A commercial vehicle life cycle management and detection system

Abstract

The present invention provides a commercial vehicle full life cycle (PLM) life management detection system, which relates to the technical field of automobile service life management. The commercial vehicle full life cycle (PLM) life management detection system includes a data acquisition module, a data analysis module, a detection management module, a repair and maintenance management module, a life cycle tracking module, an intelligent decision-making module, a user interaction module and a cloud platform support module. In the present invention, by monitoring and analyzing the entire process of the vehicle from procurement to scrapping, the vehicle's usage status, maintenance requirements and other information can be accurately grasped. During the use of the vehicle, potential problems can be discovered and handled in time to avoid high maintenance costs caused by the expansion of faults. The system monitors and analyzes the vehicle's operating status in real time, and can provide more scientific and reasonable maintenance suggestions for the vehicle. Through timely maintenance and repair, the service life of key components of the vehicle can be extended.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile service life management, and in particular to a commercial vehicle full life cycle (PLM) service life management detection system. Background Art

[0002] With the development of the global economy, industries such as logistics, transportation, and engineering construction are booming. As the main production tools of these industries, the market demand for commercial vehicles continues to grow. Against the background of the rapid development of e-commerce, the number of logistics and distribution vehicles has increased year by year. The commissioning of a large number of commercial vehicles has led to higher and higher requirements for vehicle management. Traditional manual inspection and management methods are difficult to meet the needs of efficiency and accuracy, and the full life cycle management inspection system has come into being.

[0003] The rapid development of Internet of Things (IoT) technology provides technical support for the life management and detection system of commercial vehicles throughout their life cycle. By installing various sensors and communication equipment on the vehicle, real-time data transmission between the vehicle and the cloud server can be achieved. Big data technology can store, analyze and mine massive amounts of vehicle detection data. By analyzing the historical and real-time data of the vehicle, potential patterns and problems in vehicle operation can be discovered.

[0004] Competition among commercial vehicle operators is becoming increasingly fierce. In order to reduce costs, improve operational efficiency and service quality, companies need to manage vehicles in a refined manner. Through the full life cycle management and testing system, companies can better understand the performance, status and use cost of vehicles, thereby optimizing operational strategies, such as reasonably arranging vehicle dispatch, reducing maintenance costs, and improving fuel economy.

[0005] Therefore, those skilled in the art provide a commercial vehicle life cycle (PLM) life management detection system to solve the problems raised in the above background technology. Summary of the invention

[0006] 1. Technical issues to be solved

[0007] In view of the shortcomings of the prior art, the present invention provides a commercial vehicle full life cycle (PLM) life management detection system, which solves the problem that the commissioning of a large number of commercial vehicles has led to increasingly higher requirements for vehicle management, and traditional manual detection and management methods are difficult to meet the needs of efficiency and accuracy.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] A commercial vehicle full life cycle (PLM) life management detection system, including a data acquisition module, a data analysis module, a detection management module, a repair and maintenance management module, a life cycle tracking module, an intelligent decision-making module, a user interaction module and a cloud platform support module;

[0011] The data acquisition module uses various sensors and data acquisition equipment to monitor the operating conditions of the vehicle;

[0012] The data analysis module analyzes the collected data, and the system can evaluate the health status of the vehicle and future maintenance needs in real time;

[0013] The inspection management module formulates a reasonable vehicle inspection plan and performs regular inspections on the vehicle according to the vehicle's usage status and usage time;

[0014] The repair and maintenance management module provides intelligent repair suggestions through real-time feedback information and prediction results, helping fleet managers to formulate repair and maintenance plans;

[0015] The life cycle tracking module predicts the remaining service life of key vehicle components based on vehicle usage, operating environment and component wear data;

[0016] The intelligent decision-making module uses artificial intelligence technology to provide intelligent decisions based on information collection and analysis, automatically recommends scheduling or maintenance according to the vehicle status, and even implements some maintenance operations through automated tools, and optimizes the driver's driving habits through data analysis to reduce vehicle wear and tear;

[0017] The user interaction module is used for vehicle management personnel and vehicle maintenance personnel to interact with the vehicle management and detection system to obtain the status of the vehicle in a timely manner;

[0018] The cloud platform support module stores and manages various types of vehicle data through the cloud platform. It not only supports local processing, but also can perform big data analysis to obtain more accurate vehicle operation analysis and life prediction, and also supports data sharing and collaboration between multiple fleets or vehicle managers.

