to trigger an air rescue by a rescue drone if the danger level of an emergency location exceeds a preset danger level threshold, and determine a multi-dimensional rescue event based on the rescue drone and multiple emergency dispatch vehicles.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] In an embodiment of the present invention, through the method in the embodiment of the present invention, the inspection route of the inspection drone relative to the town is determined based on the town distribution map, the grade coefficients of various areas of the town and the inspection drone; the inspection drone patrols the town along the inspection 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 dispatch of each emergency dispatch vehicle is determined according to the relative positions of multiple emergency locations, the corresponding emergency events and the positions of the emergency dispatch vehicle, so as to carry out 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 positions of the emergency dispatch vehicle, ensures the overall dispatch effect of each emergency dispatch vehicle, realizes the full utilization of each emergency dispatch vehicle, and improves the effect of smart emergency response at multiple emergency locations.

[0013] Therefore, 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; if the danger level of an emergency location exceeds the preset danger level threshold, the air rescue of the rescue drone is triggered, and multi-dimensional rescue events are determined based on the rescue drone and multiple emergency dispatch vehicles, realizing the coordinated rescue of the rescue drone and multiple emergency dispatch vehicles, and carrying out targeted regulation of the changes in the danger level of the emergency location, ensuring the dynamic control of each emergency location. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of an application scenario of an overall dispatching method based on intelligent emergency response in one embodiment;

[0015] Figure 2 1 is a flow chart of an overall dispatching method based on smart emergency response in an embodiment of the present invention;

[0016] Figure 3 It is a schematic diagram of the structural composition of the overall dispatching system based on intelligent emergency in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0018] The overall dispatching method based on smart emergency provided by this application is applied to Figure 1 In the application environment shown, the computer 102 communicates with the server 104 via a network. The computer 102 is not limited to various personal computers, servers, and campus management systems, and the server 104 is implemented as an independent server or a server cluster composed of servers.

[0019] See also Figures 1 to 3 A smart emergency-based overall dispatching method is applied to a smart emergency-based overall dispatching scenario; the smart emergency-based overall dispatching method includes:

[0020] Step S11: determining an 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;

[0021] Step S12: The inspection drone conducts town inspection along the inspection route and identifies abnormal areas; and determines corresponding emergency locations based on multiple on-site images of the abnormal areas, status information of the abnormal areas, and spatial information of the abnormal areas;

[0022] Step S13: determining the overall dispatch of each emergency dispatch vehicle based on the relative positions of the multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatch vehicles, so as to provide emergency rescue to each emergency location;

[0023] Step S14: Determining the emergency dispatch system of each emergency dispatch vehicle based on the danger level of each emergency location, the working status of the emergency dispatch vehicle 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 based on the real-time monitoring screen of each emergency location, the danger level of objects stored at 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 status of the emergency dispatch vehicles in each emergency location based on the rescue time, rescue range, and rescue modes of the multiple emergency dispatch vehicles;

[0024] Step S15: 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;

[0025] In step S11, the inspection route of the inspection drone relative to the town is determined based on the town distribution map, the level coefficients of each area of ​​the town, and the inspection drone;

[0026] In the specific implementation process of the present invention, the specific steps are:

[0027] S111: Determine a town distribution map based on the town location information, the town name, and the town database;

[0028] S112: Determine each area based on the town distribution map, corresponding regional functions, and 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;

[0029] S113: Interact with the level coefficient of each area, each air control area in the town distribution map, and the model of the patrol drone, and determine the patrol route of the patrol drone relative to the town based on the interaction of the level coefficient of each area, each air control area in the town distribution map, and the model of the patrol drone.

[0030] In an embodiment of the present application, a town distribution map is determined based on the location information of the town, the name of the town and the town database, which is compatible with the overall consideration of the location information of the town, the name of the town and the town database, and ensures the accuracy of the town distribution map.

[0031] At this point, town location information, town names, and a town database were introduced. Town location information includes the town's geographic coordinates, namely longitude and latitude, which are obtained through GPS positioning devices. Town names are key information for identifying and distinguishing different towns. This information is obtained from sources such as official government websites, census data, and mapping services. The town database is a resource repository containing detailed town information, including administrative divisions, demographics, infrastructure, land use, and other information. When accessing the database, you need to use an appropriate query language or API to obtain the required information.

[0032] Integrate the location information, name of the town, and other relevant information in the town database, and use GIS software or online mapping services to generate a town distribution map based on the integrated information; the distribution map should clearly show the town’s boundaries, main roads, key facilities (such as hospitals, fire stations, police stations), etc.

[0033] Furthermore, each area is determined based on the town distribution map, the corresponding regional functions and the street route map, and the grade coefficient of each area of ​​the town is determined based on the spatial location of each area, the enterprise distribution map of each area and the previous emergency data of each area, thereby achieving control of the grade coefficient of each area of ​​the town.

[0034] At this time, the town distribution map generated in S111 is used in combination with regional functional 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 area, factors such as the area's boundaries, main functions, and population density need to be considered.

[0035] The street map provides detailed information about the road network within the town, including main roads, secondary roads, alleys, etc.; while the business distribution map shows the location, type and size of businesses in the town. This information is crucial for assessing the emergency risk of the region, especially high-risk businesses such as chemical plants, gas stations, large storage facilities, etc., which have a significant impact in emergency events.

[0036] Previous emergency data of various regions were introduced, including records of historical emergency events, response time, rescue effects, etc. These data were analyzed to identify which regions were more prone to emergency events, as well as the nature and scale of these events. Based on the above information, a grade coefficient was assigned to each region. The grade coefficient should reflect the emergency risk level of the region, and high-risk areas should be assigned a higher coefficient.

[0037] Therefore, the level coefficients of each area, the various air control areas in the town distribution map, and the models of the patrol drones are interacted, and based on the interaction of the level coefficients of each area, the various air control areas in the town distribution map, and the models of the patrol drones, the patrol routes of the patrol drones relative to the town are determined, thereby achieving precise control of the patrol routes of the patrol drones relative to the town.

[0038] At this time, the grade coefficients of each area determined previously are used as input information; the grade coefficients reflect the emergency risk levels of different areas and are an important basis for planning inspection routes; areas with high grade coefficients should be inspected first to ensure a rapid response when an emergency occurs.

[0039] Air control areas include no-fly zones, restricted-fly zones, and restricted flight altitudes. The existence of these areas has a direct impact on the flight routes of drones. When planning inspection routes, it is necessary to ensure that drones do not violate air traffic management regulations and avoid entering no-fly zones or exceeding restricted flight altitudes. At the same time, different models of inspection drones have different performance parameters, such as flight speed, flight time, camera resolution, sensor type, etc. When planning inspection routes, it is necessary to consider the performance limitations of the drone to ensure that the route is within the capabilities of the drone. For example, for drones with shorter flight times, it is necessary to plan shorter inspection paths or set relay points.

[0040] The information of the grade coefficient of each area, air control area and drone model is interacted, and these factors are comprehensively considered. Path planning or manual decision-making is used to determine the best inspection route; the inspection route should give priority to covering areas with high grade coefficients, while avoiding entering air control areas and ensuring that it is within the performance range of the drone; after the inspection route is initially determined, 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.

