Vehicle static inspection system, method and device, electronic equipment, storage medium and platform

Abstract

The invention discloses a vehicle static inspection system, method and device, electronic equipment, a storage medium and a platform, and relates to the field of vehicle maintenance. The assembly production line is used for vehicle assembly. The maintenance production line is used for vehicle maintenance; after the assembly production line completes vehicle assembly, the vehicle is off-line; judging whether the state of the off-line vehicle meets a first factory standard or not; if yes, releasing the vehicle to a presale storage site; if not, the vehicle is transferred to the maintenance production line; maintaining the vehicle according to the maintenance production line, and judging whether the state of the vehicle meets a second delivery standard or not; and if yes, releasing the vehicle to the presale storage site. According to the scheme, the experience of personnel is absorbed and sorted, and the maintenance suggestion data is continuously iterated, so that the experience data of operators are shared, and better maintenance efficiency and result are obtained.

Description

Technical Field

[0001] The present application relates to the field of vehicle maintenance, and in particular to a vehicle static inspection system, a vehicle static inspection method, a vehicle maintenance system, a vehicle static inspection device, an electronic device, a storage medium and a platform. Background Art

[0002] After the vehicle rolls off the assembly line, it is necessary to enter the inspection area for pre-delivery inspections such as four-wheel alignment and electrical component testing. After completing the four-wheel alignment, it is necessary to enter the static inspection line to readjust the vehicle's rear axle parameters. The conventional method is for the driver to carry a vehicle quality inspection card, park the vehicle in the adjustment station trench, get off the vehicle and hand the card to the maintenance personnel in the trench, and wait for the maintenance personnel to retrieve the card after completion. The maintenance personnel calculate and give a maintenance plan based on the four-wheel alignment data of the vehicle on the card. This method leads to low work efficiency, is prone to quality problems caused by personnel calculation errors, and personnel may face safety risks during the maintenance process.

[0003] In addition, during the inspection process, it was found that there were a large number of repeated identical quality problems as well as occasional unique quality problems in the vehicles transferred to the maintenance station. Standardizing the work flow only through external equipment still has a strong reliance on personnel experience, which affects the further improvement of maintenance efficiency and control of product quality.

[0004] Therefore, a vehicle static inspection solution is needed to improve the automation level of the process, reduce the intensity of repetitive work of personnel, optimize data processing capabilities, and make full use of the rich experience of personnel. Summary of the invention

[0005] The purpose of the present invention is to provide a vehicle static inspection system, a vehicle static inspection method, a vehicle maintenance system, a vehicle static inspection device, an electronic device, a storage medium and a platform, which at least solve the problem of maintenance data iteration, the problem of enhancing maintenance capabilities, the problem of locking the root cause of the problem, and the problem of reducing the workload of personnel.

[0006] The present invention provides the following scheme:

[0007] According to one aspect of the present invention, there is provided a vehicle static inspection system, the vehicle static inspection system comprising: an assembly production line and a maintenance production line;

[0008] The assembly line is used for vehicle assembly;

[0009] The maintenance production line is used for vehicle maintenance;

[0010] After the assembly line completes the assembly of the vehicle, the vehicle is taken off the assembly line;

[0011] Determine whether the status of the vehicle off the production line meets the first factory standard;

[0012] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0013] If, it is not satisfied, the vehicle is transferred to the maintenance production line;

[0014] Repairing the vehicle according to the maintenance production line, and determining whether the vehicle state meets the second factory standard;

[0015] If,satisfied, the vehicle will be released to the pre-sale storage location.

[0016] Furthermore, the vehicle static inspection system further includes: a first learning model and a second learning model;

[0017] The first learning model is used to generate maintenance suggestion data items and maintenance suggestion data item data for the vehicle after the vehicle is offline;

[0018] The second learning model is used to generate maintenance suggestion data items and maintenance suggestion data item data for a vehicle assembly process;

[0019] generating a first maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data generated by the first learning model;

[0020] A second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data generated by the second learning model.

[0021] According to two aspects of the present invention, a vehicle static inspection method is provided, the vehicle static inspection method comprising:

[0022] Set vehicle labels according to the vehicle offline;

[0023] Corresponding to the vehicle tag, bundle the initial status data of the associated vehicle;

[0024] Transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle;

[0025] Retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle;

[0026] Generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0027] Determining whether the vehicle status meets the first factory standard;

[0028] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0029] If, it is not satisfied, then a first maintenance instruction is generated and executed;

[0030] The executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy;

[0031] The transferring the vehicle to the maintenance station for maintenance and executing the maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0032] Among them, scanning the vehicle tag to retrieve the initial state data of the vehicle assembly;

[0033] The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

[0034] Further, generating a maintenance strategy and executing a maintenance instruction includes:

[0035] Determining whether the first maintenance instruction has been executed;

[0036] If the execution is completed, then according to the completion of the execution of the first maintenance instruction, the initial state data of the vehicle is updated;

[0037] Determining whether the vehicle state meets the second factory standard;

[0038] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0039] If not, then request to obtain a second maintenance instruction.

[0040] Further, including:

[0041] Acquire the second maintenance instruction data according to the request, and verify whether the collection of the initial state data associated with the vehicle is correct;

[0042] If, yes, then according to the initial state data of the vehicle assembly, the maintenance suggestion data item and the maintenance suggestion data item data are obtained;

[0043] The initial state data of vehicle assembly includes the initial state data of the vehicle corresponding to the state of vehicle assembly on the production line;

[0044] A maintenance strategy corresponding to the second maintenance instruction is generated according to the maintenance suggestion data item acquired based on the initial state data of the vehicle assembly and the maintenance suggestion data item data, and the maintenance strategy is implemented in executing the second maintenance instruction.

[0045] Further, including:

[0046] After the second maintenance instruction is executed, a third factory standard is generated according to the maintenance suggestion data item acquired based on the initial state data of the vehicle assembly and the maintenance suggestion data item data;

[0047] Determining whether there is a deviation in assembly performance of the production line according to the third factory standard, the first factory standard, the second factory standard, the maintenance suggestion data item, and the data of the maintenance suggestion data item;

[0048] If,exists, then iterate the second learning model.

[0049] Further, including:

[0050] Determining whether there is a deviation in non-production line assembly performance based on the third factory standard, the first factory standard, the second factory standard, the maintenance suggestion data item, and the maintenance suggestion data item data;

[0051] If,exists, then iterate the first learning model.

