Automobile assembly part parameter automatic endowing method, device and equipment and storage medium

Abstract

The invention discloses an automobile assembly part parameter automatic endowing method and device, equipment and a storage medium, accurate endowing of automobile assembly part parameters is realized through an automatic process, and on the basis of preset rules and cross-system data collaboration, various kinds of production-related notification data published in a bill of materials system are firstly obtained; the notification data is analyzed in a targeted mode according to a preset analysis rule, parameter objects matched with the part types are automatically generated and archived according to preset classification, parameter object version management is executed based on the material version state, whether the parameter objects need to be updated or not is determined, and version chaos is avoided; the parameter request of the production execution system is subsequently responded, precise parameter expansion is performed on the parameter object according to the preset expansion rule, finally the expanded part parameters are transmitted to the production execution system, and automatic parameter endowing can be completed without manual intervention in the whole process. And the parameter generation and maintenance efficiency is effectively improved so as to adapt to multi-vehicle-type and high-frequency production requirements.

Description

Technical Field

[0001] This application relates to the field of automobile manufacturing, specifically to a method, apparatus, equipment, and storage medium for automatically assigning parameters to automobile assembly parts. Background Technology

[0002] As the automotive industry upgrades towards intelligence and connectivity, the pace of new model iterations is accelerating, and the types and specifications of parts involved in the automotive assembly process are continuously increasing. This places higher demands on the accuracy, matching efficiency, and cross-system transmission consistency of assembly parameters (such as filling amount, tightening torque, etc.).

[0003] In related technologies, parameter management of automotive assembly parts often relies on manual parsing of production notices, manual maintenance of parameter data, or basic parameter queries through simple system storage. The generation, version update, and transmission of parameters to the Manufacturing Execution System (MES) require manual intervention.

[0004] However, firstly, manual parameter analysis and maintenance are inefficient and difficult to adapt to the production needs of multiple vehicle models and high frequency; secondly, parameter version management lacks unified rules, and parameter omissions or incorrect updates are prone to occur after material version upgrades; thirdly, the data transfer between the process management system (CAPP), bill of materials system (BOM), and production execution system (MES) lacks automated logic, resulting in low parameter matching accuracy, which can easily lead to assembly process errors and affect production quality and efficiency. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, and storage medium for automatically assigning parameters to automotive assembly parts, which can solve the technical problems of low efficiency in generating and maintaining assembly parameters, non-standard version management, and insufficient accuracy caused by the lack of automation in cross-system data transfer in related technologies.

[0006] In a first aspect, embodiments of this application provide a method for automatically assigning parameters to automotive assembly parts, the method comprising: Retrieve data on various production-related notices published in the bill of materials system; The notification data is parsed according to preset parsing rules to generate corresponding type of part parameter objects, and then archived according to preset categories. Version management is performed on the parameter object, and the material version status is used to determine whether to update the parameter object version. In response to parameter requests from the production execution system, the parameter object is expanded based on preset expansion rules; The unfolded part parameters are transferred to the production execution system, and the parameters are automatically assigned.

[0007] In conjunction with the first aspect, in one implementation, acquiring data on various production-related notices published in the bill of materials system includes: The process management system uses scheduled tasks to scan the preparation notices, internal and external manufacturing notices, and production start-up notices that have been issued in the bill of materials system. Extract the part identification, material version, and vehicle model related data contained in the notification to form a dataset to be parsed.

[0008] In conjunction with the first aspect, in one implementation, the step of parsing the notification data according to preset parsing rules to generate corresponding type of part parameter objects, and archiving them according to preset categories, includes: A preset parameter classification system is used to divide part parameters into injection-related parameters and torque-related parameters, and corresponding parsing rules are configured for each type of parameter. Based on the feature information of the part identifier, match the corresponding parsing rules to generate the corresponding parameter object; The initially generated parameter objects are archived in the incomplete directory, and automatically archived in the completed directory after the parameters are maintained.

[0009] In conjunction with the first aspect, in one implementation, the step of performing version management on the parameter object and determining whether to update the parameter object version based on the material version status includes: For parameters related to refilling, if the corresponding parameters for the same part already exist in the system, there is no need to create a new version; For torque parameter objects, if the corresponding parameter already exists in the system and the material version in the notification has been upgraded, a new version parameter object is created and inherits the old version parameter data. Maintain and update the new version parameter objects according to actual needs, and archive them to the completed directory after completion.

