Data management methods, systems and storage media

By generating a parts tree and inspection plan, the problem of scattered and chaotic management of parts data in traditional data management systems has been solved. Real-time updates and management of parts dimension data have been achieved, the latest dimension data reports have been generated, and management efficiency has been improved.

CN114841552BActive Publication Date: 2025-10-31FAW JIEFANG AUTOMOTIVE CO
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Patent Information

Application Number
CN202210452363.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-27
Publication Date
2025-10-31
Estimated Expiration
2042-04-27

AI Technical Summary

Technical Problem

Traditional vehicle parts data management systems are inefficient, resulting in fragmented data, chaotic management, and an inability to provide complete and consistent data reports.

Method used

By generating a parts tree and developing an inspection plan, the latest dimensional data of each component is obtained, and a unified data management system is established to achieve real-time data updates and management.

Benefits of technology

It ensures that the latest status of component size data is maintained, generates complete size data reports, and improves management efficiency and data consistency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This application relates to a data management method for managing the dimensional data of parts from different vehicle models. The method includes: generating a parts tree for any vehicle model; generating an inspection plan for any of the parts based on the parts tree; obtaining the dimensional data information corresponding to the parts based on the inspection plan; and generating a dimensional data report for the parts based on the dimensional data information. In the above data management method, by establishing a parts tree for all parts of the same vehicle model for unified management, and then formulating individual inspection plans for each part, the latest dimensional data information of each part in the current production and manufacturing stage is obtained based on the corresponding inspection plan. The data management method in the above embodiment can obtain the latest and most complete dimensional data report of the parts, effectively solving the problems of scattered, chaotic, and inefficient parts data management in traditional data management systems.
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Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a data management method, system and storage medium. Background Technology

[0002] With the continuous increase in car models and production volume, traditional methods for collecting, managing, and analyzing vehicle component data can no longer meet the needs of the rapid development and lean management of the automotive industry. In addition, due to the variety of car models, the dispersed production locations, and the lack of data sharing among subsidiaries, traditional work platforms provide independent feedback information at different levels. This isolated measurement data management solution is prone to information loss and cannot meet the management efficiency requirements. There is no unified management system for automotive component data, making it impossible to provide complete, effective, and consistent data reports in real time. Summary of the Invention

[0003] Therefore, it is necessary to provide a data management method, system, and storage medium to address the aforementioned technical problems and solve the inefficiency of traditional automotive data management systems.

[0004] This application provides a data management method for managing the dimensional data of parts from different vehicle models, the method comprising:

[0005] Generate the parts tree for any vehicle model;

[0006] Generate an inspection plan for any of the components based on the component tree;

[0007] According to the inspection plan, obtain the dimensional data information corresponding to the component, and generate a dimensional data report of the component based on the dimensional data information.

[0008] In the data management method described in the above embodiments, a parts tree is established for unified management of all parts of the same vehicle model. Then, a separate inspection plan is formulated for each part. Based on the corresponding inspection plan, the latest dimensional data information of each part in the current production and manufacturing process is obtained. The data sources include all links in the automotive industry chain, such as OEMs, related subsidiaries, and outsourcing manufacturers, to ensure that the dimensional data of the parts can always be kept up-to-date with the latest technology. The data management method in the above embodiments can obtain the latest and most complete part dimensional data report, effectively solving the problems of scattered part data, chaotic management, and low efficiency in traditional data management systems.

[0009] Optionally, the step of generating a parts tree for any vehicle model includes:

[0010] Obtain the parts tree generation instruction;

[0011] In response to the part tree generation instruction, the part tree is generated according to the model number of any of the vehicle models.

[0012] Optionally, the inspection plan can be generated by creating a new plan or by importing an existing plan; when the inspection plan is generated by creating a new plan, the step of generating an inspection plan for any of the components includes:

[0013] Determine the operation type of the inspection plan; the operation type includes design inspection or process inspection.

[0014] If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes a preferred design inspection plan, then the preferred design inspection plan is regenerated.

[0015] If the preferred design inspection plan is not included in the existing design inspection plan for the component, generate the preferred design inspection plan;

[0016] If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes a preferred process inspection plan, then the preferred process inspection plan is regenerated.

[0017] If the preferred process inspection plan is not included in the existing process inspection plan for the component, the preferred process inspection plan is generated.

