Fire early warning and emergency response cooperative processing method and device and electronic equipment

Abstract

The invention provides a fire early warning and emergency response cooperative processing method and device and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a three-dimensional structure information model of a target building with a fire; dynamically collecting internal fire distribution data of the target building; analyzing user position coordinates of a target user in the target building; calibrating an external safe evacuation point of the target building; based on the three-dimensional structure information model, the internal fire distribution data, the user position coordinates and the external safe evacuation point, generating a fire evacuation path facing the target user; taking the end point of the fire evacuation path as a reverse starting point, and performing reverse deduction and calculation to obtain an emergency rescue path; and sending a fire evacuation path to the target user, and sending an emergency rescue path to an emergency management department. By implementing the technical scheme provided by the invention, cooperative processing of fire early warning and emergency response is facilitated.

Description

Technical Field

[0001] This application relates to the technical field of data processing, specifically to a method, apparatus, and electronic equipment for collaborative processing of fire early warning and emergency response. Background Technology

[0002] In the densely built-up environment of modern cities, emergency response to fire accidents has become an important part of public safety.

[0003] While existing fire early warning systems integrate various sensors such as video surveillance and temperature and humidity sensors, most systems remain at the stage of early warning and localized response, lacking the ability to accurately plan evacuation routes and fire rescue paths. Especially in complex building structures or multi-level spatial environments, trapped individuals often cannot quickly determine the evacuation direction due to a lack of effective route guidance; and rescue personnel, due to unfamiliarity with the site and blocked routes, find it difficult to efficiently approach the target area. Therefore, the above methods are not conducive to the coordinated handling of fire early warning and emergency response.

[0004] Therefore, there is an urgent need for a method, device, and electronic equipment for coordinated fire early warning and emergency response. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic device for coordinated processing of fire early warning and emergency response, which facilitates the coordinated processing of fire early warning and emergency response.

[0006] A first aspect of this application provides a method for coordinated fire early warning and emergency response. The method includes: acquiring a three-dimensional structural information model of a target building where a fire has occurred; dynamically collecting internal fire distribution data of the target building; parsing the user location coordinates of a target user within the target building; marking external safe evacuation points of the target building; generating a fire evacuation path for the target user based on the three-dimensional structural information model, the internal fire distribution data, the user location coordinates, and the external safe evacuation points; using the endpoint of the fire evacuation path as the reverse starting point, reversing and calculating an emergency rescue path; sending the fire evacuation path to the target user and the emergency rescue path to the emergency management department.

[0007] By adopting the above technical solution, and integrating the building's three-dimensional structural information model, real-time fire distribution, and precise user positioning, personalized fire evacuation route planning can be achieved. Furthermore, emergency rescue routes can be derived backward from the evacuation route endpoints, thus constructing a two-way closed-loop response mechanism of "escape-rescue." Compared to traditional methods, this solution not only improves the targeting and timeliness of route planning but also enables route coordination and information synchronization between firefighters and trapped individuals, significantly enhancing the accuracy and efficiency of fire emergency response and facilitating the coordinated handling of fire warnings and emergency responses.

[0008] Optionally, the dynamic acquisition of internal fire distribution data of the target building specifically includes: controlling a monitoring system deployed inside the target building to acquire heat source images and / or smoke diffusion videos; performing pattern recognition and region classification on the heat source images and / or smoke diffusion videos, and outputting a fire spatial distribution map including the location of the fire source and the affected range, so as to obtain the internal fire distribution data.

[0009] By employing the aforementioned technical solution, and through the control of the building's internal monitoring system, real-time images of heat sources and videos of smoke diffusion are acquired. Combined with image recognition and area classification technologies, a precise spatial distribution map of the fire situation is generated, accurately reflecting the location and affected area of ​​the fire source. This enables dynamic perception and visual representation of the fire situation. Compared to traditional methods relying on single-point triggering by heat or smoke sensors, this method offers advantages such as a wider sensing range, faster response speed, and more accurate fire location, providing high-precision data support for subsequent path planning and emergency command.

[0010] Optionally, the step of parsing the user location coordinates of the target user within the target building specifically includes: mapping the three-dimensional structural information model onto the AR device to obtain multiple spatial coordinate points; acquiring the distress signal sent by the target user; determining the source coordinate point based on the source location corresponding to the distress signal; and sequentially matching the source coordinate point with the multiple spatial coordinate points to determine the user location coordinates.

[0011] By adopting the above technical solution, a spatial coordinate system is constructed by mapping the three-dimensional structural model of the building onto the AR device. Combined with the location of the signal source corresponding to the user's distress signal, the user's coordinates are accurately matched and located. This overcomes the limitations of traditional positioning methods that rely on GPS or single sensors, resulting in low positioning accuracy and significant susceptibility to obstruction in indoor environments. This solution not only improves the accuracy and stability of positioning but also achieves deep integration with the building structure, providing a reliable location information foundation for subsequent escape route planning and precise rescue.

[0012] Optionally, generating a fire evacuation path for the target user based on the three-dimensional structural information model, the internal fire distribution data, the user's location coordinates, and the external safe evacuation point specifically includes: using the user's location coordinates as the navigation starting point; setting the external safe evacuation point as the target endpoint; generating multiple reachable paths based on the navigation starting point and the target endpoint, and integrating the preset passageway resources contained in the three-dimensional structural information model; removing paths that traverse fire zones from the reachable paths to obtain remaining paths; ranking and evaluating the remaining paths by travel time; and determining the path with the shortest travel time among the multiple remaining paths as the fire evacuation path.

[0013] By employing the aforementioned technical solution, based on a three-dimensional structural information model, fire distribution, user location, and external safety points, multiple accessible paths from the user's current location to a safe exit are systematically constructed. High-risk paths traversing fire areas are eliminated, and the paths are then evaluated and selected based on travel time priority, ultimately choosing the shortest safe path as the fire evacuation route. Compared to traditional static routes or manual judgment methods, this method offers advantages such as dynamic risk avoidance, path diversity assessment, and optimal travel efficiency, effectively improving the escape success rate of trapped personnel and the scientific nature of the overall emergency response.