[0041] Specifically, assume that we continue to plan the inspection route of the inspection drone for "Green Willow Town"; the following are the specific operation steps: the grade coefficients of various areas in Green Willow Town have been determined before, with Industrial Area B having the highest grade, Commercial Area C taking the second place, and Residential Area A and Park Green Space D having the lower grades; according to the town distribution map, we know that there is a no-fly zone over Green Willow Town, located near the town center, including part of Commercial Area C and the edge of Residential Area A; in addition, there are some restricted flight zones, mainly located near Industrial Area B, which have restrictions on flight altitude due to the presence of high-risk facilities such as chemical plants.

[0042] The inspection drone model used is the DJI Matrice 600 Pro, which has a long flight time and a high-resolution camera, but its flight altitude is restricted (no more than 400 meters). Taking into account the grade coefficient, air control area, and drone model, the following inspection route was planned: first, the drone takes off from the base, bypasses the no-fly zone, and prioritizes the inspection of 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 inspect Residential Area A (avoiding the edge of the no-fly zone). Finally, if time permits, a simple inspection of Park Green Space D is carried out. The entire route is kept at a low altitude (no more than the restricted flight altitude) to ensure safety and make full use of the drone's camera resolution.

[0043] After preliminary route planning, it was found that the drone needed to detour a long distance when flying from industrial area B to commercial area C. To optimize the route, the flight path was adjusted so that the drone could more directly cross the non-controlled area between the two areas. After verification, the optimized route was feasible and effective in actual operation, and was able to complete the inspection mission within the drone's flight time.

[0044] In one embodiment of the present application, the level coefficients of each area, the air control area information in the town distribution map, and the model parameters of the inspection drone are integrated; a matching table is constructed to record the correspondence between this information; the matching table includes the area name, level coefficient, air control status (no-fly / restricted / unrestricted), drone model and its performance parameters (such as flight time, flight speed, maximum flight altitude, etc.);

[0045] Match table example:

[0046]

[0047] Furthermore, a weight is assigned to each area according to its level coefficient. The higher the weight, the higher the inspection priority of the area. Taking into account the restrictions of the air control area on the drone's flight route, the inspection order is adjusted or a detour route is planned. According to the performance parameters of the drone, such as flight time and flight speed, the time required for inspecting each area is calculated, and the total score is calculated based on the weight to evaluate the efficiency of different inspection routes.

[0048] Inspection route example (assuming that two areas can be inspected within a single flight time):

[0049] First takeoff: Starting from the base, prioritize inspecting Industrial Area A (high weight), then fly to Residential Area C (low weight but no air traffic control restrictions), and return to the base to recharge; Subsequent takeoffs (if necessary): Plan the second and subsequent inspection routes based on the weights and air traffic control conditions of the remaining areas, including the non-restricted part of Commercial Area B and Park Green Space D.

[0050] In step S12, the inspection drone conducts town inspection along the inspection route and identifies abnormal areas; and determines corresponding emergency locations based on multiple on-site images of the abnormal areas, status information of the abnormal areas, and spatial information of the abnormal areas.

[0051] In the specific implementation process of the present invention, the specific steps are:

[0052] S121: 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;

[0053] S122: Collect multiple town inspection images based on the inspection of the inspection drone, and determine abnormal areas based on the multiple town inspection images, a cloud database corresponding to the drone, and alarm information of the town;

[0054] S123: determining 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 determining state information of the abnormal area according to each abnormal event and congestion event in the abnormal area;

[0055] S124: Determine a corresponding emergency location based on the interaction of multiple on-site images of the abnormal area, state information of the abnormal area, and spatial information of the abnormal area.

[0056] In an embodiment of the present application, the inspection drone conducts town inspections along the inspection route, and determines the number of inspections the inspection drone makes within a week based on the length of the inspection route, the energy of the inspection drone, and the corresponding time period. This takes into account the overall considerations of the length of the inspection route, the energy of the inspection drone, and the corresponding time period, ensures the number of inspections the inspection drone makes within a week, and realizes autonomous inspections by the inspection drone.

[0057] At this time, the inspection drone conducts town inspections along the inspection route, introducing the length of the inspection route, the energy of the inspection drone and the corresponding time period. At the same time, the inspection drone flies according to the pre-set inspection route. This route is determined based on factors such as the town’s geographical characteristics, the distribution of important facilities, historical event records, and air control requirements. During the flight, the drone will patrol each key area one by one according to the planned path to ensure full coverage.

[0058] The length of the inspection route is a key factor in determining a drone's flight time and energy consumption. Using a geographic information system (GIS) or specialized path-planning software, the total length of the inspection route can be accurately calculated. A drone's energy consumption is dependent on a variety of factors, including flight distance, speed, payload, and weather conditions. Based on the drone's technical specifications and flight test data, the energy required to fly a specific distance under different conditions can be estimated.

[0059] Furthermore, urban activity, traffic conditions, and weather conditions vary across time, impacting drone flight efficiency and safety. For example, during rush hour, when traffic is heavy, drones need to avoid these areas or adjust their altitude and speed to ensure safety. Taking all these factors into account, we calculate the number of safe and effective drone inspections we can perform in a week. This number ensures that each key area receives adequate attention, while also considering the drone's maintenance cycle and operating costs.

[0060] Furthermore, multiple town inspection images are collected based on the town inspection by the inspection drone, and abnormal areas are determined based on the multiple town inspection images, the cloud database corresponding to the drone, and the alarm information of the town, thereby improving the accuracy of the abnormal areas.

[0061] At this time, during the flight, the inspection drone uses its high-definition camera or other sensor equipment to take pictures or collect data from various areas of the town. These images or data should contain sufficient details for subsequent analysis and comparison.

[0062] The collected images or data will be uploaded to the cloud database associated with the drone in real time or periodically; the cloud database is used to store historical images, geographic information, building layout, infrastructure data, etc. for comparison and analysis; the newly collected images are compared 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 anomalies.

[0063] In addition to image comparison, it is also necessary to integrate alarm information from towns and cities, such as fire alarms, traffic accident alarms, and abnormal environmental monitoring data alarms. These alarm information provides additional clues to help quickly locate abnormal areas; by combining image comparison results and alarm information, analysts determine which areas have abnormalities; abnormal areas include places where fires occur, traffic accident scenes, areas with severe environmental pollution, etc.

[0064] Specifically, suppose that a patrol drone is inspecting a town called "Green Willow Town"; during the flight, the drone uses its high-definition camera to shoot streets, parks, industrial areas and other areas of Green Willow Town; the captured images are uploaded to the cloud database associated with the drone in real time; the cloud database has stored historical images, building layout maps and infrastructure data of Green Willow Town; using image recognition, the newly collected images are compared with historical images in the cloud database; the method identifies that an area in the industrial zone has obvious smoke and flames compared with the past.

[0065] At the same time, the drone received a fire alarm from the Lvliu Town Fire Department, which indicated that a fire had occurred at a chemical plant in the industrial zone. Combining the image comparison results with the fire alarm information, analysts determined that the area in the industrial zone where smoke and flames appeared was an abnormal area, namely the fire scene.