[0019] Further, the data acquisition module includes a vehicle sensor unit, an on-board diagnostic system interface unit and a data transmission unit;

[0020] The vehicle sensor unit includes an engine sensor, a body structure sensor, a tire sensor, a GPS and a driving data collector. The engine sensor is used to monitor the temperature, pressure and fuel consumption index of the engine. The body structure sensor is used to detect the stress conditions of key parts such as the frame, wheels and suspension system. The tire sensor is used to monitor the wear and pressure of the tire in real time. The GPS and driving data collector are used to record the mileage, speed and driving mode of the vehicle.

[0021] The on-board diagnostic system interface unit is an important interface connecting the vehicle's internal network with external detection equipment. It can read the fault codes and real-time data stored in the vehicle's electronic control unit, and can also obtain dynamic data such as vehicle speed and engine speed;

[0022] The data transmission unit is responsible for transmitting the data collected by the sensor and the data read by the OBD interface to the data analysis module. The transmission method can be wired or wireless.

[0023] Further, the data analysis module includes a data storage server and data processing software;

[0024] Data storage server, used to store a large amount of vehicle inspection data, including basic vehicle information (such as vehicle model, frame number, production date, etc.), historical inspection data (such as inspection records at each maintenance, fault repair records, etc.) and real-time inspection data (such as current vehicle speed, engine operating conditions, etc.);

[0025] Data processing software analyzes and processes the collected data. It can clean the data, remove noise and erroneous data, and perform data mining to extract valuable information from massive amounts of data.

[0026] Further, the detection management module includes a detection task management submodule, a detection standard database and a detection report generation submodule;

[0027] The detection task management submodule is used to formulate vehicle detection task plans. It can also urgently arrange fault diagnosis and detection tasks based on the vehicle's fault alarm information and give priority to handling faults that affect the safe driving of the vehicle;

[0028] The testing standard database stores national standards, industry standards and internal enterprise standards for various commercial vehicle testing, and accurately provides corresponding testing standards based on vehicle type and usage factors, providing a basis for determining the test results;

[0029] The test report generation submodule generates a detailed test report based on the test data and test standards. The test report includes the basic information of the vehicle, test items, test results, whether it meets the standards, and maintenance suggestions.

[0030] Furthermore, the repair and maintenance management module includes a repair plan formulation unit, a repair history record management unit and a parts management unit;

[0031] Develop a maintenance plan unit to arrange regular inspections and maintenance based on the vehicle's usage and remaining lifespan, and automatically generate a maintenance task list based on the vehicle's mileage, usage time, and test results to remind vehicle managers and drivers to perform maintenance;

[0032] Maintenance history management unit records all maintenance and replacement records of the vehicle to form a complete vehicle maintenance file;

[0033] The parts management unit purchases and replaces parts in advance based on the predicted service life to avoid vehicle operations being affected by out-of-stock or expired parts.

[0034] Furthermore, the life cycle tracking module includes production stage tracking, usage stage tracking and scrapping stage tracking. The production stage tracking is used to track the production and delivery process of the vehicle to ensure that the vehicle meets quality standards. The usage stage tracking is used to monitor the daily operation of the vehicle to detect abnormalities in a timely manner. The scrapping stage tracking is used to evaluate whether the vehicle has the value of being reused or whether it needs to be processed and disposed of when the vehicle is close to being scrapped.

[0035] Furthermore, the user interaction module includes a monitoring terminal and a user rights management submodule;

[0036] The monitoring terminal is used to provide a real-time monitoring interface for vehicle management personnel and maintenance personnel. The key parameters of the vehicle, such as the curves of engine temperature and oil temperature over time, can be displayed graphically on the monitoring terminal.

[0037] The user rights management submodule is used to manage the access rights of different users. Through user rights management, the security and reasonable use of data can be ensured.

