Unmanned equipment emergency management method and device applied to emergencies

Abstract

The invention provides an unmanned equipment emergency management method and device applied to emergencies, and relates to the field of data processing. In the method, event attributes for an emergency are obtained, and the event attributes comprise disaster types, influence ranges and the number of disaster victims; generating an emergency task according to the disaster type, the influence range and the number of disaster victims; identifying and analyzing the emergency tasks to obtain priorities corresponding to the emergency tasks; according to the priority, unmanned equipment is controlled to execute the emergency task, and the unmanned equipment comprises a connection vehicle, a sweeping vehicle, a mower and a disinfection vehicle. By implementing the technical scheme provided by the invention, the emergency management efficiency of emergencies can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to an unmanned equipment emergency management method and device applied to emergencies. Background Art

[0002] With the acceleration of global climate change and urbanization, natural disasters, public health incidents and other emergencies have occurred frequently, causing huge losses of life and property to society. Therefore, how to respond to emergencies quickly and effectively, reduce losses, and protect people’s lives and property has become the focus of attention from all walks of life.

[0003] At present, traditional emergency response methods often rely on manual collection and analysis of information, formulation of emergency plans, and finally dispatching resources for rescue. However, when manually processing information, it may be inefficient due to fatigue, distraction or lack of professional tools, so it cannot meet the emergency management efficiency requirements for emergencies.

[0004] Therefore, there is an urgent need for an unmanned equipment emergency management method and device for emergency events. Summary of the invention

[0005] The present application provides an unmanned equipment emergency management method and device applied to emergencies, which is convenient for improving the emergency management efficiency of emergencies.

[0006] In a first aspect of the present application, a method for emergency management of unmanned equipment applied to emergencies is provided, the method comprising: obtaining event attributes for the emergency, the event attributes comprising disaster type, impact range and number of affected persons; generating an emergency task according to the disaster type, the impact range and number of affected persons; identifying and analyzing the emergency task to obtain the priority corresponding to the emergency task; and controlling the unmanned equipment to execute the emergency task according to the priority, the unmanned equipment comprising a shuttle bus, a sweeper, a lawn mower and a disinfection vehicle.

[0007] By adopting the above technical solution, the event attributes of the emergency, such as the type of disaster, the scope of impact, and the number of affected people, can be quickly obtained in an automated manner, thereby reducing the time for manual information collection. Once the event attributes are obtained, the system can immediately generate emergency tasks based on this information without waiting for manual analysis or decision-making, thereby greatly improving the response speed. Automated and intelligent systems can reduce human errors, such as data entry errors, analysis deviations, etc., thereby improving the accuracy of event attributes and emergency task generation. Through a comprehensive assessment of the type of disaster, the scope of impact, and the number of affected people, the system can generate more accurate and targeted emergency tasks. Identifying and analyzing emergency tasks and assigning corresponding priorities can help prioritize those tasks that are more critical to reducing losses and ensuring personnel safety when resources are limited. Clear priority setting can make rescue work more orderly and efficient, avoiding waste and delays in resources. Using unmanned equipment (such as shuttles, sweepers, lawn mowers, disinfection vehicles, etc.) to perform emergency tasks can reduce personnel risks, especially in dangerous environments. Unmanned equipment can work continuously without being affected by fatigue and personnel limitations, thereby improving the efficiency and effectiveness of emergency response. By scheduling unmanned equipment according to mission priorities, resources can be optimally utilized to avoid resource waste and duplication of work. Unmanned equipment can be quickly deployed and reconfigured according to mission requirements, improving the flexibility and efficiency of emergency management.

[0008] Optionally, the obtaining of event attributes for an emergency event specifically includes: receiving an event announcement for the emergency event sent by an emergency management department; preprocessing the event announcement to obtain the event attributes, wherein the preprocessing includes denoising, filtering, semantic analysis and normalization.

[0009] By adopting the above technical solution, the event announcements sent by the emergency management department are received, ensuring the authority and credibility of the information. The event announcement may contain irrelevant or repeated information. The denoising process can remove this redundant information to make the data purer. Filter specific information according to needs, such as focusing only on key attributes such as disaster type, impact range and number of affected people. Through natural language processing technology, the announcement is deeply parsed to extract structured event attribute information. Convert data from different sources or formats into a unified format or standard to facilitate subsequent analysis and comparison. Through automated preprocessing processes, the need for manual intervention can be greatly reduced, and the efficiency and accuracy of data processing can be improved. Especially when processing large amounts of data, automated processing can significantly reduce the manual burden. Denoising and filtering in the preprocessing step can reduce noise and outliers in the data and improve the robustness of the system. Even if there are some problems or errors in the original data, the system can correct or reduce their impact through preprocessing. The preprocessed event attribute data is more standardized, accurate and easy to understand, providing strong support for subsequent analysis and decision-making. The emergency management department can quickly generate emergency tasks based on these attribute data and make accurate decisions.

[0010] Optionally, generating an emergency task based on the disaster type, the impact scope and the number of affected persons specifically includes: determining the location of the affected persons based on the disaster type, the impact scope and the number of affected persons; planning a rescue route and rescue stops based on the location of the affected persons; and generating a rescue task based on the rescue route and the rescue stops.

