Complete vehicle production line and its automated management system and operation methods

Abstract

This invention discloses a vehicle production line and its automated management system and operation method. The management system includes: a self-inspection module, integrated into the vehicle's infotainment system, for outputting self-inspection results; an autonomous driving module, which controls the vehicle's autonomous driving performance testing and outputs test data after final assembly; a management module, which dynamically generates task instructions based on the production plan, workstation load, and real-time progress, and controls each module to execute tasks; and an intelligent iteration module, which optimizes the operating parameters of each module. This invention also provides a vehicle production line and operation method using the above-mentioned management system. This invention achieves fully automated closed-loop management of the entire process from final assembly, testing, road testing to rework, significantly improving first-pass yield and production efficiency.

Description

Technical Field

[0001] This invention relates to the technical field of vehicle assembly lines, specifically to complete vehicle production lines and their automated management systems and operating methods. Background Technology

[0002] There are still significant technological shortcomings in current automobile assembly lines: First, it is highly dependent on manual labor. From component assembly and fault detection to road testing, a large amount of manual labor is required. This not only results in low production efficiency, but also makes it easy for human error to cause assembly errors and missed detections. Second, the self-inspection mechanism is imperfect. Existing self-inspection relies heavily on external testing equipment, which cannot achieve real-time self-inspection during the assembly process. Furthermore, it is difficult to automatically handle assembly errors, requiring manual intervention throughout the process, which delays production progress. Third, the management and control system is fragmented. Vehicle location, assembly information, third-party testing data, task scheduling, etc. cannot be integrated into cloud management. There are gaps in vehicle-cloud interaction, resulting in low efficiency in rework processing. Fourth, there is a lack of continuous optimization capabilities. Data in the production process cannot be effectively utilized, and the production process cannot be iteratively optimized based on historical production results, making it difficult to improve the first-pass yield and meet the needs of large-scale, high-precision unmanned production.

[0003] In existing technologies, some unmanned transformations only target a single process, failing to form a collaborative system across the entire process and lacking dedicated intelligent iteration modules, thus failing to achieve autonomous optimization of the production process and resulting in a low first-pass yield. Summary of the Invention The present invention aims to at least solve one of the technical problems existing in the prior art. To this end, the present invention provides a complete vehicle production line and its automated management system and operation method.

[0004] An automated management system for a vehicle production line according to a first aspect of an embodiment of the present invention includes: The self-test module, integrated into the vehicle's infotainment system, is used to collect key assembly data of automotive components, compare the key assembly data with preset standards, and output self-test result data. The autonomous driving module is integrated into the vehicle's infotainment system. After the vehicle is fully assembled, it controls the vehicle to drive automatically to test various performance aspects and outputs autonomous driving test data. The management module is communicatively connected to the self-test module and the autonomous driving module, and is used to dynamically generate vehicle task instructions based on the production plan, the load of each workstation, and the real-time assembly progress; the management module controls the self-test module and the autonomous driving test module to execute their respective tasks through the vehicle task instructions. The intelligent iteration module is used to optimize the operating parameters of the self-test module, the management module, and the autonomous driving test module.

[0005] The automated management system for vehicle production lines according to embodiments of the present invention has at least the following beneficial effects: The four modules work together to form an unmanned closed-loop production system of "self-inspection-control-verification-iteration". The management module controls the self-inspection module and the autonomous driving module, so that the testing and road test stages do not rely on human intervention, which can reduce labor costs and lower production costs. At the same time, the intelligent iteration module optimizes the operating parameters of the self-inspection module, the management module and the autonomous driving test module, thereby improving the first pass rate.

[0006] According to some embodiments of the present invention, it further includes: Multiple third-party testing station modules are distributed at various workstations on the production line; these modules are used to test vehicles according to third-party testing parameters and output third-party testing data.

[0007] According to some embodiments of the present invention, the management module includes: The vehicle location management unit is used to acquire vehicle location and output vehicle location data; The information management and control unit is used to receive the self-inspection data, the third-party detection data, and the vehicle location data, and to establish a vehicle information file. The scheduling unit issues vehicle task instructions based on the assembly task scheduling logic and receives feedback data from the assembly equipment, the self-test module, the autonomous driving module, and the third-party testing station module to monitor the execution progress of the vehicle task instructions and any abnormalities in vehicle task execution. The rework control unit is used to generate rework task instructions based on the self-inspection data, the third-party inspection data, and the autonomous driving data. The rework control unit controls the rework area of ​​the production line to rework the vehicle through the rework task instructions, and controls the self-inspection module and the third-party inspection station module to re-inspect the vehicle after the rework is completed.

