Unmanned aerial vehicle production line control method, system, equipment and medium

Abstract

The invention relates to an unmanned aerial vehicle production line control method, system and device and a medium, and is applied to the technical field of unmanned aerial vehicle production, and the method comprises the steps: obtaining production line information of a target unmanned aerial vehicle production line, a corresponding unmanned aerial vehicle model and an unmanned aerial vehicle production flow; determining a process monitoring node of the unmanned aerial vehicle based on the production line information and the unmanned aerial vehicle production process; generating a production line monitoring scheme based on the unmanned aerial vehicle model, the unmanned aerial vehicle production process and the process monitoring node; acquiring an installation standard corresponding to the unmanned aerial vehicle model; generating an unmanned aerial vehicle production line control scheme based on the installation standard and the production line monitoring scheme; and controlling the target unmanned aerial vehicle production line based on the unmanned aerial vehicle production line control scheme. The unmanned aerial vehicle production line control system has the effect of efficiently controlling the unmanned aerial vehicle production line with low cost.

Description

Technical Field

[0001] This application relates to the technical field of drone production, and in particular to a drone production line control method, system, equipment and medium. Background Technology

[0002] In modern industrial manufacturing, especially in the assembly and production of precision equipment such as drones, the level of automation and informatization of the production line directly affects product quality, production efficiency, and traceability. Currently, the industry generally adopts a semi-automatic production model of "manual labor plus mechanical assistance." Under this model, although some processes may be completed with the help of power tools, core assembly processes, workflows, and quality judgment still heavily rely on manual operation.

[0003] This semi-automatic mode suffers from problems such as lack of process control, difficulties in data recording and traceability, and a lack of foundation for process analysis and optimization. To address these issues, some high-end production lines have introduced Manufacturing Execution Systems (MES). However, the application of MES systems also faces serious challenges such as high costs and low cost-effectiveness.

[0004] The above problems are particularly prominent in the assembly of precision products such as drones. Therefore, there is an urgent need for a high-efficiency and low-cost drone production line control technology. Summary of the Invention

[0005] In order to control the drone production line efficiently and at low cost, this application provides a drone production line control method, system, equipment and medium.

[0006] Firstly, this application provides a method for controlling a drone production line, employing the following technical solution:

[0007] A method for controlling a drone production line, comprising:

[0008] Obtain production line information, corresponding drone models, and drone production processes for the target drone production line;

[0009] Based on the production line information and the drone production process, determine the process monitoring nodes for the drone;

[0010] A production line monitoring scheme is generated based on the aforementioned drone model, drone production process, and process monitoring nodes.

[0011] Obtain the installation standard corresponding to the drone model;

[0012] A drone production line control scheme is generated based on the installation standards and the production line monitoring scheme.

[0013] The target drone production line is controlled based on the aforementioned drone production line control scheme.

[0014] By adopting the above technical solution, process monitoring nodes are constructed based on actual production line information, drone models, and corresponding drone production processes. The work nodes that need to be monitored are determined to facilitate monitoring. Then, a production line monitoring scheme is constructed based on the process monitoring nodes. Installation standards are added to the production line monitoring scheme to obtain the final drone production line control scheme. The drone production line is controlled through the production line control scheme. The entire control process does not require manual intervention, processes data according to standards, and monitors and records the entire process, thereby controlling the drone production line efficiently and at low cost.

[0015] Optionally, determining the process monitoring nodes for the drone based on the production line information and the drone production process includes:

[0016] The key processes of the drone production process are extracted to determine the key monitoring processes and ordinary monitoring processes.

[0017] Based on the production line information, the production process and the work content of each process are determined;

[0018] Based on the work content of the aforementioned stages, the key monitoring processes of the production stages are matched to determine the key monitoring nodes.

[0019] Based on the work content of the aforementioned stages, the production stages of the general monitoring process are matched to determine the general monitoring nodes.

[0020] The key monitoring nodes and the ordinary monitoring nodes are reorganized according to the UAV production process to generate process monitoring nodes.

[0021] Optionally, the step of generating a production line monitoring scheme based on the drone model, drone production process, and process monitoring nodes includes:

[0022] The normal operating time at the process monitoring node is determined based on the drone production model.

[0023] The normal working time is mapped to the drone production process to generate a mapping result;

[0024] Obtain timeout alarm scheme;

[0025] A production line monitoring scheme is generated based on the drone model, the normal operating time, the binding result, and the timeout alarm scheme.