[0014] Optionally, the method further includes: dynamically monitoring changes in the fire situation and the real-time location of the user terminal carried by the target user in the fire evacuation route; if it is determined that the safety of the target user in the fire evacuation route has decreased, triggering route reconstruction to generate an alternative evacuation route; updating the target user's fire evacuation route through the alternative evacuation route, and simultaneously generating a corresponding alternative rescue route; and synchronizing the alternative evacuation route and the alternative rescue route to the target user and the emergency management department in real time.

[0015] By adopting the above technical solution, and through continuous monitoring of the fire's development and the real-time location of user terminals along evacuation routes, dynamic assessment of users' escape status is achieved. Once a decrease in the safety of their current route is detected, a route reconstruction mechanism is immediately triggered, rapidly generating and synchronizing new alternative evacuation and rescue routes. This mechanism possesses high agility and adaptability, enabling real-time strategy adjustments under sudden risk conditions to ensure that users' escape routes are always in optimal safety condition and that emergency management departments have simultaneous access to the latest dispatch information, thereby significantly improving the continuity, intelligence, and coordination of the overall fire emergency response.

[0016] Optionally, the method further includes: real-time monitoring of the movement position of the rescue terminal carried by the emergency management department on the emergency rescue route; receiving the current view transmitted back by the camera module on the rescue terminal; constructing a navigation visualization interface based on the movement position and the current view; overlaying the navigation visualization interface onto the real image to output an AR screen with navigation prompts; and sending the AR screen to the rescue terminal carried by the emergency management department to assist navigation.

[0017] By employing the aforementioned technical solution, the location of the rescue terminal along the rescue path is monitored in real time, and the on-site view transmitted back by its camera module is received. This information is then fused with environmental images to construct a navigation visualization interface, which is then overlaid onto the real-world scene using AR technology. This provides rescuers with intuitive, dynamic, and precise path guidance. This method overcomes the limitations of traditional two-dimensional map navigation in complex building fire scenes, effectively improving rescuers' spatial perception and path judgment efficiency, thereby significantly enhancing their rescue capabilities and response accuracy under extreme conditions such as high pressure and low visibility.

[0018] Optionally, the method further includes: acquiring the location information corresponding to the target user and the rescue personnel of the emergency management department in real time; sending the user's location information to the rescue terminal; and sending the rescue personnel's location information to the user terminal, so as to realize two-way location sharing between the target user and the rescue personnel of the emergency management department.

[0019] By adopting the above technical solution, and through real-time acquisition and mutual transmission of location information between target users and rescue personnel, two-way location sharing is achieved. This allows users to clearly grasp the approaching progress of rescue forces, while rescue personnel can accurately pinpoint the location of trapped individuals. This mechanism effectively improves the spatial coordination efficiency and psychological safety of both parties. Especially in complex or low-visibility fire scenarios, it helps to quickly establish a rescue trust chain and response loop, greatly enhancing the targeting, accuracy, and success rate of rescue operations.

[0020] A second aspect of this application provides a fire early warning and emergency response collaborative processing device. The device includes an acquisition module and a processing module. The acquisition module is used to acquire a three-dimensional structural information model of a target building where a fire has occurred. The processing module is used to dynamically collect internal fire distribution data of the target building. The processing module is also used to analyze the user location coordinates of target users within the target building. The processing module is also used to mark the external safe evacuation points of the target building. The processing module is also used to generate a fire evacuation path for the target users based on the three-dimensional structural information model, the internal fire distribution data, the user location coordinates, and the external safe evacuation points. The processing module is also used to use the endpoint of the fire evacuation path as the reverse starting point to reverse-engineer and calculate an emergency rescue path. The processing module is also used to send the fire evacuation path to the target users and the emergency rescue path to the emergency management department.

[0021] A third aspect of this application provides an electronic device including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, and both the user interface and the network interface are used to communicate with other devices. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method described above.

[0022] A fourth aspect of this application provides a computer-readable storage medium storing instructions that, when executed, perform the method described above.

[0023] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: By integrating the building's 3D structural information model, real-time fire distribution, and precise user location, personalized fire evacuation route planning can be achieved. Emergency rescue routes are then derived from the evacuation route endpoints, thus constructing a two-way closed-loop response mechanism of "escape-rescue." Compared to traditional methods, this solution not only improves the targeting and timeliness of route planning but also enables route coordination and information synchronization between firefighters and trapped individuals, significantly enhancing the accuracy and efficiency of fire emergency response and facilitating the coordinated handling of fire warnings and emergency responses. Attached Figure Description

[0024] Figure 1 A flowchart illustrating a collaborative fire warning and emergency response method provided in this application embodiment; Figure 2 Another flowchart illustrating a collaborative processing method for fire early warning and emergency response provided in this application embodiment; Figure 3A schematic diagram of a fire early warning and emergency response collaborative processing device provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0025] Explanation of reference numerals in the attached figures: 31. Acquisition module; 32. Processing module; 41. Processor; 42. Communication bus; 43. User interface; 44. Network interface; 45. Memory. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0027] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0028] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0029] In the context of today's highly dense urban development, emergency response to fire accidents has become a crucial link in ensuring public safety.

[0030] Although existing fire early warning systems widely integrate various sensing methods such as video surveillance and temperature and humidity sensors, they are still limited to the initial warning and local response stages, lacking the ability to intelligently and collaboratively plan evacuation routes and fire rescue access routes. Especially in buildings with complex structures or multiple spatial levels, trapped personnel often struggle to make timely and accurate evacuation decisions due to a lack of real-time and effective route guidance; while fire rescue personnel also face challenges such as unfamiliarity with the site and obstructed access, making it difficult to quickly reach the core rescue targets. Therefore, it is evident that existing technologies still have significant shortcomings in the coordinated processing of fire early warning and emergency response.