[0018] In the data management method described in the above embodiments, when a new part size inspection plan needs to be created, whether in the design stage or the manufacturing stage, the newly created inspection plan is the preferred inspection plan and overrides the original inspection plan by default, so that the part size data status is updated to the latest status.

[0019] Optionally, when the inspection plan is generated by importing, the step of generating an inspection plan for any of the components includes:

[0020] Determine the operation type of the inspection plan;

[0021] If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes the preferred design inspection plan, then the design inspection plan is directly imported.

[0022] If the preferred design inspection plan is not included in the existing design inspection plan for the component, import the preferred design inspection plan.

[0023] If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes the preferred process inspection plan, then the process inspection plan is directly imported.

[0024] If the preferred process inspection plan is not included in the existing process inspection plan for the component, import the preferred process inspection plan.

[0025] In the data management method described in the above embodiments, when selecting to import an existing component dimension inspection plan from an external source, whether in the design stage or the manufacturing stage, if the original inspection plan includes the highest priority preferred inspection plan, the existing component dimension inspection plan is automatically listed as a non-preferred option for import. However, if the original inspection plan does not include the preferred inspection plan, the externally imported existing component dimension inspection plan is automatically listed as the preferred inspection plan, so that the component dimension data status is updated to the latest status.

[0026] Optionally, the dimensional data information includes at least one of the following: dimensional number, dimensional name, dimensional description, region, dimensional type, dimensional standard value, upper and lower tolerances, upper and lower limits, caliper reference value, caliper upper tolerance, and caliper lower tolerance.

[0027] Optionally, the step of obtaining the dimensional data information corresponding to the component according to the inspection plan includes:

[0028] A measurement page is generated based on the component information; wherein, the component information includes at least one of vehicle model, part number, and part name;

[0029] A task for acquiring size data information is established based on the measurement page;

[0030] The dimensional data information is acquired according to the dimensional data information acquisition task in a preset manner and imported into the measurement page; wherein, the preset manner includes at least one of the following: data output by the measuring device, data imported manually from Excel, and data collected by the mobile client.

[0031] Optionally, the step of generating the dimension data report of the component includes:

[0032] The quality assessment index parameters of the component are calculated based on the dimensional data of the component; the quality assessment index parameters include at least one of the following: pass rate, quality continuous improvement index, and measurement frequency.

[0033] Generate a line graph of the pass rate of the aforementioned components based on the pass rate of several of the components;

[0034] Calculate the difference between the pass rate line graph of the component and the manufacturing comprehensive error index, and generate the dimensional data report.

[0035] A second aspect of this application provides a data management system, including a data acquisition module, a data management module, and a data analysis module. The data acquisition module is used to acquire dimensional data information of parts. The data management module is connected to the data acquisition module and is used to generate a parts tree based on the model number of any vehicle type, and to generate an inspection plan for any of the parts based on the parts tree; and / or to establish a dimensional data acquisition task based on the parts information to control the data acquisition module to acquire the dimensional data information of the parts. The data analysis module is connected to the data acquisition module and is used to perform data analysis based on the dimensional data information of the parts and generate a dimensional data report of the parts.

[0036] In the data management system described in the above embodiments, a parts tree is established for unified management of vehicle components by setting up a data management module. An inspection plan is set for each component, and a data acquisition task is generated according to the inspection plan. Then, the dimensional data information of the components is acquired in real time by the data acquisition module. The data acquisition channel of the data acquisition module achieves full coverage of all links in the supply chain, including the OEM, related subsidiaries or branches, and external manufacturers, to ensure that the most effective component dimensional data is obtained. The acquired component dimensional data fills the inspection plan corresponding to each component, and finally generates a complete and effective vehicle component dimensional information tree. The component dimensional data report of this vehicle model is output through the vehicle component dimensional information tree, ensuring that the dimensional data of each component is the latest and most effective version in each design and production stage, making the management of vehicle components more systematic and optimized, and improving work efficiency.

[0037] Optionally, the data management system further includes a parts tree generation instruction acquisition module connected to the data management module, used to acquire parts tree generation instructions to control the data management module to generate the parts tree according to the model of any vehicle.