[0026] Optionally, generating the UAV production line control scheme based on the installation standards and the production line monitoring scheme includes:

[0027] The installation operation method and operating parameters are determined based on the aforementioned installation standards;

[0028] The installation operation method and the operation parameters are bound together to generate operation control data;

[0029] The operation control data is mapped to the production line monitoring scheme to generate a drone production line control scheme.

[0030] Optionally, controlling the target drone production line based on the drone production line control scheme includes:

[0031] In response to the production start operation, the drone production line control scheme is sent to the control terminal of the target drone production line;

[0032] Obtain current production information;

[0033] The current production information is mapped to the process monitoring nodes in the UAV production line control scheme to determine the current working node;

[0034] The target drone production line is controlled based on the current working node and the drone production line control scheme.

[0035] Optionally, after controlling the target drone production line based on the drone production line control scheme, the method further includes:

[0036] Acquire real-time monitoring images and operational data;

[0037] The real-time monitoring images and operation data are displayed in real time on a preset display page.

[0038] Optionally, after controlling the target drone production line based on the drone production line control scheme, the method further includes:

[0039] In response to the control termination command, all real-time monitoring images and the operation data are processed to generate control results;

[0040] The control results are analyzed and a control score is generated.

[0041] The control results whose control scores are greater than or equal to a preset threshold are stored in a preset backup scheme library.

[0042] Secondly, this application provides a UAV production line control system, which adopts the following technical solution:

[0043] A drone production line control system includes:

[0044] The production information acquisition module is used to acquire production line information, corresponding drone models, and drone production processes for the target drone production line.

[0045] The monitoring node determination module is used to determine the process monitoring nodes of the UAV based on the production line information and the UAV production process.

[0046] The monitoring scheme generation module is used to generate a production line monitoring scheme based on the drone model, drone production process, and process monitoring nodes.

[0047] The installation standard acquisition module is used to acquire the installation standard corresponding to the drone model.

[0048] A control scheme generation module is used to generate a drone production line control scheme based on the installation standards and the production line monitoring scheme.

[0049] The solution production control module is used to control the target drone production line based on the drone production line control solution.

[0050] By adopting the above technical solution, process monitoring nodes are constructed based on actual production line information, drone models, and corresponding drone production processes. The work nodes that need to be monitored are determined to facilitate monitoring. Then, a production line monitoring scheme is constructed based on the process monitoring nodes. Installation standards are added to the production line monitoring scheme to obtain the final drone production line control scheme. The drone production line is controlled through the production line control scheme. The entire control process does not require manual intervention, processes data according to standards, and monitors and records the entire process, thereby controlling the drone production line efficiently and at low cost.

[0051] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0052] An electronic device includes a processor coupled to a memory;

[0053] The processor is configured to execute a computer program stored in the memory, such that the electronic device executes the computer program of the unmanned aerial vehicle production line control method according to any one of the first aspects.

[0054] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0055] A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the unmanned aerial vehicle production line control method according to any one of the first aspects.

[0056] In summary, this application includes at least one of the following beneficial technical effects:

[0057] Based on the actual production line information, drone models, and corresponding drone production processes, process monitoring nodes are constructed to determine the work nodes that need to be monitored. Then, a production line monitoring scheme is built based on the process monitoring nodes. Installation standards are added to the production line monitoring scheme to obtain the final drone production line control scheme. The drone production line is controlled through the production line control scheme. The entire control process does not require manual intervention, processes data according to standards, and monitors and records the entire process, thereby controlling the drone production line efficiently and at low cost. Attached Figure Description

[0058] Figure 1 This is a flowchart illustrating a drone production line control method provided in an embodiment of this application.

[0059] Figure 2 This is a structural block diagram of a drone production line control system provided in an embodiment of this application.

[0060] Figure 3 This is a structural block diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0061] The present application is further described in detail below with reference to the accompanying drawings.

[0062] This application provides a method for controlling a drone production line. This method can be executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, desktop computer, etc., but is not limited to these.

[0063] Figure 1 This is a flowchart illustrating a drone production line control method provided in an embodiment of this application.

[0064] like Figure 1 As shown, the main process of this method is described below (steps S101 to S106):

[0065] Step S101: Obtain the production line information of the target drone production line, the corresponding drone model, and the drone production process.

[0066] In this embodiment, the production line information includes the production line length, the work content of each position, and the number of drones processed at each position at one time. The drone growth process is the assembly sequence of each part of the drone during the assembly process.

[0067] Step S102: Determine the process monitoring nodes for the drone based on the production line information and the drone production process.

