Quality monitoring method, device, electronic equipment and storage medium for automobile industry chain

Abstract

The present invention provides a quality monitoring method, device, electronic device and storage medium for the automobile industry chain, which obtains the historical fault data of the vehicle; then obtains the corresponding vehicle production link according to the historical fault data; and simultaneously obtains the test data of the vehicle production link to determine whether there is the test data that does not meet the quality inspection requirements; if there is the test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in a defective database. According to the data information in the defective database, other faults that may be caused by qualified products in the downstream production links can be checked to prevent the occurrence of faults in advance. From the perspective of the entire industry chain, the present invention realizes the pre-prevention and in-process management of automobile production quality monitoring, which can effectively improve the efficiency of vehicle quality inspection and ensure the quality of finished products of the terminal products of the production chain.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of vehicle technology, and in particular, to a quality monitoring method, device, electronic device and storage medium for an automobile industry chain. Background Art

[0002] With the improvement of people's living standards, cars have become a basic means of transportation for ordinary people. With the increasing popularity and growth of automobile consumption, complaints about cars are frequent. The main problems are concentrated in the quality of cars, such as frequent failures of major components such as engines and gearboxes in some traditional fuel vehicles, reduced mileage of new energy vehicles, and failure of intelligent assisted driving systems.

[0003] In order to control automobile quality, my country has taken many measures, mainly post-measures in the form of media supervision, such as the establishment of the China Automobile Quality Network, which focuses on the quality of automobile products and services, continuously collects and analyzes public opinions on automobile quality, establishes a complaint channel for automobile quality issues, and emphasizes the protection of consumer rights. However, there is no mature and effective pre-prevention and in-process management of automobile quality issues, and how to monitor automobile quality before sales remains to be solved. Summary of the invention

[0004] The present invention provides a quality monitoring method, device, electronic equipment and storage medium for an automobile industry chain.

[0005] In a first aspect, the present invention provides a quality monitoring method for an automobile industry chain, comprising the following steps:

[0006] Obtain vehicle historical fault data;

[0007] According to the historical fault data, obtaining the corresponding vehicle production link;

[0008] Obtaining the test data of the vehicle production process, and determining whether there is the test data that does not meet the quality inspection requirements;

[0009] If there is test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in the defective database.

[0010] Furthermore, after obtaining the unqualified product information corresponding to the test data and storing it in the defect database, it also includes:

[0011] Obtain incoming material information from downstream production links in the automotive industry chain;

[0012] According to the defect database, determining whether the unqualified product information exists in the incoming material information;

[0013] If the unqualified product information exists, a warning message is generated.

[0014] Furthermore, obtaining the corresponding vehicle production link according to the historical fault data also includes:

[0015] Calculate the product failure rate of the corresponding vehicle production link based on the historical failure data;

[0016] The product failure rates of all the vehicle production links are sorted to obtain the vehicle production link with the highest product failure rate within a preset range.

[0017] Furthermore, historical vehicle fault data is obtained, including:

[0018] Obtain vehicle historical component failure data and vehicle historical assembly failure data.

[0019] In a second aspect, the present invention further provides a quality monitoring device for an automobile industry chain, comprising:

[0020] A data acquisition module, used to acquire historical fault data of the vehicle;

[0021] A production link acquisition module, used to acquire the corresponding vehicle production link according to the historical fault data;

[0022] A quality judgment module, used to obtain the test data of the vehicle production process and determine whether there is any test data that does not meet the quality inspection requirements;

[0023] The bad data recording module is used to obtain the unqualified product information corresponding to the test data if there is the test data that does not meet the quality inspection requirements, and store it in the bad database.

[0024] Furthermore, the bad data recording module further includes:

[0025] Incoming material information acquisition unit, used to acquire incoming material information of the downstream production links of the automobile industry chain;

[0026] A defective product confirmation unit, used for judging whether the defective product information exists in the incoming material information according to the defect database;

[0027] The warning information generating unit is used to generate warning information if the unqualified product information exists.

[0028] Furthermore, the bad data recording module further includes:

[0029] A failure rate calculation unit, used to calculate the product failure rate of the corresponding vehicle production link according to the historical failure data;

[0030] The high failure rate production link acquisition unit is used to sort the product failure rates of all the vehicle production links and acquire the vehicle production link with the highest product failure rate within a preset range.

