Unmanned aerial vehicle command vehicle and control method thereof

Abstract

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle command vehicle and a control method thereof.The unmanned aerial vehicle command vehicle comprises a mobile vehicle platform and a command control platform, the mobile vehicle platform carries an unmanned aerial vehicle group, a comprehensive power supply module and a network communication module, and the command control platform is in communication connection with the mobile vehicle platform; comprising a service application layer, a core control layer, a data management layer and a service feedback layer. Multiple types of unmanned aerial vehicles and a comprehensive power supply and multi-mode communication module are integrated through the mobile vehicle platform, an unmanned inspection front end with high maneuverability and sufficient guarantee is constructed, meanwhile, the system has accurate authority management and business model one-key selection functions, the operation threshold is greatly reduced, data acquisition, AI identification and business rule analysis are deeply fused, and the system has a wide application prospect. The whole-process closed-loop management from automatic sensing to intelligent research and judgment to task distribution is realized, and the inspection efficiency, accuracy and safety are remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of unmanned aerial vehicle (UAV) control technology, and specifically relates to an UAV command vehicle and its control method. Background Technology

[0002] In recent years, drone technology has been widely used in fields such as natural resource monitoring, power line inspection, emergency rescue, and land surveys due to its advantages of flexibility, efficiency, and low cost. Drone command vehicles, as an important platform for improving the mobility and overall effectiveness of drone operations, integrate functions such as drone parking, automatic charging, data transmission, and command and control. They represent a new operational mode beyond fixed airports and manual operation, and have attracted widespread attention from the industry.

[0003] However, existing drone command vehicles and related inspection solutions still have many limitations and fail to fully realize their potential for mobile deployment, mainly in the following aspects: 1) Low integration and insufficient field operation support capabilities: Some existing drone command vehicle solutions simply mount drones on vehicles, failing to address the core pain points of field operations, namely continuous power supply and stable communication connections. This makes it impossible to achieve reliable data transmission and real-time control in remote areas or disaster sites where public network signals are not available. As a result, the so-called "mobile platform" is still constrained by basic support conditions in practical applications, and its rapid response capability is greatly reduced.

[0004] 2) Limited functionality and severe disconnect from business applications: Most existing command vehicle systems are positioned as mobile base stations for unmanned aerial vehicles (UAVs). Their core functions are limited to the automatic collection and transmission of data. The massive amounts of data collected need to be manually exported and then analyzed and processed by professionals using other software to transform them into valuable business information. This disconnect between "collection" and "application" leads to long response cycles and low efficiency, failing to meet the rapid response requirements of modern social governance for "early detection and early handling" of illegal activities and potential risks.

[0005] 3) Complex operation and high professional threshold: The control software of existing systems is mostly designed for drone professionals, requiring users to have in-depth understanding of complex technical details such as flight parameter planning and equipment status monitoring. For business personnel in fields such as land, forestry, and environmental protection, the operation threshold is too high. They are more concerned with business issues such as "checking whether farmland has been occupied" and "monitoring whether there is a forest fire," rather than how to operate drones. This greatly limits the popularization and application of drone command vehicle technology in real front-line business departments.

[0006] 4) Lack of intelligent business closed loop: Existing command vehicles possess basic data analysis capabilities, but these are typically limited to simple target identification and cannot be deeply integrated with industry business rules (such as land use planning and basic farmland red lines) for automatic comparison and analysis. From problem discovery to report generation and task assignment, the entire process heavily relies on manual judgment and operation, which is not only prone to errors but also time-consuming and labor-intensive. It fails to form an automated business closed loop of "discovery-analysis-decision-response," making it difficult to achieve refined and intelligent management of a vast area.

[0007] Therefore, this invention aims to address one or more of the aforementioned technical deficiencies by providing a highly integrated, intelligent, efficient, business-driven, and easy-to-operate unmanned aerial vehicle (UAV) command vehicle and its control method. Specifically, the technical problem this invention addresses is how to construct a mobile UAV inspection solution integrating mobile deployment, cluster control, intelligent analysis, and business closed-loop processes, thereby significantly improving operational support capabilities, rapid response capabilities, intelligent analysis levels, and automated management efficiency in complex field environments. Summary of the Invention

[0008] In response to the aforementioned technical problems, this invention provides an unmanned aerial vehicle (UAV) command vehicle and its control method, which will effectively improve the above-mentioned problems.