[0008] According to some embodiments of the present invention, the management module further includes: The task display unit is used to display production line scheduling information in real time.

[0009] According to some embodiments of the present invention, the intelligent iteration module includes: The historical data integration unit is used to receive the self-test data, the autonomous driving data, the vehicle information file, and the third-party detection data, and integrate them into a historical production database. The deep analysis unit is used to perform in-depth analysis of historical production data in the historical production database and generate data analysis reports. The iterative optimization unit is used to iterate and optimize the data analysis report, the self-test module, the management module, and the third-party testing station module.

[0010] According to some embodiments of the present invention, the deep analysis module uses artificial intelligence algorithms to analyze, optimize, and iterate the historical production data.

[0011] According to some embodiments of the present invention, the self-test module includes: The self-test unit is used to collect key data of automotive parts, compare the key data with a preset assembly standard database, and output the self-test results after comparison. The processing unit is used to perform graded processing based on the self-inspection results, so as to rectify the automotive parts and output error information and rectification records; The data synchronization unit is used to integrate the self-inspection results, the error information, and the rectification records into self-inspection data, and then send out the self-inspection data.

[0012] According to a second aspect of the present invention, a vehicle production line is managed using the aforementioned automated vehicle production line management system. The vehicle production line includes components arranged sequentially along the process route: The final assembly area is used for the final assembly of vehicles and includes multiple assembly stations, which are arranged sequentially according to the assembly process. The dynamic inspection area is used for performing dynamic inspections on vehicles. The road test area is used for road tests of vehicles; And a separately set-up rework area, which is used to receive vehicles that fail the inspection in the final assembly area, the dynamic inspection area and the road test area.

[0013] According to a third aspect of the present invention, a method for operating a complete vehicle production line is applicable to the aforementioned complete vehicle production line. The method includes the following steps: The vehicle is then assembled, followed by final assembly testing. If the final assembly inspection is passed, the vehicle will undergo dynamic testing. If the final assembly inspection fails, the vehicle will be repaired until it passes the final assembly inspection, after which a dynamic inspection will be conducted. If the dynamic inspection is passed, the vehicle will undergo a road test; If the dynamic inspection fails, the vehicle will be repaired until it passes the dynamic inspection. After that, the vehicle will be road tested. If the road test is passed, the vehicle will either leave the factory or be put into inventory. If the road test fails, the vehicle will be repaired. Only after the repaired vehicle passes the road test will it be released from the factory or put into storage.

[0014] According to some embodiments of the present invention, the road test steps are completed by an onboard autonomous driving system.

[0015] 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. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments, wherein: Figure 1 This is a schematic diagram of the architecture of an automated management system. Figure 2 This is a schematic diagram of the production line architecture; Figure 3 This is a flowchart illustrating the production line operation method.

[0017] Icon labels: 001. Automatic Management System; 100. Self-Inspection Module; 110. Self-Inspection Unit; 120. Handling Unit; 130. Data Synchronization Unit; 200. Autonomous Driving Module; 210. Task Receiving Unit; 220. Autonomous Driving Unit; 230. Autonomous Driving Reporting Unit; 240. Autonomous Driving Safety Control Unit; 300. Management Module; 310. Task Display Unit; 320. Vehicle Location Management Unit; 330. Information Control Unit; 340. Scheduling Unit; 350. Rework Control Unit; 400. Intelligent Iteration Module; 410. Historical Data Integration Unit; 420. Deep Analysis Unit; 430. Iterative Optimization Unit; 510. Final Assembly Area; 520. Dynamic Inspection Area; 530. Road Test Area; 540. Rework Area. Detailed Implementation

[0018] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0019] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the drawings and are only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0020] In the description of this invention, "multiple" refers to two or more. The use of "first" and "second" is for distinguishing technical features only and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or the order in which the indicated technical features are presented.

[0021] In the description of this invention, unless otherwise explicitly defined, terms such as "setting," "installing," and "connecting" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0022] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are some embodiments of the present invention, not all embodiments.

[0023] Reference Figures 1 to 3 An automated management system for a vehicle production line includes a self-inspection module, an autonomous driving module, a management module, and an intelligent iteration module.