[0011] By adopting the above technical solution, by determining the location of the victims, the rescue team can go directly to the target location and achieve accurate rescue. This greatly reduces the time for searching and confirming the location of the victims and improves the efficiency of rescue. Based on the location of the victims, the rescue team can reasonably plan the rescue route and rescue stop points to ensure the effective use of rescue resources. This avoids the waste and duplication of resources and makes the rescue work more efficient. The planned rescue route can ensure that the rescue team reaches the disaster site in the shortest time, so as to start the rescue work as soon as possible. The setting of rescue stop points can provide the rescue team with necessary material replenishment and personnel rotation to ensure the continuous progress of the rescue work. When planning the rescue route, it can be considered to avoid possible dangerous areas or secondary disaster risk points to ensure the safety of the rescue team. This reduces the risk of secondary disasters that may occur during the rescue process and ensures the life safety of the rescuers. The key factor of disaster type is taken into account in the process, so that the generated emergency tasks can take corresponding rescue measures for different disaster types. This improves the pertinence and effectiveness of emergency response and makes the rescue work more in line with actual needs. The entire process generates emergency tasks based on specific data such as disaster type, impact range, and number of affected people, making decision-making more scientific and reasonable. This avoids subjective assumptions and blind actions, and improves the accuracy and effectiveness of emergency response.

[0012] Optionally, generating an emergency task based on the disaster type, the impact scope and the number of affected persons specifically includes: determining road damage conditions based on the disaster type, the impact scope and the number of affected persons; calculating a clearing route and a clearing area based on the road damage conditions; and generating a restoration task based on the clearing route and the clearing area.

[0013] By adopting the above technical solutions, the severity and urgency of disasters can be assessed more accurately by considering multiple dimensions such as disaster type, impact range, and number of affected people. This accuracy ensures the pertinence and effectiveness of emergency tasks and avoids waste and delays in resources. When determining the road damage status, it is based on scientific analysis of disaster type and disaster situation, rather than subjective impressions or experience. This data-based decision-making method is more scientific and objective, and helps to improve the efficiency and accuracy of emergency response. According to the road damage status, the cleaning route and cleaning area are calculated, providing clear guidance for emergency response. This clarity enables emergency personnel to carry out their work quickly and accurately, improving the efficiency and effectiveness of emergency response. The recovery tasks generated based on the cleaning routes and cleaning areas provide a clear roadmap and timetable for post-disaster recovery work. This helps to ensure the orderly progress of recovery work, reduce confusion and delays, and accelerate the recovery process of the disaster area. The entire process reflects the ability to respond quickly and effectively to disasters. After a disaster occurs, emergency tasks can be quickly generated based on disaster information to provide timely and effective assistance and support to the disaster area and reduce the losses and impacts caused by the disaster. This method of generating emergency tasks based on disaster information is replicable and promotable. Similar methods can be used to generate emergency tasks in disasters of different types and scales, providing strong support for emergency response and recovery work in disaster areas.

[0014] Optionally, the emergency task is generated according to the disaster type, the impact scope and the number of affected persons, specifically including: determining the area and population distribution of the disaster-stricken region according to the disaster type, the impact scope and the number of affected persons; planning disinfection routes and disinfection areas based on the area and population distribution of the disaster-stricken region; generating an epidemic prevention task according to the disinfection routes and the disinfection areas, and the emergency task includes the rescue task, the recovery task and the epidemic prevention task.

[0015] By adopting the above technical solutions, the formulation of emergency tasks not only takes into account disaster rescue and recovery, but also incorporates epidemic prevention work. This comprehensive and integrated consideration helps to deal with multiple emergency issues at the same time after a disaster occurs and improves the overall response capacity. Planning disinfection routes and disinfection areas based on the area and population distribution of the disaster-stricken area can prevent and control the spread of diseases in a timely and effective manner. This preventive measure can reduce the risk of post-disaster epidemic outbreaks and protect the lives of the affected people. Planning disinfection tasks based on the area and population distribution of the disaster-stricken area can ensure the rational allocation and effective use of epidemic prevention resources. This targeted measure can ensure that key areas and key groups receive timely and effective epidemic prevention support. Emergency tasks include rescue, recovery and epidemic prevention, and these tasks need to be coordinated and promoted in a coherent manner. Incorporating epidemic prevention tasks into the overall framework of emergency tasks can help ensure the coordination and coherence between various tasks and improve the overall response effect. Timely and effective epidemic prevention measures can reduce the spread of the epidemic and panic, and enhance the public's confidence in disaster response. This increase in confidence is of great significance to stabilizing social order and promoting post-disaster recovery. The effective implementation of epidemic prevention tasks will help reduce the impact of diseases on disaster-stricken people and create favorable conditions for post-disaster recovery. At the same time, the advancement of rescue and recovery tasks can speed up infrastructure construction and economic recovery in disaster-stricken areas.

[0016] Optionally, the emergency task is identified and analyzed to obtain the priority corresponding to the emergency task, specifically including: if the emergency task is confirmed to be the rescue task, the priority is determined to be the first priority; if the emergency task is confirmed to be the recovery task, the priority is determined to be the second priority, and the second priority is lower than the first priority; if the emergency task is confirmed to be the disinfection task, the priority is determined to be the third priority, and the third priority is lower than the second priority.

[0017] By adopting the above technical solution, the emergency tasks are divided into different priorities through identification and analysis, which can clarify the importance and urgency of each task, thereby optimizing the allocation of resources. Ensure that the most important task, namely the rescue task, is executed first, followed by the recovery task, and finally the disinfection task. This configuration can maximize the utilization efficiency of resources and ensure the maximum rescue effect within a limited time. Setting the rescue task as the first priority can ensure that rescue personnel, equipment and materials arrive at the disaster area as soon as possible to search and rescue personnel and treat the wounded. This rapid response can minimize casualties and reduce disaster losses. The recovery task, as the second priority, can be quickly launched after the rescue work is basically completed. This includes the repair of infrastructure, the restoration of production and life, etc., to provide basic living security for the people in the disaster area. Orderly recovery work will help the disaster area to restore normal order as soon as possible and reduce the impact of the disaster on the economy and society. Although the priority of the disinfection task is relatively low, it is of great significance in preventing the spread of the epidemic. Setting the disinfection task as the third priority can carry out comprehensive and thorough disinfection of the disaster area after the rescue and recovery work is basically completed, reducing the risk of an epidemic outbreak. This is of great significance for protecting the life safety and physical health of the people in the disaster area. This prioritization is not static but can be adjusted according to actual conditions.