[0009] To achieve the above objectives, this invention provides the following technical solution: First, a drone command vehicle is provided, comprising: The mobile vehicle platform is equipped with a fleet of unmanned aerial vehicles, an integrated power supply module, and a network communication module. The command and control platform communicates with the mobile vehicle platform and includes a business application layer, a core control layer, a data management layer, and a business feedback layer. The business application layer is used to receive user instructions, generate task instructions based on user instructions, and display inspection results; The core control layer is communicatively connected to the drone swarm. The data management layer is communicatively connected to the core control layer and receives the collected data transmitted back by the drone swarm. The business feedback layer is used for the result feedback of UAV operation tasks.

[0010] Preferably, the core control layer includes a cluster control module, which is used to realize the grouping, status monitoring and task relay of UAVs, including a grouping unit, a status monitoring unit and a task scheduling unit. The grouping unit is used to group drone swarms; The status monitoring unit monitors and caches the status information of each UAV in the group in real time, and promptly feeds back the status information to the task scheduling unit. The task scheduling unit is used to receive task instructions and UAV status information, and to schedule the UAVs in the group to perform tasks based on task relay logic.

[0011] Preferably, the data management layer is communicatively connected to the business application layer, including a data processing platform. The data processing platform has a built-in intelligent recognition algorithm, which performs target recognition on the collected image or video data and transmits the recognition results to the business application layer.

[0012] Preferably, the business application layer includes a business management module, a single map construction module, a real-time data fusion module, and a business analysis module; The business management module includes a user information management unit and a business model selection unit. The user information management unit is used to receive and store user permission information and jurisdiction information. The business model selection unit supports users in selecting business types and issuing user instructions. The business types include illegal mining, forest fire prevention, farmland protection, cemetery management, geological disaster monitoring, and village appearance monitoring.

[0013] Preferably, the map construction module automatically filters geographic data within the user's permission range based on user permission information and jurisdiction information, generates a map platform interface exclusive to the user, and overlays the collected image data information to generate a main map interface. The real-time data fusion module is used to overlay the collected real-time video stream data with a single-image main interface to generate a single-image real-time interface.

[0014] Preferably, the business analysis module includes a pre-set business analysis model, which performs thematic analysis on the overlaid data, compares and analyzes the identification results with pre-stored geographic information data and business data to determine whether a violation has occurred, and transmits the analysis results to the business feedback layer.

[0015] Preferably, the business feedback layer includes a report generation module and a task creation module. The report generation module generates an inspection operation report or an alarm work order based on the analysis results. If an alarm work order is generated, the task creation module is triggered. The task creation module creates a new work order task based on the alarm work order and pushes it to the corresponding user.

[0016] Secondly, a control method for an unmanned aerial vehicle (UAV) command vehicle is provided, including the aforementioned UAV command vehicle, and further including the following control steps: The system receives user instructions through the business application layer and generates task instructions based on those instructions. The core control layer receives mission instructions and performs cluster control on the drone swarm to execute data acquisition tasks. The data management layer receives the collected data transmitted back by the drone swarm, performs intelligent identification on the collected data, and transmits the identification results to the business application layer. The inspection results of the drone fleet are displayed through the business application layer, and the inspection results are analyzed. The analysis results are fed back through the business feedback layer to generate inspection operation reports or create new work orders.

[0017] Preferably, the cluster control further includes the following steps: Multiple drones belonging to the same mobile vehicle platform are grouped into an operational cluster; The system receives and caches status information reported by each UAV in the cluster in real time. The status information includes at least the working mode, battery level, latitude and longitude coordinates, and altitude. Monitor the operating mode of the first drone in a drone swarm; When the first drone's operating mode is detected to change to automatic return, its current first latitude and longitude coordinates and first altitude are recorded; Continue monitoring the operating mode of the first drone; When the first drone's operating mode is detected to change to automatic landing, a flight command is sent to the second drone in the cluster. The flight command is used to control the second UAV in the cluster to fly to the recorded first latitude and longitude coordinates and first altitude.

[0018] Preferably, the cluster control is based on task relay logic to achieve task relay between UAVs.