[0024] The self-inspection module is integrated into the vehicle's infotainment system. It establishes real-time communication connections with the actuators of various assembled components (powertrain, chassis, electronic and electrical systems, body parts, etc.). The core function of the self-inspection module is to perform autonomous self-inspection throughout the entire vehicle assembly process and to handle assembly errors in a tiered manner, without the need for manual intervention. This is the foundation for achieving unmanned production.

[0025] Specifically, the self-test module includes: a self-test unit, a processing unit, and a data synchronization unit.

[0026] After the vehicle completes component assembly at each workstation on the final assembly line, the self-inspection unit automatically triggers the self-inspection program. Without external commands, it collects key data such as component installation position, connection strength, electrical continuity, and model matching through sensors, and compares it with the preset assembly standard database in real time to accurately determine whether the assembly is qualified and whether there are problems such as incorrect assembly or omissions. After comparison, the self-inspection results are output.

[0027] For assembly errors detected during self-inspection, the handling unit automatically performs tiered judgment and handling. The tiered judgment is divided into two types: the first type is solvable errors (such as slight component misalignment, insufficient bolt tightening torque, poor wiring contact, etc.). The handling unit automatically generates handling instructions, controls the on-board actuator or links the final assembly equipment to complete automatic rectification, and then re-triggers self-inspection until it passes. The second type is unsolvable errors (such as incorrect component model, component damage, excessive assembly deviation, etc.). The handling unit immediately generates detailed error information (including error location, error type, error parameters, and preliminary handling suggestions), and uploads it to the management module simultaneously, triggering an audible and visual warning, locking the vehicle's circulation access, and waiting for manual intervention. After the handling is completed, the self-inspection is restarted to prevent the error from flowing into the next process.

[0028] The data synchronization unit will collect the self-inspection results, error information, rectification records, and other data from each process to provide accurate data support for subsequent management, rework, and intelligent iteration, ensuring that the self-inspection trajectory of each vehicle is traceable.

[0029] The production line is equipped with multiple third-party testing station modules, which are distributed at various workstations on the production line. The third-party testing station modules are used to test vehicles according to third-party testing parameters and output third-party testing data.

[0030] The management module is used to achieve integrated control over the entire process. Specifically, in this embodiment, the main program of the management module is installed on a cloud-based device; in other embodiments, the management module can also be installed on a local device. The management module is mainly responsible for vehicle location management, assembly information control, inspection information aggregation, task assignment, rework processing, and control of third-party inspection stations.

[0031] The management module includes: task display unit, vehicle location management unit, information control unit, scheduling unit, and rework control unit.

[0032] The task display unit is used to display production line scheduling information in real time. Specifically, in this embodiment, the task display unit includes a monitor, which can be located locally or in a remote control room. Those skilled in the art can choose the location of the task display unit according to actual needs. Naturally, the task display unit should include a program for converting various data into images for display on the monitor.

[0033] The vehicle position management unit communicates with dedicated photoelectric detection and grating positioning devices for the production line. Multiple dedicated photoelectric detection and grating positioning devices are deployed at various workstations and key nodes in the transfer channels of the production line to collect real-time position information of all vehicles on the production line, including those awaiting final assembly, those in the final assembly stage, those awaiting repair, and those awaiting road testing. This allows the unit to capture changes in vehicle position within the production line. After acquiring the vehicle position through the dedicated photoelectric detection and grating positioning devices, the vehicle position management unit outputs the vehicle position data. The vehicle position management unit also connects to the task display unit to transmit the vehicle position data.

[0034] The information management unit receives self-inspection data uploaded by the self-inspection module and third-party inspection data uploaded by the third-party inspection station, establishes a full-process information archive for the vehicle, updates vehicle assembly progress, self-inspection results, inspection reports and other information in real time, supports accurate query by vehicle identification code, realizes full traceability of assembly and inspection information, and facilitates quick location of problems and investigation of potential hazards.

[0035] Based on the production plan, the scheduling unit issues precise task instructions to the final assembly equipment, self-inspection module, autonomous driving module, and third-party testing station, including assembly tasks, self-inspection tasks, road test tasks, and testing tasks. At the same time, it dynamically adjusts task allocation according to the load of each workstation and the vehicle assembly progress to ensure a smooth and efficient production process. During task execution, it receives feedback data from each module in real time, monitors the task execution progress, and promptly handles task execution anomalies.