[0052] Further, including:

[0053] According to the existence of the deviation in the non-production line assembly performance, the second factory standard is updated using the third factory standard.

[0054] Further, including:

[0055] According to the deviation of the assembly performance of the production line, the maintenance suggestion data item and / or the production line object associated with the maintenance suggestion data item are locked;

[0056] Generate a label describing the production line object according to the locked maintenance suggestion data item and / or the production line object associated with the maintenance suggestion data item;

[0057] According to the label of the production line object, a label is marked on the corresponding production line object;

[0058] The vehicle labels are bundled based on the labels marked on the corresponding production line objects.

[0059] According to three aspects of the present invention, there is provided a vehicle maintenance system, the vehicle maintenance system comprising: a back-end service module and a front-end service module;

[0060] The front-end service module is used for interacting with the vehicle entity;

[0061] The backend service module is used for interacting with vehicle data;

[0062] The front-end service module is communicatively connected to the back-end service module;

[0063] Wherein, according to the interaction between the front-end service module and the vehicle entity, the vehicle status data is obtained and then sent;

[0064] According to the interaction with vehicle data under the backend service module, the vehicle status data is received and processed, and maintenance instructions are generated and sent;

[0065] The front-end service module receives and executes maintenance instructions.

[0066] Further, it also includes: an iteration module;

[0067] The iteration module is used to iterate the generation of factory standards and maintenance instructions;

[0068] wherein, according to the front-end service module executing the maintenance instruction, the iteration module determines whether the vehicle meets the factory standards;

[0069] If, it does not meet the requirement, then obtain the data of production line assembly performance deviation and / or non-production line assembly performance deviation;

[0070] The iteration module iterates the generation of factory standards and maintenance instructions according to the data of production line assembly performance deviation and / or non-production line assembly performance deviation.

[0071] According to four aspects of the present invention, a vehicle static inspection device is provided, the vehicle static inspection device comprising:

[0072] The label data module is used to set vehicle labels according to the vehicle offline;

[0073] A data bundling module is used to bind the initial state data of the associated vehicle to the corresponding vehicle tag;

[0074] A data retrieval module is used to transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle;

[0075] A detection data module, used for retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle;

[0076] A factory standard module, used to generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0077] A state judgment module, used to judge whether the vehicle state meets the first factory standard;

[0078] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0079] If, it is not satisfied, then a first maintenance instruction is generated and executed;

[0080] The executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy;

[0081] The transferring the vehicle to the maintenance station for maintenance and executing the maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0082] Maintenance standard module, used to scan vehicle tags and retrieve the initial status data of vehicle assembly;

[0083] The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

[0084] According to five aspects of the present invention, there is provided an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0085] A computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the vehicle static inspection method.

[0086] According to a sixth aspect of the present invention, there is provided a computer-readable storage medium, comprising: a computer program executable by an electronic device is stored therein, and when the computer program runs on the electronic device, the electronic device executes the steps of the vehicle static inspection method.

[0087] According to seven aspects of the present invention, a platform is provided, including:

[0088] An electronic device, used to implement the steps of the vehicle static inspection method;

[0089] A processor, the processor runs a program, and when the program runs, the steps of the vehicle static inspection method are executed from the data output by the electronic device;

[0090] The storage medium is used to store a program, and when the program is running, the steps of the vehicle static inspection method are executed for the data output from the electronic device.

[0091] Through the above scheme, the following beneficial technical effects are obtained:

[0092] This application simplifies data management and transmission by setting identification tags, and at the same time uses tags to unify actual operations and data records.

[0093] This application absorbs and organizes the experience of personnel, continuously iterates the maintenance suggestion data, enables operators to share their experience data, and obtain better maintenance efficiency and results.

[0094] This application synchronizes physical interaction and data interaction to unify maintenance results and data records to prevent work omissions.

[0095] This application sets a first factory standard and a second factory standard to adapt to the inspection of vehicles with the same design parameters that have undergone different production processes, so as to better standardize the factory standards, especially during the maintenance process, and reduce the reliance on personal experience of personnel.

[0096] The present application distinguishes and processes maintenance objects from general maintenance events and emergency maintenance events by setting a first maintenance instruction and a second maintenance instruction, so that the maintenance processing method is reasonable and low-cost, and the labor intensity of personnel is reduced.

[0097] The present application uses a first learning model and a second learning model to focus on vehicle maintenance and vehicle stable production status respectively, so that the number of maintenance events is suppressed to a low level and the pattern of maintenance events is suppressed to a controllable level. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] Figure 1 It is a structural diagram of a vehicle static inspection system provided by one or more embodiments of the present invention.

[0099] Figure 2 It is a flow chart of a vehicle static inspection method provided by one or more embodiments of the present invention.

[0100] Figure 3 It is a structural diagram of a vehicle maintenance system provided by one or more embodiments of the present invention.

[0101] Figure 4 It is a structural diagram of a vehicle static inspection device provided by one or more embodiments of the present invention.

[0102] Figure 5 It is a schematic diagram of a vehicle static inspection operation process according to a specific embodiment of the present invention.

[0103] Figure 6 It is a schematic diagram of a vehicle static inspection system architecture according to a specific embodiment of the present invention.

[0104] Figure 7 It is a schematic diagram of the steps of a vehicle static inspection method according to a specific embodiment of the present invention.

[0105] Figure 8 The present invention is a block diagram of an electronic device structure of a vehicle static inspection method provided by one or more embodiments of the present invention. DETAILED DESCRIPTION

[0106] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0107] Figure 1 It is a structural diagram of a vehicle static inspection system provided by one or more embodiments of the present invention.

[0108] like Figure 1 The vehicle static inspection system shown includes: an assembly production line and a maintenance production line;

[0109] Assembly lines, for vehicle assembly;

[0110] Maintenance production line, for vehicle maintenance;

[0111] After the assembly line completes the assembly of the vehicle, the vehicle rolls off the assembly line;

[0112] Determine whether the status of the vehicle off the production line meets the first factory standard;

[0113] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0114] If,not satisfied, the vehicle will be transferred to the maintenance production line;

[0115] Repair the vehicle according to the maintenance production line and determine whether the vehicle status meets the second factory standard;

[0116] If,satisfied, the vehicle will be released to the pre-sale storage location.