[0018] Optionally, the unmanned equipment also includes a patrol car, and the method also includes: receiving image data sent by the patrol car for the event area corresponding to the emergency; performing image analysis on the image data to obtain real-time demand changes and task progress changes in the event area; updating the emergency task according to the implementation demand changes and the task progress changes to obtain a dynamic task; and controlling the unmanned equipment to execute the dynamic task.

[0019] By adopting the above technical solution, patrol cars can provide real-time feedback on the on-site situation by sending image data of the incident area. This real-time feature enables the emergency response team to quickly understand the latest developments in the incident area and make timely and accurate decisions. By analyzing the image data, real-time demand changes in the incident area can be obtained. Such demand changes may include new rescue needs, material needs, medical needs, etc. Timely perception of these changes helps the emergency response team to quickly adjust resource allocation to meet the actual needs of the site. According to real-time demand changes and task progress changes, the emergency tasks are dynamically updated to obtain dynamic tasks. This dynamic update can ensure that the emergency response team always pays attention to the actual needs of the site and flexibly adjusts the task arrangement according to the actual situation, thereby improving the flexibility and effectiveness of the emergency response. Controlling unmanned equipment to perform dynamic tasks can give full play to the advantages of unmanned equipment. Unmanned equipment can perform tasks in complex and dangerous environments, reduce the burden of manpower, and improve the efficiency of task execution. The use of patrol cars and unmanned equipment can reduce the direct participation of personnel in dangerous environments, thereby reducing the risk of casualties. This advantage is particularly evident at disaster sites such as fires and earthquakes. Through real-time data analysis and dynamic task updates, it can ensure that the emergency response team always has the latest developments on the site and makes timely adjustments according to the actual situation. This efficient and flexible emergency response method helps to improve the overall response effect and minimize the losses caused by disasters.

[0020] In a second aspect of the present application, an unmanned equipment emergency management device for emergency events is provided, the unmanned equipment emergency management device comprising an acquisition module and a processing module, wherein the acquisition module is used to obtain event attributes for the emergency event, the event attributes including the disaster type, the impact range and the number of affected persons; the processing module is used to generate an emergency task according to the disaster type, the impact range and the number of affected persons; the processing module is also used to identify and analyze the emergency task to obtain the priority corresponding to the emergency task; the processing module is also used to control the unmanned equipment to perform the emergency task according to the priority, the unmanned equipment including a shuttle bus, a sweeper, a lawn mower and a disinfection vehicle.

[0021] In the third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs the method described above.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, the method described above is executed.

[0023] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: Through automation, the event attributes of emergencies, such as disaster type, impact range, and number of affected people, can be quickly obtained, thereby reducing the time for manual information collection. Once the event attributes are obtained, the system can immediately generate emergency tasks based on this information without waiting for manual analysis or decision-making, thereby greatly improving the response speed. Automated and intelligent systems can reduce human errors, such as data entry errors and analysis deviations, thereby improving the accuracy of event attributes and emergency task generation. Through a comprehensive assessment of the type of disaster, the scope of impact, and the number of affected people, the system can generate more accurate and targeted emergency tasks. Identifying and analyzing emergency tasks and assigning corresponding priorities can help prioritize those tasks that are more critical to reducing losses and ensuring personnel safety when resources are limited. Clear priority setting can make rescue work more orderly and efficient, avoiding waste and delays in resources. Using unmanned equipment (such as shuttles, sweepers, lawn mowers, disinfection vehicles, etc.) to perform emergency tasks can reduce personnel risks, especially in dangerous environments. Unmanned equipment can work continuously without being affected by fatigue and personnel limitations, thereby improving the efficiency and effectiveness of emergency response. By scheduling unmanned equipment according to mission priorities, resources can be optimally utilized to avoid resource waste and duplication of work. Unmanned equipment can be quickly deployed and reconfigured according to mission requirements, improving the flexibility and efficiency of emergency management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flowchart of an unmanned equipment emergency management method applied to emergencies provided in an embodiment of the present application.

[0025] Figure 2 Another flowchart of an unmanned equipment emergency management method applied to emergencies provided in an embodiment of the present application.

[0026] Figure 3 A module diagram of an unmanned equipment emergency management device for emergency events provided in an embodiment of the present application.

[0027] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0028] Explanation of the reference numerals: 31, acquisition module; 32, processing module; 41, processor; 42, communication bus; 43, user interface; 44, network interface; 45, memory. DETAILED DESCRIPTION

[0029] In order to enable technicians in this field 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 in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0030] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0031] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0032] With the intensification of global climate change and the rapid advancement of urbanization, natural disasters and public health incidents have occurred frequently, causing unprecedented loss of life and property to society. Therefore, how to respond quickly and efficiently in these emergencies to minimize losses and ensure the safety of people's lives and property has become an urgent concern of all sectors of society.

[0033] At present, the traditional emergency response method mainly relies on manual information collection, analysis and emergency plan formulation, followed by resource dispatch and rescue work. However, this method has obvious limitations. In an emergency, manual information processing may be affected by factors such as fatigue, distraction or lack of professional tools, resulting in low response efficiency and difficulty in meeting the high efficiency requirements of emergency management of emergencies.