[0010] In conjunction with the first aspect, in one implementation, the step of responding to a parameter request from the production execution system and expanding the parameter object based on a preset expansion rule includes: Receive parameter requests sent by the production execution system, the requests including vehicle model identification and bill of materials validity information; Obtain the corresponding material structure data based on the vehicle model identification and the validity period of the bill of materials; For refueling parameter objects, parameters are expanded according to preset rules, and missing auxiliary material information is automatically filled in; For torque-type parameter objects, a tightening check is performed first. If the check passes, the parameters are expanded according to preset rules.

[0011] In conjunction with the first aspect, in one implementation, for torque-type parameter objects, a tightening determination is first performed, and after the determination passes, the parameters are expanded according to preset rules, including: Preset tightening judgment conditions corresponding to various torque parameters, the conditions being set based on part identification, block features, part name, or part quantity; Based on the material structure data, verify the tightening judgment conditions corresponding to the torque parameters and output the judgment result; If the determination result is yes, the torque parameter expansion is completed by matching the data in the standard parameter library based on the preset rules; if the determination result is no, the torque parameter expansion is not performed.

[0012] In conjunction with the first aspect, in one implementation, the step of transferring the unfolded part parameters to the production execution system to complete the automatic parameter assignment includes: The bill of materials system is used to determine the precise material view corresponding to the vehicle model; The process management system provides preset process parameter regression rules, which are then calculated by the bill of materials system in conjunction with the accurate material view and the regression rules. The calculated unfolding parameters are transmitted to the production execution system to guide the car assembly operation.

[0013] Secondly, embodiments of this application provide an automatic parameter assignment device for automotive assembly parts, the automatic parameter assignment device for automotive assembly parts comprising: The data acquisition module is used to acquire data on various production-related notices that have been published in the bill of materials system; The parameter generation and archiving module is used to parse the notification data according to preset parsing rules, generate corresponding type of part parameter objects, and archive them according to preset categories. The version management module is used to perform version management on the parameter object and determine whether to update the parameter object version based on the material version status. The parameter expansion module is used to respond to parameter requests from the production execution system and expand the parameter object based on preset expansion rules. The parameter transfer module is used to transfer the parameters of the unfolded part to the production execution system and complete the automatic parameter assignment.

[0014] Thirdly, this application provides an automatic parameter assignment device for automotive assembly parts. The automatic parameter assignment device for automotive assembly parts includes a processor, a memory, and an automatic parameter assignment program for automotive assembly parts stored in the memory and executable by the processor. When the automatic parameter assignment program for automotive assembly parts is executed by the processor, it implements the steps of the automatic parameter assignment method for automotive assembly parts as described in some of the above embodiments.

[0015] Fourthly, embodiments of this application provide a computer-readable storage medium storing an automatic parameter assignment program for automotive assembly parts, wherein when the automatic parameter assignment program for automotive assembly parts is executed by a processor, it implements the steps of the automatic parameter assignment method for automotive assembly parts as described in some of the above embodiments.

[0016] The beneficial effects of the technical solutions provided in this application include: By automating the process, precise parameter assignment for automotive assembly parts is achieved. Relying on preset rules and cross-system data collaboration, the system first acquires various production-related notification data published in the bill of materials system. Then, it performs targeted parsing of the notification data according to preset parsing rules, automatically generating parameter objects that match the part type and archiving them according to preset categories. Simultaneously, it performs parameter object version management based on the material version status, clarifying whether parameter objects need to be updated to avoid version confusion. Subsequently, it responds to parameter requests from the production execution system, accurately expanding the parameter objects according to preset expansion rules, and finally transmitting the expanded part parameters to the production execution system. The entire process can be completed automatically without manual intervention, effectively improving the efficiency of parameter generation and maintenance to adapt to the needs of multi-model, high-frequency production. Through unified version management rules, it eliminates the problem of parameter omissions or incorrect updates after material version upgrades, significantly improving parameter matching accuracy, reducing assembly process errors, and ensuring production quality and efficiency. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating an embodiment of the method for automatically assigning parameters to automotive assembly parts according to this application. Figure 2 This is a schematic diagram of the hardware structure of the device for automatically assigning parameters of automotive assembly parts involved in the embodiments of this application. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0019] It is important to understand that as the automotive industry upgrades towards intelligence and connectivity, the pace of new model iterations is accelerating, and the types and specifications of parts involved in the automotive assembly process are continuously increasing. This places higher demands on the accuracy, matching efficiency, and cross-system transmission consistency of assembly parameters (such as filling amount, tightening torque, etc.).