[0117] Specifically, after processing the vehicle parts on the assembly line, a complete vehicle product is obtained, but not every vehicle product can be sold directly after it is off the line. After the quality inspection under the first factory standard, the vehicles that meet the first factory standard can be directly sent to the pre-sale storage area to wait for the market. However, although the vehicles that do not meet the first factory standard have defects, they do not need to be scrapped. They can be sent to the maintenance production line to repair the vehicles so that they meet the first factory standard. Since the vehicles sent to the maintenance production line undergo a maintenance process that does not exist on the assembly line, a second factory standard is set for the vehicles sent to the maintenance production line. In this embodiment, the first factory standard is used to evaluate vehicles that have undergone the assembly process of the assembly line, and the second factory standard is used to evaluate vehicles that have undergone the assembly line process and the maintenance process of the maintenance line. That is, the second factory standard not only includes the various inspection objects and data of the first factory standard, but also further improves the requirements for the inspection objects and data of the vehicle maintenance process. In this embodiment, the second factory standard is a wider and more stringent factory standard than the first factory standard.

[0118] In this embodiment, the vehicle static inspection system further includes: a first learning model and a second learning model;

[0119] A first learning model is used to generate maintenance suggestion data items and maintenance suggestion data item data for a vehicle after the vehicle is offline;

[0120] a second learning model, for generating maintenance suggestion data items and maintenance suggestion data item data for a vehicle assembly process;

[0121] Generate a first maintenance instruction based on the maintenance suggestion data item generated by the first learning model and the maintenance suggestion data item data;

[0122] A second factory standard is generated based on the maintenance suggestion data item generated by the second learning model and the maintenance suggestion data item data.

[0123] Specifically, the first learning model inputs data based on the state of the vehicle itself, which mainly comes from product design parameter data. Product design parameter data includes data of the vehicle itself and data of vehicle production parameters. The data of the vehicle itself includes, for example, data of the vehicle appearance, data of the vehicle functions, data of the vehicle performance, etc. The data of vehicle production parameters includes, for example, data of materials, data of processes, etc. For example, using 7mm thick steel plates to process chassis longitudinal beams, using a certain model of controller, using a front windshield provided by a certain manufacturer, etc. Through the first learning model, maintenance suggestion data items and maintenance suggestion data item data for the vehicle after the vehicle is off the assembly line are obtained, and the first maintenance instruction is generated through the first learning model for repairing the vehicle itself.

[0124] The second learning model inputs data based on the state of the manufactured vehicle, which includes, in addition to the vehicle design parameter data, the production line state data that achieves the vehicle design parameters. The production line state data that achieves the vehicle design parameters include data on production equipment parameters, data on process type parameters, etc. For example, the design parameter data based on a certain bolt of the vehicle includes the torque size and the grade of the bolt. Under the corresponding bolt grade, the data that achieves the torque of the vehicle bolt includes the parameters of the pneumatic gun. The corresponding parameters of the pneumatic gun also include parameters such as the pneumatic pipeline, gas tank, gas valve, and compressor connected to the pneumatic gun. Through the second learning model, maintenance suggestion data items and maintenance suggestion data item data for the vehicle assembly process are generated. In addition to guiding the maintenance of the vehicle itself, it also guides the query of abnormal states in the assembly manufacturing process, that is, through the abnormal state of the vehicle, the problems that occurred in the vehicle during the production process are judged, and based on the capacity characteristics of the production line, the possible vehicle offline state is predicted, and maintenance measures are set accordingly. The second factory standard is the factory standard used to evaluate vehicles that have undergone the assembly line process and the maintenance process of the vehicle maintenance line, which involves the assembly manufacturing capability generated by the production line status. For example, in the pneumatic pipeline of a pneumatic gun, the temperature of the pneumatic valve increases after working for a long time, and its sensitivity and sealing decrease, which may cause the pneumatic gun to output insufficient torque. The second factory standard includes torque detection and judgment on bolts tightened by pneumatic guns with high operating frequencies, rather than the first factory standard which only detects torque on bolts that are found to have insufficient torque.

[0125] Figure 2 It is a flow chart of a vehicle static inspection method provided by one or more embodiments of the present invention.

[0126] like Figure 2 The vehicle static inspection method shown includes:

[0127] Set vehicle labels according to the vehicle offline;

[0128] Corresponding to the vehicle tag, bundle the initial status data of the associated vehicle;

[0129] Transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle;

[0130] Retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle;

[0131] Generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0132] Determining whether the vehicle status meets the first factory standard;

[0133] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0134] If, it is not satisfied, then a first maintenance instruction is generated and executed;

[0135] Executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy;

[0136] Transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction based on the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0137] Among them, scanning the vehicle tag to retrieve the initial state data of the vehicle assembly;

[0138] The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

[0139] Specifically, the vehicle tag is used to bind the vehicle entity with the vehicle data in the computer system. Based on the identification of the vehicle tag, the initial state data associated with the vehicle, such as the initial state data of the vehicle and the initial state data of the vehicle assembly, are stored and retrieved. Setting the tag on the vehicle is part of the manufacturing process, and the data related to the vehicle is obtained by scanning the tag with a scanner. When the vehicle is offline, the vehicle itself is first inspected. The first factory standard is generated based on the maintenance suggestion data item of the initial state data of the vehicle and the maintenance suggestion data item data, and the parameter status of the vehicle is judged by the standard. At this time, if the vehicle meets the first factory standard, it is directly judged that the vehicle is "qualified", which is equivalent to indirectly judging that the assembly line of the production vehicle is also "qualified". No further inspection is performed and the vehicle is sent to the pre-sale storage area. At this time, if the vehicle does not meet the first factory standard, in addition to the need for maintenance of the vehicle, it is also necessary to question whether the vehicle assembly process is normal. The maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle assembly are maintenance suggestion data items and maintenance suggestion data item data generated by the fusion of vehicle design and vehicle assembly data. In addition to proposing suggestions for vehicle maintenance, they also extend to inspection suggestions for the vehicle assembly that caused the maintenance, and preventive measures for possible similar problems.