[0066] Furthermore, based on the position corresponding to the abnormal area and the multiple cameras in the abnormal area, multiple on-site images of the abnormal area are determined, and based on each abnormal event in the abnormal area and the congestion event in the abnormal area, state information of the abnormal area is determined;

[0067] Once an abnormal area is identified, the system first needs to pinpoint its location. Based on this location information, the system automatically calls or requests multiple cameras near the abnormal area. These cameras may be part of a town's public security surveillance system, a private enterprise's surveillance system, or even drones' built-in cameras. These cameras provide real-time or on-demand images of the abnormal area. These images may include high-definition video streams, still photos, or thermal images, depending on the camera type and configuration. These images are then analyzed to identify abnormal events, such as fires, traffic accidents, crowds, and acts of violence.

[0068] At the same time, the system also needs to evaluate the degree of congestion in the abnormal area, which is achieved by analyzing indicators such as crowd density, movement speed, and gathering behavior in the on-site image; finally, the analysis results of the abnormal event and the assessment results of the congestion level are integrated to form the status information of the abnormal area; the status information should include key elements such as the type, severity, occurrence time, impact range, and congestion level of the abnormal event.

[0069] Specifically, suppose in Lvliu Town, an inspection drone has identified an area in the industrial zone as an abnormal area and preliminarily judged it to be a fire scene; the system accurately locates the position of the abnormal area and automatically calls five public security surveillance cameras near the industrial zone and the drone's own camera. These cameras provide real-time video streams and still photos of the fire scene; the video stream shows the spread of flames, the concentration of smoke, and the arrival of fire trucks; the still photos capture the comparison of the pictures before and after the fire.

[0070] Using image recognition, the system analyzed that there were obvious flames and smoke at the fire scene, and the fire was spreading; at the same time, behavioral analysis identified the chaotic behavior of the crowd when fleeing the fire scene; by analyzing the crowd density and movement speed in the scene image, the system assessed that the fire scene was highly crowded and there was a risk of secondary disasters such as trampling; finally, the system integrated the analysis results of the fire event and the assessment results of the degree of congestion to form the status information of the abnormal area; the status information indicated that a fire broke out in a chemical plant in the industrial zone, the fire spread rapidly, the smoke at the scene was thick, the crowd's behavior was chaotic when fleeing, and the degree of congestion was high, posing a serious safety risk.

[0071] Therefore, the corresponding emergency location is determined based on 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, thereby realizing 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, and ensuring the precise control of the emergency location.

[0072] At this point, multiple on-site images of the abnormal area are collected. These images provide real-time on-site conditions, such as the spread of the fire and the behavior patterns of the crowd. At the same time, the system also needs to integrate the abnormal area status information determined in the previous step, including the type, severity, impact range, and crowd congestion of the abnormal event. At the same time, spatial information refers to key elements such as the geographical environment, building structure, road network, and shelter location of the abnormal area and its surroundings.

[0073] The system conducts a comprehensive analysis of on-site images, status information, and spatial information. The analysis focuses on identifying the safest and most effective emergency locations, which should be far away from sources of danger and convenient for 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 location, the system also needs to verify and adjust it according to real-time changes in the on-site situation.

[0074] In one embodiment of the present application, the emergency location matching table example:

[0075]

[0076] On-site image matching: Based on the on-site image of the abnormal area, such as the smoke and flames at the fire scene, and the crowd gathering and flow, the degree of matching between each candidate point and the on-site image is evaluated; state information matching: Combined with the state information of the abnormal area, such as the severity of the fire, the scope of impact, and the degree of crowd congestion, the applicability of each candidate point is further evaluated; spatial information matching: Considering the candidate point's geographical location, traffic conditions, distance from the hazard source, capacity, and other spatial information, the final matching evaluation is carried out; comprehensive matching: The matching degrees of the on-site image, state information, and spatial information are combined to obtain the comprehensive matching degree of each candidate point.

[0077] According to the emergency location matching table, the candidate point with the highest comprehensive matching degree is selected as the emergency location; in this example, shelter A has the highest comprehensive matching degree and is therefore determined as the emergency location.

[0078] In step S13, the overall dispatch of each emergency dispatch vehicle is determined based on the relative positions of the multiple emergency locations, the corresponding emergency events, and the positions of the emergency dispatch vehicles, so as to provide emergency rescue to each emergency location;

[0079] In the specific implementation process of the present invention, the specific steps are:

[0080] S131: When there are multiple emergency locations, collect relative positions of the multiple emergency locations;

[0081] S132: Constructing a corresponding emergency area according to the plurality of emergency locations and the street distribution map, and determining a corresponding emergency event based on event traversal of the emergency area;

[0082] S133: Determine the location of each emergency dispatch vehicle based on the vehicle traversal of the emergency area, and monitor the vehicle status of each emergency dispatch vehicle in real time; determine the overall dispatch of each emergency dispatch vehicle based on the relative positions of multiple emergency locations, corresponding emergency events, and the location of the emergency dispatch vehicle;

[0083] S134: In the overall dispatch of each emergency dispatch vehicle, 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;

[0084] S135: At each emergency location, trigger emergency rescue at each emergency location based on each emergency location, a corresponding emergency space, and a distribution position of each emergency dispatch vehicle relative to the emergency space.

[0085] In an embodiment of the present application, when there are multiple emergency locations, the relative positions of the multiple emergency locations are collected; a corresponding emergency area is constructed based on the multiple emergency locations and the street distribution map, and the corresponding emergency event is determined based on the event traversal of the emergency area, thereby improving the accuracy of the emergency event.

[0086] At this time, when responding to 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 location information of these locations.

[0087] Through preliminary analysis, all relevant emergency locations are determined; the precise coordinates of each emergency location are collected using a geographic information system (GIS) or positioning technology (such as GPS); based on the collected coordinate data, the relative distance and direction between the emergency locations are calculated; the collected location data and relative position relationships are stored in a database for subsequent analysis and scheduling; at the same time, ensure that the data can be updated in real time to reflect any location changes.

[0088] After collecting the relative positions of multiple emergency locations, the system needs to build an emergency area to cover all key locations; then, it traverses the events that occur in the emergency area to determine the corresponding emergency events.

[0089] Based on the distribution of emergency locations, GIS technology is used to draw an emergency area map that includes all key locations; information on events that occur in the emergency area, such as fires, traffic accidents, and personal injuries, is collected and traversed and analyzed; based on the results of the event traversal, the main types of emergency events, the scope of impact, and the severity are determined; the identified emergency events are associated with the relevant emergency locations for subsequent scheduling and response.

[0090] Specifically, suppose that after an earthquake occurs in a certain city, the system identifies three emergency locations: shelter A, temporary rescue center B, and medical point C. Through preliminary analysis, shelter A, temporary rescue center B, and medical point C are identified as key emergency locations. Using GIS technology, the coordinates of shelter A are collected as (X1, Y1), the coordinates of temporary rescue center B are collected as (X2, Y2), and the coordinates of medical point C are collected as (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 calculated as D2, and the distance from temporary rescue center B to medical point C is calculated as D3. At the same time, the relative direction between each point is determined. The collected coordinate data and relative position relationship are stored in the database, and it is ensured that the data can be updated in real time.