[0020] In the case of automotive assembly parts, parameter management often relies on manual parsing of production notices, manual maintenance of parameter data, or basic parameter queries through simple system storage. The generation, version update, and transmission of parameters to the Manufacturing Execution System (MES) all require manual intervention.

[0021] However, firstly, manual parameter analysis and maintenance are inefficient and difficult to adapt to the production needs of multiple vehicle models and high frequency; secondly, parameter version management lacks unified rules, and parameter omissions or incorrect updates are prone to occur after material version upgrades; thirdly, the data transfer between the process management system (CAPP), bill of materials system (BOM), and production execution system (MES) lacks automated logic, resulting in low parameter matching accuracy, which can easily lead to assembly process errors and affect production quality and efficiency.

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0023] In a first aspect, embodiments of this application provide a method for automatically assigning parameters to automotive assembly parts.

[0024] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for automatically assigning parameters to automotive assembly parts according to this application. Figure 1 As shown, the methods for automatically assigning parameters to automotive assembly parts include: S100: Obtain data on various production-related notices published in the bill of materials system; S200: Parse the notification data according to the preset parsing rules, generate part parameter objects of the corresponding type, and archive them according to the preset classification; S300: Perform version management on the parameter object and determine whether to update the parameter object version based on the material version status; S400: In response to the parameter request from the production execution system, expand the parameter object based on the preset expansion rules; S500: Transfers the unfolded part parameters to the production execution system and completes the automatic parameter assignment.

[0025] In this embodiment, the precise assignment of automotive assembly parts parameters is achieved through an automated process. Relying on preset rules and cross-system data collaboration, the system first acquires various production-related notification data published in the bill of materials system. Then, it performs targeted parsing of the notification data according to preset parsing rules, automatically generating parameter objects that match the part type and archiving them according to preset categories. Simultaneously, it performs parameter object version management based on the material version status, clarifying whether parameter objects need to be updated to avoid version confusion. Subsequently, it responds to parameter requests from the production execution system, precisely expanding the parameter objects according to preset expansion rules. Finally, it transmits the expanded part parameters to the production execution system. The entire process can be completed automatically without manual intervention, effectively improving the efficiency of parameter generation and maintenance to adapt to the needs of multi-model and high-frequency production. The unified version management rules prevent the problem of parameter omissions or incorrect updates after material version upgrades. Furthermore, it establishes an automated data transmission logic between the process management system, the bill of materials system, and the production execution system, significantly improving parameter matching accuracy, reducing assembly process errors, and ensuring production quality and efficiency.

[0026] Furthermore, in one embodiment, S100 includes the following steps: S101: Scan the preparation notices, internal and external manufacturing notices and production start-up notices that have been issued in the bill of materials system through the timed tasks of the process management system. S102: Extract the part identification, material version and vehicle model related data contained in the notification to form a dataset to be parsed.

[0027] In this embodiment, a timed task is configured through the process management system to scan the preparedness notices, internal and external manufacturing notices, and production commencement notices issued in the bill of materials system according to a preset time cycle. This ensures comprehensive capture of production-related material and process information, avoiding omission of valid notice data. The system accurately extracts core data related to part identification, material version, and vehicle model from these notices. The extracted data is then organized and integrated to form a standardized dataset to be parsed. This provides complete and standardized basic data support for subsequent parameter object generation, version management, and parameter expansion based on preset rules. This reduces manual intervention in the data extraction process, improves the efficiency and accuracy of data acquisition, and ensures the smooth progress of the subsequent automatic parameter assignment process.

[0028] Furthermore, in one embodiment, step S200 includes the following steps: S201: Preset parameter classification system, which divides part parameters into injection parameters and torque parameters, and configures corresponding parsing rules for each type of parameter; S202: Based on the feature information of the part identifier, match the corresponding parsing rules and generate the corresponding parameter object; S203: Archive the initially generated parameter objects to the incomplete directory, and automatically archive them to the completed directory after the parameter maintenance is completed.