[0140] The first learning model, in addition to inputting data based on the state of the vehicle itself, also inputs historical experience data of maintenance personnel, such as data for determining whether the vehicle is "qualified", such as data for correcting the original first factory standard, etc. Thus, the maintenance suggestion data item and maintenance suggestion data item data of the initial state data of the vehicle are output, the initial state data of the current vehicle is filtered, and it is determined whether it meets the first factory standard. If it does not meet the first factory standard, the first maintenance instruction is generated according to the result of filtering the initial state data of the current vehicle. The maintenance instruction includes the maintenance strategy extracted from the maintenance suggestion data item and the maintenance suggestion data item data.

[0141] In addition to inputting data based on the state of the vehicle itself, the second learning model also inputs data on the production state of the production line, such as data on the state of the production equipment that completes a certain assembly process of the vehicle. It also inputs historical experience data of maintenance personnel, such as data on the state of the production line that determines the "unqualified" vehicle. Thus, the maintenance suggestion data item of the initial state data of the vehicle assembly and the maintenance suggestion data item data are output, and the second factory standard is formed. Although the entity of the detection object is set as the vehicle in the second factory standard, the data processing is extended to the production line. For example, a bolt is assembled by a pneumatic gun on the production line, and the pneumatic gun assembly abnormality data is generated by insufficient torque of a bolt. A pneumatic gun can be assembled for multiple bolts. In the second factory standard, it can be extended to torque detection of multiple bolts based on insufficient torque of one bolt. A percentage threshold can be set in the second factory standard. When it is found that the torque of multiple bolts is insufficient and exceeds the threshold, it can be determined that the vehicle does not meet the second factory standard. The consequence is not only triggering a maintenance event for the vehicle, but also a batch maintenance event.

[0142] In this embodiment, generating a maintenance strategy and executing a maintenance instruction includes:

[0143] Determining whether the first maintenance instruction has been executed;

[0144] If the execution is completed, then according to the completion of the execution of the first maintenance instruction, the initial state data of the vehicle is updated;

[0145] Determining whether the vehicle state meets the second factory standard;

[0146] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0147] If not, then request to obtain a second maintenance instruction.

[0148] Specifically, the maintenance suggestion data item and the maintenance suggestion data item data cover the preset maintenance strategy for the vehicle. By importing the initial state data of the vehicle into the first learning model, the generated first maintenance instruction corresponds to the initial state of the current vehicle. The vehicle after maintenance changes the initial state of the vehicle, that is, the updated initial state data of the vehicle is obtained, which can be regarded as a vehicle off the maintenance production line and tested by the second factory standard. When the vehicle state meets the second factory standard, it means that the first maintenance instruction is valid, that is, the maintenance suggestion data item and the maintenance suggestion data item data under the first learning model can solve the maintenance problem of the vehicle. When the vehicle state does not meet the second factory standard, it means that the first maintenance instruction is invalid, and it is necessary to further obtain the maintenance strategy, that is, request to obtain the second maintenance instruction. When it is necessary to request to obtain the second maintenance instruction, it can be questioned that the vehicle assembly of the assembly line has defects and can no longer stably output qualified vehicles.

[0149] In this embodiment, it includes:

[0150] Acquire the second maintenance instruction data according to the request, and verify whether the collection of the initial state data associated with the vehicle is correct;

[0151] If, yes, then according to the initial state data of the vehicle assembly, the maintenance suggestion data item and the maintenance suggestion data item data are obtained;

[0152] The initial state data of vehicle assembly includes the initial state data of the vehicle corresponding to the state of vehicle assembly on the production line;

[0153] A maintenance strategy corresponding to the second maintenance instruction is generated according to the maintenance suggestion data item acquired based on the initial state data of the vehicle assembly and the maintenance suggestion data item data, and the maintenance strategy is implemented in executing the second maintenance instruction.

[0154] Specifically, since the initiation of obtaining the second maintenance instruction is based on the questioning of the state of the assembly line, it needs to be handled with caution. First, check whether the collection of the initial state data associated with the vehicle is correct, that is, start with the most common errors. After confirming that it is correct, the maintenance suggestion data item and the maintenance suggestion data item data are obtained according to the initial state data of the vehicle assembly; the maintenance suggestion data item and the maintenance suggestion data item data obtained at this time are maintenance suggestion data items and maintenance suggestion data item data for the vehicle assembly process, and the vehicle assembly abnormality leading to vehicle product abnormality is regarded as a strong correlation. For example, for the vehicle state of insufficient vehicle bolt tightening torque, the data item of insufficient air pressure that may occur in its assembly process and the pneumatic valve temperature data that causes insufficient air pressure are pre-set as maintenance suggestion data items and maintenance suggestion data item data, thereby strongly correlating the abnormality of insufficient bolt torque in the vehicle product with the vehicle assembly abnormality of insufficient air pressure of the pneumatic gun. Further, the maintenance strategy of the second maintenance instruction includes detection and judgment of all bolts tightened by the pneumatic gun. If it is found during the detection and judgment that the torque of all bolts tightened by the pneumatic gun is insufficient, the torque of the bolts tightened by other pneumatic guns is also insufficient, the maintenance suggestion data item and the maintenance suggestion data item data can be expanded to the air tank, main line, air pump, pressure gauge, etc.

[0155] In this embodiment, it includes:

[0156] After the second maintenance instruction is executed, a third factory standard is generated according to the maintenance suggestion data item acquired based on the initial state data of the vehicle assembly and the maintenance suggestion data item data;

[0157] Determining whether there is a deviation in assembly performance of the production line according to the third factory standard, the first factory standard, the second factory standard, the maintenance suggestion data item, and the data of the maintenance suggestion data item;

[0158] If,exists, then iterate the second learning model.

[0159] Specifically, the third factory standard is equivalent to the current temporary factory standard. By comparing the third factory standard, the first factory standard, the second factory standard, the maintenance suggestion data item and the maintenance suggestion data item data, the deviation of the maintenance object and the maintenance data can be observed. It is not ruled out that the decline in assembly performance of the production line, such as equipment aging, is an irreversible state or trend. Based on this, the second learning model can be iterated. By iterating the second learning model, the maintenance suggestion data item and the maintenance suggestion data item data of the vehicle assembly process are predicted, and the second factory standard is dynamically generated. For example, it is predicted that as the vehicle assembly continues, the equipment at a certain station will be abnormal with a high probability. For example, the pneumatic valve parameters of the pneumatic gun are marked with the maximum number of uses and the temperature performance range, but there is no standard information indicating what kind of temperature rise will be caused in what environment and what frequency of use, and the resulting vehicle unqualified state in the vehicle assembly. By iterating the second learning model, the vehicle assembly process related to the pneumatic gun and the vehicle products manufactured under the process are processed and managed, and the second factory standard related to the bolt torque is dynamically generated. For example, the second factory standard can be fine-tuned according to the frequency fluctuation of vehicles coming off the production line.