[0038] Furthermore, the cloud platform support module includes a data integration and unified management unit, a data storage and backup unit, a data analysis and mining unit, an intelligent decision support unit, and a cloud sharing and collaboration unit;

[0039] Data integration and unified management unit, which is used to support the collection of various data from different vehicles, sensors and devices, such as vehicle operation data, sensor data, maintenance records, and driving behavior data. On the cloud platform, data from different systems and devices are uniformly processed and standardized to ensure that the formats of various data are consistent and convenient for further processing and analysis;

[0040] Data storage and backup unit, by providing scalable storage solutions, can handle the large amount of data generated during vehicle operation, such as engine temperature, mileage, fuel consumption. Through distributed database and file system, the cloud platform can support high-concurrency and high-reliability data access while ensuring data security, backup and disaster recovery;

[0041] The data analysis and mining unit can provide real-time data processing capabilities, analyze data at the moment it is generated, and perform trend analysis on historical data to help operators understand the long-term performance of vehicles, identify potential failure risks, and take preventive measures in advance;

[0042] Through machine learning and predictive models, the cloud platform can predict the remaining life of the vehicle, the degree of wear and failure of each key component;

[0043] Intelligent decision support unit, including decision models, intelligent optimization and automated maintenance reminders;

[0044] Decision-making model: Based on big data analysis, the cloud platform can provide intelligent decision-making support for fleet managers, for example, automatically generating repair and maintenance plans based on vehicle health status, maintenance history, and usage environment;

[0045] Intelligent optimization: The cloud platform can optimize scheduling and maintenance strategies based on vehicle operating status, driving routes, load and other factors, reduce overall operating costs and improve vehicle utilization efficiency;

[0046] Automated maintenance reminders: When a vehicle is predicted to break down or require maintenance, an early warning or reminder can be automatically sent to fleet managers to avoid vehicle downtime or safety accidents caused by neglected maintenance.

[0047] Cloud sharing and collaboration unit: The cloud platform can realize data sharing among fleet managers, maintenance service providers and supply chains. At the same time, multiple fleets or managers can jointly manage vehicles through the cloud platform, share usage experience and optimize management strategies.

[0048] (III) Beneficial effects

[0049] The present invention provides a commercial vehicle life cycle management and detection system. It has the following beneficial effects:

[0050] 1. The present invention provides a commercial vehicle full life cycle (PLM) life management detection system. By monitoring and analyzing the entire process of vehicle procurement to scrapping, the vehicle's usage status, maintenance requirements and other information can be accurately grasped. During the use of the vehicle, potential problems can be discovered and handled in a timely manner to avoid high repair costs caused by the expansion of faults. The system monitors and analyzes the vehicle's operating status in real time and can provide more scientific and reasonable maintenance suggestions for the vehicle. Through timely maintenance and repair, the service life of key vehicle components can be extended, the frequency of vehicle replacement can be reduced, and the vehicle acquisition cost can be reduced.

[0051] 2. The present invention provides a commercial vehicle full life cycle (PLM) life management detection system. By using various sensors and monitoring equipment, it can monitor the key components and driving status of the vehicle in real time. Once an abnormal situation is detected, the system will immediately issue an alarm to remind the driver and management personnel to take timely measures to avoid accidents and improve safety. After an accident occurs, the system can record the vehicle status data at the time of the accident, provide strong evidence for accident analysis, find out the causes and laws of the accident, formulate corresponding preventive measures, and improve the safety of the vehicle.

[0052] 3. The present invention provides a commercial vehicle full life cycle (PLM) life management detection system, which integrates all vehicle information in the cloud platform, making it convenient for managers to query and manage, avoiding information dispersion and omissions, improving information accuracy and completeness, and providing a reliable basis for vehicle management decisions. With the help of Internet of Things technology, managers can monitor and manage vehicles in real time through a remote monitoring platform. No matter where the vehicle is traveling, they can timely understand the vehicle's operating status and location information, realize centralized management and scheduling of vehicles, and improve management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a structural diagram of the life management detection system of the present invention;

[0054] Figure 2 It is a structural diagram of the data acquisition module of the present invention;

[0055] Figure 3 It is a structural diagram of the detection management module of the present invention;

[0056] Figure 4 This is a structural diagram of the repair and maintenance management module of the present invention;

[0057] Figure 5 This is a structural diagram of the cloud platform support module of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the specific embodiments of the present invention to clearly and completely describe the technical solutions in the specific embodiments of the present invention. Obviously, the specific embodiments described are only part of the specific embodiments of the present invention, not all of the specific embodiments. Based on the specific embodiments of the present invention, all other specific embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Specific implementation 1:

[0060] like Figure 1-5 As shown, a specific embodiment of the present invention provides a commercial vehicle full life cycle (PLM) life management detection system, including a data acquisition module, a data analysis module, a detection management module, a repair and maintenance management module, a life cycle tracking module, an intelligent decision-making module, a user interaction module and a cloud platform support module;

[0061] The data acquisition module uses various sensors and data acquisition equipment to monitor the operating conditions of the vehicle;

[0062] The data acquisition module includes a vehicle sensor unit, an on-board diagnostic system interface unit, and a data transmission unit;

[0063] The vehicle sensor unit includes an engine sensor, a body structure sensor, a tire sensor, a GPS and a driving data collector. The engine sensor is used to monitor the temperature, pressure and fuel consumption index of the engine. The body structure sensor is used to detect the stress conditions of key parts such as the frame, wheels and suspension system. The tire sensor is used to monitor the wear and pressure of the tire in real time. The GPS and driving data collector are used to record the mileage, speed and driving mode of the vehicle.

[0064] The on-board diagnostic system interface unit is an important interface between the vehicle's internal network and external detection equipment. It can read the fault codes and real-time data stored in the vehicle's electronic control unit. For example, when the engine fails, the ECU will record the corresponding fault code. Through the OBD interface, the detection system can obtain these fault codes and accurately determine the type and location of the fault. It can also obtain dynamic data such as vehicle speed and engine speed;

[0065] The data transmission unit is responsible for transmitting the data collected by the sensor and the data read by the OBD interface to the data analysis module. The transmission method can be wired, such as transmitting data through the CAN bus (Controller Area Network) inside the vehicle, or wireless, such as using 4G / 5G communication technology to send data to a data processing server in the cloud;

[0066] The data analysis module analyzes the collected data, and the system can evaluate the health status of the vehicle and future maintenance needs in real time;

[0067] The data analysis module includes a data storage server and data processing software;

[0068] Data storage servers are used to store a large amount of vehicle inspection data, including basic vehicle information (such as vehicle model, frame number, production date, etc.), historical inspection data (such as inspection records at each maintenance, fault repair records, etc.) and real-time inspection data (such as current vehicle speed, engine operating conditions, etc.); data storage servers usually use high-performance hard disk arrays to ensure data security and scalability. For example, using RAID (Redundant Array of Independent Disks) technology can prevent data loss due to hard disk failure;

[0069] Data processing software analyzes and processes the collected data. It can clean the data and remove noise and erroneous data. For example, when a sensor has a short-term fault and causes the collected data to be abnormal, the data processing software can identify and remove these abnormal data through algorithms. It can also perform data mining to extract valuable information from massive amounts of data. For example, by analyzing the fuel consumption data of vehicles under different working conditions, it can find abnormal increases in fuel consumption and analyze possible causes.

[0070] The inspection management module formulates a reasonable vehicle inspection plan and performs regular inspections on the vehicle according to the vehicle's usage status and usage time;

[0071] The test management module includes a test task management submodule, a test standard database, and a test report generation submodule;

[0072] The inspection task management submodule is used to formulate vehicle inspection task plans. For example, regular maintenance inspection tasks are automatically generated based on factors such as vehicle mileage and usage time. Regular maintenance inspections can be set every 10,000 kilometers, including inspections of the vehicle chassis, suspension system, tires, etc.

[0073] It can also urgently arrange fault diagnosis and detection tasks according to the vehicle's fault alarm information, giving priority to handling faults that affect the safe driving of the vehicle;

[0074] The test standard database stores national standards, industry standards and internal enterprise standards for various commercial vehicle tests, and accurately provides corresponding test standards based on vehicle type and usage factors, providing a basis for the determination of test results. For example, in terms of braking performance testing, the state stipulates that the braking distance of commercial vehicles at a certain speed cannot exceed a specific value;

[0075] The test report generation submodule generates a detailed test report based on the test data and test standards. The test report includes the basic information of the vehicle, test items, test results, whether it meets the standards, and maintenance suggestions. For example, after the exhaust emission test of the vehicle, the test report can clearly show the content of various pollutants in the exhaust gas, compare it with the national emission standards, determine whether it meets the standards, and propose maintenance measures to be taken if the standards are exceeded, such as cleaning the exhaust treatment device;