[0029] In this embodiment, a parameter classification system covering both refueling and torque parameters is pre-defined. Parsing rules corresponding to part identification features are configured for each type of parameter, clarifying the generation basis and matching standards for different types of parameters. Based on the feature information of part identification in the dataset to be parsed, the system automatically matches the pre-defined parsing rules to accurately generate parameter objects that are compatible with the part type and specifications, ensuring the relevance and effectiveness of the parameter objects. The initially generated parameter objects are automatically archived to a pre-defined incomplete directory. After the parameter maintenance process is completed and published, the system automatically archives the parameter objects from the incomplete directory to the completed directory, realizing standardized management and status traceability of parameter objects. This provides a clear object storage foundation for subsequent version management and parameter expansion, ensuring the orderly progress of parameter generation and management processes.

[0030] Furthermore, in one embodiment, step S300 includes the following steps: S301: For filling parameter objects, if the corresponding parameters for the same part already exist in the system, there is no need to create a new version; S302: For torque parameter objects, if the corresponding parameter already exists in the system and the material version in the notification has been upgraded, then create a new version parameter object and inherit the old version parameter data. S303: Maintain and update the new version parameter objects according to actual needs, and archive them to the completed directory after completion.

[0031] In this embodiment, categorized version management is implemented for the generated parameter objects. For annotation-type parameter objects, the system automatically verifies whether the corresponding parameter for the same part already exists. If it already exists, there is no need to create a new version, avoiding redundant maintenance and improving process efficiency. For torque-type parameter objects, the system synchronously verifies whether the corresponding parameter and the material version status in the notification already exist. If the corresponding parameter already exists and the material version has been upgraded, a new version parameter object is automatically created and fully inherits the parameter data of the old version, ensuring the continuity and traceability of parameter data. Based on actual process requirements, the new version torque-type parameter objects are maintained and updated in a targeted manner. After maintenance is completed, the system automatically archives them to the completed directory, realizing standardized management of parameter versions, eliminating the problem of parameter omission or incorrect updates after material version upgrades, and ensuring the accuracy of subsequent parameter expansion and transmission.

[0032] Furthermore, in one embodiment, step S400 includes the following steps: S401: Receive a parameter request sent by the production execution system, the request including vehicle model identification and bill of materials validity information; S402: Obtain the corresponding material structure data based on the vehicle model identification and the validity period of the bill of materials; S403: For refueling parameter objects, expand parameters according to preset rules and automatically complete missing auxiliary material information; S404: For torque parameter objects, first perform a tightening judgment, and if the judgment passes, expand the parameters according to the preset rules.

[0033] In this embodiment, a parameter request sent by the production execution system is received, and the core information of vehicle model identification and bill of materials validity period contained in the request is accurately extracted to clarify the target scope and data benchmark for parameter expansion. Based on the vehicle model identification and bill of materials validity period, complete material structure data corresponding to them is obtained from the bill of materials system, providing basic data support for parameter expansion that fits the actual production needs. For refueling-type parameter objects, the corresponding parameters are automatically expanded according to preset parameter expansion rules. If there are missing auxiliary material information in the expanded parameters, the system automatically matches the auxiliary material library to complete the information, ensuring the integrity and usability of refueling-type parameters. For torque-type parameter objects, a judgment operation on whether tightening is required is first performed according to preset tightening judgment rules. Only when the judgment result is pass is the parameter expanded according to the corresponding preset rules, avoiding the generation and transmission of invalid parameters, ensuring the accurate adaptation of torque-type parameters to assembly requirements, and improving the overall pertinence, accuracy and efficiency of parameter expansion, providing a guarantee for the smooth transmission of parameters to the production execution system.

[0034] Furthermore, in one embodiment, step S404 includes the following steps: S404-1: Preset tightening judgment conditions corresponding to various torque parameters, the conditions being set based on part identification, block features, part name or part quantity; S404-2: Based on the material structure data, check the tightening judgment conditions corresponding to the torque parameters and output the judgment result; S404-3: If the determination result is yes, then the torque parameter expansion is completed by matching the data in the standard parameter library based on the preset rules; if the determination result is no, then the torque parameter expansion is not executed.