[0038] A third aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the foregoing embodiments. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart illustrating a data management method in one embodiment provided in this application;

[0041] Figure 2 A flowchart illustrating step 22 provided for this application;

[0042] Figure 3 A flowchart illustrating step 24 provided for this application;

[0043] Figure 4 The flowchart provided for step 24 of this application also includes a schematic diagram;

[0044] Figure 5 A flowchart illustrating step 26 provided for this application;

[0045] Figure 6 The flowchart provided for step 26 of this application also includes the following;

[0046] Figure 7 A schematic diagram of the structure of a data management system provided in one embodiment of this application. Detailed Implementation

[0047] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings, which illustrate embodiments of the present application. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of this application will be thorough and complete.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0049] It is understood that the terms “first,” “second,” etc., used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.

[0050] It should be noted that when one element is considered to be "connected" to another element, it can be directly connected to the other element or connected to the other element through an intermediary element. Furthermore, in the following embodiments, "connection" should be understood as "electrical connection," "communication connection," etc., if there is transmission of electrical signals or data between the connected objects.

[0051] When used herein, the singular forms of “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising,” “including,” or “having,” etc., specify the presence of the stated feature, whole, step, operation, component, part, or combination thereof, but do not preclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof.

[0052] With the increasing variety of automotive product models, the inefficient management of vehicle parts databases is becoming increasingly unable to meet production requirements. In order to improve the dimensional accuracy management level of commercial vehicles and their parts, and to strengthen business process management through information technology, it is necessary to provide a data management method, system, and storage medium to solve the problem of low efficiency in traditional automotive data management systems. This will be explained below with specific implementation examples.

[0053] In one embodiment of this application, such as Figure 1 As shown, a data management method is provided for managing the dimensional data of parts from different vehicle models. The method includes:

[0054] Step 22: Generate the parts tree for any vehicle model;

[0055] The parts tree for any vehicle model includes all self-made parts and outsourced parts.

[0056] Step 24: Generate an inspection plan for any of the components based on the component tree;

[0057] Specifically, for any component in the component tree, a corresponding inspection plan is generated based on the component type. The inspection plan includes component size groups, and the size groups include detailed size data information.

[0058] Step 26: Obtain the dimensional data information corresponding to the component according to the inspection plan, and generate a dimensional data report of the component based on the dimensional data information.

[0059] In the data management method described in the above embodiments, a parts tree is established for unified management of all parts of the same vehicle model. Then, a separate inspection plan is formulated for each part. Based on the corresponding inspection plan, the latest dimensional data information of each part in the current production and manufacturing process is obtained. The data sources include all links in the automotive industry chain, such as OEMs, related subsidiaries, and outsourcing manufacturers, to ensure that the dimensional data of the parts can always be kept up-to-date with the latest technology. The data management method in the above embodiments can obtain the latest and most complete part dimensional data report, effectively solving the problems of scattered part data, chaotic management, and low efficiency in traditional data management systems.

[0060] As an example, such as Figure 2 As shown, step 22, the step of generating a parts tree for any vehicle model, includes:

[0061] Step 222: Obtain the parts tree generation instruction;

[0062] Step 224: In response to the part tree generation instruction, generate the part tree according to the model number of any vehicle model.

[0063] As an example, such as Figure 3 As shown, the inspection plan can be generated by creating a new plan or importing an existing plan. When the inspection plan is generated by creating a new plan, step 24, the step of generating an inspection plan for any of the components, includes:

[0064] Step 241: Determine the operation type of the inspection plan;

[0065] The operation types include design inspection or process inspection.

[0066] Step 243: If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes a preferred design inspection plan, regenerate the preferred design inspection plan.

[0067] Specifically, when a new component inspection plan is created, if the existing design inspection plan includes the highest priority preferred design inspection plan for components in the design phase, the new design inspection plan will replace the original preferred design inspection plan, and the original preferred design inspection plan will automatically become a non-preferred design inspection plan.

[0068] Step 245: If the preferred design inspection plan is not included in the existing design inspection plan for the component, generate the preferred design inspection plan;

[0069] Specifically, when creating a new component inspection plan, if the existing design inspection plan does not include the highest priority preferred design inspection plan for components in the design phase, the newly created design inspection plan will be marked as the preferred design inspection plan.

[0070] Step 247: If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes a preferred process inspection plan, regenerate the preferred process inspection plan.