[0034] In order to solve the above technical problems, the present application provides an unmanned equipment emergency management method for emergency events, referring to Figure 1 , Figure 1 A flowchart of an unmanned equipment emergency management method for an emergency event provided in an embodiment of the present application. The unmanned equipment emergency management method is applied to a server, and includes steps S110 to S140, which are as follows: S110: Acquire event attributes for the emergency event, where the event attributes include disaster type, impact range, and number of affected persons.

[0035] Specifically, the type of disaster refers to the specific type of disaster that occurs, such as earthquakes, floods, fires, typhoons, etc. Understanding the type of disaster is crucial for subsequent emergency response and resource allocation. The scope of impact refers to the geographical area or field affected by the disaster. This can be a specific geographical coordinate range or an administrative area, such as a certain area in a city. Understanding the scope of impact helps to assess the severity and potential impact of the disaster. The number of people affected refers to the number of people affected by the disaster. This data is crucial for assessing the humanitarian impact of the disaster, formulating rescue plans, and predicting subsequent needs (such as food, water, medical supplies, etc.). Among them, the server is responsible for emergency handling of the entire emergency.

[0036] For example, suppose an earthquake suddenly occurs in a certain area. The server needs to quickly obtain event attributes related to the earthquake in order to make subsequent emergency responses and decisions. The disaster type obtained by the server is "earthquake". Through the earthquake monitoring system and geographic information system, the server determines that the epicenter of the earthquake is located in XX County of a certain city, with a magnitude of X, and calculates the possible affected area, including the county and several surrounding towns. Based on preliminary casualty reports and population distribution data in the affected areas, the server estimates that approximately XX million people were affected by the earthquake, including XX injured, XX missing, and XX dead.

[0037] In a possible implementation, obtaining event attributes for an emergency event specifically includes: receiving an event announcement for an emergency event sent by an emergency management department; preprocessing the event announcement to obtain event attributes, the preprocessing including denoising, filtering, semantic analysis and normalization.

[0038] Specifically, when an emergency occurs, the emergency management department will issue an event announcement related to the event. This announcement usually contains detailed information about the event, such as time, location, disaster type, preliminary impact assessment, etc. As the receiver, the server will listen to or subscribe to the announcements issued by the emergency management department to ensure that it can be received quickly after the announcement is issued. Event announcements usually contain a large amount of text information and possible noise data (such as format errors, irrelevant information, repeated content, etc.). In order to accurately extract event attributes, a series of preprocessing operations are required. Denoising: Remove noise data in the announcement, such as format errors, advertising links, comments irrelevant to the event, etc. Filtering: Further filter information, remove duplicate content or retain only the parts related to event attributes. Semantic analysis: Use natural language processing technology to parse the announcement, understand the meaning of the text, and extract key information related to event attributes. Normalization: Convert the extracted information into a unified format or unit for subsequent analysis and processing.

[0039] For example, when the server receives an emergency announcement such as "

Emergency Announcement

Emergency Announcement

[0040] S120. Generate emergency tasks according to the disaster type, impact scope, and number of affected persons.

[0041] Specifically, the server will determine the basic response measures that need to be taken according to the type of disaster, such as search and rescue, medical rescue, infrastructure repair, etc. for earthquakes; evacuation, flood control and disaster relief, epidemic prevention and disinfection after floods, etc. At the same time, the server will also assess the scale and scope of resources required according to the scope of impact, as well as the number of affected people to estimate the urgency and importance of rescue.

[0042] In one possible implementation, an emergency task is generated based on the type of disaster, the scope of impact, and the number of affected persons, specifically including: determining the location of the affected persons based on the type of disaster, the scope of impact, and the number of affected persons; planning a rescue route and rescue stops based on the location of the affected persons; and generating a rescue task based on the rescue route and rescue stops.

[0043] Specifically, when a disaster (such as an earthquake, flood, fire, etc.) occurs, the server's primary task is to determine which areas are affected and how many people in these areas need rescue. The server will use existing data (such as population distribution data, mobile communication data, etc.) and information provided by disaster monitoring equipment (such as earthquake monitoring stations, satellite images, etc.) to estimate and determine the possible locations of disaster victims. Once the location of the disaster victims is determined, the next step is to plan the rescue route. This usually involves considering multiple factors, such as road conditions (whether it is unobstructed, whether there are obstacles), distance, availability and speed of rescue resources (such as ambulances, helicopters, etc.). Rescue stops are set on the rescue route for the assembly, replenishment and redistribution of rescue resources. These stops may be set in safe areas to facilitate the rapid arrival of rescue personnel and equipment. Based on the planned rescue routes and stops, the server will generate specific rescue tasks. These tasks may include assigning specific rescue teams, allocating rescue resources (such as food, water, medical supplies, etc.), setting rescue schedules, etc. The generated rescue tasks will be sent to the relevant unmanned equipment so that they can quickly carry out rescue operations according to the mission requirements.

[0044] For example, suppose an earthquake occurs in a city, causing severe damage to several blocks in the city center and trapping a large number of residents. The server determines the magnitude and epicenter of the earthquake by analyzing data from the seismic monitoring station. Then, the server uses population distribution data and mobile communication data to estimate the number of affected people and their approximate locations in several blocks in the city center. The server plans several possible rescue routes based on road conditions and the distribution of rescue resources. These routes may include detours that avoid collapsed buildings and congested roads. On the rescue routes, the server sets several rescue stops, which are located in safe areas to facilitate shuttle buses to resupply and personnel rotation. The server generates specific rescue tasks based on the planned rescue routes and stops. For example, the first rescue team is assigned to go to block X along route A for search and rescue, and sufficient food, water and medical supplies are allocated to the team. Another rescue team is assigned to go to block Y along route B and resupply at the stops along the way. These rescue tasks are quickly sent to the relevant unmanned equipment, which quickly launch rescue operations according to the mission requirements.