[0035] In this embodiment, tightening judgment conditions corresponding to various torque parameters are preset. These judgment conditions are set based on key information such as part identification, block features, part name, and part quantity, clearly defining the judgment criteria and logical boundaries for different torque parameters. Based on the acquired material structure data, the tightening judgment conditions corresponding to various torque parameters are checked one by one. The system automatically verifies whether the key information meets the preset requirements and accurately outputs the tightening judgment result for each torque parameter. If the judgment result is yes, the relevant data such as thread specification, performance grade, and tightening torque corresponding to the torque parameter are matched from the standard parameter library according to the preset parameter expansion rules to complete the complete expansion of the torque parameter. If the judgment result is no, the expansion process of the torque parameter is terminated to avoid the generation of invalid parameters and ensure accurate adaptation of the torque parameters to actual assembly requirements.

[0036] Furthermore, in one embodiment, S500 includes the following steps: S501: Determine the accurate material view corresponding to the vehicle model through the bill of materials system; S502: The process management system provides preset process parameter regression rules, which are calculated by the bill of materials system in combination with the accurate material view and the regression rules; S503: Transmits the calculated unfolding parameters to the production execution system to guide automobile assembly operations.

[0037] In this embodiment, the Bill of Materials (BOM) system accurately determines the material view that perfectly matches the assembly requirements of the vehicle model based on the vehicle model identifier and BOM validity information requested by the Production Execution System (MES). This ensures that the basic data for parameter transmission is highly consistent with the actual production scenario. The Process Management System provides the BOM system with preset process parameter regression rules, which cover parameter matching logic, data completion standards, and cross-system collaboration specifications. The BOM system then integrates the accurate material view with the process parameter regression rules to ensure the relevance and accuracy of the expanded parameters. The calculated expanded parameters are transmitted to the MES in a preset data format, providing directly executable parameter guidance for automotive assembly operations. This achieves automation and consistency in parameter transmission between the Process Management System, the BOM system, and the MES, effectively reducing assembly process errors and ensuring production quality and efficiency.

[0038] In summary, the following is a complete technical overview of the method for automatically assigning parameters to automotive assembly parts provided in the above embodiments: I. Definition of Core Terms EBOM: Design Structure Tree, a collection of product components and materials that reflects the BOM structure during the product design phase.

[0039] PBOM: Process Structure Tree, derived from the Product Design BOM, brings together design data and process data, and reflects the BOM structure of the process design process.

[0040] Object: The basic unit of a CAPP system, it is the embodiment of business entities and data entities in the real world on a digital process platform. All data is organized, managed and classified according to the object mechanism.

[0041] CAPP system: Process Management System, the core operating platform, responsible for parsing data, generating parameters, and managing versions.

[0042] BOM system: Bill of Materials system, which stores core data including part numbers, vehicle models, and versions, such as preparation notices, internal and external manufacturing notices, and production start-up notices.

[0043] MES system: Production Execution System, the demand side of production, requests parameters from the CAPP system to guide assembly operations.

[0044] II. Overall Plan Summary Focusing on the full lifecycle management of final assembly parameters in process management projects, it achieves four core functions: Analyze various production notices according to preset rules, create the final assembly process parameters that need to be maintained, and reflect them in the "Incomplete" directory of the product container; Once the parameters are maintained and approved through the process, they will be automatically archived to the "Completed" directory. If the materials in the new notification already have corresponding parameters, the system will automatically determine whether an upgrade is needed. After receiving a data request from the MES system, expand the parameters corresponding to the vehicle model according to the rules and provide feedback.

[0045] III. Parameter Parsing Rules (Prerequisites for Parameter Generation) 1. Data Sources and Acquisition Methods The CAPP system uses scheduled tasks to retrieve three types of notification data already published in the BOM system: preparation notification, internal and external production notification, and production launch notification.

[0046] 2. Classification and analysis rules (see Table 1 below)

[0047] Table 1 3. Parsing and archiving logic The parsed parameter objects are automatically archived to the "Incomplete" directory of the corresponding parameter category; Once the parameters are maintained and published, the system will automatically archive them to the "Completed" directory.