[0071] Specifically, when creating a new component inspection plan, if the existing process inspection plan includes the highest priority preferred process inspection plan for components in the manufacturing process stage, the new process inspection plan will replace the original preferred process inspection plan, and the original preferred process inspection plan will automatically become a non-preferred process inspection plan.

[0072] Step 249: If the preferred process inspection plan is not included in the existing process inspection plan for the component, generate the preferred process inspection plan.

[0073] Specifically, when creating a new component inspection plan, if the existing process inspection plan does not include the highest priority preferred process inspection plan for components in the manufacturing process stage, the newly created process inspection plan is marked as the preferred process inspection plan.

[0074] As an example, such as Figure 4 As shown, when the inspection plan is generated by importing, step 24, the step of generating an inspection plan for any of the components, further includes:

[0075] Step 242: Determine the operation type of the inspection plan;

[0076] Step 244: If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes the preferred design inspection plan, then directly import the design inspection plan.

[0077] Specifically, when importing component inspection plans from external sources, if the original design inspection plan includes the highest priority preferred design inspection plan for components in the design phase, the imported design inspection plan will be automatically marked as a non-preferred design inspection plan.

[0078] Step 246: If the preferred design inspection plan is not included in the existing design inspection plan for the component, import the preferred design inspection plan;

[0079] Specifically, when importing component inspection plans from external sources, if the original design inspection plan does not include the highest priority preferred design inspection plan for components in the design phase, the imported design inspection plan will be identified as the preferred design inspection plan.

[0080] Step 248: If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes the preferred process inspection plan, then the process inspection plan is directly imported.

[0081] Specifically, when importing a component inspection plan from an external source, if the original process inspection plan includes the highest priority preferred process inspection plan for components in the manufacturing process stage, the imported process inspection plan will be automatically identified as a non-preferred process inspection plan.

[0082] Step 2410: If the preferred process inspection plan is not included in the existing process inspection plan for the component, import the preferred process inspection plan.

[0083] Specifically, when importing a component inspection plan from an external source, if the original process inspection plan does not include the highest priority preferred process inspection plan for components in the manufacturing process stage, the imported process inspection plan will be identified as the preferred process inspection plan.

[0084] Furthermore, the dimensional data information includes at least one of the following: dimensional number, dimensional name, dimensional description, region, dimensional type, dimensional standard value, upper and lower tolerances, upper and lower limits, caliper reference value, caliper upper tolerance, and caliper lower tolerance.

[0085] As an example, such as Figure 5 As shown, step 26, the step of obtaining the dimensional data information corresponding to the component according to the inspection plan, includes:

[0086] Step 262: Generate a measurement page based on the component information;

[0087] The component information includes at least one of vehicle model, part number, and part name. After obtaining the component inspection plan, as an example, you can click to enter the inspection plan and generate a dimension measurement page, which includes fields for filling in dimension data information.

[0088] Step 264: Establish a size data information acquisition task based on the measurement page;

[0089] Specifically, compared to the traditional method of publishing measurement tasks offline, the method in this embodiment adds the function of publishing measurement tasks on the measurement management platform, which can publish measurement tasks online, optimize measurement management, and improve work efficiency.

[0090] Step 266: Obtain the size data information in a preset manner according to the size data information acquisition task, and import it into the measurement page.

[0091] The preset methods include at least one of the following: data output from measuring equipment, data imported manually from Excel, and data collected by a mobile client. For example, the measuring equipment outputs an editable measurement report, such as XLS / XLSX / DFQ / DMO / TXT, etc. The measurement report is converted into a unified format using a "data conversion format tool," and then the data is uploaded to the database via a wired network. Alternatively, data can be imported manually from Excel by manually filling it out and then directly uploading it to the database. The system's batch import function can then import the data into the database, improving the efficiency of measurement data entry. The data table import function has error correction and fault tolerance capabilities. During the data import process, if import anomalies are caused by missing data table content, clear reminders should be given, such as the number of rows or columns in the problematic Excel table, to ensure that users can quickly locate the problem in the Excel table. Another example is data collected by a mobile client, where the surveyor uses a measuring tool to measure and records the data on the acquisition client, and then uploads it to the database in an environment with a wireless network.