[0076] The repair and maintenance management module provides intelligent repair suggestions through real-time feedback information and prediction results, helping fleet managers to formulate repair and maintenance plans;

[0077] The repair and maintenance management module includes a repair plan making unit, a repair history record management unit, and a parts management unit;

[0078] Develop a maintenance plan unit to arrange regular inspections and maintenance based on the vehicle's usage and remaining lifespan, and automatically generate a maintenance task list based on the vehicle's mileage, usage time, and test results to remind vehicle managers and drivers to perform maintenance;

[0079] Maintenance history management unit records all maintenance and replacement records of the vehicle to form a complete vehicle maintenance file;

[0080] Parts management unit, which purchases and replaces parts in advance based on the predicted service life to avoid vehicle operations being affected by out-of-stock or expired parts;

[0081] The life cycle tracking module predicts the remaining service life of key vehicle components based on vehicle usage, operating environment and component wear data;

[0082] The life cycle tracking module includes production phase tracking, use phase tracking and scrap phase tracking. The production phase tracking is used to track the production and delivery process of the vehicle to ensure that the vehicle meets the quality standards;

[0083] The use phase tracking is used to monitor the daily operation of the vehicle and find abnormalities in time. For example, for the tires of the vehicle, the system can use mathematical models to predict the remaining mileage of the tires based on factors such as tire mileage, tire pressure changes, road conditions, etc. For complex components such as engines and transmissions, the wear degree of their internal parts and oil temperature changes can also be analyzed to predict the time they can still work normally. This provides a scientific basis for vehicle maintenance plans and component replacement plans, and avoids vehicle breakdowns due to sudden component damage;

[0084] The scrapping stage tracking is used to evaluate whether a vehicle has the value of being reused or needs to be processed and disposed of when the vehicle is close to being scrapped;

[0085] The intelligent decision-making module uses artificial intelligence technology to provide intelligent decisions based on information collection and analysis, automatically recommends scheduling or maintenance according to the vehicle status, and even implements some maintenance operations through automated tools, and optimizes the driver's driving habits through data analysis to reduce vehicle wear and tear;

[0086] The user interaction module is used for vehicle management personnel and vehicle maintenance personnel to interact with the vehicle management and detection system to obtain the status of the vehicle in a timely manner;

[0087] The user interaction module includes monitoring terminal and user rights management submodules;

[0088] Monitoring terminal is used to provide a real-time monitoring interface for vehicle status for vehicle management personnel and maintenance personnel. The key parameters of the vehicle, such as the curve of engine temperature and oil temperature over time, can be displayed graphically on the monitoring terminal. The monitoring terminal can be a computer installed in the vehicle management office or a tablet computer in the hands of maintenance personnel.

[0089] The user rights management submodule is used to manage the access rights of different users. Through user rights management, the security and reasonable use of data can be ensured. For example, the vehicle driver may only have the authority to view the basic operating status of the vehicle, such as vehicle speed, remaining fuel, etc.; while the maintenance technician can access more detailed vehicle inspection data and fault diagnosis information for maintenance work; the vehicle management personnel have higher-level permissions such as arranging inspection tasks and viewing inspection reports;

[0090] The cloud platform support module stores and manages various types of vehicle data through the cloud platform. It not only supports local processing, but also can perform big data analysis to obtain more accurate vehicle operation analysis and life prediction, and also supports data sharing and collaboration between multiple fleets or vehicle managers.

[0091] The management and detection system can also analyze the performance data of the vehicle, including power performance, fuel economy, braking performance, etc. By analyzing the performance differences between different vehicles, the factors affecting performance can be found. For example, by comparing the fuel economy of vehicles of the same model, it is found that some vehicles have high fuel consumption. By further analyzing their driving habits, vehicle load, tire pressure and other factors, corresponding optimization measures can be taken, such as adjusting driving habits, reasonably distributing vehicle load, maintaining normal tire pressure, etc., to improve the overall performance of the vehicle.