[0160] In this embodiment, it includes:

[0161] Determining whether there is a deviation in non-production line assembly performance based on the third factory standard, the first factory standard, the second factory standard, the maintenance suggestion data item, and the maintenance suggestion data item data;

[0162] If,exists, then iterate the first learning model.

[0163] Specifically, one possibility is not ruled out. The assembly performance of the production line has not changed. For example, the third factory standard is consistently presented in a stable state. For example, if it is known that a certain component has changed its supplier or the designer has changed the vehicle design parameters, it can be inferred that the first factory standard or / and the second factory standard are no longer applicable due to the deviation of the non-production line assembly performance. Under the premise of stable production line assembly performance, the first learning model can be iterated to generate only the maintenance suggestion data items related to vehicle parameters and the maintenance suggestion data items, and further obtain the first factory standard. The deviation of non-production line assembly performance is considered to be reversible and stable.

[0164] In this embodiment, it includes:

[0165] Based on the existence of deviations in non-production line assembly performance, the second factory standard is updated using the third factory standard.

[0166] Specifically, based on the deviation of non-production line assembly performance, it can be inferred that the first factory standard or / and the second factory standard are reversible and stable. For example, if a component is changed to a new supplier or the original vehicle design parameters are changed back, the original first factory standard or / and the second factory standard will continue to apply. Based on this, the second factory standard can be updated with the third factory standard and then continue to be used.

[0167] In this embodiment, it includes:

[0168] According to the deviation of the assembly performance of the production line, the maintenance suggestion data item and / or the production line object associated with the maintenance suggestion data item are locked;

[0169] Generate a label describing the production line object according to the locked maintenance suggestion data item and / or the production line object associated with the maintenance suggestion data item;

[0170] According to the label of the production line object, a label is marked on the corresponding production line object;

[0171] The vehicle labels are bundled based on the labels marked on the corresponding production line objects.

[0172] Specifically, based on the deviation in the assembly performance of the production line, the maintenance suggestion data item and / or the production line object associated with the maintenance suggestion data item is locked. For example, if it is determined that a bolt on the vehicle is associated with the pneumatic gun on the production line, the pneumatic gun can be associated with the initial state data describing the vehicle, and a label can be set on the pneumatic gun. The assembly of the vehicle can be traced back to the specific production line object, making it convenient to describe the pneumatic gun entity.

[0173] Figure 3 It is a structural diagram of a vehicle maintenance system provided by one or more embodiments of the present invention.

[0174] like Figure 3 The vehicle maintenance system shown includes: a back-end service module and a front-end service module;

[0175] Front-end service module, used for interaction with vehicle entities;

[0176] Backend service module, used for interaction with vehicle data;

[0177] The front-end service module is communicatively connected to the back-end service module;

[0178] Among them, according to the interaction with the vehicle entity under the front-end service module, the vehicle status data is obtained and sent;

[0179] Based on the interaction with vehicle data in the backend service module, the vehicle status data is received and processed, and maintenance instructions are generated and sent;

[0180] The front-end service module receives and executes maintenance instructions.

[0181] Specifically, in this embodiment, the station flow and detection of the vehicle need to be controlled by the front-end service module, such as the interaction between the transfer equipment, the driver, the maintenance personnel, etc. and the vehicle entity and the equipment entity. The interaction with the vehicle entity and the equipment entity occurs, and the data of the recorded entity status is in a corresponding relationship, that is, the back-end service module is composed of a human-machine terminal, an equipment data terminal, and a computer system, and processes the entity interaction status data of the transfer equipment, the driver, the maintenance personnel, etc.

[0182] In this embodiment, it also includes: an iteration module;

[0183] Iteration module, used for iterative generation of factory standards and maintenance instructions;

[0184] Among them, according to the front-end service module, the maintenance instruction is executed, and the iteration module determines whether the vehicle meets the factory standards;

[0185] If, it does not meet the requirement, then obtain the data of production line assembly performance deviation and / or non-production line assembly performance deviation;

[0186] The iteration module iterates the generation of factory standards and maintenance instructions based on the data of production line assembly performance deviation and / or non-production line assembly performance deviation.

[0187] Specifically, in this embodiment, the iteration module is used to enhance the alternative to over-reliance on personnel experience. Based on vehicle maintenance events, personnel can further connect the possibility of many maintenance events that occur on the production line. Through the iteration module, the change data of each maintenance strategy is continuously obtained to achieve experience accumulation.

[0188] Figure 4 It is a structural diagram of a vehicle static inspection device provided by one or more embodiments of the present invention.

[0189] like Figure 4 The vehicle static inspection device shown includes: a label data module, a data bundling module, a data retrieval module, a detection data module, a factory standard module, a state judgment module, and a maintenance standard module;

[0190] The label data module is used to set vehicle labels according to the vehicle offline;

[0191] A data bundling module is used to bind the initial state data of the associated vehicle to the corresponding vehicle tag;

[0192] A data retrieval module is used to transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle;

[0193] A detection data module, used for retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle;

[0194] A factory standard module, used to generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0195] A state judgment module, used to judge whether the vehicle state meets the first factory standard;

[0196] If, the conditions are met, the vehicle will be released to the pre-sale storage location;

[0197] If, it is not satisfied, then a first maintenance instruction is generated and executed;

[0198] Executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy;

[0199] Transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction based on the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle;

[0200] Maintenance standard module, used to scan vehicle tags and retrieve the initial status data of vehicle assembly;

[0201] The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

[0202] It is worth noting that although the system only discloses the label data module, data bundling module, data retrieval module, detection data module, factory standard module, status judgment module, and maintenance standard module, it does not mean that the device is limited to the above-mentioned basic functional modules. On the contrary, what the present invention wants to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the prior art to form an infinite number of embodiments or technical solutions. In other words, the system is open rather than closed. Just because the present embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the above-mentioned basic functional modules.