[0045] In one possible implementation, an emergency task is generated based on the type of disaster, the scope of impact, and the number of affected people, specifically including: determining the road damage condition based on the type of disaster, the scope of impact, and the number of affected people; calculating the clearing route and clearing area based on the road damage condition; and generating a restoration task based on the clearing route and clearing area.

[0046] Specifically, after a disaster occurs, especially in natural disasters such as earthquakes, floods, and storms, roads are likely to be damaged to varying degrees. These damages may include cracks in the road surface, collapse, bridge fractures, road blockages, etc. Based on the type of disaster and the scope of impact, it is possible to preliminarily estimate which areas of roads may be damaged. Then, the specific road damage conditions are determined through field surveys, satellite image analysis, drone reconnaissance, etc. Once the road damage conditions are determined, it is necessary to plan how to clean and repair these damaged roads. First, it is necessary to determine the cleaning route, that is, to determine which roads need to be cleaned first in order to restore traffic and rescue work. Then, based on the severity and scope of the road damage, determine the areas that need to be cleaned and repaired. These areas may include individual road sections, entire streets, or larger areas. When calculating the cleaning route and cleaning area, factors such as resource allocation, working hours, and safety also need to be considered. Based on the cleaning route and cleaning area, the server can generate specific recovery tasks. These tasks may include: assigning specific sweepers to designated areas for cleaning work. Allocating necessary materials and resources, such as sand, cement, and mechanical equipment. Set a schedule for cleanup and restoration work to ensure that it is completed within the scheduled time. These recovery tasks will be sent to relevant rescue organizations and personnel so that they can act quickly according to the mission requirements.

[0047] For example, suppose a flood disaster occurs in an area, and the floods have destroyed several main roads, resulting in traffic interruptions and hindering rescue and recovery work. Through satellite image analysis and field surveys, it was found that the floods caused serious damage to several main roads, including road collapse and bridge fractures. First, a main road leading from the disaster area to the outside world was identified as a priority cleanup route. The restoration of this road is crucial for the transportation of relief supplies and the evacuation of people from the disaster area. Then, based on the severity and scope of the road damage, the areas that need to be cleaned and repaired, including several key bridges and sections, were identified. When calculating the cleaning routes and cleaning areas, resource allocation and working time were also considered to ensure that the cleaning and repair of key sections can be completed in the shortest time. Based on the cleaning routes and cleaning areas, specific recovery tasks were generated. For example, a team of sweepers and cleaning personnel was assigned to go to the key bridges for cleaning and repair work; at the same time, another team was responsible for cleaning and repairing other damaged sections on the main roads. These recovery tasks were quickly sent to relevant rescue organizations and personnel, who quickly took action according to the task requirements to ensure that traffic between the disaster area and the outside world was restored as soon as possible.

[0048] In one possible implementation, emergency tasks are generated based on the type of disaster, the scope of impact, and the number of affected people, specifically including: determining the area and population distribution of the disaster-stricken region based on the type of disaster, the scope of impact, and the number of affected people; planning disinfection routes and disinfection areas based on the area and population distribution of the disaster-stricken region; generating epidemic prevention tasks based on the disinfection routes and disinfection areas. Emergency tasks include rescue tasks, recovery tasks, and epidemic prevention tasks.

[0049] Specifically, first of all, it is necessary to determine the specific area affected by the disaster based on the type of disaster and the scope of impact. For example, if it is an earthquake, it may be necessary to determine the area affected by the earthquake based on the magnitude and focal depth of the earthquake, combined with the geological and geomorphological characteristics; if it is a flood, it may be necessary to determine the area submerged by the flood based on the water level and flow direction of the flood. After determining the affected area, it is necessary to further analyze the population distribution of the area. This can usually be obtained through a variety of means such as demographic data, household registration data, and mobile communication data. Understanding the population distribution helps to determine the key areas and populations that need rescue and epidemic prevention. After a disaster occurs, especially when the disaster causes a large number of casualties or the environment is polluted, epidemic prevention work becomes particularly important. In order to prevent and control the spread of the disease, the affected area needs to be thoroughly disinfected. According to the area and population distribution of the affected area, the disinfection route and area can be planned. The disinfection route usually starts from a disinfection point and covers the entire affected area in a certain order and path. The disinfection area refers to the places that need to be disinfected, such as densely populated areas such as hospitals, schools, and residential areas, as well as garbage disposal sites, water sources, and other places that are prone to breeding bacteria and viruses. After planning the disinfection routes and areas, specific epidemic prevention tasks can be generated. These tasks may include: assigning professional epidemic prevention teams and equipment to designated areas for disinfection. Allocating necessary epidemic prevention materials, such as disinfectants, protective clothing, masks, etc. Setting a schedule for disinfection work to ensure that disinfection tasks are completed within the scheduled time. In addition to disinfection tasks, epidemic prevention tasks may also include disease monitoring, vaccination, health education, etc., to comprehensively improve the epidemic prevention capabilities of the affected areas.

[0050] Among them, the rescue mission is the primary one in the entire emergency task, and its purpose is to rescue the trapped and injured people as soon as possible and provide necessary living supplies and medical assistance. The recovery mission is to repair and rebuild the damaged infrastructure after the rescue mission is completed to restore the normal production and living order. The epidemic prevention mission is to prevent and control the spread of diseases and ensure the safety and health of the affected areas.