[0048] IV. Parameter Classification and Coding Correspondence (Standardized Management) 1. Addition parameters (including 15 categories, see Table 2 below)

[0049] Table 2 2. Torque parameters (including 26 categories, see Table 3 below)

[0050] Table 3 V. Assembly Parameter Generation Rules (Core Execution Logic) 1. General generation prerequisites The system establishes a scheduled task plan, records the last scan time through an intermediate time record table, extracts notification data according to the interval of "last scan time - current time", and parses it to generate the corresponding assembly parameters.

[0051] 2. Rules for generating injection parameters (15 categories) Core logic: Generate corresponding parameter objects based on the sequence matching rules starting with the part number; if the corresponding parameters for the same part already exist in the system, there is no need to create them again (no version management).

[0052] Specific matching rules (consistent with parameter parsing rules, with additional details): Chassis: Part numbers begin with 2800010; Front axle: Part number begins with a specified sequence (not provided); Rear axle: Part number starts with 2400010; Wheel size: Part numbers begin with 3101010, 3101018, 3101020, or 3101028; Wheel splitting: Part numbers begin with block 3101A and meet quantity requirements; Glass adhesive coating: Part numbers begin with 5206010; Transmission fluid: Part numbers begin with 1700010 or 1700020; Fuel: Part numbers begin with 1101002, 1101010, 1101001, or 1101020; Engine oil: Part numbers begin with 1000010, 1000020, or 1000110; Urea: Part numbers begin with 1205006, 1205510, or 1205505; Synthetic brake fluid, rust inhibitor and antifreeze, engine oil, refrigerant: No parameters need to be generated, only matching rules need to be maintained.

[0053] 3. Tightening parameter generation rules (26 categories, see Table 4 below)

[0054] Table 4 VI. Version Management Rules (Parameter Update Mechanism) 1. Refilling parameters No version management is required. If the system already has corresponding parameters for the same part during parsing, they will be used directly without creating a new version.

[0055] 2. Torque parameters If the stress moment parameters for the part already exist in the system, and the material version in the notification has been upgraded: the system creates a new version parameter object in the "Completed" directory and automatically inherits the old version data, and the user has to determine whether further maintenance and updates are needed. If the material version has not been upgraded: use the old version parameters and do not create a new version.

[0056] VII. Assembly Parameter Deployment Rules (Response to MES Requests) 1. Expand trigger mechanism The system establishes a scheduled task to scan the MES batch request details table (IF T MES PARAM REQ), with the scanning time range being "the time of this type in the intermediate time record table - the current time", to obtain the vehicle model data (including batch number, vehicle model, BOM status, BOM date, and request date) for the parameters to be expanded; after the parameters are expanded, the current time is updated to the intermediate time record table.

[0057] 2. Logic for expanding parameters of the annotation class (1) General process Based on the vehicle model and BOM date provided by MES, obtain the complete BOM structure data; Based on the BOM structure data, the corresponding final assembly parameters are matched according to the injection class parameter generation rules. If the filling quantity is empty, the material and auxiliary information will be automatically matched and the filling quantity, auxiliary material number, auxiliary material name, and unit code will be filled in. Output complete parameter data to the MES request result table (IF T MES PARAM RS).

[0058] (2) Special parameters: wheel splitting In some scenarios, manual parameter maintenance is unnecessary; the parameters are automatically calculated according to the following rules: Rule 1: If there is only one type of wheel part number under the wheel assembly, the total quantity is 7, and the parameter is 241; if the total quantity is 6, the parameter is 24; if the total quantity is 5, the parameter is 221; if the total quantity is 4, the parameter is 22. Rule 2: For wheel assembly parts, there are 2 types of wheel part numbers → quantity 2+4 → parameter 24; quantity 2+5 → parameter 241; Rule 3: If there are two types of wheel part numbers and the quantity is 2+2 under the wheel block, generate a parameter object and manually maintain the block.

[0059] (3) Special parameters: refrigerant, engine oil, rust inhibitor and antifreeze, synthetic brake fluid The system has a built-in configuration rule table (which stores the correspondence between the starting sequence of the vehicle model and the program number) and maintains it in the "Special Rules" of the parameter expansion rules; Retrieve the program number by matching the sequence starting with the vehicle model from the rule table; Other attributes (such as dosage and auxiliary material number) are taken from the material matching results; Output complete parameters to the MES request results table. Material version not upgraded: Use the old version parameters and do not create a new version.