[0068] For step S102, key processes are extracted from the UAV production process to determine key monitoring processes and ordinary monitoring processes; production links and their work content are determined based on production line information; key monitoring process links are matched with their work content to determine key monitoring nodes; ordinary monitoring process links are matched with their work content to determine ordinary monitoring nodes; key monitoring nodes and ordinary monitoring nodes are reorganized according to the UAV production process to generate process monitoring nodes.

[0069] In this embodiment, during the drone assembly process, some steps involve installing two parts with screws, while others simply involve placing the parts to be used in the next step into their corresponding positions. These parts are pre-stored and only require a robotic arm to retrieve them from their storage locations onto the production line. Therefore, processes requiring complex handling, such as installation, are classified as key monitoring processes, while processes requiring simple handling, such as picking and placing, are classified as ordinary monitoring processes. After determining the key and ordinary monitoring processes, production line information is extracted to identify the production stages and their corresponding tasks. These stages are then matched with the corresponding monitoring processes, identifying which production stage and task corresponds to the key monitoring process. This matching combination is then designated as a key monitoring node. Similarly, it is necessary to determine which production stage and task corresponds to the ordinary monitoring process, designating this matching combination as an ordinary monitoring node. After all these classifications are completed, the results are arranged according to the sequence of the drone production process to obtain the process monitoring nodes.

[0070] Step S103: Generate a production line monitoring solution based on the drone model, drone production process, and process monitoring nodes.

[0071] For step S103, determine the normal working time under the process monitoring node based on the drone production model; bind the normal working time to the drone production process to generate a binding result; obtain the timeout alarm scheme; and generate a production line monitoring scheme based on the drone model, normal working time, binding result, and timeout alarm scheme.

[0072] In this embodiment, different monitoring nodes correspond to different working durations, which can be an upper limit or a time interval. This working duration is taken as the normal working duration. If the normal working duration is exceeded, there may be a problem with the production line or the part itself, making it impossible to proceed to the next step. If the normal working duration is less than the normal working duration, there may be a missing link, that is, the corresponding working node has not been executed. Based on the actual working situation, the above two situations are summarized, and a corresponding timeout alarm scheme is formulated. The set normal working duration is bound to the drone production process to obtain the binding result. Then, the drone model, normal working duration, binding result and timeout alarm scheme are mapped and bound to obtain the production line monitoring scheme.

[0073] Step S104: Obtain the installation standard corresponding to the drone model.

[0074] In this embodiment, the installation standard is the torque and corresponding screw tightening degree used during installation. During the installation operation, the robot moves above the screw to be tightened, the electric screwdriver is started, the robot moves downward, and after the electric screwdriver tightens the screw, it sends a completion signal. The host computer monitors the tightening process and the tightening result and generates an installation report. The electric screwdriver is an intelligent electric screwdriver, which can be determined by the current magnitude of the torque sensor. The host computer can monitor the dataset in real time through the TCP communication protocol. The upper and lower limits of torque are set according to the national standard GB3098.13, which specifies the minimum breaking torque of screws of grades 8.8, 9.8, 10.9 and 12.9. The calculation formula is: Torque = Tensile strength × Strength ratio × Section torsional modulus. Before tightening the screws, the position needs to be calibrated by taking pictures with the camera. That is, the camera and the robot use the 12-point calibration method to unify the coordinate system. After taking the picture, the center point of the screw is found according to the shape of the screw. The offset coordinates between the position of the screw center point in the picture and the position of the robot are calculated based on the real-time coordinates fed back by the robot. The deviation is sent to the robot through communication commands to complete the offset compensation, thereby determining the accurate position of the screw.

[0075] Step S105: Generate a drone production line control scheme based on installation standards and production line monitoring scheme.

[0076] For step S105, the installation operation method and operation parameters are determined based on the installation standards; the installation operation method and operation parameters are bound together to generate operation control data; the operation control data is mapped to the production line monitoring scheme to generate the UAV production line control scheme.

[0077] In this embodiment, based on the installation standards mentioned above, the installation operation methods and corresponding operation parameters required at different process monitoring nodes are determined. After the determination, the obtained installation operation methods and operation parameters are bound together to obtain operation control data. That is, during the operation, the installation operation needs to be performed according to the corresponding data. Then, the operation control data is mapped one by one to the corresponding production line control scheme to obtain the UAV production line control scheme.

[0078] Step S106: Control the target drone production line based on the drone production line control scheme.

[0079] In step S106, in response to the production start operation, the drone production line control scheme is sent to the control terminal of the target drone production line; the current production information is obtained; the current production information is matched with the process monitoring nodes in the drone production line control scheme to determine the current working node; and the target drone production line is controlled based on the current working node and the drone production line control scheme.