[0051] S130: Identify and analyze the emergency tasks to obtain the priorities corresponding to the emergency tasks.

[0052] Specifically, after receiving multiple emergency tasks, the server will conduct a detailed analysis of each task. This analysis process may include but is not limited to: the urgency of the task: for example, whether there are life-threatening casualties in the rescue mission who need immediate treatment; the scope of impact of the task: the size of the disaster-stricken area that can be covered or affected after the task is completed, the number of disaster-stricken people, etc.; the resources required for the task: how much manpower, material resources, time and other resources are needed to complete the task; the correlation between tasks: some tasks may be the premise or follow-up of other tasks and need to be prioritized or deferred. Based on the identification analysis, the server will score or sort each task according to certain algorithms or rules to determine its priority. This process may take into account a variety of factors and may be adjusted according to the specific disaster situation and resource conditions. Tasks with high priority are usually given priority to ensure the maximum rescue effect in the shortest time.

[0053] In a possible implementation, the emergency task is identified and analyzed to obtain the priority corresponding to the emergency task, specifically including: if the emergency task is confirmed to be a rescue task, the priority is determined to be the first priority; if the emergency task is confirmed to be a recovery task, the priority is determined to be the second priority, and the second priority is lower than the first priority; if the emergency task is confirmed to be a disinfection task, the priority is determined to be the third priority, and the third priority is lower than the second priority.

[0054] Specifically, when the server identifies that the emergency task is a rescue task, it will determine its priority as the first priority. This is because rescue tasks usually involve the life safety of people and require immediate action to save lives or reduce injuries. Rescue tasks may include searching and rescuing trapped people, providing emergency medical assistance, and providing basic living supplies to disaster victims. When the server identifies that the emergency task is a recovery task, it will determine its priority as the second priority, which is lower than the priority of the rescue task. The recovery task mainly focuses on the repair and reconstruction of infrastructure in order to restore normal production and living order. The recovery task may include repairing infrastructure such as roads, bridges, electricity, and communications, as well as providing temporary housing, food, water and other necessities of life to the disaster-stricken areas. When the server identifies that the emergency task is a disinfection task, it will determine its priority as the third priority, which is lower than the priority of the recovery task. The disinfection task mainly focuses on preventing and controlling the spread of diseases and ensuring the safety and health of the disaster-stricken areas. The disinfection task may include environmental disinfection in the disaster-stricken areas, handling contaminated water and food, and providing epidemic prevention knowledge propaganda to the disaster victims.

[0055] For example, suppose an earthquake occurs in a certain area, and the server receives the following three emergency tasks: Task A: The rescue team needs to go to a residential area where dozens of trapped people need to be rescued immediately. This is a typical rescue task, and the server will prioritize it as the first priority to ensure that the rescue team can arrive at the scene as soon as possible and launch rescue operations. Task B: Repair the main road leading to the disaster area so that more rescue materials and personnel can enter. This is a recovery task, and the server will prioritize it as the second priority. After the rescue task is properly handled, repairing the road can ensure the smooth progress of subsequent rescue work, and it will also help restore normal order in the disaster area. Task C: Disinfect and prevent the spread of diseases in the affected schools. This is a disinfection task, and the server will prioritize it as the third priority. After the rescue and recovery work has made certain progress, disinfection and epidemic prevention work can ensure the safety and health of the affected area and prevent the spread of diseases. According to the above priority settings, the server will prioritize rescue task A to ensure that the trapped people are rescued in time; then handle recovery task B to repair the road for subsequent rescue and recovery work; and finally handle disinfection task C to ensure the safety and health of the affected area. Such priority setting can maximize the effectiveness of rescue and recovery work when resources are limited.

[0056] S140. Control unmanned equipment to perform emergency tasks according to priority. Unmanned equipment includes shuttle vehicles, sweepers, lawn mowers, and disinfection vehicles.

[0057] Specifically, after the server identifies and analyzes the priorities of the emergency tasks, it will decide which unmanned equipment should be sent to perform which tasks first based on these priorities. Doing so can ensure that the most important tasks can be handled in a timely manner and improve the efficiency of overall rescue and recovery. Shuttle buses are used to transport personnel or materials, especially when roads are damaged or traffic is inconvenient. In emergency tasks, shuttle buses can quickly transport rescue personnel, medical equipment or other emergency materials to where they are needed. Although sweepers are mainly used for daily cleaning work, in emergency tasks, sweepers can also be used to clear obstacles on the road, such as gravel, branches, etc., to ensure that rescue vehicles can pass smoothly. Although the conventional use of lawn mowers is to mow the lawn, in certain emergency situations, such as cleaning the burned area after a fire, lawn mowers can quickly remove combustibles on the ground to reduce the risk of fire re-ignition. Disinfection vehicles are specifically used to disinfect the environment in the disaster area to prevent the spread of disease. Disinfection vehicles are usually equipped with professional disinfection equipment and disinfectants that can effectively kill bacteria and viruses. The server will select appropriate unmanned equipment to perform according to the nature and needs of the emergency task. For example, if it is an urgent medical rescue mission, the server may send a shuttle bus to transport medical equipment and rescue personnel; if it is a recovery mission that requires road clearing, the server may send a sweeper; if it is an epidemic prevention mission that requires disinfection, the server will send a disinfection vehicle.

[0058] Therefore, through automation, the server can quickly obtain the event attributes of the emergency, such as the type of disaster, the scope of impact, and the number of people affected, thereby reducing the time for manual information collection. Once the event attributes are obtained, the server can immediately generate emergency tasks based on this information without waiting for manual analysis or decision-making, and set priorities, which is convenient for improving the efficiency of emergency management of emergencies.