[0060] 3. Tightening parameter expansion logic (1) Preliminary step: Tightness judgment Parameter expansion is only performed if the result is "yes"; otherwise, it is not performed. The decision rules are shown in Table 5 below:

[0061] Table 5 (2) Parameter expansion process When the judgment result is "yes", the corresponding tightening parameters are matched according to the tightening parameter generation rules; Extract the core parameters: tightening judgment result, number of tightening times, and tightening sequence; Supplementary parameters: Based on the thread width, pitch, and performance grade in the tightening parameters, match the standard parameter base library to obtain the tightening torque, working position, corresponding gun number, tightening program, etc. Write the complete tightening parameters into the parameter expansion result table and feed it back to the MES system.

[0062] 8. Process Parameter Transmission Flow (Cross-System Data Interaction) The MES system sends order information to the BOM system, including the vehicle model and the BOM validity period; The BOM system determines an accurate BOM view (PBOM) based on order information. The CAPP system provides process parameter regression rules to the BOM system; The BOM system combines accurate BOM views, CAPP parameters, and process parameter rules for calculation; The calculated final parameters are transmitted to the MES system to guide the car assembly operation.

[0063] Secondly, this application also provides an automatic parameter assignment device for automotive assembly parts, comprising: a data acquisition module for acquiring various production-related notification data published in the bill of materials system; a parameter generation and archiving module for parsing the notification data according to preset parsing rules, generating corresponding type part parameter objects, and archiving them according to preset categories; a version management module for performing version management on the parameter objects and determining whether to update the parameter object version based on the material version status; a parameter expansion module for responding to parameter requests from the production execution system and expanding the parameter objects based on preset expansion rules; and a parameter transmission module for transmitting the expanded part parameters to the production execution system to complete the automatic parameter assignment.

[0064] The functions of each module in the above-mentioned automatic parameter assignment device for automotive assembly parts correspond to the steps in the above-mentioned automatic parameter assignment method for automotive assembly parts, and their functions and implementation processes will not be described in detail here.

[0065] Thirdly, embodiments of this application provide an automatic parameter assignment device for automotive assembly parts. The automatic parameter assignment device for automotive assembly parts can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0066] Reference Figure 2 , Figure 2 This is a schematic diagram of the hardware structure of the device for automatically assigning parameters to automotive assembly parts involved in the embodiments of this application. In this embodiment, the device for automatically assigning parameters to automotive assembly parts may include a processor, a memory, a communication interface, and a communication bus.

[0067] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0068] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the device to automatically assign parameters to automotive assembly parts, as well as interfaces used for interconnecting the device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.

[0069] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0070] The processor can be a general-purpose processor, which can call the automatic assignment program for automotive assembly parts stored in memory and execute the automatic assignment method for automotive assembly parts provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the automatic assignment program for automotive assembly parts is called can be referred to in the various embodiments of the automatic assignment method for automotive assembly parts provided in this application, and will not be repeated here.

[0071] Those skilled in the art will understand that Figure 2 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0072] Fourthly, embodiments of this application also provide a readable storage medium.

[0073] The present application has a readable storage medium storing an automatic parameter assignment program for automotive assembly parts, wherein when the automatic parameter assignment program for automotive assembly parts is executed by a processor, it implements the steps of the automatic parameter assignment method for automotive assembly parts as described above.

[0074] The method implemented when the automatic assignment program for automotive assembly parts parameters is executed can be referred to in the various embodiments of the automatic assignment method for automotive assembly parts of this application, and will not be repeated here.

[0075] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0076] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0077] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0078] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0079] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0080] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0081] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for automatically assigning parameters to automotive assembly parts, characterized in that, The method for automatically assigning parameters to automotive assembly parts includes: Retrieve data on various production-related notices published in the bill of materials system; The notification data is parsed according to preset parsing rules to generate corresponding type of part parameter objects, and then archived according to preset categories. Version management is performed on the parameter object, and the material version status is used to determine whether to update the parameter object version. In response to parameter requests from the production execution system, the parameter object is expanded based on preset expansion rules; The unfolded part parameters are transferred to the production execution system, and the parameters are automatically assigned.