[0031] To address the aforementioned technical problems, this application provides a method for coordinated fire early warning and emergency response, referring to... Figure 1 , Figure 1 This is a flowchart illustrating a fire early warning and emergency response collaborative processing method provided in an embodiment of this application. The method is applied to a server and includes steps S110 to S170, as follows: S110. Obtain a three-dimensional structural information model of the target building where the fire occurred.

[0032] Specifically, in the event of a fire, the server retrieves a 3D structural information model of the target building from relevant data sources—essentially a digital twin of the building. This model contains detailed information about the building's spatial layout, floor plans, walls, doors and windows, pipelines, staircases, elevators, and more, providing crucial data support for subsequent fire analysis, path planning, and emergency dispatch. In this way, the server can accurately understand the building's internal structure, thereby generating scientific fire rescue and evacuation plans.

[0033] For example, after a fire breaks out in a large shopping mall, the remote control platform's server will retrieve a 3D model of the mall from an existing BIM database. This model details the layout of each shop, aisle, entrance, and public area. Based on this model, the server can analyze areas potentially affected by the fire's spread and, combined with real-time monitoring data and personnel location information, plan an escape route that avoids fire risks while ensuring the shortest possible evacuation time. Simultaneously, it provides firefighters with precise rescue routes.

[0034] S120: Dynamically collect internal fire distribution data of the target building.

[0035] Specifically, the server can acquire real-time or periodic data on the distribution of the fire from various sensors and monitoring devices within the target building. This involves collecting data on temperature, smoke, thermal imaging, and video from inside the building to construct a dynamic map of the fire's spread. This process requires the server to possess high-speed data processing capabilities and real-time data analysis algorithms to integrate the monitored fire signals into an intuitive and comprehensive fire distribution map, providing crucial information for subsequent rescue route planning and personnel evacuation.

[0036] For example, in the event of a fire in an office building, pre-installed temperature sensors and video cameras within the building send data to a server in real time. By analyzing this data, the server can identify the fire source and smoke spread, converting this information into a fire distribution map that marks the most severely affected and potentially spreading areas. This dynamic data collection allows the emergency dispatch center to monitor the fire's development in real time and quickly formulate optimal evacuation and rescue plans, thereby maximizing personnel safety.

[0037] In one possible implementation, dynamically acquiring internal fire distribution data of the target building specifically includes: controlling a monitoring server deployed inside the target building to acquire heat source images and / or smoke diffusion videos; performing pattern recognition and area classification on the heat source images and / or smoke diffusion videos, and outputting a fire spatial distribution map containing the location of the fire source and the affected range, so as to obtain internal fire distribution data.

[0038] Specifically, firstly, by controlling and scheduling a monitoring server installed within the building, the server acquires real-time images of heat sources and videos of smoke diffusion. These two types of video data can respectively reflect areas of abnormal temperature and the diffusion trend of smoke within the building. Subsequently, the server uses advanced image processing technologies, such as deep neural networks or traditional image segmentation algorithms, to perform pattern recognition on the acquired image and video data, extracting feature information of the fire source, hotspot areas, and smoke diffusion. Next, through a regional classification method, the entire building space is divided into several areas, and a risk level is assigned to each area. Finally, a detailed fire spatial distribution map is output, which indicates the precise location of the fire and the potential affected area, thus obtaining complete internal fire distribution data.

[0039] For example, in a large, multi-purpose building, if a fire first breaks out in an office or storage area, pre-installed surveillance cameras will capture abnormal heat sources and dense smoke in that area. The server then automatically analyzes this captured data, identifies the abnormal areas, and creates a fire distribution map using color coding or icon markings. This allows the fire command center to visually see the fire source and its affected area. If the heat source image of the office area is analyzed in conjunction with smoke diffusion video data captured by multiple cameras, the server can determine whether the fire is spreading to adjacent areas. This is crucial for planning effective evacuation routes and prioritizing rescue efforts. In this way, the entire process not only significantly improves the real-time nature of data collection and processing but also provides a scientifically accurate basis for emergency response and dynamic command.

[0040] S130, Analyze the user location coordinates of the target user within the target building.

[0041] Specifically, the fire emergency management server's function of locating trapped personnel within a target building involves analyzing data and signals from inside the building to calculate the precise coordinates of the trapped individuals. Specifically, the server may utilize a pre-built 3D building information model and devices such as sensors, cameras, and AR terminals deployed within the building to capture distress signals or other location data emitted by users. The server then fuses and corrects this data with the building's spatial information, and uses positioning algorithms (such as RSSI-based multilateral positioning, visual positioning, or SLAM-based environmental mapping) to determine the user's actual coordinates within the building. This method ensures accurate location of trapped personnel even in indoor environments with weak or severely obstructed GPS signals, providing precise data support for subsequent evacuation route planning and rescue dispatch.

[0042] For example, in the event of a fire in a multi-story office building, trapped individuals can send a distress signal to a server via their smart devices. Upon receiving the signal, the server will match it with a pre-built BIM model of the building's interior. Using visual, thermal, and wireless signal data collected by cameras and other sensors installed in key locations such as corridors and meeting rooms, the server can comprehensively process the data to identify the specific location of the trapped individual, such as the coordinates of "8th floor, east side meeting room near the window." This analysis process not only needs to consider the timeliness of the signal and the fusion of multi-source data, but also must solve the problems of positioning accuracy and information matching in complex indoor environments. This ensures that the positioning results accurately reflect the situation on site, laying the foundation for dynamic planning of evacuation routes and precise guidance for rescue operations.