[0091] Based on the location distribution of shelter A, temporary rescue center B, and medical point C, an emergency area map was drawn using GIS technology. Information on events that occurred within the emergency area was collected, and it was found that a fire occurred near shelter A, a traffic accident occurred near temporary rescue center B, and medical point C received several people injured by the earthquake. Based on the results of event traversal, the fire was determined to be the main emergency event, and its impact range extended to the area around shelter A. Traffic accidents and injuries were secondary emergency events that needed to be handled as soon as possible. The fire event was associated with shelter A, the traffic accident was associated with temporary rescue center B, and the injury event was associated with medical point C. At the same time, considering the expanded impact range of the fire, the system also included other affected areas in the surrounding area into the emergency consideration range.

[0092] Furthermore, 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, the corresponding emergency events and the positions of the emergency dispatch vehicles. It is compatible with the overall consideration of the relative positions of multiple emergency locations, the corresponding emergency events and the positions of the emergency dispatch vehicles, ensures the overall dispatch effect of each emergency dispatch vehicle, realizes the full utilization of each emergency dispatch vehicle, and improves the effect of smart emergency response in multiple emergency locations.

[0093] At this point, after determining the emergency area and the emergency locations within it, the system needs to identify all available emergency dispatch vehicles in the area; use GPS or other positioning technologies to track and record the specific locations of these vehicles in real time; and map the location information of these vehicles onto the emergency area map for intuitive display.

[0094] In addition to location information, the system also needs to monitor the status of the emergency dispatch vehicle in real time, such as speed, fuel level, whether it is idle, etc. This status information is crucial for subsequent vehicle dispatch to ensure the scientificity and effectiveness of dispatch decisions; further, after obtaining the emergency location, emergency event and vehicle location and status information, the system needs to integrate this information to formulate an overall dispatch plan; the dispatch plan should take into account factors such as the urgency of the emergency event, the demand for the emergency location, the status and location of the vehicle, and traffic congestion.

[0095] Therefore, 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 at each emergency location is triggered based on each emergency location, the corresponding emergency space and the distribution position of each emergency dispatch vehicle relative to the emergency space, thereby achieving precise control of emergency rescue at each emergency location.

[0096] At this time, based on the overall dispatch plan, the system needs to continuously monitor the vehicle status of the emergency dispatch vehicle and the progress of the emergency event so as to make dynamic adjustments according to the actual situation; the vehicle status includes the vehicle's current location, driving speed, estimated arrival time, whether it is idle, fuel level, maintenance status, etc.; for the priority of the emergency event, the urgency of the emergency event, the scope of impact, the type of resources required, and other factors will also affect the allocation of the dispatch vehicle; combined with the vehicle status and 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 a dispatch instruction to the relevant vehicles, including the target location, estimated arrival time, tasks to be performed, etc.

[0097] Furthermore, based on the specific location and impact range of the emergency event, the emergency location that needs to trigger emergency rescue is determined; the capacity, facilities, accessibility and other conditions of the emergency space (such as shelters, temporary rescue centers, etc.) corresponding to each emergency location are evaluated; the distribution position of each emergency dispatch vehicle relative to the emergency space is analyzed to determine the optimal rescue path and arrival time; based on the above analysis, the system sends emergency rescue instructions to relevant emergency locations and vehicles, including rescue tasks, required resources, arrival time, etc.

[0098] Specifically, suppose a serious traffic accident occurs in a city, resulting in multiple injuries, and ambulances and fire trucks need to be quickly mobilized for rescue. The system continuously monitors the status of several nearby ambulances and fire trucks, and finds that one ambulance is on a mission and is expected to arrive in 10 minutes. Another ambulance is idle and sets off immediately. At the same time, a fire truck is also idle and can be used for on-site cleanup and traffic diversion.

[0099] Based on the urgency of the accident scene and the type of resources required, the system decides to send an idle ambulance to the accident scene immediately to treat the injured; at the same time, it dispatches a fire truck to the scene to conduct traffic diversion and cleanup work; the system immediately sends dispatch instructions to the idle ambulances and fire trucks, including the specific location of the accident scene, estimated arrival time, and the tasks to be performed; after receiving the instructions, the ambulances and fire trucks quickly set off for the accident scene; the system continuously monitors the status and arrival of the vehicles to ensure the smooth progress of the rescue mission.

[0100] Based on the specific location and impact range of the traffic accident, the system identified nearby shelters and temporary rescue centers as emergency locations; the system evaluated the capacity, facility conditions and accessibility of the shelters and temporary rescue centers, and found that the shelters could accommodate more injured people and were closer to the accident site; while the temporary rescue centers had more complete medical facilities; the system analyzed the distribution of ambulances and fire trucks relative to the shelters and temporary rescue centers, and determined the optimal rescue route and arrival time; based on the above analysis, the system sent emergency rescue instructions to idle ambulances and fire trucks, requiring them to immediately go to the shelters and temporary rescue centers to treat the injured and clean up the scene; at the same time, the system also sent instructions to the shelters and temporary rescue centers, requiring them to be prepared to receive the injured and provide medical assistance.

[0101] At the accident scene and emergency location, the system coordinates resources and allocates tasks through the on-site management system or APP to ensure the efficient execution of rescue missions; ambulances and fire trucks arrive at the scene quickly, begin treating the wounded and directing traffic; shelters and temporary rescue centers also promptly receive the wounded and provide necessary medical assistance.

[0102] In one embodiment of the present application, the emergency location matching table example:

[0103]

[0104] First, the system determines the nearest emergency space based on 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. Next, the system selects the nearest emergency dispatch vehicle based on the distribution of emergency spaces. In the above example, vehicle 1 is located near space 1 and is therefore selected as the vehicle to trigger the emergency rescue. Once the match is completed, the system will update the trigger status to "Triggered", indicating that the emergency rescue at the emergency location has been activated.

[0105] In step S14, the emergency dispatch system of each emergency dispatch vehicle is determined based on the danger level of each emergency location, the working status of the emergency dispatch vehicle 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 based on the real-time monitoring screen of each emergency location, the danger level of objects stored at 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 status of the emergency dispatch vehicles in each emergency location based on the rescue time of the multiple emergency dispatch vehicles, the rescue range of the multiple emergency dispatch vehicles, and the rescue modes of the multiple emergency dispatch vehicles;

[0106] In the specific implementation process of the present invention, the specific steps are:

[0107] S141: collecting multiple environmental parameters based on environmental detection of each emergency location, and determining the surrounding environment of each emergency location based on the multiple environmental parameters and the surrounding space of each emergency location;

[0108] S142: Determine a first emergency parameter based on the hazard level of each emergency location and the working conditions of the emergency dispatch vehicles at each emergency location; determine a second emergency parameter based on the hazard level of each emergency location and the surrounding environment of each emergency location; and determine an emergency dispatch system for each emergency dispatch vehicle based on the first emergency parameter, the second emergency parameter, and the emergency range covered by each emergency location: comprehensively evaluate 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;

[0109] In an embodiment of the present application, emergency rescue at each emergency location is monitored in real time, and the hazard level of each emergency location is determined based on the real-time monitoring screen of each emergency location, the hazard level of objects stored at each emergency location, and the emergency range covered by each emergency location. This is compatible with the overall consideration of the real-time monitoring screen of each emergency location, the hazard level of objects stored at each emergency location, and the emergency range covered by each emergency location, thereby ensuring the accuracy of the hazard level of each emergency location.