[0059] In one possible implementation, refer to Figure 2 , Figure 2 Another flow chart of an unmanned equipment emergency management method applied to emergencies provided in an embodiment of the present application. The unmanned equipment also includes a patrol car, specifically including steps S210 to S240, the above steps are as follows: S210, receiving image data sent by the patrol car for the event area corresponding to the emergency; S220, performing image analysis on the image data to obtain real-time demand changes and task progress changes in the event area; S230, updating the emergency task according to the implementation demand changes and task progress changes to obtain a dynamic task; S240, controlling the unmanned equipment to perform the dynamic task.

[0060] Specifically, a patrol car is a type of unmanned equipment that has the ability to patrol and capture images autonomously in the event area. When a patrol car patrols the event area of ​​an emergency, it captures and sends real-time image data to the server. The server receives these image data and provides a basis for subsequent image analysis. The server performs in-depth image analysis on the received image data. Image analysis includes identifying the extent of disaster, personnel flow, material requirements, task completion, etc. Based on the results of image analysis, the server can understand the real-time demand changes and task progress changes in the event area. According to the real-time demand changes and task progress changes, the server will update the original emergency tasks. These updates include task priority adjustment, task content modification, and task goal resetting. The updated tasks are called dynamic tasks, which reflect the most urgent needs and actual conditions of the event area. After receiving dynamic tasks, the server will control the corresponding unmanned equipment to perform these tasks. This includes dispatching shuttle buses to deliver additional relief supplies, controlling sweepers to clear newly discovered obstacles, or commanding disinfection vehicles to disinfect newly contaminated areas.

[0061] For example, suppose a landslide occurs in a certain area. Based on the preliminary assessment, the server dispatches unmanned equipment such as patrol cars, shuttle buses, sweepers, and disinfection vehicles. The patrol car patrols the affected area and takes and sends image data to the server in real time. The server analyzes the image data and finds that a new obstacle has appeared near the originally planned relief material delivery point, making it impossible for the shuttle bus to approach. At the same time, the patrol car also photographed a new landslide point. There is a risk of secondary landslide in this area and it needs to be cleaned and reinforced as soon as possible. Based on this information, the server updates the original emergency tasks. First, the rescue material delivery plan is adjusted, and the task of clearing new obstacles is added, and the priority of this task is increased. Second, the task of clearing and reinforcing the new landslide point is added. The server first controls the sweeper to go to the new obstacle location for cleaning to ensure that the shuttle bus can smoothly approach the relief material delivery point. At the same time, the server dispatches other unmanned equipment to the new landslide point for cleaning and reinforcement to prevent the occurrence of secondary disasters.

[0062] The present application also provides an unmanned equipment emergency management device for use in emergencies, referring to Figure 3 , Figure 3A module diagram of an unmanned equipment emergency management device for emergency events provided in an embodiment of the present application. The unmanned equipment emergency management device is a server, and the server includes an acquisition module 31 and a processing module 32, wherein the acquisition module 31 acquires event attributes for the emergency event, and the event attributes include the disaster type, the scope of impact, and the number of affected persons; the processing module 32 generates an emergency task according to the disaster type, the scope of impact, and the number of affected persons; the processing module 32 identifies and analyzes the emergency task to obtain the priority corresponding to the emergency task; the processing module 32 controls the unmanned equipment to perform the emergency task according to the priority, and the unmanned equipment includes a shuttle bus, a sweeper, a lawn mower, and a disinfection vehicle.

[0063] In a possible implementation, the acquisition module 31 acquires event attributes for an emergency event, specifically including: the acquisition module 31 receives an event announcement for an emergency event sent by an emergency management department; the processing module 32 preprocesses the event announcement to obtain event attributes, and the preprocessing includes denoising, filtering, semantic analysis, and normalization.

[0064] In a possible implementation, the processing module 32 generates an emergency task according to the disaster type, the scope of impact and the number of affected persons, specifically including: the processing module 32 determines the location of the affected persons according to the disaster type, the scope of impact and the number of affected persons; the processing module 32 plans a rescue route and rescue stops based on the location of the affected persons; the processing module 32 generates a rescue task according to the rescue route and rescue stops.

[0065] In one possible implementation, the processing module 32 generates an emergency task according to the type of disaster, the scope of impact, and the number of affected people, specifically including: the processing module 32 determines the road damage condition according to the type of disaster, the scope of impact, and the number of affected people; the processing module 32 calculates the clearing route and clearing area based on the road damage condition; the processing module 32 generates a recovery task according to the clearing route and clearing area.

[0066] In one possible implementation, the processing module 32 generates an emergency task according to the type of disaster, the scope of impact and the number of affected persons, specifically including: the processing module 32 determines the area and population distribution of the disaster-stricken region according to the type of disaster, the scope of impact and the number of affected persons; the processing module 32 plans disinfection routes and disinfection areas based on the area and population distribution of the disaster-stricken region; the processing module 32 generates an epidemic prevention task according to the disinfection routes and disinfection areas. Emergency tasks include rescue tasks, recovery tasks and epidemic prevention tasks.

[0067] In a possible implementation, the emergency task is identified and analyzed to obtain the priority corresponding to the emergency task, specifically including: if the processing module 32 confirms that the emergency task is a rescue task, the priority is determined to be the first priority; if the processing module 32 confirms that the emergency task is a recovery task, the priority is determined to be the second priority, which is lower than the first priority; if the processing module 32 confirms that the emergency task is a disinfection task, the priority is determined to be the third priority, which is lower than the second priority.