[0036] The rework control unit generates rework task instructions based on the self-inspection data, the third-party inspection data, and the autonomous driving data. It automatically marks the rework type and rework location, generates a detailed rework task sheet, and sends it to the rework area. The rework control unit controls the rework area of ​​the production line to rework the vehicles through the rework task instructions, while locking the vehicle flow permissions. After the rework is completed, it controls the self-inspection module and the third-party inspection station module to re-inspect the vehicles until they are qualified, forming a closed-loop rework management of "problem discovery - rework order - re-inspection qualified", preventing unqualified vehicles from flowing into the next stage.

[0037] Furthermore, the management module establishes a communication connection with the third-party testing stations within the production line, configuring dedicated relay interaction nodes for each station. Through these relay nodes, real-time data interaction and command transmission between the cloud and the third-party testing stations are achieved, ensuring real-time and precise control of the stations without delay or lag. The module automatically initiates the testing program based on task instructions, collects testing data, and synchronizes it to the cloud via the relay nodes. Upon completion of the testing, a test report is automatically generated to determine whether the vehicle meets road test and factory standards, thus achieving unmanned and automated testing.

[0038] The task display unit can display the location, status and flow trajectory of all vehicles in real time, support accurate vehicle location query and trajectory tracing, avoid vehicle flow chaos, realize orderly scheduling of vehicles at each workstation, and adapt to the closed and refined positioning requirements of the production line.

[0039] The autonomous driving module is integrated into the vehicle after final assembly and passing the vehicle's self-inspection and third-party testing. The core function of the autonomous driving module is to realize unmanned operation in road testing, dynamic inspection and other stages, replace manual driving, complete the automated verification of vehicle performance, and ensure the quality of the vehicle before it leaves the factory.

[0040] Specifically, the autonomous driving module includes: a task receiving unit, an autonomous driving unit, an autonomous driving reporting unit, and an autonomous driving safety management unit.

[0041] The task receiving unit is used to receive road test and dynamic inspection task instructions issued by the management module, including road test routes, dynamic inspection items, verification standards, etc. It automatically starts the autonomous driving mode and completes the vehicle's start-up, driving, parking and other operations without human intervention.

[0042] The autonomous driving unit is used to complete basic operations such as acceleration, deceleration, steering, and braking according to a preset road test route (covering complex scenarios such as straight lines, curves, slopes, and speed bumps), while performing dynamic testing items (power performance, braking performance, steering performance, electronic system stability, etc.) and collecting road test and dynamic testing data in real time.

[0043] The autonomous driving reporting unit compares road test and dynamic inspection data with preset standards to determine whether the vehicle performance is up to standard. After the road test and dynamic inspection are completed, it automatically generates a complete verification report, which clarifies whether the vehicle performance is up to standard and uploads it to the management module in real time. If the verification is up to standard, the management module issues a factory or warehouse entry instruction. If the verification is down to standard, the abnormal information is uploaded simultaneously, and the management module marks it as a rework vehicle, triggering the rework process. After rectification, the factory process is restarted.

[0044] The autonomous driving safety control unit has safety functions such as autonomous obstacle avoidance and emergency braking. It can identify obstacles and other vehicles in the test area to avoid collisions. At the same time, it provides real-time feedback on the driving status to the management module. If any abnormality occurs (such as power interruption or brake failure), it will immediately stop driving, trigger an alarm, and upload abnormal information for manual handling.

[0045] The core function of the intelligent iteration module is to autonomously analyze, optimize, and iterate on the management module's processes, vehicle self-inspection standards, and assembly task scheduling based on historical production data, continuously improving production accuracy and efficiency. The intelligent iteration module is used to significantly increase the first-pass yield of the final vehicle assembly. Specifically, the intelligent iteration module includes: a historical data integration unit, a deep analysis unit, and an iterative optimization unit.

[0046] The historical data integration unit collects various types of data in real time throughout the entire vehicle assembly process, including vehicle self-inspection data (self-inspection results, error types, rectification records), cloud management data (task scheduling records, rework records, vehicle flow data), autonomous driving data (road test results, dynamic inspection anomaly data), third-party testing data, etc., to establish a massive historical production database and ensure the integrity and accuracy of the data.

[0047] The deep analysis unit uses AI algorithms (machine learning, big data analysis) to perform in-depth analysis of historical data, uncovering weaknesses in the production process, including high-frequency assembly error types, self-inspection omissions, unreasonable task scheduling, and common road test anomalies. It generates data analysis reports by identifying the key factors that clearly affect the first-pass yield.