[0043] In one possible implementation, parsing the user location coordinates of the target user within the target building specifically includes: mapping a three-dimensional structural information model onto an AR device to obtain multiple spatial coordinate points; acquiring a distress signal sent by the target user; determining the source coordinate point based on the source location corresponding to the distress signal; and sequentially matching the source coordinate point with the multiple spatial coordinate points to determine the user location coordinates.

[0044] Specifically, the process begins by importing a pre-built 3D building model into the AR device, forming a complete spatial coordinate system. This involves extracting multiple key spatial coordinate points from the model. These points represent important locations within the building, such as stairwells, corridor corners, and room entrances, providing a basic reference for subsequent positioning. Next, the server receives distress signals from the target user. These signals typically carry some location data or can capture the user's approximate location through environmental wireless signals, serving as input for initial positioning.

[0045] For example, in the event of a fire in a large office building, trapped individuals can send out distress signals via smart devices. These signals are captured within the building via wireless networks or other sensors. The server then compares the signal with a pre-mapped 3D model on an AR device. Assuming the signal source initially indicates a location in an office corridor, the server will match this coordinate point with multiple known spatial coordinates on the AR device, comparing and correcting them against key nodes in the office area and corridor, ultimately determining the trapped individual's precise location, such as the exact coordinates of "Area B, East Wing Office Area, 8th Floor." Through this multi-data source fusion and fine-grained matching positioning method, the server can achieve high-precision positioning in complex indoor environments, effectively supporting subsequent evacuation route planning and rescue dispatch.

[0046] S140, Mark the external safe evacuation point of the target building.

[0047] Specifically, in fire emergency response scenarios, the process involves analyzing data from external building areas against preset standards to accurately determine safe evacuation points outside the building. Specifically, the server uses a 3D model of the building and external environmental information (such as the surrounding terrain, entrance / exit locations, and spaces suitable for crowd gathering) to assess multiple potential safe areas outside the building, identifying one or more safe evacuation points that best meet emergency evacuation requirements. This process considers not only the absolute location of the safe areas but also potential risks during a fire (such as smoke spread and fire direction) to ensure that the identified evacuation points are sufficiently safe, easily accessible, and have adequate assembly capacity.

[0048] For example, in the event of a fire in a large commercial complex, the server would first retrieve the building's BIM model and surrounding geographic information to identify the building's main entrances and their corresponding external environmental characteristics. After data processing, the server might determine that the open plaza outside the main entrance is spacious, unobstructed, and far from the potential direction of fire spread, thus designating it as the primary safe evacuation point. Simultaneously, it might also verify the areas surrounding secondary exits as backup options should the primary evacuation points be blocked. In this way, the server not only ensures the safety and accessibility of evacuation points but also dynamically adjusts them based on real-time conditions, providing scientific and effective evacuation guidance for people at the fire scene.

[0049] S150 generates fire evacuation paths for target users based on a three-dimensional structural information model, internal fire distribution data, user location coordinates, and external safe evacuation points.

[0050] Specifically, the building's 3D structural information model (usually a BIM model) provides the server with a detailed layout of the building, including floor plans, corridors, staircases, elevators, doors, windows, rooms, and other structural elements and their spatial relationships. This model provides the server with basic spatial coordinate data, helping it understand the overall structure of the building and the interconnectivity of its various parts. This is the foundation for generating evacuation routes. The direction and extent of fire spread are crucial for the design of evacuation routes. Internal fire distribution data describes the current state and spread of the fire by dynamically collecting data such as temperature and smoke within the building. The server uses this data to identify the location of the fire source and the spread of the fire, thereby determining which areas pose a safety risk and which areas are safe to pass through.

[0051] User location coordinates provide the specific location of trapped individuals within the building. Using positioning technologies (such as Wi-Fi signals, RFID, Bluetooth positioning, and thermal imaging), the server can obtain the user's precise location coordinates in real time, helping it determine the optimal path from the user's location to the nearest safe evacuation point. External safe evacuation points refer to pre-planned safe areas or evacuation assembly points outside the building, typically open areas far from fire sources and without fire risk, facilitating the gathering of trapped individuals and further rescue. The server uses these external evacuation points as the endpoints of the evacuation route, ensuring that evacuees can safely reach locations away from the fire.

[0052] By integrating this information, the server first uses the user's location as the starting point and combines it with the building's 3D structural information model to determine multiple possible evacuation routes. When generating routes, the server needs to consider the fire's spread and automatically avoid fire-affected areas. For example, if a passageway is within the fire's spread range, the server will eliminate that route and search for other safer paths. Furthermore, the server will evaluate the safety and travel time of each feasible route, ultimately selecting the shortest and safest evacuation route.

[0053] For example, suppose a fire breaks out in a multi-story office building, and the trapped personnel are in a conference room on the 8th floor. By acquiring real-time fire distribution data for that floor via a server, the server detects that the fire is occurring between the 5th and 7th floors, and the fire is spreading towards the 8th floor. The server first assesses the safety of multiple exits on the 8th floor, finding that the path to the stairwell is blocked by smoke and fire, making it unsuitable for evacuation. The server continues to evaluate other routes, discovering one that leads to a safe exit in another building, unaffected by the fire. Based on the 3D structural data from the BIM model, combined with the user's current location and external safe evacuation points, the server determines this path as the optimal evacuation route. The server then sends the evacuation route information to the trapped personnel via mobile devices, guiding them to safely evacuate to the safe evacuation point outside the building. In this way, the server can calculate the most suitable evacuation route for each trapped person in real-time and dynamically, greatly improving the efficiency of fire emergency response and ensuring that personnel can evacuate quickly and safely.

[0054] In one possible implementation, a fire evacuation route for the target user is generated based on a three-dimensional structural information model, internal fire distribution data, user location coordinates, and external safe evacuation points. Specifically, this includes: using the user's location coordinates as the navigation starting point; setting the external safe evacuation point as the target endpoint; generating multiple reachable paths based on the navigation starting point and the target endpoint, and integrating the preset passageway resources contained in the three-dimensional structural information model; removing paths that traverse fire zones from the reachable paths to obtain the remaining paths; ranking and evaluating the remaining paths by travel time; and determining the path with the shortest travel time among the multiple remaining paths as the fire evacuation route.