[0019] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention integrates multiple types of drones, a comprehensive power supply module, and a network communication module into a mobile vehicle platform, forming a mobile "unmanned inspection forward command post." It meets various power and network needs for field operations, can quickly reach any work area accessible by vehicles, and immediately begin operations. This completely breaks the geographical limitations of fixed deployment and greatly enhances the ability to quickly respond to inspections in remote areas and emergencies.

[0020] 2. By creating a business management module, this invention can automatically filter and load only data within the user's authorized scope based on user permissions and jurisdiction information, effectively preventing unauthorized access to sensitive data and enhancing data security and privacy protection capabilities. At the same time, users can select different business types and automatically match the business needs under that business type, so that data collection and analysis are directly centered around business needs, greatly improving the targeting and accuracy of inspections and avoiding the collection of useless data.

[0021] 3. This invention encapsulates complex flight planning, data acquisition, and analysis tasks into a simple "one-click" operation through a business model selection unit, enabling non-professional users to perform professional inspection tasks. At the same time, by using drones to replace manual labor in dangerous areas (such as high-voltage lines, mines, and fire sites), it fundamentally eliminates personnel safety risks and realizes unmanned and intelligent operations.

[0022] 4. This invention can not only automatically collect data, but also, through the collaborative operation of the business application layer and the business feedback layer, deeply analyze the raw collected data with geographic information and business rules, automatically identify violations and generate structured inspection reports or alarm work orders, and automatically dispatch them to the relevant responsible persons for handling. This greatly shortens the cycle from problem discovery to problem handling, reducing the traditional process of several days or even weeks to minutes, and realizing refined management.

[0023] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of the overall architecture of the unmanned aerial vehicle command vehicle provided by the present invention; Figure 2 This is a schematic diagram of the core control layer and data management layer architecture provided by the present invention; Figure 3 This is a schematic diagram of the business application layer architecture provided by the present invention; Figure 4 This is a schematic diagram of the business feedback layer architecture provided by the present invention; Figure 5 This is a schematic diagram of the control process of the unmanned aerial vehicle command vehicle provided by the present invention; Figure 6 This is a schematic diagram of the drone swarm control process provided by the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] The same reference numerals in the accompanying drawings denote the same or similar elements, components, or parts, and therefore, repeated descriptions of the same or similar elements, components, or parts may be omitted below. It should also be understood that although terms such as first, second, third, etc., indicating numbers may be used herein to describe various devices, elements, components, or parts, these devices, elements, components, or parts should not be limited by these terms. That is, these terms are only used to distinguish one from another. For example, a first device may also be referred to as a second device, without departing from the essential technical solution of the invention. Furthermore, the terms "and / or" and "and / or" refer to all combinations including any one or more of the listed items.

[0028] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0029] This invention provides a drone command vehicle: like Figure 1 As shown, the drone command vehicle includes a mobile vehicle platform and a command and control platform. The mobile vehicle platform is equipped with a drone swarm, an integrated power supply module, and a network communication module. The command and control platform is connected to the mobile vehicle platform and includes a business application layer, a core control layer, a data management layer, and a business feedback layer. Furthermore, the mobile vehicle platform can be various types of mobile vehicles, such as pickup trucks and off-road vehicles. By mounting various types of drones on the vehicle, such as drone airports, handheld drones, and transport drones, and equipping them with integrated power supply modules and network communication modules, vehicle-mounted deployment can be achieved. Specifically, the integrated power supply module has a built-in battery pack and intelligent distribution motor to power vehicle-mounted equipment and drone swarms, and supports multiple methods including vehicle charging, solar charging, mains power access and generator charging. The power output can meet the DC / AC power needs of different power terminals and meet various power supply scenarios for field patrol operations. Specifically, the network communication module integrates multiple network modules including 4G / 5G, WIFI, MESH self-organizing network and satellite communication to provide communication connectivity and meet the information transmission needs of multiple terminals and multiple scenarios; the command and control platform is used for cluster control of UAV swarms and can realize multiple functions such as autonomous flight of multiple terminals, remote control, image data analysis and distribution applications.