[0048] The iterative optimization unit is used to automatically iteratively optimize the processes of the management module based on data analysis results. This includes optimizing the assembly task scheduling logic, updating the vehicle self-inspection standard thresholds, adjusting the detection parameters of the third-party testing station, and optimizing the rework process. At the same time, the optimized parameters and processes are automatically synchronized to the self-inspection module, management module, autonomous driving module, and third-party testing station to achieve system-wide collaborative optimization.

[0049] After iterative optimization, the first pass rate in the production process is monitored in real time, and the production data before and after the iteration is compared to verify the optimization effect. If the first pass rate does not reach 99%, the problem is further explored and optimized until the first pass rate of the whole vehicle assembly is stabilized at over 99%, forming an autonomous iterative closed loop of "data collection-analysis and mining-iterative optimization-effect verification".

[0050] Data from the third-party inspection module and self-inspection module at each workstation on the production line is uploaded to the management module. Through iterative optimization of unit analysis, the unmanned and efficient vehicle assembly line is ultimately achieved.

[0051] This invention provides an automated management system for a vehicle production line, comprising a self-inspection module, a management module, an autonomous driving module, and an intelligent iteration module. These four modules work together to form an unmanned closed-loop production system of "self-inspection-control-verification-iteration." The specific solution is as follows: The vehicle moves automatically along the assembly process. As it passes designated workstations on the production line, robotic arms perform assembly. At the latter half of the final assembly area, self-inspection begins. Upon completion of the final assembly, the self-inspection is complete, and self-inspection data is output. Throughout the entire process, tasks are assigned by the management module, and vehicle position management units (photoelectric nodes) deployed on the production line upload vehicle location data to the cloud-based management module. All stages are managed and iterated by the cloud-based management module. Once the final assembly is complete, based on the self-inspection data, vehicles that pass are moved to the dynamic inspection area for the next dynamic inspection; those that fail are automatically moved to the rework area for repair. Human intervention is only required in special circumstances. During the dynamic testing process, the autonomous driving module controls the vehicle to perform dynamic testing. Once the dynamic testing is passed, the vehicle enters the road test area to prepare for the next road test.

[0052] After the vehicle's self-inspection and dynamic inspection are completed, the autonomous driving module conducts tests in the factory road test environment, with the vehicle autonomously navigating the relevant test routes. Simultaneously, the results of each step are transmitted back to the management module, which iterates and upgrades the management sequence based on production line data, further improving efficiency. If a vehicle in the repair area cannot be automatically repaired on the production line, manual intervention is required. Once repaired, the vehicle proceeds to the next step. The present invention also discloses a complete vehicle production line, including a final assembly area, a dynamic inspection area, a road test area, and a separately set rework area arranged along the process route.

[0053] The vehicle is assembled in the final assembly area. The final assembly area has multiple assembly stations, and the assembly process is arranged sequentially (interior assembly - exterior assembly - final assembly).

[0054] The vehicle undergoes dynamic inspection testing in the dynamic inspection area.

[0055] The vehicle is undergoing road testing in the test area.

[0056] The rework area is used to receive vehicles that fail inspection in the final assembly area, dynamic inspection area, and road test area. The vehicles are then reworked in the road test area.

[0057] This invention also discloses a method for operating a complete vehicle production line, including the following steps: S100, Perform final assembly of the vehicle; S210. If the final assembly inspection is qualified, a dynamic inspection shall be carried out on the vehicle. S220. If the final assembly inspection fails, the vehicle will enter the repair process. After the final assembly inspection passes, the vehicle will undergo dynamic inspection. S310. If the dynamic inspection is qualified, the vehicle shall be tested on the road. S320. If the dynamic inspection fails, the vehicle shall be repaired until the dynamic inspection passes. After that, the vehicle shall be road tested. S410. If the road test is passed, the vehicle will be shipped out of the factory or put into inventory. S420. If the road test fails, the vehicle will be repaired until it passes the road test, after which the vehicle will be either shipped from the factory or put into storage.

[0058] Specifically, road tests of vehicles are conducted using the onboard autonomous driving system, which reduces manpower costs and lowers the risk of injury to staff.