[0092] Specifically, the system creates a dimensional data acquisition task based on the data items that need to be filled in the measurement page, and retrieves data from the databases of upstream and downstream enterprises in the industry chain. For example, it can extract the latest design or process data from OEMs or subcontractors, or retrieve real-time data of existing parts from different suppliers and subsidiaries. All data reading permissions are configured by the OEM, which can uniformly view and manage various data from suppliers or outsourced factories. After the data is uploaded, the measurement results can be queried using vehicle model, part number, part name, or inspection date as filter conditions.

[0093] As an example, such as Figure 6 As shown, step 26, the step of generating the dimension data report of the component, further includes:

[0094] Step 268: Calculate the quality assessment index parameters of the component based on the component's dimensional data.

[0095] The quality assessment index parameters include at least one of the following: pass rate, continuous quality improvement index (CII index), and measurement frequency. The continuous quality improvement index (CII index) is an important quality reference index in the automotive manufacturing industry, which can quickly measure the process level of a model or even a company.

[0096] Specifically, professional data analysis software can be used to analyze and process the dimensional data of parts, such as SPC software. It utilizes the principles of mathematical statistics to achieve the effect of "prevention in advance" through the collection and analysis of inspection data, thereby effectively controlling the production process and continuously improving quality.

[0097] Step 2610: Generate a line graph of the pass rate of the components based on the pass rates of the components;

[0098] Step 2612: Calculate the difference between the pass rate line graph of the component and the continuous quality improvement index, and generate the dimensional data report.

[0099] Specifically, through the reports displayed on the system interface, users can check the pass rate of parts, rank all parts by top, and send emails to the person in charge of parts with low measurement frequency and low pass rate to issue warnings.

[0100] In one embodiment of this application, such as Figure 7 As shown, a data management system is also provided, including a data acquisition module 3000, a data management module 2000, and a data analysis module 4000. The data acquisition module 3000 is used to acquire dimensional data information of parts. The data management module 2000 is connected to the data acquisition module 3000 and is used to generate a parts tree based on the model of any vehicle, and to generate an inspection plan for any of the parts based on the parts tree; and / or to establish a dimensional data acquisition task based on the parts information to control the data acquisition module 3000 to acquire the dimensional data information of the parts. The data analysis module 4000 is connected to the data acquisition module 3000 and is used to perform data analysis based on the dimensional data information of the parts and generate a dimensional data report of the parts.

[0101] In the data management system described in the above embodiments, a parts tree is established for the whole vehicle components by setting up a data management module 2000 for unified management. An inspection plan is set for each component, and a data acquisition task is generated according to the inspection plan. Then, the dimensional data information of the components is acquired in real time by the data acquisition module 3000. The data acquisition channels of the data acquisition module 3000 achieve full coverage of all links in the supply chain, including the OEM, related subsidiaries or branches, and external manufacturers, to ensure that the most effective component dimensional data is obtained. The acquired component dimensional data fills the inspection plan corresponding to each component, and finally generates a complete and effective whole vehicle component dimensional information tree. The component dimensional data report of this whole vehicle component dimensional information tree is output, ensuring that the dimensional data of each component is the latest and most effective version in each design and production stage, making the management of whole vehicle components more systematic and optimized, and improving work efficiency.

[0102] As an example, please continue to refer to Figure 7 The data management system also includes a parts tree generation instruction acquisition module 1000, which is connected to the data management module 2000 and is used to acquire parts tree generation instructions to control the data management module 2000 to generate the parts tree according to the model of any vehicle.

[0103] In one embodiment of this application, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in any of the foregoing embodiments.

[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0105] In the description of this specification, references to terms such as "some embodiments," "other embodiments," and "ideal embodiments" indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative descriptions of the above terms do not necessarily refer to the same embodiments or examples.