[0110] At this time, each emergency location is monitored 24 hours a day; the monitoring equipment collects key data such as on-site images, gas concentration, temperature, humidity, etc. in real time; and the collected data is transmitted to the central control room or cloud platform in real time through a wireless network or wired network.

[0111] Utilize image recognition technology to automatically identify abnormal situations in monitoring images, such as flames, smoke, and crowds; through behavioral analysis, determine whether the behavior of on-site personnel is safe and whether there are emergency behaviors such as escape and rescue; at the same time, establish a list of dangerous goods, and record in detail the name, quantity, hazard level and other information of the items stored in each emergency location; divide the hazard level into high, medium and low levels according to the chemical properties, explosion limits, toxicity and other parameters of the items; combine real-time monitoring images and gas detector data to dynamically evaluate the actual hazard level of stored items.

[0112] Utilize the Geographic Information System (GIS) to analyze the geographical location, surrounding environment, population density, and other information of each emergency location; determine the emergency scope of each emergency location based on factors such as the diffusion range of hazardous materials, explosion power, and toxic effects; and combine the geographic information analysis results and the emergency scope to assess potential risks and impacts.

[0113] Therefore, a comprehensive assessment is conducted on the real-time monitoring screen analysis results, the danger level assessment results of stored items, and the emergency scope analysis results; based on the comprehensive assessment results, the danger level is divided into three levels: emergency, important, and general; based on the danger level, early warning information is promptly issued to relevant departments and personnel, and the corresponding emergency plan is activated.

[0114] Specifically, assume that within a chemical 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 concentrations inside and outside the warehouse in real time. One day, the system detects smoke in the warehouse, accompanied by abnormal data indicating an increase in the concentration of combustible gas.

[0115] Image recognition technology automatically identified the smoke image and judged it as a fire warning signal; according to the list of hazardous materials, the chemicals stored in the warehouse are highly dangerous; combined with real-time monitoring data, the system dynamically assessed the warehouse's hazard level as high; using the GIS system, it analyzed the geographic information and population density around the warehouse; considering the explosive power and toxic effects of the chemicals, the system determined that the emergency range is within 500 meters of the warehouse.

[0116] Based on the analysis of the comprehensive monitoring images, danger level and emergency scope, the system determined that the danger level of the warehouse was urgent; the system immediately issued early warning information to the chemical park management department, fire department and surrounding enterprises, activated the fire emergency plan, and organized personnel evacuation and fire rescue.

[0117] Furthermore, the multiple emergency dispatch vehicles configured at each emergency location are associated, and the working conditions of the emergency dispatch vehicles in each emergency location are determined according to the rescue time, rescue range and rescue mode of the multiple emergency dispatch vehicles, thereby achieving precise control of the working conditions of the emergency dispatch vehicles in each emergency location.

[0118] At this time, the basic information of each emergency location is integrated, including location coordinates, storage item types, potential risks, etc., as well as the associated emergency dispatch vehicle information, such as vehicle number, type, current status (idle, on a mission, under maintenance), equipment configuration, etc.; based on factors such as geographical proximity, vehicle type and emergency demand matching, the association logic between emergency locations and emergency dispatch vehicles is established; for example, in the case of chemical leaks, rescue vehicles equipped with chemical protective clothing are prioritized.

[0119] Utilizing GIS (Geographic Information System) and real-time traffic data, the optimal route is planned for each emergency dispatch vehicle from its current location to the target emergency location. The time required for each vehicle to reach the target location is estimated based on factors such as route length, traffic conditions, and vehicle speed. Route planning and time estimates are dynamically adjusted to take into account uncertainties such as changing road conditions and vehicle failures.

[0120] 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 needs, determine the rescue area that each vehicle can effectively cover; for large or complex emergency events, evaluate the feasibility and efficiency of multiple emergency dispatch vehicles working together.

[0121] According to the nature, scale, urgency and other factors of the emergency event, the appropriate rescue mode is selected, such as rapid response, professional rescue, evacuation, etc.; as the emergency event develops, the rescue mode is dynamically adjusted to adapt to the new situation; therefore, a comprehensive assessment is conducted on 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; the working status of the emergency dispatch vehicle is updated in real time so that the command center can accurately grasp the situation on the scene and make timely and effective dispatch decisions.

[0122] 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.

[0123] The system first identifies the emergency dispatch vehicles closest to the fire, including a ladder truck, a water tanker, and an ambulance. The ladder truck is suitable for high-rise rescues, 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, while the ambulance is expected to arrive within 10 minutes due to the need to detour through congested sections.

[0124] 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."

[0125] 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.

[0126] At this time, various types of sensors are deployed at various emergency locations 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, and noise level; the collected environmental data is transmitted in real time to the central monitoring platform or data analysis system via wired or wireless means.

[0127] Verify the collected environmental data, eliminate outliers or invalid data, and ensure the accuracy and reliability of the data; analyze the changing trends of environmental parameters to identify whether there are abnormal fluctuations or potential risks; compare environmental parameters with preset safety thresholds to determine whether the current environment is in a safe state; at the same time, use the geographic information system (GIS) to obtain geographic information of the emergency location and its surroundings, including topography, building layout, road network, population density, etc.; analyze the relationship between the emergency location and the surrounding space, such as the distance from important facilities, the fire resistance level of surrounding buildings, the smoothness of evacuation routes, etc.; combine environmental parameters and spatial relationships to assess the potential risks of fire, explosion, toxic gas leakage, etc. in the emergency location and surrounding space.

[0128] Therefore, a comprehensive evaluation is conducted on the environmental parameter analysis results and the surrounding space analysis results to form a comprehensive understanding of the environment surrounding the emergency location; based on the comprehensive evaluation results, a detailed description of the environmental conditions surrounding the emergency location is given, including environmental parameters such as temperature, humidity, and gas concentration, as well as spatial factors such as terrain, buildings, and roads; if there are potential risks, risk warning information is issued in a timely manner to remind relevant departments and personnel to take preventive measures.

[0129] Specifically, assume that within an industrial park, there is a warehouse (emergency location C) storing hazardous chemicals, and its surrounding environment needs to be monitored and assessed. Temperature sensors, humidity sensors, combustible gas detectors, toxic gas detectors, and other sensors are deployed inside and outside the warehouse and in key surrounding areas. One day, the system detects an abnormally high temperature in the warehouse, and at the same time, the combustible gas concentration exceeds a safety threshold.

[0130] The system analyzed the collected data and found that the temperature and the concentration of combustible gases continued to rise, posing a risk of fire and explosion. The system used the GIS system to analyze the topography, building layout, and road network around the warehouse. It found that the warehouse was adjacent to a main road and surrounded by several other warehouses and office buildings. The population density was moderate, but the evacuation routes were relatively narrow. Based on a comprehensive analysis of environmental parameters and spatial relationships, the system described the environment surrounding the warehouse as "a high temperature, high concentration of combustible gases, densely populated surrounding buildings, and limited evacuation routes." At the same time, the system issued a risk warning information, reminding the industrial park management department and the fire department to take emergency measures, such as evacuating nearby personnel and activating fire plans.