[0059] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0060] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. An automated management system for a complete vehicle production line, characterized in that, include: The self-test module, integrated into the vehicle's infotainment system, is used to collect key assembly data of automotive components, compare the key assembly data with preset standards, and output self-test result data. The autonomous driving module is integrated into the vehicle's infotainment system. After the vehicle is fully assembled, it controls the vehicle to drive automatically to test various performance aspects and outputs autonomous driving test data. The management module is communicatively connected to the self-test module and the autonomous driving module, and is used to dynamically generate vehicle task instructions based on the production plan, the load of each workstation, and the real-time assembly progress; the management module controls the self-test module and the autonomous driving test module to execute their respective tasks through the vehicle task instructions. The intelligent iteration module is used to optimize the operating parameters of the self-test module, the management module, and the autonomous driving test module.

2. The automated management system for a complete vehicle production line according to claim 1, characterized in that, Also includes: Multiple third-party testing station modules are distributed at various workstations on the production line. It is used to inspect vehicles according to third-party inspection parameters and output third-party inspection data.

3. The automated management system for a complete vehicle production line according to claim 2, characterized in that, The management module includes: The vehicle location management unit is used to acquire vehicle location and output vehicle location data; The information management and control unit is used to receive the self-inspection data, the third-party detection data, and the vehicle location data, and to establish a vehicle information file. The scheduling unit issues vehicle task instructions based on the assembly task scheduling logic and receives feedback data from the assembly equipment, the self-test module, the autonomous driving module, and the third-party testing station module to monitor the execution progress of the vehicle task instructions and any abnormalities in vehicle task execution. The rework control unit is used to generate rework task instructions based on the self-inspection data, the third-party inspection data, and the autonomous driving data. The rework control unit controls the rework area of ​​the production line to rework the vehicle through the rework task instructions, and controls the self-inspection module and the third-party inspection station module to re-inspect the vehicle after the rework is completed.

4. The automated management system for a complete vehicle production line according to claim 3, characterized in that, The management module also includes: The task display unit is used to display production line scheduling information in real time.

5. The automated management system for a complete vehicle production line according to claim 2, characterized in that, The intelligent iteration module includes: The historical data integration unit is used to receive the self-test data, the autonomous driving data, the vehicle information file, and the third-party detection data, and integrate them into a historical production database. The deep analysis unit is used to perform in-depth analysis of historical production data in the historical production database and generate data analysis reports. The iterative optimization unit is used to iterate and optimize the data analysis report, the self-test module, the management module, and the third-party testing station module.

6. The automated management system for a complete vehicle production line according to claim 5, characterized in that, The deep analysis module uses artificial intelligence algorithms to analyze, optimize, and iterate the historical production data.

7. The automated management system for a complete vehicle production line according to claim 1, characterized in that, The self-test module includes: The self-test unit is used to collect key data of automotive parts, compare the key data with a preset assembly standard database, and output the self-test results after comparison. The processing unit is used to perform graded processing based on the self-inspection results, so as to rectify the automotive parts and output error information and rectification records; The data synchronization unit is used to integrate the self-inspection results, the error information, and the rectification records into self-inspection data, and then send out the self-inspection data.

8. A complete vehicle production line, characterized in that, The vehicle production line is managed by the automated management system as described in any one of claims 1-7, wherein the vehicle production line comprises: ... arranged sequentially along the process route. The final assembly area is used for the final assembly of vehicles and includes multiple assembly stations, which are arranged sequentially according to the assembly process. The dynamic inspection area is used for performing dynamic inspections on vehicles. The road test area is used for road tests of vehicles; And a separately set-up rework area, which is used to receive vehicles that fail the inspection in the final assembly area, the dynamic inspection area and the road test area.

9. A method for operating a complete vehicle production line, characterized in that, Applicable to the vehicle production line as described in claim 8, the operating method includes the following steps: The vehicle is then assembled, followed by final assembly testing. If the final assembly inspection is passed, the vehicle will undergo dynamic testing. If the final assembly inspection fails, the vehicle will be repaired until it passes the final assembly inspection, after which a dynamic inspection will be conducted. If the dynamic inspection is passed, the vehicle will undergo a road test; If the dynamic inspection fails, the vehicle will be repaired until it passes the dynamic inspection. After that, the vehicle will be road tested. If the road test is passed, the vehicle will either leave the factory or be put into inventory. If the road test fails, the vehicle will be repaired. Only after the repaired vehicle passes the road test will it be released from the factory or put into storage.

10. The method for operating a complete vehicle production line according to claim 9, characterized in that, The road test was conducted using the vehicle's onboard autonomous driving system.

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