[0106] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A data management method, characterized in that, The method for managing dimensional data of parts for different vehicle models includes: Obtain a parts tree generation instruction, and in response to the parts tree generation instruction, generate the parts tree according to the model of any vehicle model; An inspection plan for any of the components is generated based on the component tree, wherein the inspection plan is generated by creating a new one or importing an existing one. According to the inspection plan, obtain the dimensional data information corresponding to the component, and generate a dimensional data report of the component based on the dimensional data information; Wherein, when the inspection plan is generated as a new project, the step of generating an inspection plan for any of the components includes: Determine the operation type of the inspection plan; the operation type includes design inspection or process inspection. If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes a preferred design inspection plan, then the preferred design inspection plan is regenerated. If the preferred design inspection plan is not included in the existing design inspection plan for the component, generate the preferred design inspection plan; If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes a preferred process inspection plan, then the preferred process inspection plan is regenerated. If the preferred process inspection plan is not included in the existing process inspection plan for the component, generate the preferred process inspection plan; When the inspection plan is generated by importing, the step of generating an inspection plan for any of the components includes: Determine the operation type of the inspection plan; If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes the preferred design inspection plan, then the design inspection plan is directly imported. If the preferred design inspection plan is not included in the existing design inspection plan for the component, import the preferred design inspection plan. If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes the preferred process inspection plan, then the process inspection plan is directly imported. If the preferred process inspection plan is not included in the existing process inspection plan for the component, import the preferred process inspection plan; The step of obtaining the dimensional data information corresponding to the component according to the inspection plan includes: A measurement page is generated based on the component information; wherein, the component information includes at least one of vehicle model, part number, and part name; A task for acquiring size data information is established based on the measurement page; The dimensional data information is acquired according to the dimensional data information acquisition task in a preset manner and imported into the measurement page; wherein, the preset manner includes at least one of the following: data output by the measuring device, data imported manually from Excel, and data collected by the mobile client.

2. The method according to claim 1, characterized in that, The dimensional data information includes at least one of the following: dimensional number, dimensional name, dimensional description, region, dimensional type, dimensional standard value, upper and lower tolerances, upper and lower limits, caliper reference value, caliper upper tolerance, and caliper lower tolerance.

3. The method according to claim 1, characterized in that, The step of generating the dimension data report of the component includes: The quality assessment index parameters of the component are calculated based on the dimensional data of the component; the quality assessment index parameters include at least one of the following: pass rate, quality continuous improvement index, and measurement frequency. Generate a line graph of the pass rate of the aforementioned components based on the pass rate of several of the components; Calculate the difference between the pass rate line graph of the component and the comprehensive manufacturing error index, and generate the dimensional data report.

4. A data management system, characterized in that, include: The data acquisition module is used to acquire dimensional data of the parts; The data management module, connected to the data acquisition module, is used to generate a parts tree based on the model of any vehicle, and to generate an inspection plan for any of the parts based on the parts tree; And / or establish a dimensional data information acquisition task based on the component information, so as to control the data acquisition module to acquire the dimensional data information of the component; A data analysis module, connected to the data acquisition module, is used to perform data analysis based on the dimensional data information of the parts and generate a dimensional data report of the parts. The test plan can be generated by creating a new one or importing it. When the inspection plan is generated as a new project, generating an inspection plan for any of the components includes: Determine the operation type of the inspection plan; the operation type includes design inspection or process inspection. If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes a preferred design inspection plan, then the preferred design inspection plan is regenerated. If the preferred design inspection plan is not included in the existing design inspection plan for the component, generate the preferred design inspection plan; If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes a preferred process inspection plan, then the preferred process inspection plan is regenerated. If the preferred process inspection plan is not included in the existing process inspection plan for the component, generate the preferred process inspection plan; When the inspection plan is generated by importing, generating an inspection plan for any of the components includes: Determine the operation type of the inspection plan; If the operation type of the inspection plan is the design inspection, and the existing design inspection plan for the component includes the preferred design inspection plan, then the design inspection plan is directly imported. If the preferred design inspection plan is not included in the existing design inspection plan for the component, import the preferred design inspection plan. If the operation type of the inspection plan is the process inspection, and the existing process inspection plan for the component includes the preferred process inspection plan, then the process inspection plan is directly imported. If the preferred process inspection plan is not included in the existing process inspection plan for the component, import the preferred process inspection plan; The step of obtaining the dimensional data information corresponding to the component according to the inspection plan includes: A measurement page is generated based on the component information; wherein, the component information includes at least one of vehicle model, part number, and part name; A task for acquiring size data information is established based on the measurement page; The dimensional data information is acquired according to the dimensional data information acquisition task in a preset manner and imported into the measurement page; wherein, the preset manner includes at least one of the following: data output by the measuring device, data imported manually from Excel, and data collected by the mobile client.

5. The system according to claim 4, characterized in that, Also includes: The parts tree generation instruction acquisition module is connected to the data management module and is used to acquire parts tree generation instructions to control the data management module to generate the parts tree according to the model of any vehicle.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method described in any one of claims 1-3.

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