[0030] like Figure 3 As shown, the business application layer is used to receive user instructions, generate task instructions based on user instructions, and display inspection results. The business application layer includes a business management module, which includes a user information management unit and a business model selection unit. Furthermore, the user information management unit is used to receive and store user permission information and jurisdiction information, and the business model selection unit supports users to select business types and issue user instructions. Business types include illegal mining, forest fire prevention, farmland protection, cemetery management, geological disaster monitoring, and village appearance monitoring. Specifically, the user information management unit acts as the security gateway for the drone command vehicle, verifying user identity and controlling the data and functional scope they can access. It automatically filters irrelevant data through permissions, reducing the amount of data transmitted and loaded over the network, while preventing unauthorized access to sensitive data and enhancing data security. Specifically, the business model selection unit offers a variety of business types for users to choose from. Based on the scenario of the business type selected by the user, a full set of task instructions for the relevant business scenario can be automatically configured. Users can choose different task instructions, enabling non-professional users to complete complex professional inspection tasks, greatly expanding the applicable population.

[0031] like Figure 2 As shown, the core control layer includes a cluster control module, which includes a grouping unit, a status monitoring unit, and a task scheduling unit. The core control layer communicates with the business application layer and the UAV swarm, receives task instructions issued by the business application layer, and controls the UAV swarm through its internal cluster control module to realize the functions of UAV grouping, status monitoring, and task relay. Furthermore, the grouping unit is used to group the drone swarm, the status monitoring unit monitors and caches the status information of each drone in the group in real time, and feeds back the status information to the task scheduling unit in a timely manner. The task scheduling unit is used to receive task instructions and drone status information, and schedule the drones in the group to perform tasks based on task relay logic. Specifically, the cluster control module can logically bind two or more drones as a collaborative work unit, and use a Redis cache queue as a high-speed data middleware to store and read massive amounts of status information reported by drones in real time. The communication connection between drones and ground mobile vehicles adopts the MQTT protocol (MessageQueueTelemetryTransport) to achieve low-latency and high-efficiency communication between drones and the ground command and control platform, ensuring that drone status information is reported in real time. Specifically, the drone's status information includes at least the current operating mode, battery level, flight coordinates, and altitude. When the status monitoring unit detects that the drone in the group has changed its operating status to automatic return, it records the current drone's latitude, longitude, altitude, and timestamp. It continues to monitor the status of the returning drone. When it changes to automatic landing, it sends the last latitude, longitude, and altitude command of the returning drone to another drone through flight commands, realizing the logic of the two drones taking turns to perform the task. This operation is repeated cyclically to realize the control logic of dual-drone cluster group rotation operation, thereby realizing data collection for various business scenarios and forming video, photos, orthophotos, and panoramic images.

[0032] Furthermore, the data management layer includes a data processing platform that receives the collected data transmitted back by the drone swarm. It is equipped with intelligent recognition algorithms that, in response to the data needs of different usage scenarios, combine AI target recognition algorithms to identify open flame smoke points, vehicle traffic, pedestrian traffic, damaged parts, etc., based on the collected image or video stream data, and transmit the recognition results to the business application layer.

[0033] like Figure 3 As shown, the business application layer also includes a map construction module, a real-time data fusion module, and a business analysis module. The map construction module automatically filters geographic data within the user's permission range based on user permission information and jurisdiction information, generates a user-exclusive map platform interface, and overlays the collected image data information to generate the main map interface. The real-time data fusion module is used to overlay the collected real-time video stream data information with the main map interface to generate the real-time map interface. Specifically, the OneMap construction module automatically filters the data corresponding to the user's jurisdiction from massive geographic information data based on the user's jurisdiction information, and generates a oneMap platform interface exclusive to the user. When the image data collected by the drone is sent back to the OneMap construction module, the image is integrated with the OneMap platform interface for overlay display to generate the main OneMap interface. When the real-time video stream data collected by the drone is sent back, the video points of the push stream are overlaid with the main OneMap interface through the spatial registration algorithm to generate the real-time OneMap interface, thus realizing data docking. Furthermore, the business analysis module includes a pre-built business analysis model. The business analysis model performs thematic analysis on the overlaid data and compares the identification results with the pre-stored geographic information data and business data to determine whether a violation has occurred. Specifically, the business analysis module automatically calls the corresponding business analysis model (such as the "illegal occupation of farmland analysis model") based on the current business type (such as "farmland protection inspection") to analyze and compare specific business scenarios. It overlays the results of the intelligent recognition algorithm with a real-time map interface. Through GIS (Geographic Information Systems) spatial analysis technology, image difference technology, and time series analysis technology, it overlays and analyzes data from different sources and periods under the same spatial reference system. It compares the differences according to business rules to find changes or violations, and transmits the analysis results to the business feedback layer.