[0131] Therefore, the first emergency parameter is determined according to the hazard level of each emergency location and the working conditions of the emergency dispatch vehicles in each emergency location; the second emergency parameter is determined according to the hazard level of each emergency location and the surrounding environment of each emergency location; the emergency dispatch system of each emergency dispatch vehicle is determined based on the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location, which is compatible with the overall consideration of the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location, and ensures the accuracy of the emergency dispatch system of each emergency dispatch vehicle.

[0132] At this point, the system has determined the level of danger based on the real-time monitoring images of each emergency location, the danger level of 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 performed, the estimated completion time, etc., and comprehensively considers the level of danger and the working status of the emergency dispatch vehicle to calculate a comprehensive indicator reflecting the urgency and effectiveness of the current emergency response, namely the first emergency parameter; the higher the parameter, the more urgent the need for emergency response and the more important the dispatch vehicle's task.

[0133] The system has determined the surrounding environment based on the environmental parameters and surrounding space of each emergency location; analyzed the relationship between the hazard level and the surrounding environment, and assessed the impact of the environment on the development of the hazard, such as high temperature environments accelerating the combustion rate of chemicals, and narrow evacuation passages increasing the risk of casualties; based on the analysis of the relationship between the hazard level and the environment, a comprehensive indicator reflecting the potential risk and scope of impact is calculated, namely the second emergency parameter; the higher the parameter, the greater the challenge faced by the emergency response, and the higher the level of resources and support required.

[0134] 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 dispatch strategy based on the emergency response demand map, including priority sorting 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, dynamic scheduling of dispatch vehicles, real-time monitoring of task execution, etc.; as the emergency event develops, continuously collect feedback information, optimize and adjust the emergency dispatch system to ensure the efficiency and effectiveness of the emergency response.

[0135] Specifically, assume that a fire breaks out in a warehouse (emergency location D) storing flammable and explosive chemicals in a chemical park (high hazard level), and the environmental conditions around the warehouse are not conducive to fire fighting (high temperature, narrow evacuation passages, and high second emergency parameters).

[0136] For the first emergency parameter, the system immediately activates the emergency response mechanism after detecting a fire; due to the high fire risk level and the fact that the emergency dispatch vehicles closest to the fire scene (including fire trucks, ambulances, etc.) have not yet arrived at the scene, the system calculates that the first emergency parameter is high, indicating that the need for emergency response is urgent.

[0137] For the second emergency parameter, the system analyzed the environment around the warehouse and found that the high temperature environment accelerated the combustion rate of chemicals, while the narrow evacuation passages increased the difficulty of evacuating personnel; based on these analyses, the system calculated that the second emergency parameter was also very high, indicating that the challenges faced by emergency response were enormous.

[0138] Based on the first and second emergency parameters, as well as the emergency scope covered by the warehouse, the system builds an emergency dispatch system; first, it prioritizes dispatching the nearest fire truck to the fire scene to extinguish the fire; second, it dispatches an ambulance to stand by in a safe area, ready to receive the wounded; at the same time, the system also dispatches other resources, such as emergency supplies and professional rescue teams, to support the on-site emergency response; in addition, the system also monitors the working status of the dispatch vehicle and the dynamics of the fire scene in real time, and is ready to optimize and adjust the dispatch system at any time.

[0139] In one example of the present application, the emergency dispatch system matching table is used to display the relationship between the hazard level of each emergency location, the working status of the emergency dispatch vehicle, the surrounding environment, and the emergency scope;

[0140]

[0141] Next, assign weights to each factor and score each emergency location's performance on these factors based on actual conditions; hazard level: high = 3 points, medium = 2 points, low = 1 point; emergency dispatch vehicle working status: not yet at the scene = 3 points, performing a task = 2 points, on standby = 1 point (here it is assumed that not yet at the scene has the highest urgency, performing a task is second, and on standby is the lowest); surrounding environment: unfavorable = 3 points, normal = 2 points, favorable = 1 point (divided according to the degree of impact on 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 actual conditions).

[0142] The first emergency parameter = hazard level score × emergency dispatch vehicle work performance score; the second emergency parameter = hazard level score × surrounding environment score; taking emergency location E1 as an example: the first emergency parameter = 3 (high) × 3 (not arrived at the scene) = 9 points; the second emergency parameter = 3 (high) × 3 (high temperature, narrow passage) = 9 points.

[0143] Finally, the first emergency parameter, the second emergency parameter, and the emergency range score are comprehensively evaluated to construct an emergency dispatch system; the comprehensive score = first emergency parameter × weight 1 + second emergency parameter × weight 2 + emergency range score × weight 3. Assuming weight 1 = 0.5, weight 2 = 0.3, and weight 3 = 0.2 (these weights are adjusted according to actual conditions), the comprehensive score of emergency location E1 = 9 × 0.5 + 9 × 0.3 + 2 × 0.2 = 4.5 + 2.7 + 0.4 = 7.6 points;

[0144] Emergency dispatch vehicles are prioritized based on the comprehensive scores. The higher the score of the emergency location, the higher the priority the corresponding emergency dispatch vehicle should enjoy. For example, when resources are limited, the system should give priority to dispatching emergency dispatch vehicles to the emergency location with the highest comprehensive score (such as E1).

[0145] Assuming there are three emergency locations (E1, E2, E3) and three emergency dispatch vehicles (V1, V2, V3), the emergency dispatch system calculated using the above method is as follows:

[0146] V1: Go to E1 first (highest comprehensive score, 7.6 points); V2: Go to E2 secondly (assuming its comprehensive score is second highest); V3: Stand by or go to E3 (assuming its comprehensive score is lowest, and whether reinforcement is needed will be determined based on the on-site situation).

[0147] In step S15, 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;

[0148] In the specific implementation process of the present invention, the specific steps are:

[0149] S151: Dynamically monitor the hazard level of each emergency location in the emergency dispatch system of each emergency dispatch vehicle, and compare the hazard level of each emergency location with a preset hazard level threshold;

[0150] S152: If the danger level of an emergency location exceeds a preset danger level threshold, triggering an emergency rescue state for the emergency location;

[0151] S153: In the emergency rescue state of the emergency location, determining a supplementary rescue area based on the working conditions of the emergency dispatch vehicles in the emergency location, the rescue areas formed by the emergency dispatch vehicles, and the changed position of the emergency location;

[0152] 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 regional shape of the supplementary rescue area;

[0153] S155: Determine a multi-dimensional rescue event based on the spatial rescue location, the rescue drone, and multiple emergency dispatch vehicles, and determine a coordinated rescue instruction between the rescue drone and multiple emergency dispatch vehicles based on the multi-dimensional rescue event;

[0154] In an embodiment of the present application, in the emergency dispatch system of each emergency dispatch vehicle, the hazard level of each emergency location is dynamically monitored, and the hazard level of each emergency location is compared with a preset hazard level threshold; if the hazard level of an emergency location exceeds the preset hazard level threshold, the emergency rescue state of the emergency location is triggered; in the emergency rescue state of the emergency location, a supplementary rescue area is determined based on the working conditions of each emergency dispatch vehicle in the emergency location, the rescue area formed by each emergency dispatch vehicle, and the changed position of the emergency location, and targeted regulation is performed on the changes in the hazard level of the emergency location, thereby ensuring dynamic control of each emergency location.