[0203] Figure 5 It is a schematic diagram of a vehicle static inspection operation process according to a specific embodiment of the present invention.

[0204] Figure 6 It is a schematic diagram of a vehicle static inspection system architecture according to a specific embodiment of the present invention.

[0205] Figure 7It is a schematic diagram of the steps of a vehicle static inspection method according to a specific embodiment of the present invention.

[0206] In a specific embodiment, Figure 6 The vehicle static inspection system architecture shown includes: a hardware system for implementing control logic and a software system for executing upper-level instructions.

[0207] The hardware system that implements the control logic includes hardware control devices such as barcode scanners, traffic lights, electronic barriers, PLCs, tablet computers, tablet computer tooling, industrial computers, and private cloud servers. The barcode scanner tooling is placed at the entrance of the static inspection line, and the barcode scanner is placed on the top of the tooling flush with the driver's seat; the traffic light is placed directly in front; the electronic barrier is placed between the first and second maintenance stations; the PLC and industrial computer are placed in the line cabinet, and the tablet computer is placed on the tablet computer tooling and placed in the trench of the first maintenance station. The hardware system is compiled based on Siemens Portal and communicates with the PLC through industrial Ethernet.

[0208] The software system that executes the upper instructions consists of a back-end server system and a front-end application system. The back-end server system consists of Web services, socket services, and MySQL databases. The Web services of the back-end server system are implemented based on the http protocol. The socket.io service of the back-end server system establishes a socket connection with the industrial computer and the tablet computer through the websocket protocol to communicate with the industrial computer and send data to the tablet application.

[0209] The front-end application system consists of a tablet application and an industrial computer client application. In all socket connections, the RabbitMQ service is used to increase communication stability. Maintenance personnel view vehicle inspection data on the tablet. Based on their own experience, if the maintenance suggestion data is inconsistent with the maintenance suggestion given by the system, they can manually modify the maintenance suggestion data. After being modified, the maintenance suggestion data enters the maintenance suggestion database and can be iteratively optimized.

[0210] In another specific embodiment, Figure 5 The vehicle static inspection operation process shown includes:

[0211] Step S1: The traffic light is always green and the barrier is raised; the barcode scanner is fixed on the on-site tooling, and after the detection vehicle enters the detection area, the driver directly scans the barcode on the vehicle card in the driving position;

[0212] Step S2, the upper control system obtains the vehicle four-wheel alignment data in the MOM system by scanning the vehicle chassis number information obtained;

[0213] Step S3, the upper control system compares the four-wheel alignment data with the standard value to determine whether the vehicle is qualified; if so, the traffic light status is green light flashing for 10 seconds and the vehicle is directly released; if not, execute step S4;

[0214] Step S4: the traffic light changes from green to red, the barrier is lowered, and the vehicle enters the maintenance area;

[0215] Step S5: a tablet computer is placed in the trench of the maintenance area, and maintenance personnel perform maintenance on the vehicle by viewing the visualized information on the tablet computer and combining their own experience and maintenance suggestions;

[0216] Step S6, maintenance is completed, click the confirmation completion button on the tablet, the traffic light status changes from red to green, the gate is lifted, and the vehicle is released.

[0217] The vehicle static inspection operation process optimizes the on-site operation process, solves the safety hazards of personnel at the inspection site, improves the stability of maintenance quality, and solves problems such as unstructured management of inspection and maintenance data through front-end and back-end development technologies, thereby improving work efficiency, reducing work intensity, and increasing the degree of automation.

[0218] In step S2, it also includes:

[0219] Step S21, the upper control system communicates with the barcode scanner through the serial port protocol, obtains the vehicle chassis number information on the barcode, and sends a request to the back-end server system;

[0220] Step S22, the upper control system realizes the connection between the back-end server system and the MOM system interface, and associates the vehicle's four-wheel alignment data in the MOM system database according to the vehicle chassis number information;

[0221] Step S23: The upper control system calculates and gives maintenance suggestions based on the previous four-wheel alignment data and sends them to the tablet application.

[0222] In step S3, it also includes:

[0223] Step S31: The upper system maintenance suggestion model inputs data from the vehicle's own state, mainly from product design parameter data. The product design parameter data includes the vehicle's own data and vehicle production parameter data.

[0224] Step S32: inputting data based on the state of manufacturing vehicles, including, in addition to vehicle design parameter data, production line state data for achieving vehicle design parameters. The production line state data for achieving vehicle design parameters includes production equipment parameter data, process type parameter data, and the like.

[0225] Step S33: For vehicle status fluctuations caused by reasons other than equipment or production lines, the fluctuation data items are screened in combination with manual experience, and the model is finally iterated.

[0226] In step S5, it also includes:

[0227] Step S51: The maintenance personnel view the vehicle inspection data on the tablet and can manually modify the maintenance suggestion data based on their own experience if it is inconsistent with the maintenance suggestion given by the system.

[0228] Step S52: After being modified, the maintenance suggestion data enters the maintenance suggestion database for iterative optimization.

[0229] In another specific embodiment, a vehicle inspection result predictive maintenance method based on artificial intelligence is provided, which can accurately predict the vehicle maintenance needs and maintenance methods by analyzing historical vehicle inspection data and maintenance data.

[0230] 1. Data collection module: This module is responsible for collecting various data generated by the vehicle during the static inspection line inspection process, including but not limited to vehicle model, four-wheel alignment data, fault code, and historical maintenance records. These data will serve as the basis for subsequent machine learning model training.

[0231] 2. Data preprocessing module: Clean and standardize the collected raw data to eliminate noise and inconsistency and ensure the quality and availability of the data. This step includes operations such as removing outliers, filling missing values, and normalizing data.

[0232] 3. Feature extraction module: Extract features that are highly relevant to vehicle maintenance recommendations from the preprocessed data. These features may include the vehicle's specific fault code, historical maintenance times, specific parameters of four-wheel alignment, etc.

[0233] 4. Machine learning model building module: Use the extracted feature data and combine it with the machine learning algorithm to build a prediction model. The goal of the model is to learn the mapping relationship between vehicle fault features and maintenance recommendations.

[0234] 5. Model training and optimization module: Use historical maintenance data to train the constructed machine learning model, and use cross-validation and other techniques to optimize the model to improve the model's generalization ability and prediction accuracy.