[0080] In this embodiment, the production line may have been operating for some time during control. Therefore, after the production start operation is detected, data from each node in the current production line is collected to determine the current production information. Then, the current production information is matched with the process monitoring nodes in the UAV production line control scheme to determine the current working node, that is, to determine which process monitoring nodes are working and which process monitoring nodes are in an idle state. The current working node in the working state is controlled by the UAV production line control scheme, while the current working node in the idle state enters the preparation state according to the process sequence in the UAV production line control scheme.

[0081] In this embodiment, real-time monitoring images and operation data are acquired; the real-time monitoring images and operation data are then displayed in real time on a preset display page.

[0082] To facilitate timely access to information about the current work status for staff, each monitoring process node is monitored and data is acquired in real time during the production process. The obtained real-time monitoring images and operation data are then displayed on a preset display page on the host computer.

[0083] In this embodiment, in response to the control end command, all real-time monitoring images and operation data are processed to generate control results; the control results are analyzed and scored to generate control scores; control results with control scores greater than or equal to a preset threshold are stored in a preset backup scheme library.

[0084] After a batch of production is completed, all real-time monitoring images and operation data are arranged and bound to their corresponding values ​​to obtain control results. Then, problem data is extracted, and the proportion of problem data is calculated. A proportion scoring rule is set, and the control score is determined by the proportion of problem data and the proportion scoring rule. The lower the score proportion, the higher the corresponding control score, and vice versa. If the control score is lower than the preset threshold, it means that the control process is not perfect. If the control score is greater than or equal to the preset threshold, it means that the control process meets the requirements and can be reused. It is then stored in the preset backup solution library and used directly when the same production requirements occur.

[0085] Figure 2 This is a structural block diagram of a drone production line control system 200 provided in the application embodiment.

[0086] like Figure 2 As shown, the UAV production line control system 200 mainly includes:

[0087] The production information acquisition module 201 is used to acquire production line information of the target drone production line, the corresponding drone model, and the drone production process.

[0088] The monitoring node determination module 202 is used to determine the process monitoring nodes of the drone based on the production line information and the drone production process.

[0089] The monitoring scheme generation module 203 is used to generate a production line monitoring scheme based on the drone model, drone production process, and process monitoring nodes.

[0090] Installation standard acquisition module 204 is used to acquire the installation standard corresponding to the drone model;

[0091] The control scheme generation module 205 is used to generate a drone production line control scheme based on installation standards and production line monitoring schemes.

[0092] The solution production control module 206 is used to control the target drone production line based on the drone production line control solution.

[0093] As an optional implementation of this embodiment, the monitoring node determination module 202 is specifically used to extract key processes from the UAV production process, determine key monitoring processes and ordinary monitoring processes; determine production links and their work content based on production line information; match key monitoring process production links with their work content to determine key monitoring nodes; match ordinary monitoring process production links with their work content to determine ordinary monitoring nodes; and reorganize key monitoring nodes and ordinary monitoring nodes according to the UAV production process to generate process monitoring nodes.

[0094] As an optional implementation of this embodiment, the monitoring scheme generation module 203 is specifically used to determine the normal working time under the process monitoring node based on the drone production model; bind the normal working time to the drone production process to generate a binding result; obtain the timeout alarm scheme; and generate a production line monitoring scheme based on the drone model, normal working time, binding result and timeout alarm scheme.

[0095] As an optional implementation of this embodiment, the control scheme generation module 205 is specifically used to determine the installation operation method and operation parameters based on the installation standards; bind the installation operation method and operation parameters to generate operation control data; and map the operation control data to the production line monitoring scheme to generate a UAV production line control scheme.

[0096] As an optional implementation of this embodiment, the scheme production control module 206 is specifically used to respond to the production start operation by sending the UAV production line control scheme to the control terminal of the target UAV production line; obtaining the current production information; matching the current production information with the process monitoring nodes in the UAV production line control scheme to determine the current working node; and controlling the target UAV production line based on the current working node and the UAV production line control scheme.

[0097] As an optional implementation of this embodiment, the UAV production line control system 200 further includes:

[0098] The monitoring data acquisition module is used to acquire real-time monitoring images and operational data;

[0099] The monitoring data display module is used to display real-time monitoring images and operation data on a preset display page.

[0100] As an optional implementation of this embodiment, the UAV production line control system 200 further includes:

[0101] The control result generation module is used to process all real-time monitoring images and operation data and generate control results in response to the control termination command.