[0031] Furthermore, the data acquisition module further includes:

[0032] A component failure data acquisition unit, used to acquire historical component failure data of a vehicle;

[0033] The assembly failure data acquisition unit is used to acquire historical assembly failure data of the vehicle.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0035] at least one memory and at least one processor;

[0036] The memory is used to store one or more programs;

[0037] When the one or more programs are executed by the at least one processor, the at least one processor implements the steps of a quality monitoring method for an automobile industry chain as described in the first aspect.

[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a quality monitoring method for an automobile industry chain as described in the first aspect are implemented.

[0039] The present invention obtains the historical fault data of the vehicle; then obtains the corresponding vehicle production link based on the historical fault data; and simultaneously obtains the test data of the vehicle production link to determine whether there is the test data that does not meet the quality inspection requirements; if there is the test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in the defective database. According to the data information in the defective database, other faults that may be caused by unqualified products in the downstream production links can be checked to prevent the occurrence of faults in advance. From the perspective of the entire industrial chain, the present invention realizes the pre-prevention and in-process management of automobile production quality monitoring, which can effectively improve the efficiency of vehicle quality inspection and ensure the quality of finished products of the production chain terminal products.

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flowchart of a quality monitoring method for an automobile industry chain provided in an exemplary embodiment;

[0042] Figure 2 A module schematic diagram of a quality monitoring device for an automobile industry chain provided in an exemplary embodiment;

[0043] Figure 3 A schematic diagram of an electronic device provided in an exemplary embodiment. DETAILED DESCRIPTION

[0044] In order to make the objectives, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0045] It should be clear that the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the embodiments of the present application.

[0046] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms of "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0047] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0048] In addition, in the description of this application, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0049] like Figure 1 As shown, the embodiment of the present application provides a quality monitoring method for an automobile industry chain, including the following method steps:

[0050] S201: Obtain historical vehicle fault data.

[0051] Specifically, obtain the historical vehicle parts failure data and the historical vehicle assembly failure data. Automobile quality failures are usually caused by failures of the parts themselves and assembly failures caused by the assembly process. Therefore, whether it is the manufacturer's own production process or the after-sales process, a large amount of failure data will be accumulated to facilitate maintenance and improvement. Therefore, the failure data can be read directly from the third-party platform; the corresponding failure data can also be obtained from the third-party platform, and a failure database is established after aggregation. The failure database includes all historical failure data of the entire production chain of a specific model. For different models, other special failure databases are established to correspond to the production chain of the model.

[0052] S202: Acquire corresponding vehicle production links according to the historical fault data.

[0053] Historical failure data includes defective parts and unqualified assembly data. Depending on the cause of the failure, each corresponds to one or more vehicle production links. When enough sample data is accumulated, the historical failure data can show the vehicle production link where the failure data occurs.

[0054] In a preferred embodiment, the product failure rate of the corresponding vehicle production link is calculated based on the historical failure data; the product failure rates of all the vehicle production links are sorted to obtain the vehicle production link with the highest product failure rate within a preset range.

[0055] Specifically, there are many reasons for automobile failures, and the corresponding production links may be large in number. If all vehicle production links that cause failure data are monitored, the manpower workload and data statistics will be very large and complicated. Therefore, in order to improve the monitoring efficiency while ensuring accurate positioning of the monitoring range, it is chosen to sort the product failure rates of the vehicle production links. The product failure rate of the vehicle production link is obtained by calculating the ratio of the number of product failure data in the vehicle production link to the total output of the vehicle production link. Sort the product failure rates of all vehicle production links after calculation, and select the relevant vehicle production links with higher product failure rates for subsequent quality monitoring steps. For example, it can be preset to obtain relevant vehicle production links with product failure rates in the top 20% for quality monitoring.

[0056] According to practical experience, the probability of failure in different vehicle production links is different. In general, most of the failures at the end of the vehicle production chain do not run through the entire production chain, but are concentrated in a few production links. For different models, if you want to ensure that the preset range of product failure rate is within a reasonable range, you should count the failure rate of all production links in the production chain of the model and adjust it according to the actual situation. In a specific example, suppose that according to statistics, there are 100 production links with failures in the production chain of a certain model, among which the product failure rate of link A is 30%, the product failure rate of link B is 20%, the product failure rate of link C is 15%, the product failure rate of link D is 13%, and the product failure rate of link E is 10%; from the above, it can be seen that the product failure rate of the five links A, B, C, D, and E has exceeded 80%, and the other 95 types of failures are less than 20%. At this time, if the preset fixed monitoring range is directly used, the monitoring range may be expanded, and some production links with relatively low product failures will be included in the monitoring range, which will waste human resources to a certain extent and reduce the efficiency of quality monitoring. Therefore, for the above example, quality monitoring can be limited to the relevant vehicle production links with failure rates in the top 5%. This will not only concentrate quality monitoring of the automobile production chain on links with high failure rates, but also improve quality monitoring efficiency.