[0055] Specifically, firstly, the server uses the coordinates obtained from the real-time location of the trapped personnel as the navigation starting point, and simultaneously uses externally designated safe evacuation points as the navigation target. Utilizing the building's 3D structural information model, the server includes all pre-planned access routes and generates multiple possible evacuation routes based on the navigation starting point and target endpoint. Next, the server filters these candidate routes, removing those that inevitably pass through fire zones or are affected by fire, thus retaining only safe and feasible options. Finally, the server evaluates and ranks the remaining routes by travel time, selecting the shortest and safest route as the final fire evacuation route, ensuring that trapped personnel can be evacuated to a safe area as quickly and safely as possible.

[0056] For example, imagine a fire breaking out in a multi-story commercial building, with people trapped on the 10th floor. The server first determines the person's real-time location data as the navigation starting point and sets a spacious plaza outside the building as the safe evacuation destination. After loading the building's BIM 3D structural information model, the server identifies multiple routes leading to the external plaza. Based on real-time fire data analysis, some routes are deemed unsafe due to fire spread or excessive smoke concentration and are thus eliminated from the candidate routes. Among the remaining safe routes, the server calculates the evacuation time required for each route and ultimately determines the route connecting to the plaza via stairs and side doors as the shortest travel time. This meticulously evaluated evacuation route is then distributed to the trapped personnel, and relevant rescue departments can use it to develop corresponding rescue plans, thereby ensuring the efficiency and safety of the overall fire emergency response.

[0057] S160. Using the end point of the fire evacuation route as the reverse starting point, the emergency rescue route is derived by reverse deduction and calculation.

[0058] Specifically, after completing the fire evacuation route planning, the server uses the endpoint of the evacuation route (usually a safe area, evacuation assembly point, or a safe point outside the building) as a new starting point to reverse-engineer a route suitable for emergency rescue personnel to enter the fire scene. The key is "reverse engineering," which involves applying the original route information used to guide trapped personnel from inside the fire to a safe area in reverse to calculate a rescue route from the safe area to the fire scene, approaching the trapped personnel or the fire source. This reverse route planning fully utilizes existing building information and fire data, ensuring that rescue personnel can quickly and safely enter the fire scene from the outside to carry out rescue operations via a route similar to or complementary to the evacuation route for trapped personnel in certain areas.

[0059] For example, suppose a fire breaks out in a multi-story commercial building. Trapped individuals have already received an evacuation route planned by a server, guiding them along stairs, side doors, and outdoors to a designated safe area, such as the plaza outside the building's main entrance. The server then uses this plaza as a new starting point and, through reverse calculation, transforms the evacuation route into a rescue route. This means that the server considers factors such as fire spread, building structure, and access conditions, calculating a route from the plaza into the building, along a path that is relatively safer than the evacuation route but more suitable for fire trucks and personnel. In this way, rescue personnel can quickly and orderly enter the fire scene from the safe area according to this scientifically calculated rescue route, reaching the trapped area or the fire's epicenter. This effectively achieves coordinated connection between the "entry" and "exit," ensuring the overall efficiency and safety of the emergency rescue.

[0060] S170. Send fire evacuation routes to target users and emergency rescue routes to emergency management departments.

[0061] Specifically, the server first sends the planned fire evacuation routes for the target users (i.e., trapped individuals) to their devices, ensuring they receive real-time escape routes and guidance. Simultaneously, the server also sends emergency rescue routes, derived from fire scene information and structural models, to emergency management departments, ensuring rescue personnel can quickly understand the fire scene situation and enter to carry out rescue operations according to the optimal route. This process ensures information synchronization between trapped individuals and rescue personnel, thereby maximizing the efficiency and safety of fire emergency response.

[0062] For example, suppose a fire breaks out in a large commercial office building, trapping multiple people inside. The server first locates these trapped individuals using real-time data and, based on the fire's coverage, building structure, and safe evacuation points, plans the optimal evacuation route. The server then sends this evacuation route to each trapped individual's mobile device (such as a smartphone or AR device), clearly showing them how to safely evacuate from the fire to an assembly point outside the building. Simultaneously, the server uses the same 3D building model and fire data to generate emergency rescue routes for emergency management departments. These routes consider firefighters' equipment, personnel access, and the fire's spread, helping them accurately and quickly find the shortest path to enter the fire and reach the trapped individuals from outside the building. These rescue routes are then transmitted via a communication server to the emergency management department's command center or the rescue personnel's terminals, ensuring an orderly and efficient rescue operation.

[0063] Through this transmission of path information, the server not only provides trapped individuals with clear escape routes but also offers rescue personnel clear guidance to enter the fire scene, helping to improve the timeliness and success rate of the overall rescue. For example, within minutes of a fire breaking out, staff or intelligent servers can effectively coordinate evacuation and rescue operations using these path guides, reducing potential casualties and property damage.

[0064] In one possible implementation, the system dynamically monitors changes in the fire situation and the real-time location of the user terminal carried by the target user along the fire evacuation route. If it is determined that the safety of the target user along the fire evacuation route has decreased, the system triggers route reconstruction to generate an alternative evacuation route. The system updates the target user's fire evacuation route using the alternative evacuation route and generates a corresponding alternative rescue route. The system then synchronizes the alternative evacuation route and the alternative rescue route with the target user and the emergency management department in real time.

[0065] Specifically, the server not only tracks the changes in the fire situation after it occurs, but also monitors the location of target users (trapped personnel) along the evacuation route in real time. Once it detects that the fire situation or changes in user location have reduced the safety of the evacuation route, the server will automatically trigger route reconstruction, recalculate a safer evacuation route, and generate a new rescue route for emergency management departments accordingly. This new route information will be updated and synchronized to the devices of trapped personnel and rescuers in real time, ensuring that the route planning for both parties is always optimal and safe.