[0235] 6. Maintenance suggestion generation module: New vehicle inspection data is input into the trained model, and the model automatically generates maintenance suggestions based on the learned patterns. These suggestions include but are not limited to maintenance parts, maintenance methods, required accessories, etc.

[0236] 7. Result verification and feedback module: Verify the accuracy of the maintenance recommendations generated by the model by comparing them with the actual maintenance results. Based on the verification results, collect feedback data and use it for further training and optimization of the model to achieve continuous improvement of the model.

[0237] In another specific embodiment, Figure 7 The vehicle static inspection method shown includes the following steps:

[0238] Step A1, obtaining offline vehicles;

[0239] Step A2, corresponding to the vehicle offline, setting the vehicle identity tag;

[0240] Step A3, corresponding to the vehicle identity, collect the initial status data of the vehicle offline, upload and store;

[0241] Step A4, transporting the vehicle to the inspection station, scanning the label to obtain the vehicle identity, and retrieving the initial state data of the vehicle offline according to the vehicle identity;

[0242] Step A5, according to the initial state data of the vehicle when it is offline, retrieve the data of the first factory standard data item corresponding to the vehicle and compare it with the initial state data of the vehicle when it is offline;

[0243] Step A6, judging whether the initial state data of the vehicle off the production line meets the factory standard according to the factory standard data items;

[0244] Step A7: If the conditions are met, the vehicle is released to the pre-sale storage location;

[0245] Step A8: If it does not meet the requirements, the vehicle is transferred to a maintenance station and the maintenance suggestion data item corresponding to the initial state data of the vehicle offline is retrieved;

[0246] Step A9, sending the maintenance suggestion data item corresponding to the initial state data of the offline vehicle to the human-machine terminal of the maintenance station;

[0247] Step A10, wherein first maintenance instruction data is generated based on the data of the maintenance suggestion data item;

[0248] Step A11, executing the first maintenance instruction data, and correspondingly executing the first maintenance instruction data in the human-machine terminal data input, uploading and storing;

[0249] Step A12, according to the completion of the execution of the first maintenance instruction data and the completion of the data input on the human-machine terminal corresponding to the execution of the first maintenance instruction data, the vehicle is released to the pre-sale storage place.

[0250] In this embodiment, it also includes: updating the initial state data of the current vehicle offline according to the completion of executing the first maintenance instruction data and the completion of data input at the human-machine terminal corresponding to the execution of the first maintenance instruction data;

[0251] According to the updated initial state data of the current vehicle offline, judging whether the vehicle meets the second factory standard;

[0252] If it meets the requirements, the vehicle will be released to the pre-sale storage location;

[0253] If not, then request to obtain the second maintenance instruction data.

[0254] In this embodiment, it also includes:

[0255] Acquire the second maintenance instruction data according to the request, collect the initial state data of the current vehicle offline and review the initial state data of the vehicle offline in the database;

[0256] If the verification is correct, the second maintenance instruction data is generated according to the initial state data of the current vehicle offline;

[0257] According to the completion of executing the second maintenance instruction data and the completion of data input on the human-machine terminal corresponding to the execution of the second maintenance instruction data, the initial state data of the current vehicle offline is updated;

[0258] According to the updated initial state data of the current vehicle offline, judging whether the vehicle meets the second factory standard;

[0259] If it meets the requirements, the vehicle will be released to the pre-sale storage location;

[0260] In this embodiment, it also includes:

[0261] According to the completion of executing the second maintenance instruction data and the vehicle meeting the second factory standard, judging whether there is a deviation in generating the maintenance instruction data according to the second maintenance instruction data and the first maintenance instruction data;

[0262] If,exist, then a model for iteratively generating maintenance instructions is,generated through deviation analysis combined with human experience input.

[0263] In this embodiment, it also includes:

[0264] If not, generating a maintenance suggestion data item and maintenance suggestion data item data according to the second maintenance instruction data;

[0265] Wherein, the maintenance suggestion data item and the maintenance suggestion data item data generated corresponding to the second maintenance instruction data are updated with the maintenance suggestion data item and the maintenance suggestion data item data generated corresponding to the first maintenance instruction data;

[0266] Wherein, the model of the maintenance suggestion data item and the maintenance suggestion data item data generated in correspondence with the first maintenance instruction data is updated, and the maintenance suggestion data item and the maintenance suggestion data item data are iteratively generated.

[0267] In this embodiment, it also includes:

[0268] Locking the maintenance suggestion data item or / and the maintenance suggestion data item data according to the existence of a deviation in the generated maintenance instruction data;

[0269] Generate a description object tag according to the locked maintenance suggestion data item and / or the maintenance suggestion data item data;

[0270] According to the description object label, mark the corresponding description object.

[0271] Figure 8 The present invention is a block diagram of an electronic device structure of a vehicle static inspection method provided by one or more embodiments of the present invention.

[0272] like Figure 8 As shown, the present application provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus;

[0273] A computer program is stored in the memory. When the computer program is executed by the processor, the processor executes the steps of a vehicle static inspection method.

[0274] The present application also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of a vehicle static inspection method.

[0275] The present application also provides a platform, including:

[0276] Electronic equipment, used to implement the steps of the vehicle static inspection method;

[0277] A processor, the processor runs a program, and when the program runs, the steps of the vehicle static inspection method are executed from the data output by the electronic device;

[0278] The storage medium is used to store a program, and when the program is running, the program executes the steps of the vehicle static inspection method for the data output from the electronic device.

[0279] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0280] The electronic device includes a hardware layer, an operating system layer running on the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and a memory. The operating system can be any one or more computer operating systems that implement electronic device control through a process, such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system, or a Windows operating system. In addition, in an embodiment of the present invention, the electronic device can be a handheld device such as a smart phone or a tablet computer, or can be an electronic device such as a desktop computer or a portable computer, which is not particularly limited in the embodiment of the present invention.

[0281] The execution subject of the electronic device control in the embodiment of the present invention may be an electronic device, or a functional module in the electronic device that can call and execute a program. The electronic device may obtain the firmware corresponding to the storage medium. The firmware corresponding to the storage medium is provided by the supplier. The firmware corresponding to different storage media may be the same or different, which is not limited here. After the electronic device obtains the firmware corresponding to the storage medium, the firmware corresponding to the storage medium may be written into the storage medium, specifically, the firmware corresponding to the storage medium may be burned into the storage medium. The process of burning the firmware into the storage medium may be implemented using existing technology, which will not be described in detail in the embodiment of the present invention.