[0034] like Figure 4 As shown, the business feedback layer is used for the result feedback of UAV operation tasks, including a report generation module and a task creation module. The report generation module generates inspection operation reports or alarm work orders based on the analysis results. If an alarm work order is generated, the task creation module is triggered. The task creation module creates a new work order task based on the alarm work order and pushes it to the corresponding user. Specifically, the report generation module in the business feedback layer receives the inspection analysis results transmitted by the business analysis module. If there are no violations, it automatically generates an inspection operation report based on the analysis results. If violations occur, it automatically generates an alarm work order based on the analysis results. At the same time, it triggers the task creation module, which reads the detailed information of the alarm work order and automatically creates a new processing work order (such as "Please go to location X to verify illegal land occupation"), and automatically dispatches it to the preset responsible personnel in the jurisdiction through system messages, SMS, mini-program push, etc.

[0035] It should be noted that, in addition to the inspection operation report, the business feedback layer can also provide an overview and reminder record of the distribution, quantity, and completion status of alarm information, clues of violations and irregularities, illegal cases, and matters under supervision based on each operation. It can also provide statistics and filtering by administrative region, time, case type, completed, in progress, and uncompleted, and visualize the data through various charts such as tables, line graphs, pie charts, and bar charts on the terminal device.

[0036] In addition, such as Figure 5 As shown, the present invention also provides a control method for an unmanned aerial vehicle (UAV) command vehicle, including the aforementioned UAV command vehicle, and further including the following control steps: The system receives user instructions through the business application layer and generates task instructions based on those instructions. The core control layer receives mission instructions and performs cluster control on the drone swarm to execute data acquisition tasks. The data management layer receives the collected data transmitted back by the drone swarm, performs intelligent identification on the collected data, and transmits the identification results to the business application layer. The inspection results of the drone fleet are displayed through the business application layer, and the inspection results are analyzed. The analysis results are fed back through the business feedback layer to generate inspection operation reports or create new work orders.

[0037] It should be noted that this invention, through vehicle-mounted mobile deployment, enables the drone command vehicle to have the capability of "stopping and using immediately, and being summoned at a moment's notice." Compared with fixed-deployment drone airports, it can quickly reach the scene of emergencies (such as geological disaster sites, emergency rescue sites, and illegal mining sites) and immediately begin operations. This solves the core pain points of slow response and limited coverage in traditional methods, and realizes full-process automation from the issuance of user instructions to the generation of the final inspection operation report / work order. This greatly reduces the human intervention links. On the one hand, it reduces the requirements for operators' drone operation skills and data analysis background. On the other hand, by replacing human labor to work in dangerous or hard-to-reach areas (such as high-voltage lines, mines, and fire sites) with drones, it fundamentally eliminates the safety risks to personnel.

[0038] like Figure 6 As shown, cluster control also includes the following steps: Multiple drones belonging to the same mobile vehicle platform are grouped into an operational cluster; Receive and cache status information reported by each drone in the cluster in real time. The status information includes at least the working mode, battery level, latitude and longitude coordinates and altitude. Monitor the operating mode of the first drone in a drone swarm; When the first drone's operating mode is detected to change to automatic return, its current first latitude and longitude coordinates and first altitude are recorded; Continue monitoring the operating mode of the first drone; When the first drone's operating mode is detected to change to automatic landing, a flight command is sent to the second drone in the cluster. Flight commands are used to control the second UAV in the cluster to fly to the first recorded latitude and longitude coordinates and the first altitude.

[0039] It should be noted that the cluster control is based on task relay logic to achieve task relay between drones. By recording precise coordinates and instructing them to fly to that point, it ensures that the task can be seamlessly continued at the interruption point, rather than simply repeating or covering a large area. This ensures the continuity and integrity of data collection, enables uninterrupted operation with ultra-long endurance, and greatly improves inspection efficiency.