[0092] The management and detection system also considers factors such as vehicle purchase cost, maintenance cost, fuel cost, and insurance cost to analyze vehicle operating costs. By analyzing a large amount of vehicle data, the changing patterns of vehicle operating costs for different models, different transportation routes, and different service years are determined. For example, for long-distance transportation vehicles, fuel costs account for a large proportion, and operating costs can be effectively reduced by optimizing transportation routes and improving fuel economy. At the same time, the system can provide decision support for vehicle upgrades, operating model adjustments, etc. based on the results of cost analysis.

[0093] The management and detection system can also evaluate the reliability of vehicles and determine the reliability index of vehicles by analyzing factors such as vehicle failure frequency, failure severity, and maintenance time. For example, the mean mileage between failures (MTBF) of a certain model is calculated. If the MTBF is low, it means that the reliability of the model is poor. Based on the reliability evaluation results, the system can provide support for vehicle renewal decisions. When the reliability of a vehicle drops to a certain level, or the maintenance cost is too high, the system will recommend updating the vehicle to improve transportation efficiency and safety and further reduce the cost of use.

[0094] Although specific embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the specific embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A commercial vehicle full life cycle (PLM) life management detection system, including a data acquisition module, a data analysis module, a detection management module, a repair and maintenance management module, a life cycle tracking module, an intelligent decision-making module, a user interaction module and a cloud platform support module, characterized in that: The data acquisition module uses various sensors and data acquisition equipment to monitor the operating conditions of the vehicle; The data analysis module analyzes the collected data, and the system can evaluate the health status of the vehicle and future maintenance needs in real time; The inspection management module formulates a reasonable vehicle inspection plan and performs regular inspections on the vehicle according to the vehicle's usage status and usage time; The repair and maintenance management module provides intelligent repair suggestions through real-time feedback information and prediction results, helping fleet managers to formulate repair and maintenance plans; The life cycle tracking module predicts the remaining service life of key vehicle components based on vehicle usage, operating environment and component wear data; The intelligent decision-making module uses artificial intelligence technology to provide intelligent decisions based on information collection and analysis, automatically recommends scheduling or maintenance according to the vehicle status, and even implements some maintenance operations through automated tools, and optimizes the driver's driving habits through data analysis to reduce vehicle wear and tear; The user interaction module is used for vehicle management personnel and vehicle maintenance personnel to interact with the vehicle management and detection system to obtain the status of the vehicle in a timely manner; The cloud platform support module stores and manages various types of vehicle data through the cloud platform. It not only supports local processing, but also can perform big data analysis to obtain more accurate vehicle operation analysis and life prediction, and also supports data sharing and collaboration between multiple fleets or vehicle managers.

2. A commercial vehicle full life cycle (PLM) life management detection system according to claim 1, characterized in that: The data acquisition module includes a vehicle sensor unit, an on-board diagnostic system interface unit and a data transmission unit; The vehicle sensor unit includes an engine sensor, a body structure sensor, a tire sensor, a GPS and a driving data collector. The engine sensor is used to monitor the temperature, pressure and fuel consumption index of the engine. The body structure sensor is used to detect the stress conditions of key parts such as the frame, wheels and suspension system. The tire sensor is used to monitor the wear and pressure of the tire in real time. The GPS and driving data collector are used to record the mileage, speed and driving mode of the vehicle. The on-board diagnostic system interface unit is an important interface connecting the vehicle's internal network with external detection equipment. It can read the fault codes and real-time data stored in the vehicle's electronic control unit, and can also obtain dynamic data such as vehicle speed and engine speed; The data transmission unit is responsible for transmitting the data collected by the sensor and the data read by the OBD interface to the data analysis module. The transmission method can be wired or wireless.

3. A commercial vehicle full life cycle (PLM) life management detection system according to claim 1, characterized in that: The data analysis module includes a data storage server and data processing software; Data storage server, used to store a large amount of vehicle detection data, including basic vehicle information, historical detection data and real-time detection data; Data processing software analyzes and processes the collected data. It can clean the data, remove noise and erroneous data, and perform data mining to extract valuable information from massive amounts of data.