[0102] The control score generation module is used to perform result scoring analysis on the control results and generate control scores.

[0103] The control result storage module is used to store control results with control scores greater than or equal to a preset threshold into a preset backup scheme library.

[0104] In one example, the module in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0105] For example, when modules in a device can be implemented via a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these modules can be integrated together as a system-on-a-chip (SOC).

[0106] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0107] Figure 3 This is a structural block diagram of the electronic device 300 provided in an embodiment of this application.

[0108] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0109] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps of the aforementioned UAV production line control method. The memory 302 stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0110] I / O interface 303 provides an interface between processor 301 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 304 is used for wired or wireless communication between electronic device 300 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 304 may include a Wi-Fi component, a Bluetooth component, and an NFC component.

[0111] The electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the UAV production line control method given in the above embodiments.

[0112] The communication bus 305 may include a path for transmitting information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0113] Electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and may also be servers.

[0114] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described UAV production line control method.

[0115] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0116] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0117] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A method for controlling a drone production line, characterized in that, include: Obtain production line information, corresponding drone models, and drone production processes for the target drone production line; Based on the production line information and the drone production process, determine the process monitoring nodes for the drone; A production line monitoring scheme is generated based on the aforementioned drone model, drone production process, and process monitoring nodes. Obtain the installation standard corresponding to the drone model; A drone production line control scheme is generated based on the installation standards and the production line monitoring scheme. The target drone production line is controlled based on the aforementioned drone production line control scheme.

2. The method according to claim 1, characterized in that, The process monitoring nodes for determining the drone based on the production line information and the drone production process include: The key processes of the drone production process are extracted to determine the key monitoring processes and ordinary monitoring processes. Based on the production line information, the production process and the work content of each process are determined; Based on the work content of the aforementioned stages, the key monitoring processes of the production stages are matched to determine the key monitoring nodes. Based on the work content of the aforementioned stages, the production stages of the general monitoring process are matched to determine the general monitoring nodes. The key monitoring nodes and the ordinary monitoring nodes are reorganized according to the UAV production process to generate process monitoring nodes.

3. The method according to claim 2, characterized in that, The production line monitoring scheme generated based on the drone model, drone production process, and process monitoring nodes includes: The normal operating time at the process monitoring node is determined based on the drone production model. The normal working time is mapped to the drone production process to generate a mapping result; Obtain timeout alarm scheme; A production line monitoring scheme is generated based on the drone model, the normal operating time, the binding result, and the timeout alarm scheme.

4. The method according to claim 3, characterized in that, The process of generating a drone production line control scheme based on the installation standards and the production line monitoring scheme includes: The installation operation method and operating parameters are determined based on the aforementioned installation standards; The installation operation method and the operation parameters are bound together to generate operation control data; The operation control data is mapped to the production line monitoring scheme to generate a drone production line control scheme.

5. The method according to claim 4, characterized in that, The control of the target drone production line based on the drone production line control scheme includes: In response to the production start operation, the drone production line control scheme is sent to the control terminal of the target drone production line; Obtain current production information; The current production information is mapped to the process monitoring nodes in the UAV production line control scheme to determine the current working node; The target drone production line is controlled based on the current working node and the drone production line control scheme.

6. The method according to claim 1, characterized in that, After controlling the target drone production line based on the drone production line control scheme, the method further includes: Acquire real-time monitoring images and operational data; The real-time monitoring images and operation data are displayed in real time on a preset display page.

7. The method according to claim 6, characterized in that, After controlling the target drone production line based on the drone production line control scheme, the method further includes: In response to the control termination command, all real-time monitoring images and the operation data are processed to generate control results; The control results are analyzed and a control score is generated. The control results whose control scores are greater than or equal to a preset threshold are stored in a preset backup scheme library.

8. A control system for an unmanned aerial vehicle (UAV) production line, characterized in that, include: The production information acquisition module is used to acquire production line information, corresponding drone models, and drone production processes for the target drone production line. The monitoring node determination module is used to determine the process monitoring nodes of the UAV based on the production line information and the UAV production process. The monitoring scheme generation module is used to generate a production line monitoring scheme based on the drone model, drone production process, and process monitoring nodes. The installation standard acquisition module is used to acquire the installation standard corresponding to the drone model. A control scheme generation module is used to generate a drone production line control scheme based on the installation standards and the production line monitoring scheme. The solution production control module is used to control the target drone production line based on the drone production line control solution.

9. An electronic device, characterized in that, Includes a processor, which is coupled to a memory; The processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It includes a computer program or instructions that, when run on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

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