[0155] At this time, the hazard level of each emergency location is continuously and dynamically monitored, 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 hazard level of each emergency location in real time based on this data, such as the size of the fire, the speed of spread, and the number of injuries to personnel.

[0156] At the same time, the system will compare these real-time assessed hazard levels with preset hazard level thresholds. These thresholds are pre-set based on historical data, expert experience and safety regulations to determine whether the current hazard has reached a 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.).

[0157] When the system determines that the danger level of an emergency location exceeds the preset threshold, it will immediately trigger the emergency rescue status of the location, which means that the system believes that the danger at the location is serious enough to require immediate action to reduce potential losses and protect personnel safety; after the emergency rescue status is triggered, the system will send an alarm message to the relevant emergency dispatch vehicles, rescue teams and other relevant departments, instructing them to go to the scene immediately for rescue.

[0158] In an emergency rescue state, the system will determine whether additional rescue areas are needed based on the working conditions of each emergency dispatch vehicle in the emergency location (such as vehicle location, mission status, remaining resources, etc.), the rescue area they form (i.e. the area currently being responded to), and changes in the emergency location (such as the direction of fire spread, progress of personnel evacuation, etc.); additional rescue areas refer to areas that require additional attention in addition to the currently responding areas. These areas require emergency rescue due to the spread of dangerous conditions or the emergence of new risks.

[0159] When determining additional rescue areas, the system will take into account multiple factors, such as the spread rate of the dangerous situation, the distribution of potential danger sources, the safety of personnel evacuation routes, etc.; based on these factors, the system will evaluate which areas are affected by the dangerous situation and determine whether these areas require additional rescue resources.

[0160] Specifically, when the system determines that the danger level of a warehouse fire exceeds a preset threshold and triggers an emergency rescue state, the system immediately sends an alarm message to nearby fire stations, ambulance teams, and industrial park management departments; the alarm message contains the specific location of the fire, the danger level, recommended rescue measures, and other information, so that relevant departments can respond quickly.

[0161] In the example of the warehouse fire, when the system triggered the emergency rescue status, it began to track the work status of fire trucks and ambulances and the spread of the fire in real time; the system found that the fire was spreading to the east side of the warehouse, which is adjacent to an area where toxic chemicals are stored; considering the serious consequences of toxic chemical leakage, the system determined that the area required additional rescue resources; therefore, the system determined that the additional rescue area was the area where toxic chemicals were stored on the east side of the warehouse, and sent a request for reinforcements to the relevant departments.

[0162] Furthermore, the spatial rescue position is determined 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, and the spatial rescue position is introduced.

[0163] At this point, the system will first conduct a detailed analysis of the spatial location of the supplementary rescue area, including determining the specific geographical location of the area, its relative position to surrounding important facilities (such as residential areas, hospitals, schools, etc.), and the area's position in the overall rescue layout. This information is crucial for subsequently determining the priority of rescue operations, selecting appropriate rescue routes, and formulating rescue strategies.

[0164] Next, the system will analyze the emergency factors in the supplementary rescue area. These factors include topography, climate conditions, building structure, and the distribution of potential hazards (such as flammable and explosive items, toxic chemicals, etc.). The system needs to evaluate the impact of these factors on the rescue operation, such as terrain obstacles hindering the passage of rescue vehicles, climate conditions affecting the performance of rescue equipment, and building structure determining the difficulty of the rescue operation.

[0165] In addition, the system will also analyze the morphology of the supplementary rescue area, including the area, shape, boundary characteristics, etc.; the analysis of regional morphology helps the system more accurately assess the demand and distribution of rescue resources; for example, a narrow and long area requires more rescue teams to conduct search and rescue along the length, while a wide area requires more rescue equipment to cover a larger area.

[0166] Based on the above analysis, the system will determine a series of key spatial rescue locations. These locations are the points or areas that need to be focused on in the rescue operation. They are key paths for personnel evacuation, places that need priority firefighting, or places that require special rescue equipment. The system will develop detailed rescue plans and instructions based on the importance and urgency of these locations.

[0167] Specifically, suppose that a fire breaks out in a warehouse storing flammable chemicals in a large industrial park, and the fire has spread to an adjacent toxic chemical storage area; based on the previous steps, the system has determined that the toxic chemical storage area is a supplementary rescue area.

[0168] System analysis found that the toxic chemical storage area is located in the northeast corner of the industrial park, close to a main road, but there are no other important facilities around it, which means that the rescue operation is carried out relatively independently and will not be interfered with by other areas; at the same time, the system evaluated the emergency factors in the storage area and found that the area has a flat terrain, but the climatic conditions are relatively harsh. There is currently a northeast wind blowing, which will accelerate the spread of the fire and the spread of toxic gases; in addition, the building structure in the storage area is relatively simple, but the types of chemicals stored are diverse, and some chemicals are highly flammable, explosive and toxic.

[0169] The system analyzed the storage area and found it to be rectangular, approximately 200 meters long and 100 meters wide. Considering the spread of the fire and toxic gases, the system determined that rescue teams needed to be stationed on both the north and south sides of the storage area to create a pincer attack and effectively curb the spread of the fire. Based on the above analysis, the system determined the following spatial rescue locations:

[0170] A main fire-fighting point is set up on the south side of the storage area to concentrate forces for fire-fighting; an evacuation point is set up on the north side of the storage area to guide personnel to evacuate safely; two observation points are set up on the east and west sides of the storage area respectively to monitor the fire and the spread of toxic gases in real time, and provide intelligence support for subsequent rescue operations.

[0171] Therefore, multi-dimensional rescue events are determined based on the spatial rescue position, rescue drones and multiple emergency dispatch vehicles, and collaborative rescue instructions between the rescue drones and multiple emergency dispatch vehicles are determined based on the multi-dimensional rescue events, thereby realizing collaborative rescue between the rescue drones and multiple emergency dispatch vehicles.

[0172] At this point, the system will define a series of multi-dimensional rescue events based on the previously determined spatial rescue locations, combined with the availability and capabilities of rescue drones and multiple emergency dispatch vehicles (such as fire trucks, ambulances, etc.). These events include firefighting operations, personnel evacuation, material delivery, medical rescue, etc.; the system will assign different priorities and resource requirements to these events based on the specific needs and urgency of each spatial rescue location.

[0173] The system needs to evaluate the capabilities of rescue drones and emergency dispatch vehicles in carrying out these multi-dimensional rescue incidents, including the flight speed, payload capacity, and range of drones, as well as the driving speed, equipment type, and staffing of emergency dispatch vehicles. Based on these capabilities, the system will determine which tasks are suitable for drones, which tasks require the participation of emergency dispatch vehicles, and how they collaborate.

[0174] Based on the above analysis, the system will formulate detailed coordinated rescue instructions. These instructions will clarify the specific tasks, routes of action, time nodes and the coordination methods of each emergency dispatch vehicle and rescue drone. The formulation of instructions needs to take into account various risks and uncertainties to ensure the efficiency, safety and accuracy of the rescue operation.