[0057] S203: Acquire the test data of the vehicle production process and determine whether there is any test data that does not meet the quality inspection requirements.

[0058] Since the entire process of automobile production has high requirements for production quality, a large number of performance tests are included in the production and subsequent assembly of automobile parts, and relevant test data are saved. Therefore, the existing test data of the vehicle production process can be retrieved to judge whether the quality is qualified or not based on the existing test data. If there is no relevant test data, the data on the production line can be directly collected in real time as test data. If no test data that does not meet the quality inspection requirements is found after testing according to the specified quality qualification index data, the qualified test data will be backed up and stored to facilitate quick troubleshooting in the future.

[0059] S204: If there is the test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in the defective database.

[0060] Specifically, the defective parts or assembly parts are identified, and their defective data are stored in a defective database; wherein each defective part or assembly part is assigned an identity ID as an identifier to facilitate quick search in the defective database.

[0061] In a preferred embodiment, in the subsequent production links, problems that may cause downstream production failures due to unqualified products should also be pre-checked. Specifically, the incoming material information of the downstream production link of the automobile industry chain is obtained; according to the defect database, it is determined whether the unqualified product information exists in the incoming material information; if the unqualified product information exists, a warning message is generated. The warning information includes but is not limited to: defective, once tested defective but retested after repair, and reminder to replace, etc.

[0062] In a preferred embodiment, as the test data increases, the historical component failure data and historical assembly failure data are also updated, so the database storing the relevant data should be updated in a timely manner. At the same time, a data encryption algorithm module should be set for the relevant database to prevent the data from being tampered with.

[0063] In a preferred embodiment, if the failure rate of a certain production link is continuously monitored to be high, for example, if the failure rate is set to be continuously higher than 5-10%, a shutdown inspection warning message is issued to instruct relevant staff to troubleshoot the problem in the production link, starting from fundamental issues such as raw materials and design to avoid recurrence of failures.

[0064] The embodiment of the present application provides a quality monitoring method for the automobile industry chain, which obtains the historical fault data of the vehicle; then obtains the corresponding vehicle production link based on the historical fault data; and simultaneously obtains the test data of the vehicle production link to determine whether there is the test data that does not meet the quality inspection requirements; if there is the test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in the defective database. Based on the data information in the defective database, other faults that may be caused by unqualified products in the downstream production links can be checked to prevent the occurrence of faults in advance. The embodiment of the present application realizes the pre-prevention and in-process management of automobile production quality monitoring from the perspective of the entire industry chain, which can effectively improve the efficiency of vehicle quality inspection and ensure the quality of finished products of the terminal products of the production chain.

[0065] The present application also provides a quality monitoring device 300 for an automobile industry chain, such as Figure 3 As shown, including:

[0066] The data acquisition module 301 is used to acquire the historical fault data of the vehicle;

[0067] A production link acquisition module 302 is used to acquire the corresponding vehicle production link according to the historical fault data;

[0068] The quality judgment module 303 is used to obtain the test data of the vehicle production process and determine whether there is any test data that does not meet the quality inspection requirements;

[0069] The bad data recording module 304 is used to obtain the unqualified product information corresponding to the test data if there is the test data that does not meet the quality inspection requirements, and store it in the bad database.

[0070] In an exemplary embodiment, the bad data recording module 304 further includes:

[0071] A data acquisition module, used to acquire historical fault data of the vehicle;

[0072] A production link acquisition module, used to acquire the corresponding vehicle production link according to the historical fault data;

[0073] A quality judgment module, used to obtain the test data of the vehicle production process and determine whether there is any test data that does not meet the quality inspection requirements;

[0074] The bad data recording module is used to obtain the unqualified product information corresponding to the test data if there is the test data that does not meet the quality inspection requirements, and store it in the bad database.

[0075] In an exemplary embodiment, the bad data recording module 304 further includes:

[0076] A failure rate calculation unit, used to calculate the product failure rate of the corresponding vehicle production link according to the historical failure data;

[0077] The high failure rate production link acquisition unit is used to sort the product failure rates of all the vehicle production links and acquire the vehicle production link with the highest product failure rate within a preset range.