[0040] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A drone command vehicle, characterized in that, include: The mobile vehicle platform is equipped with a fleet of unmanned aerial vehicles, an integrated power supply module, and a network communication module. The command and control platform communicates with the mobile vehicle platform and includes a business application layer, a core control layer, a data management layer, and a business feedback layer. The business application layer is used to receive user instructions, generate task instructions based on user instructions, and display inspection results; The core control layer is communicatively connected to the drone swarm. The data management layer is communicatively connected to the core control layer and receives the collected data transmitted back by the drone swarm. The business feedback layer is used for the result feedback of UAV operation tasks.

2. The unmanned aerial vehicle command vehicle according to claim 1, characterized in that: The core control layer includes a cluster control module, which is used to realize the grouping, status monitoring and task relay of UAVs, including a grouping unit, a status monitoring unit and a task scheduling unit. The grouping unit is used to group drone swarms; The status monitoring unit is used to monitor and cache the status information of each UAV in the group in real time, and to promptly feed the status information back to the task scheduling unit. The task scheduling unit is used to receive task instructions and UAV status information, and to schedule the UAVs in the group to perform tasks based on task relay logic.

3. The unmanned aerial vehicle command vehicle according to claim 1, characterized in that: The data management layer is connected to the business application layer and includes a data processing platform. The data processing platform has a built-in intelligent recognition algorithm. The intelligent recognition algorithm performs target recognition on the collected image or video data and transmits the recognition results to the business application layer.

4. The unmanned aerial vehicle command vehicle according to claim 1, characterized in that: The business application layer includes a business management module, a single map construction module, a real-time data fusion module, and a business analysis module. The business management module includes a user information management unit and a business model selection unit. The user information management unit is used to receive and store user permission information and jurisdiction information. The business model selection unit supports users in selecting business types and issuing user instructions. The business types include illegal mining, forest fire prevention, farmland protection, cemetery management, geological disaster monitoring, and village appearance monitoring.

5. The unmanned aerial vehicle command vehicle according to claim 4, characterized in that: The map construction module automatically filters geographic data within the user's permission range based on user permission information and jurisdiction information, generates a map platform interface exclusive to the user, and overlays the collected image data information to generate the main map interface. The real-time data fusion module is used to overlay the collected real-time video stream data with a single-image main interface to generate a single-image real-time interface.

6. The unmanned aerial vehicle command vehicle according to claim 4, characterized in that: The business analysis module includes a business analysis model, which performs thematic analysis on the overlaid data, compares and analyzes the identification results with pre-stored geographic information data and business data to determine whether a violation has occurred, and transmits the analysis results to the business feedback layer.

7. The unmanned aerial vehicle command vehicle according to claim 1, characterized in that: The business feedback layer includes a report generation module and a task creation module. The report generation module generates inspection operation reports or alarm work orders based on the analysis results. If an alarm work order is generated, the task creation module is triggered. The task creation module creates a new work order task based on the alarm work order and pushes it to the corresponding user.

8. A method for controlling an unmanned aerial vehicle (UAV) command vehicle, comprising the UAV command vehicle as described in any one of claims 1-7, characterized in that: It also includes the following control steps: The system receives user instructions through the business application layer and generates task instructions based on those instructions. The core control layer receives mission instructions and performs cluster control on the drone swarm to execute data acquisition tasks. The data management layer receives the collected data transmitted back by the drone swarm, performs intelligent identification on the collected data, and transmits the identification results to the business application layer. The inspection results of the drone fleet are displayed through the business application layer, and the inspection results are analyzed. The analysis results are fed back through the business feedback layer to generate inspection operation reports or create new work orders.

9. A method for controlling an unmanned aerial vehicle command vehicle according to claim 8, characterized in that: The cluster control also includes the following steps: Multiple drones belonging to the same mobile vehicle platform are grouped into an operational cluster; The system receives and caches status information reported by each UAV in the cluster in real time. The status information includes at least the working mode, battery level, latitude and longitude coordinates, and altitude. Monitor the operating mode of the first drone in a drone swarm; When the first drone's operating mode is detected to change to automatic return, its current first latitude and longitude coordinates and first altitude are recorded; Continue monitoring the operating mode of the first drone; When the first drone's operating mode is detected to change to automatic landing, a flight command is sent to the second drone in the cluster. The flight command is used to control the second UAV in the cluster to fly to the recorded first latitude and longitude coordinates and first altitude.

10. A method for controlling an unmanned aerial vehicle command vehicle according to claim 9, characterized in that: The cluster control is based on task relay logic to enable task relay between drones.

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