4. A commercial vehicle full life cycle (PLM) life management detection system according to claim 1, characterized in that: The detection management module includes a detection task management submodule, a detection standard database and a detection report generation submodule; The detection task management submodule is used to formulate vehicle detection task plans. It can also urgently arrange fault diagnosis and detection tasks based on the vehicle's fault alarm information and give priority to handling faults that affect the safe driving of the vehicle; The testing standard database stores national standards, industry standards and internal enterprise standards for various commercial vehicle testing, and accurately provides corresponding testing standards based on vehicle type and usage factors, providing a basis for determining the test results; The test report generation submodule generates a detailed test report based on the test data and test standards. The test report includes the basic information of the vehicle, test items, test results, whether it meets the standards, and maintenance suggestions.

5. A commercial vehicle life cycle (PLM) life management detection system according to claim 1, characterized in that: The repair and maintenance management module includes a repair plan making unit, a repair history record management unit and a parts management unit; Develop a maintenance plan unit to arrange regular inspections and maintenance based on the vehicle's usage and remaining lifespan, and automatically generate a maintenance task list based on the vehicle's mileage, usage time, and test results to remind vehicle managers and drivers to perform maintenance; Maintenance history management unit records all maintenance and replacement records of the vehicle to form a complete vehicle maintenance file; The parts management unit purchases and replaces parts in advance based on the predicted service life to avoid vehicle operations being affected by out-of-stock or expired parts.

6. A commercial vehicle life cycle (PLM) life management detection system according to claim 1, characterized in that: The life cycle tracking module includes production stage tracking, usage stage tracking and scrapping stage tracking. The production stage tracking is used to track the production and delivery process of the vehicle to ensure that the vehicle meets quality standards. The usage stage tracking is used to monitor the daily operation of the vehicle and discover abnormalities in time. The scrapping stage tracking is used to evaluate whether the vehicle is worth reusing or needs to be processed and disposed of when the vehicle is close to being scrapped.

7. A commercial vehicle life cycle (PLM) life management detection system according to claim 1, characterized in that: The user interaction module includes a monitoring terminal and a user rights management submodule; The monitoring terminal is used to provide a real-time monitoring interface for vehicle management personnel and maintenance personnel. The key parameters of the vehicle, such as the curves of engine temperature and oil temperature over time, can be displayed graphically on the monitoring terminal. The user rights management submodule is used to manage the access rights of different users. Through user rights management, the security and reasonable use of data can be ensured.

8. A commercial vehicle life cycle (PLM) life management detection system according to claim 1, characterized in that: The cloud platform support module includes a data integration and unified management unit, a data storage and backup unit, a data analysis and mining unit, an intelligent decision support unit, and a cloud sharing and collaboration unit; Data integration and unified management unit, which is used to support the collection of various data from different vehicles, sensors and devices, such as vehicle operation data, sensor data, maintenance records, and driving behavior data. On the cloud platform, data from different systems and devices are uniformly processed and standardized to ensure that the format of various data is consistent and convenient for further processing and analysis; Data storage and backup unit, by providing scalable storage solutions, can handle the large amount of data generated during vehicle operation, such as engine temperature, mileage, fuel consumption. Through distributed database and file system, the cloud platform can support high-concurrency and high-reliability data access while ensuring data security, backup and disaster recovery; The data analysis and mining unit can provide real-time data processing capabilities, analyze data at the moment it is generated, and perform trend analysis on historical data to help operators understand the long-term performance of vehicles, identify potential failure risks, and take preventive measures in advance; Through machine learning and predictive models, the cloud platform can predict the remaining life of the vehicle, the degree of wear and failure of each key component; Intelligent decision support unit, including decision models, intelligent optimization and automated maintenance reminders; Decision-making model: Based on big data analysis, the cloud platform can provide intelligent decision-making support for fleet managers, for example, automatically generating repair and maintenance plans based on vehicle health status, maintenance history, and usage environment; Intelligent optimization: The cloud platform can optimize scheduling and maintenance strategies based on vehicle operating status, driving routes, load and other factors, reduce overall operating costs and improve vehicle utilization efficiency; Automated maintenance reminders: When a vehicle is predicted to break down or require maintenance, an early warning or reminder can be automatically sent to fleet managers to avoid vehicle downtime or safety accidents caused by neglected maintenance. Cloud sharing and collaboration unit: The cloud platform can realize data sharing among fleet managers, maintenance service providers and supply chains. At the same time, multiple fleets or managers can jointly manage vehicles through the cloud platform, share usage experience and optimize management strategies.

Images