[0078] In an illustrative example, the data acquisition module 301 further includes:

[0079] A component failure data acquisition unit, used to acquire historical component failure data of a vehicle;

[0080] The assembly failure data acquisition unit is used to acquire historical assembly failure data of the vehicle.

[0081] It should be noted that the quality monitoring device for an automobile industry chain and the quality monitoring method for an automobile industry chain provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0082] like Figure 3 As shown, Figure 3 It is a structural block diagram of an electronic device shown according to an exemplary embodiment of the present application.

[0083] The electronic device includes a processor 910 and a memory 920. The number of processors 910 in the main control chip can be one or more. Figure 3 A processor 910 is taken as an example. The number of memories 920 in the main control chip can be one or more. Figure 3 A memory 920 is taken as an example.

[0084] The memory 920, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as a quality monitoring method program for an automobile industry chain described in any embodiment of the present application, and a program instruction / module corresponding to a quality monitoring method for an automobile industry chain described in any embodiment of the present application. The memory 920 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created according to the use of the device, etc. In addition, the memory 920 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 920 may further include a memory remotely arranged relative to the processor 910, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0085] The processor 910 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 920, that is, implements a quality monitoring method for the automotive industry chain recorded in any of the above embodiments.

[0086] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, a quality monitoring method for an automobile industry chain as described in any one of the above embodiments is implemented.

[0087] The present invention may take the form of a computer program product implemented on one or more storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. Computer-readable storage media include permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0088] It should be understood that the embodiments of the present application are not limited to the precise structures described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the embodiments of the present application is limited only by the appended claims.

[0089] The above-mentioned embodiments only express several implementation methods of the embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the embodiments of the present application, and these all belong to the protection scope of the embodiments of the present application.

Claims

1. A quality monitoring method for an automobile industry chain, characterized in that: The steps include: Obtain vehicle historical fault data; According to the historical fault data, obtaining the corresponding vehicle production link; Obtaining the test data of the vehicle production process, and determining whether there is the test data that does not meet the quality inspection requirements; If there is any test data that does not meet the quality inspection requirements, the unqualified product information corresponding to the test data is obtained and stored in the defect database; After obtaining the unqualified product information corresponding to the test data and storing it in the defect database, it also includes: Obtain incoming material information from downstream production links in the automotive industry chain; According to the defect database, determining whether the unqualified product information exists in the incoming material information; If the unqualified product information exists, a warning message is generated; According to the historical fault data, obtaining the corresponding vehicle production link also includes: Calculate the product failure rate of the corresponding vehicle production link based on the historical failure data; Sorting the product failure rates of all the vehicle production links to obtain the vehicle production link with the highest product failure rate within a preset range; sorting the calculated product failure rates of all vehicle production links, and selecting the relevant vehicle production links with higher product failure rates for subsequent quality monitoring; Obtain vehicle historical fault data, including: Obtain vehicle historical component failure data and vehicle historical assembly failure data.

2. A quality monitoring device for the automotive industry chain, characterized in that: include: A data acquisition module, used to acquire historical fault data of the vehicle; A production link acquisition module, used to acquire the corresponding vehicle production link according to the historical fault data; A quality judgment module, used to obtain the test data of the vehicle production process and determine whether there is any test data that does not meet the quality inspection requirements; A defective data recording module is used to obtain the defective product information corresponding to the test data if there is the test data that does not meet the quality inspection requirements, and store it in the defective database; The bad data recording module further includes: Incoming material information acquisition unit, used to acquire incoming material information of the downstream production links of the automobile industry chain; A defective product confirmation unit, used for judging whether the defective product information exists in the incoming material information according to the defect database; A warning information generating unit, configured to generate a warning information if the unqualified product information exists; The bad data recording module further includes: A failure rate calculation unit, used to calculate the product failure rate of the corresponding vehicle production link according to the historical failure data; A high failure rate production link acquisition unit, used for sorting the product failure rates of all the vehicle production links, and acquiring the vehicle production link with the highest product failure rate within a preset range; The data acquisition module further includes: A component failure data acquisition unit, used to acquire historical component failure data of a vehicle; The assembly failure data acquisition unit is used to acquire historical assembly failure data of the vehicle.

3. An electronic device, characterized in that: include: at least one memory and at least one processor; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the at least one processor implements the steps of the quality monitoring method for the automobile industry chain as claimed in claim 1.

4. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the quality monitoring method for an automobile industry chain as claimed in claim 1 are implemented.

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