[0066] For example, suppose a fire breaks out in a multi-story office building. The server initially calculates an evacuation route, guiding trapped personnel from the fire area to a safe area outside the building via a staircase. However, shortly after the fire starts, the monitoring server detects that the fire has spread to parts of the stairwell, making the original evacuation route dangerous. At this point, the server dynamically analyzes the changes in the fire situation and finds that the safety of the stairwell has decreased, thus triggering a route reconstruction. Based on the current fire situation data, the server may choose to replan the evacuation route for users through another safe corridor or emergency exit.

[0067] For example, suppose trapped individuals are moving along a path to a safe area under server monitoring. If, on their way to their designated safe evacuation point, the fire situation changes, rendering the path unsafe, the server will immediately detect the problem and automatically update the evacuation route. The new route might involve evacuation through other exits, corridors, or refuge floors. The server will not only notify the trapped individuals of the updated evacuation route but also simultaneously generate a corresponding new rescue route, guiding firefighters to a safer path into the fire scene. For instance, firefighters might need to enter from outside the building, cross a safe area, and then approach the floor where the trapped individuals are located via a safer passage, or bypass areas where the fire is spreading.

[0068] Ultimately, the server transmits new evacuation and rescue routes in real time to the equipment of trapped personnel and emergency management departments via communication devices (such as smartphones and AR devices), ensuring that both sides can make decisions and take actions based on the latest fire situation and location data. In this way, the server not only provides accurate real-time escape guidance but also coordinates rescue operations from all parties, ensuring the safety of all relevant personnel and the efficiency of emergency response in emergencies such as fires. This dynamic monitoring and automatic adjustment mechanism can significantly improve the efficiency of emergency response and reduce potential harm and property damage.

[0069] In one possible implementation, the movement of the rescue terminal carried by the emergency management department along the emergency rescue route is monitored in real time; the current view transmitted back by the camera module on the rescue terminal is received; a navigation visualization interface is constructed based on the movement position and the current view; the navigation visualization interface is overlaid on the real image to output an AR screen with navigation prompts; and the AR screen is sent to the rescue terminal carried by the emergency management department to assist navigation.

[0070] Specifically, the server monitors the real-time location of rescue personnel and receives live video feeds from the camera modules of the rescue terminals. By combining this location information and video footage, the server can build a real-time navigation visualization interface and overlay it onto the real-world image of the scene, generating an AR (Augmented Reality) screen with navigation prompts. Ultimately, this AR navigation screen is sent to the rescue terminals to help rescue personnel find the optimal path and operational location at the fire scene.

[0071] For example, suppose a commercial building is on fire, and firefighters and emergency response teams are conducting rescue operations using rescue terminals (such as smart devices with positioning capabilities and cameras). Meanwhile, a server monitors the real-time movement of these rescue terminals, for instance, as a firefighter moves through a corridor and approaches the fire. Simultaneously, cameras on the rescue terminals continuously capture images of the scene, including information such as the current fire situation, obstacles, and evacuation routes.

[0072] By receiving this real-time data and combining it with the current location of the rescuers, the server uses navigation algorithms to generate an intuitive AR navigation interface. For example, the server will display a recommended safe route, using AR technology to overlay the route prompts directly onto the real-world scene in front of the rescuers. This allows firefighters to directly see the guidance route, helping them avoid fire sources and areas with toxic fumes, and quickly reach the location of the trapped individuals.

[0073] For example, firefighters might be entering a ground-floor lobby where a fire is raging in a particular area. Upon detecting this change, the server adjusts and recommends a safer route. Using AR technology, the server displays this new route information in real-time within the firefighter's field of vision, such as a clear red arrow on the right side of the lobby or at the stairwell entrance, indicating which path to take and how to avoid the fire source. Firefighters don't need to look back at maps or screens; instead, they see the instructions directly through head-mounted devices or rescue terminal screens, ensuring a rapid response in emergencies.

[0074] In this way, AR navigation servers not only improve the efficiency of rescuers but also effectively reduce the risk of accidentally entering dangerous areas. In complex fire environments, rescuers can obtain real-time dynamic guidance using this technology, thereby improving overall rescue efficiency and safety. Furthermore, the server can update navigation information in real time based on changes on-site, ensuring that route guidance remains consistent with the fire situation, thus maximizing the safety of rescuers and trapped individuals.

[0075] In one possible implementation, refer to Figure 2 , Figure 2 This is a flowchart illustrating a collaborative processing method for fire early warning and emergency response provided in an embodiment of this application. It includes steps S210 to S230, as follows: S210, real-time acquisition of location information corresponding to the target user and rescue personnel from the emergency management department; S220, sending the user's location information to the rescue terminal; S230, sending the rescue personnel's location information to the user terminal, thereby achieving two-way location sharing between the target user and the rescue personnel from the emergency management department.

[0076] Specifically, the server acquires the location information of the target user (such as a trapped person) and rescue personnel in real time, ensuring that the target user can clearly understand the location of the rescue personnel, while the rescue personnel can also accurately grasp the location of the target user. Then, the server sends this information to each other, enabling two-way location sharing between the target user and the rescue personnel, thereby achieving better collaborative work and efficient rescue.

[0077] For example, suppose a fire breaks out in a multi-story commercial building. A target user (e.g., an employee trapped on the second floor) sends a distress signal to the emergency management department (such as the fire department). The server first obtains the user's location information in real time using positioning technology (such as GPS or an indoor positioning server) and sends this information to the fire department's rescue terminal. At the same time, firefighters are waiting to enter the building from outside or at the stairwell, and their location information is also transmitted to the user's terminal in real time.