2. The method for automatically assigning parameters to automotive assembly parts as described in claim 1, characterized in that, The acquisition of various production-related notices data already published in the bill of materials system includes: The process management system uses scheduled tasks to scan the preparation notices, internal and external manufacturing notices, and production start-up notices that have been issued in the bill of materials system. Extract the part identification, material version, and vehicle model related data contained in the notification to form a dataset to be parsed.

3. The method for automatically assigning parameters to automotive assembly parts as described in claim 1, characterized in that, The step of parsing the notification data according to preset parsing rules, generating corresponding type of part parameter objects, and archiving them according to preset categories includes: A preset parameter classification system is used to divide part parameters into injection-related parameters and torque-related parameters, and corresponding parsing rules are configured for each type of parameter. Based on the feature information of the part identifier, match the corresponding parsing rules to generate the corresponding parameter object; The initially generated parameter objects are archived in the incomplete directory, and automatically archived in the completed directory after the parameters are maintained.

4. The method for automatically assigning parameters to automotive assembly parts as described in claim 1, characterized in that, The step of performing version management on the parameter object, and determining whether to update the parameter object version based on the material version status, includes: For parameters related to refilling, if the corresponding parameters for the same part already exist in the system, there is no need to create a new version; For torque parameter objects, if the corresponding parameter already exists in the system and the material version in the notification has been upgraded, a new version parameter object is created and inherits the old version parameter data. Maintain and update the new version parameter objects according to actual needs, and archive them to the completed directory after completion.

5. The method for automatically assigning parameters to automotive assembly parts as described in claim 1, characterized in that, The parameter request response from the production execution system includes expanding the parameter object based on preset expansion rules, including: Receive parameter requests sent by the production execution system, the requests including vehicle model identification and bill of materials validity information; Obtain the corresponding material structure data based on the vehicle model identification and the validity period of the bill of materials; For refueling parameter objects, parameters are expanded according to preset rules, and missing auxiliary material information is automatically filled in; For torque-type parameter objects, a tightening check is performed first. If the check passes, the parameters are expanded according to preset rules.

6. The method for automatically assigning parameters to automotive assembly parts as described in claim 5, characterized in that, For torque-type parameter objects, a tightening determination is first performed. If the determination passes, the parameters are expanded according to preset rules, including: Preset tightening judgment conditions corresponding to various torque parameters, the conditions being set based on part identification, block features, part name, or part quantity; Based on the material structure data, verify the tightening judgment conditions corresponding to the torque parameters and output the judgment result; If the determination result is yes, the torque parameter expansion is completed by matching the data in the standard parameter library based on the preset rules; if the determination result is no, the torque parameter expansion is not performed.

7. The method for automatically assigning parameters to automotive assembly parts as described in claim 1, characterized in that, The step of transferring the unfolded part parameters to the production execution system and automatically assigning parameters includes: The bill of materials system is used to determine the precise material view corresponding to the vehicle model; The process management system provides preset process parameter regression rules, which are then calculated by the bill of materials system in conjunction with the accurate material view and the regression rules. The calculated unfolding parameters are transmitted to the production execution system to guide the car assembly operation.

8. An automatic parameter assignment device for automotive assembly parts, characterized in that, The automatic parameter assignment device for automotive assembly parts includes: The data acquisition module is used to acquire data on various production-related notices that have been published in the bill of materials system; The parameter generation and archiving module is used to parse the notification data according to preset parsing rules, generate corresponding type of part parameter objects, and archive them according to preset categories. The version management module is used to perform version management on the parameter object and determine whether to update the parameter object version based on the material version status. The parameter expansion module is used to respond to parameter requests from the production execution system and expand the parameter object based on preset expansion rules. The parameter transfer module is used to transfer the parameters of the unfolded part to the production execution system and complete the automatic parameter assignment.

9. An automatic parameter assignment device for automotive assembly parts, characterized in that, The automatic parameter assignment device for automotive assembly parts includes a processor, a memory, and an automatic parameter assignment program for automotive assembly parts stored in the memory and executable by the processor, wherein when the automatic parameter assignment program for automotive assembly parts is executed by the processor, it implements the steps of the automatic parameter assignment method for automotive assembly parts as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores an automatic parameter assignment program for automotive assembly parts, wherein when the automatic parameter assignment program for automotive assembly parts is executed by a processor, it implements the steps of the automatic parameter assignment method for automotive assembly parts as described in any one of claims 1 to 7.

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