[0068] In a possible implementation, the unmanned equipment also includes a patrol car, and also includes: an acquisition module 31 receives image data sent by the patrol car for the event area corresponding to the emergency event; a processing module 32 performs image analysis on the image data to obtain real-time demand changes and task progress changes in the event area; the processing module 32 updates the emergency task according to the implementation demand changes and task progress changes to obtain a dynamic task; the processing module 32 controls the unmanned equipment to perform dynamic tasks.

[0069] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0070] The present application also provides an electronic device, referring to Figure 4 , Figure 4 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 .

[0071] The communication bus 42 is used to realize the connection and communication between these components.

[0072] The user interface 43 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 43 may also include a standard wired interface and a wireless interface.

[0073] The network interface 44 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0074] Among them, the processor 41 may include one or more processing cores. The processor 41 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 45, and calling data stored in the memory 45. Optionally, the processor 41 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 41 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 41, and it can be implemented separately through a chip.

[0075] Among them, the memory 45 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 45 includes a non-transitory computer-readable storage medium. The memory 45 can be used to store instructions, programs, codes, 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 a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 45 may also be optionally at least one storage device located away from the aforementioned processor 41. As Figure 4 As shown, the memory 45 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for an unmanned equipment emergency management method for sudden incidents.

[0076] exist Figure 4In the electronic device shown, the user interface 43 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 41 can be used to call an application stored in the memory 45 for an unmanned equipment emergency management method applied to emergencies. When executed by one or more processors, the electronic device executes one or more methods such as those in the above-mentioned embodiments.

[0077] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0078] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0079] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0080] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0081] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0082] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0083] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, 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, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0084] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An unmanned equipment emergency management method applied to emergencies, It is characterized in that The method comprises: Acquire event attributes for the emergency event, wherein the event attributes include disaster type, impact scope, and number of affected persons; Generate an emergency task according to the disaster type, the impact scope and the number of people affected by the disaster; Identify and analyze the emergency task to obtain the priority corresponding to the emergency task; According to the priority, unmanned equipment is controlled to perform the emergency task, and the unmanned equipment includes a shuttle vehicle, a sweeper, a lawn mower and a disinfection vehicle.

2. The unmanned equipment emergency management method for emergency events according to claim 1, It is characterized in that The obtaining of event attributes for the emergency event specifically includes: Receive the event announcement sent by the emergency management department regarding the emergency event; The event announcement is preprocessed to obtain the event attributes, wherein the preprocessing includes denoising, filtering, semantic analysis and normalization.

3. The unmanned equipment emergency management method for emergency events according to claim 1, It is characterized in that Generating an emergency task according to the disaster type, the impact range, and the number of disaster victims specifically includes: Determine the location of the disaster victims according to the disaster type, the affected area and the number of disaster victims; Based on the location of the affected persons, a rescue route and rescue stop points are planned; A rescue mission is generated according to the rescue route and the rescue stop point.

4. The unmanned equipment emergency management method for emergency events according to claim 1, It is characterized in that Generating an emergency task according to the disaster type, the impact range, and the number of disaster victims specifically includes: Determine the road damage status according to the disaster type, the affected area and the number of people affected; Based on the road damage condition, a cleaning route and a cleaning area are calculated; A recovery task is generated according to the cleaning route and the cleaning area.

5. The unmanned equipment emergency management method for emergency events according to claim 1, It is characterized in that Generating an emergency task according to the disaster type, the impact range, and the number of disaster victims specifically includes: Determine the area and population distribution of the disaster-affected region based on the disaster type, the impact scope, and the number of disaster-affected persons; Planning disinfection routes and areas based on the area and population distribution of the disaster-stricken area; An epidemic prevention task is generated according to the disinfection route and the disinfection area, and the emergency task includes the rescue task, the recovery task and the epidemic prevention task.

6. The unmanned equipment emergency management method for emergency events according to claim 5, It is characterized in that The identifying and analyzing the emergency task to obtain the priority corresponding to the emergency task specifically includes: If the emergency task is confirmed to be the rescue task, the priority is determined to be the first priority; If it is confirmed that the emergency task is the recovery task, determining the priority to be a second priority, where the second priority is lower than the first priority; If it is confirmed that the emergency task is the disinfection task, the priority is determined to be the third priority, and the third priority is lower than the second priority.

7. The unmanned equipment emergency management method for emergency events according to claim 1, It is characterized in that The unmanned equipment further includes a patrol vehicle, and the method further includes: Receiving image data sent by the patrol car for the event area corresponding to the emergency; Performing image analysis on the image data to obtain real-time demand changes and task progress changes in the event area; According to the changes in the implementation requirements and the changes in the task progress, the emergency task is updated to obtain a dynamic task; Control the unmanned equipment to perform the dynamic task.

8. An unmanned equipment emergency management device for emergency events, It is characterized in that The unmanned equipment emergency management device comprises an acquisition module (31) and a processing module (32), wherein: The acquisition module (31) is used to acquire event attributes for the emergency event, wherein the event attributes include the type of disaster, the scope of impact, and the number of people affected by the disaster; The processing module (32) is used to generate an emergency task according to the disaster type, the impact range and the number of people affected by the disaster; The processing module (32) is further used to identify and analyze the emergency task to obtain the priority corresponding to the emergency task; The processing module (32) is also used to control unmanned equipment to perform the emergency task according to the priority level, and the unmanned equipment includes a shuttle vehicle, a sweeper, a lawn mower and a disinfection vehicle.

9. An electronic device, It is characterized in that The electronic device comprises a processor (41), a memory (45), a user interface (43) and a network interface (44), wherein 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, and the processor (41) is used to execute the instructions stored in the memory (45) so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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