[0078] During this process, target users will be able to see their own location and the location of rescue personnel (such as firefighters crossing the first-floor lobby to enter the second floor). Users can obtain dynamic information about rescue personnel through mobile devices (such as mobile phones, smartwatches, or AR devices). If users are lost in the second-floor corridor or cannot determine the best escape route, the server will provide clear location information, informing users that nearby firefighters are approaching them, or that firefighters are walking towards them along a certain staircase.

[0079] For example, in the event of a fire spreading in a stairwell, the server can continuously update the location information to inform the target user in real time that rescuers may face path obstruction and be unable to approach. At this point, the target user can receive a notification instructing them to wait for safer rescuers to approach, or to move to another safe area according to a temporary evacuation route recommended by the server.

[0080] Meanwhile, firefighters can also see the real-time location information of the target user through their terminals. If rescuers discover that the fire is spreading to the floor or area where the target user is located, firefighters can adjust their rescue routes in real time based on the location information to avoid entering areas with more severe fires. For example, rescuers may know that the target user is in a conference room, and the corridor near the conference room is affected by the fire. In this case, rescuers can bypass the dangerous area and choose a safer route to reach the target user.

[0081] Through this two-way location sharing, the server enables real-time interaction between the target user and rescue personnel, greatly improving coordination and rescue efficiency. In emergencies such as fires, real-time location sharing ensures that rescue personnel can quickly and accurately approach trapped individuals, while trapped individuals can better understand the progress of rescuers in complex environments, thereby reducing panic and accelerating evacuation.

[0082] This application also provides a fire early warning and emergency response collaborative processing device, referring to... Figure 3 , Figure 3This is a schematic diagram of a fire early warning and emergency response collaborative processing device provided in an embodiment of this application. The device is a server, which includes an acquisition module 31 and a processing module 32. The acquisition module 31 acquires a three-dimensional structural information model of the target building where a fire has occurred; the processing module 32 dynamically collects internal fire distribution data of the target building; the processing module 32 parses the user location coordinates of the target users within the target building; the processing module 32 calibrates the external safe evacuation points of the target building; the processing module 32 generates a fire evacuation path for the target users based on the three-dimensional structural information model, internal fire distribution data, user location coordinates, and external safe evacuation points; the processing module 32 uses the end point of the fire evacuation path as the reverse starting point to reverse-engineer and calculate the emergency rescue path; the processing module 32 sends the fire evacuation path to the target users and the emergency rescue path to the emergency management department.

[0083] In one possible implementation, the internal fire distribution data of the target building is dynamically collected, specifically including: the processing module 32 controls the monitoring system deployed inside the target building to collect heat source images and / or smoke diffusion videos; the processing module 32 performs pattern recognition and area classification on the heat source images and / or smoke diffusion videos, and outputs a fire spatial distribution map including the location of the fire source and the affected range, so as to obtain the internal fire distribution data.

[0084] In one possible implementation, the processing module 32 parses the user location coordinates of the target user within the target building, specifically including: the processing module 32 maps the three-dimensional structural information model onto the AR device to obtain multiple spatial coordinate points; the acquisition module 31 acquires the distress signal sent by the target user; the processing module 32 determines the source coordinate point based on the source location corresponding to the distress signal; and the processing module 32 sequentially matches the source coordinate point with the multiple spatial coordinate points to determine the user location coordinates.

[0085] In one possible implementation, the processing module 32 generates a fire evacuation path for the target user based on a three-dimensional structural information model, internal fire distribution data, user location coordinates, and external safe evacuation points. Specifically, the processing module 32 uses the user's location coordinates as the navigation starting point; the processing module 32 sets the external safe evacuation point as the target endpoint; the processing module 32 generates multiple reachable paths based on the navigation starting point and the target endpoint, and integrates the preset passageway resources contained in the three-dimensional structural information model; the processing module 32 removes paths that traverse fire zones from the reachable paths to obtain the remaining paths; the processing module 32 sorts and evaluates the remaining paths according to their travel time; and the processing module 32 determines the path with the shortest travel time among the multiple remaining paths as the fire evacuation path.

[0086] In one possible implementation, the processing module 32 dynamically monitors changes in the fire situation and the real-time location of the user terminal carried by the target user in the fire evacuation path; if the processing module 32 determines that the safety of the target user in the fire evacuation path has decreased, it triggers path reconstruction and generates an alternative evacuation path; the processing module 32 updates the target user's fire evacuation path through the alternative evacuation path, and at the same time generates a corresponding alternative rescue path; the processing module 32 synchronizes the alternative evacuation path and the alternative rescue path to the target user and the emergency management department in real time.

[0087] In one possible implementation, the processing module 32 monitors the movement of the rescue terminal carried by the emergency management department along the emergency rescue route in real time; the processing module 32 receives the current view transmitted back by the camera module on the rescue terminal; the processing module 32 constructs a navigation visualization interface based on the movement position and the current view; the processing module 32 overlays the navigation visualization interface onto the real image and outputs an AR screen with navigation prompts; the processing module 32 sends the AR screen to the rescue terminal carried by the emergency management department to assist navigation.

[0088] In one possible implementation, the acquisition module 31 acquires the location information corresponding to the target user and the rescue personnel of the emergency management department in real time; the processing module 32 sends the user's location information to the rescue terminal; the processing module 32 sends the rescue personnel's location information to the user terminal, so as to realize two-way location sharing between the target user and the rescue personnel of the emergency management department.

[0089] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0090] This application also provides an electronic device, with reference to... Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: at least one processor 41, at least one network interface 44, a user interface 43, a memory 45, and at least one communication bus 42.

[0091] The communication bus 42 is used to enable communication between these components.

[0092] The user interface 43 may include a display screen and a camera. Optionally, the user interface 43 may also include a standard wired interface and a wireless interface.

[0093] The network interface 44 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0094] The processor 41 may include one or more processing cores. The processor 41 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 45, and by calling data stored in the memory 45. Optionally, the processor 41 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 41 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 41 and may be implemented as a separate chip.