[0282] The electronic device may also obtain a reset command corresponding to the storage medium. The reset command corresponding to the storage medium is provided by the supplier. The reset commands corresponding to different storage media may be the same or different, and are not limited here.

[0283] At this time, the storage medium of the electronic device is a storage medium in which the corresponding firmware is written, and the electronic device can respond to the reset command corresponding to the storage medium in the storage medium in which the corresponding firmware is written, so that the electronic device resets the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command can be implemented by the existing technology and will not be described in detail in the embodiments of the present invention.

[0284] For the convenience of description, the above devices are described in terms of functions and are divided into various units and modules. Of course, when implementing the present application, the functions of each unit and module can be implemented in the same or multiple software and / or hardware.

[0285] Those skilled in the art will appreciate that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by those skilled in the art in the art to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined.

[0286] For the method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0287] It can be known from the description of the above implementation modes that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute the methods described in the various implementation modes of the present application or certain parts of the implementation modes.

[0288] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A vehicle static inspection system, characterized in that: The vehicle static inspection system includes: an assembly production line and a maintenance production line; The assembly line is used for vehicle assembly; The maintenance production line is used for vehicle maintenance; After the assembly line completes the assembly of the vehicle, the vehicle is offline; Determine whether the status of the vehicle off the production line meets the first factory standard; If, the conditions are met, the vehicle will be released to the pre-sale storage location; If, it is not satisfied, the vehicle is transferred to the maintenance production line; Repairing the vehicle according to the maintenance production line, and determining whether the vehicle state meets the second factory standard; If,satisfied, the vehicle will be released to the pre-sale storage location.

2. The vehicle static inspection system according to claim 1, characterized in that: The vehicle static inspection system further includes: a first learning model and a second learning model; The first learning model is used to generate maintenance suggestion data items and maintenance suggestion data item data for the vehicle after the vehicle is offline; The second learning model is used to generate maintenance suggestion data items and maintenance suggestion data item data for a vehicle assembly process; generating a first maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data generated by the first learning model; A second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data generated by the second learning model.

3. A vehicle static inspection method, characterized in that: The vehicle static inspection method comprises: Set vehicle labels according to the vehicle offline; Corresponding to the vehicle tag, bundle the initial status data of the associated vehicle; Transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle; Retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle; Generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle; Determining whether the vehicle status meets the first factory standard; If, the conditions are met, the vehicle will be released to the pre-sale storage location; If, it is not satisfied, then a first maintenance instruction is generated and executed; The executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy; The transferring the vehicle to the maintenance station for maintenance and executing the maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle; Among them, scanning the vehicle tag to retrieve the initial state data of the vehicle assembly; The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

4. The vehicle static inspection method according to claim 3, characterized in that: Generating a maintenance strategy and executing a maintenance instruction comprises: Determining whether the first maintenance instruction has been executed; If the execution is completed, then according to the completion of the execution of the first maintenance instruction, the initial state data of the vehicle is updated; Determining whether the vehicle state meets the second factory standard; If, the conditions are met, the vehicle will be released to the pre-sale storage location; If not, then request to obtain a second maintenance instruction.

5. The vehicle static inspection method according to claim 4, characterized in that: include: Acquire the second maintenance instruction data according to the request, and verify whether the collection of the initial state data associated with the vehicle is correct; If, yes, then according to the initial state data of the vehicle assembly, the maintenance suggestion data item and the maintenance suggestion data item data are obtained; The initial state data of vehicle assembly includes the initial state data of the vehicle corresponding to the state of vehicle assembly on the production line; A maintenance strategy corresponding to the second maintenance instruction is generated according to the maintenance suggestion data item acquired based on the initial state data of the vehicle assembly and the maintenance suggestion data item data, and the maintenance strategy is implemented in executing the second maintenance instruction.

6. A vehicle maintenance system, characterized in that: The vehicle maintenance system comprises: a back-end service module and a front-end service module; The front-end service module is used for interacting with the vehicle entity; The backend service module is used for interacting with vehicle data; The front-end service module is communicatively connected to the back-end service module; Wherein, according to the interaction between the front-end service module and the vehicle entity, the vehicle status data is obtained and then sent; According to the interaction with vehicle data under the backend service module, the vehicle status data is received and processed, and maintenance instructions are generated and sent; The front-end service module receives and executes maintenance instructions.

7. A vehicle static inspection device, characterized in that: The vehicle static inspection device comprises: The label data module is used to set vehicle labels according to the vehicle offline; A data bundling module is used to bind the initial state data of the associated vehicle to the corresponding vehicle tag; A data retrieval module is used to transfer the vehicle to the inspection station and scan the vehicle tag to retrieve the initial status data of the vehicle; A detection data module, used for retrieving maintenance suggestion data items and maintenance suggestion data item data corresponding to the initial state data of the vehicle according to the initial state data of the vehicle; A factory standard module, used to generate a first factory standard according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle; A state judgment module, used to judge whether the vehicle state meets the first factory standard; If, the conditions are met, the vehicle will be released to the pre-sale storage location; If, it is not satisfied, then a first maintenance instruction is generated and executed; The executing the first maintenance instruction includes transferring the vehicle to a maintenance station for maintenance and executing a maintenance strategy; The transferring the vehicle to the maintenance station for maintenance and executing the maintenance strategy includes generating a maintenance strategy and executing a maintenance instruction according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle; Maintenance standard module, used to scan vehicle tags and retrieve the initial status data of vehicle assembly; The second factory standard is generated according to the maintenance suggestion data item and the maintenance suggestion data item data of the initial state data of the corresponding vehicle assembly.

8. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; A computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the vehicle static inspection method according to any one of claims 3 to 5.

9. A computer-readable storage medium, characterized in that: include: It stores a computer program that can be executed by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the vehicle static inspection method described in any one of claims 3 to 5.

10. A platform, characterized in that: include: An electronic device for implementing the steps of the vehicle static inspection method according to any one of claims 3 to 5; A processor, the processor runs a program, and when the program runs, the data output from the electronic device executes the steps of the vehicle static inspection method according to any one of claims 3 to 5; A storage medium for storing a program, which, when running, executes the steps of the vehicle static inspection method according to any one of claims 3 to 5 for data output from an electronic device.

Images