[0175] During the rescue operation, the system will monitor the location and status of each emergency dispatch vehicle and rescue drone, as well as the progress of the rescue operation in real time; if it is found that the actual situation does not match the expectations or a new emergency situation arises, the system will promptly adjust the coordinated rescue instructions to ensure that the rescue operation can proceed smoothly.

[0176] 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.

[0177] 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 an ambulance drone 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.

[0178] Furthermore, the system evaluated the drone's flight speed and payload capacity, determining its ability to deliver sufficient fire extinguishing agents and protective equipment to designated locations within the specified time. The system assigned specific tasks and time nodes to fire trucks and ambulances based on their speed and equipment type.

[0179] Based on the above assessment, the system developed detailed collaborative rescue instructions:

[0180] Fire trucks: Two fire trucks departed from the east and west sides of the industrial park respectively, quickly arrived at the fire extinguishing point along the predetermined route, and began to spray water to extinguish the fire; Ambulance: One ambulance departed 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.

[0181] In another embodiment of the present application, a multi-dimensional rescue event matching table example is as follows:

[0182]

[0183] This multi-dimensional rescue event matching table clearly defines 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. Rescuers can clearly understand their respective responsibilities and action requirements, thereby improving rescue efficiency.

[0184] See also Figure 3 , Figure 3 Schematic diagram of the structure of the overall dispatching system based on intelligent emergency response in an embodiment of the present invention;

[0185] like Figure 3 As shown, the overall dispatching system based on smart emergency response includes:

[0186] Inspection route module 21, for determining the inspection route of the inspection drone relative to the town based on the town distribution map, the grade coefficient of each area of ​​the town and the inspection drone;

[0187] The emergency location module 22 is used for the inspection drone to conduct town inspections along the inspection route and determine abnormal areas; the 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;

[0188] The dispatch module 23 is used to determine the overall dispatch of each emergency dispatch vehicle based on the relative positions of multiple emergency locations, corresponding emergency events and the positions of the emergency dispatch vehicles, so as to provide emergency rescue to each emergency location;

[0189] The emergency dispatch system module 24 is used to determine the emergency dispatch system of each emergency dispatch vehicle based on the danger level of each emergency location, the working status of the emergency dispatch vehicle at each emergency location, and the surrounding environment of each emergency location. The module includes: real-time monitoring of emergency rescue at each emergency location, determining the danger level of each emergency location based on the real-time monitoring image of each emergency location, the danger level of objects stored at each emergency location, and the emergency range covered by each emergency location; associating multiple emergency dispatch vehicles deployed at each emergency location, and determining the working status of the emergency dispatch vehicles at each emergency location based on the rescue time, rescue range, and rescue mode of the multiple emergency dispatch vehicles;

[0190] The multi-dimensional rescue event module 25 is used to trigger an air rescue by a rescue drone if the danger level of an emergency location exceeds a preset danger level threshold, and determine a multi-dimensional rescue event based on the rescue drone and multiple emergency dispatch vehicles.

[0191] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

Claims

1. A comprehensive 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 coefficient of each area of ​​the town, and the inspection drone; The inspection drone conducts town inspections along the inspection route and identifies abnormal areas; determining 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 based on the relative positions of multiple emergency locations, corresponding emergency events, and the positions of emergency dispatch vehicles to provide emergency rescue at each emergency location; The emergency dispatch system of each emergency dispatch vehicle is determined according to the danger level of each emergency location, the working status of the emergency dispatch vehicle 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 status of the emergency dispatch vehicle in each emergency location according to the rescue time, rescue range and rescue mode of multiple emergency dispatch vehicles, including: collecting multiple environmental parameters based on environmental detection of each emergency location, and determining the working status of the emergency dispatch vehicle in each emergency location according to the multiple environmental parameters and the rescue mode of each emergency dispatch vehicle. The surrounding environment of each emergency location is determined based on the surrounding space of the emergency location; the first emergency parameter is determined based on the danger level of each emergency location and the working conditions of the emergency dispatch vehicles in each emergency location; the second emergency parameter is determined based on the danger level of each emergency location and the surrounding environment of each emergency location; the emergency dispatch system of each emergency dispatch vehicle is determined based on the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location: the first emergency parameter, the second emergency parameter and the emergency range covered by each emergency location are comprehensively evaluated to form a comprehensive emergency response demand map; based on the emergency response demand map, an emergency dispatch strategy is formulated, including priority sorting, resource allocation, and task deployment of dispatch vehicles; and the dispatch strategy is converted into an emergency dispatch system for each emergency dispatch vehicle; 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 determining of 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 includes: determining a town distribution map based on the location information of the town, the name of the town, and a town database; Determine each area based on the town distribution map, corresponding regional functions and street route map, and determine the grade coefficient of each area in the town based on the spatial location of each area, the distribution map of enterprises in each area and the previous emergency data of each area; The level coefficients of each area, the various air control areas in the town distribution map, and the models of the inspection drones are interacted with, and the inspection routes of the inspection drones relative to the town are determined based on the interactions of the level coefficients of each area, the various air control areas 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, status 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 based on the inspection drone's town inspection, and determine abnormal areas based on the multiple town inspection images, the cloud database corresponding to the drone, and the town's alarm information; 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 status information of the abnormal area based on 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, status 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 based on the relative positions of the multiple 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, collect the relative positions of the multiple emergency locations; Constructing a corresponding emergency area based on multiple emergency locations and street distribution maps, and determining corresponding emergency events 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, the 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 method of determining the overall dispatch of each emergency dispatch vehicle based on 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 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 is triggered based on each emergency location, the corresponding emergency space, and the 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: 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 hazard level of each emergency location is dynamically monitored and compared with the preset hazard 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.

7. The overall dispatching method based on intelligent emergency response according to claim 6 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, further comprising: In the emergency rescue state of the emergency location, the supplementary rescue area is determined according to the working conditions of each emergency dispatch vehicle in the emergency location, the rescue area formed by each emergency dispatch vehicle, and the change of the emergency location; Determine 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 morphology 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.

8. 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 7, 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 coefficient of each area of ​​the town, and the inspection drone; The emergency location module is used for the inspection drone to conduct town inspections along the inspection route and identify abnormal areas; 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 dispatch module is used to determine the overall dispatch of each emergency dispatch vehicle based on the relative positions of multiple emergency locations, the corresponding emergency events and the positions of the 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 status of the emergency dispatch vehicle 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 status of the emergency dispatch vehicle in each emergency location according to the rescue time, rescue range and rescue mode of multiple emergency dispatch vehicles, including: collecting multiple environmental parameters based on environmental detection of each emergency location, and determining the working status of the emergency dispatch vehicle in each emergency location according to the multiple environmental parameters and the surrounding space of each emergency location to determine the surrounding environment of each emergency location; determine the first emergency parameter according to the danger 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 danger 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; The multi-dimensional rescue event module is used to trigger an air rescue by a rescue drone if the danger level of an emergency location exceeds a preset danger level threshold, and determine a multi-dimensional rescue event based on the rescue drone and multiple emergency dispatch vehicles.

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