[0095] The memory 45 may include random access memory (RAM) or read-only memory. Optionally, the memory 45 may include a non-transitory computer-readable storage medium. The memory 45 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 45 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 45 may also be at least one storage device located remotely from the aforementioned processor 41. Figure 4 As shown, the memory 45, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a collaborative processing method for fire early warning and emergency response.

[0096] exist Figure 4 In the electronic device shown, the user interface 43 is mainly used to provide an input interface for the user and to obtain the user input data; while the processor 41 can be used to call an application program stored in the memory 45 for a fire warning and emergency response collaborative processing method. When executed by one or more processors, the electronic device executes one or more methods as described in the above embodiments.

[0097] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0098] This application also provides a computer-readable storage medium storing instructions. When executed by one or more processors, these instructions cause an electronic device to perform one or more of the methods described in the above embodiments.

[0099] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0100] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings or direct couplings or communication connections may be through some service interfaces; indirect couplings or communication connections between apparatuses or units may be electrical or other forms.

[0101] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0102] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0103] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0104] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of other embodiments of this disclosure upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for coordinated fire early warning and emergency response, characterized in that, The method includes: Obtain a three-dimensional structural information model of the target building where the fire occurred; Dynamically collect internal fire distribution data of the target building; Analyze the user location coordinates within the target building; Mark the external safe evacuation point of the target building; Based on the three-dimensional structural information model, the internal fire distribution data, the user's location coordinates, and the external safe evacuation points, a fire evacuation path is generated for the target user. The emergency rescue path is obtained by reverse deduction and calculation using the end point of the fire evacuation route as the reverse starting point. The fire evacuation route is sent to the target user, and the emergency rescue route is sent to the emergency management department.

2. The fire early warning and emergency response collaborative processing method according to claim 1, characterized in that, The dynamic acquisition of internal fire distribution data of the target building specifically includes: Control the monitoring system deployed inside the target building to collect images of heat sources and / or videos of smoke diffusion; The heat source image and / or smoke diffusion video are subjected to pattern recognition and region classification to output a fire spatial distribution map containing the fire source location and the affected range, so as to obtain the internal fire distribution data.

3. The fire early warning and emergency response collaborative processing method according to claim 1, characterized in that, The process of parsing the user location coordinates within the target building specifically includes: The three-dimensional structural information model is mapped onto the AR device to obtain multiple spatial coordinate points; Obtain the distress signal sent by the target user; Based on the location of the source corresponding to the distress signal, determine the coordinates of the source; The source coordinates are matched sequentially with multiple spatial coordinates to determine the user's location coordinates.

4. The fire early warning and emergency response collaborative processing method according to claim 1, characterized in that, The process of generating a fire evacuation path for the target user based on the three-dimensional structural information model, the internal fire distribution data, the user's location coordinates, and the external safe evacuation points specifically includes: Use the user's location coordinates as the navigation starting point; Set the external safe evacuation point as the target endpoint; Based on the navigation starting point and the target destination, multiple reachable paths are generated by integrating the preset access channels contained in the three-dimensional structural information model; The remaining paths are obtained by removing paths that traverse fire zones from the reachable paths. The remaining paths are evaluated by sorting and ranking them by travel time; The path with the shortest travel time among the remaining paths is determined as the fire evacuation path.

5. The fire early warning and emergency response collaborative processing method according to claim 1, characterized in that, The method further includes: Dynamically monitor changes in the fire situation and the real-time location of the user terminal carried by the target user in the fire evacuation path; If it is determined that the safety of the target user is reduced in the fire evacuation route, then route reconstruction is triggered to generate an alternative evacuation route; The fire evacuation path of the target user is updated by the alternative evacuation path, and a corresponding alternative rescue path is generated at the same time. The alternative evacuation routes and alternative rescue routes are synchronized in real time to the target user and the emergency management department.

6. The fire early warning and emergency response collaborative processing method according to claim 5, characterized in that, The method further includes: Real-time monitoring of the movement of the rescue terminals carried by the emergency management department along the emergency rescue route; Receive the current view transmitted back by the camera module on the rescue terminal; Based on the movement location and the current view, a navigation visualization interface is constructed; The navigation visualization interface is overlaid on a real image to output an AR screen with navigation prompts; The AR imagery is sent to the rescue terminal carried by the emergency management department to assist in navigation.

7. The fire early warning and emergency response collaborative processing method according to claim 6, characterized in that, The method further includes: The location information of the target user and the rescue personnel of the emergency management department can be obtained in real time. Send the user's location information to the rescue terminal; The location information of the rescue personnel is sent to the user terminal to achieve two-way location sharing between the target user and the rescue personnel of the emergency management department.

8. A fire early warning and emergency response collaborative processing device, characterized in that, The device includes an acquisition module (31) and a processing module (32), wherein, The acquisition module (31) is used to acquire the three-dimensional structural information model of the target building where the fire occurred; The processing module (32) is used to dynamically collect internal fire distribution data of the target building; The processing module (32) is also used to parse the user location coordinates of the target user within the target building; The processing module (32) is also used to mark the external safe evacuation point of the target building; The processing module (32) is also used to generate a fire evacuation path for the target user based on the three-dimensional structural information model, the internal fire distribution data, the user location coordinates and the external safe evacuation point; The processing module (32) is also used to take the end point of the fire evacuation route as the reverse starting point, reverse the deduction and calculation to obtain the emergency rescue route; The processing module (32) is also used to send the fire evacuation route to the target user and the emergency rescue route to the emergency management department.

9. An electronic device, characterized in that, The electronic device includes a processor (41), a memory (45), a user interface (43), and a network interface (44). The memory (45) is used to store instructions. The user interface (43) and the network interface (44) are both used to communicate with other devices. The processor (41) is used to execute the instructions stored in the memory (45) to cause the electronic device to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1 to 7.

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