Process verification method and device, nonvolatile storage medium and electronic equipment

Abstract

This application discloses a process verification method, apparatus, non-volatile storage medium, and electronic device. The method includes: determining a production system model, wherein the production system model includes a factory model, a corresponding workshop model, a corresponding production line model, and a corresponding workstation model; determining the production process of the target product and determining the workstation models associated with the production process; determining the process verification task for the workstation models associated with the production process based on the production process; and determining the execution result of the process verification task. This application solves the technical problem of poor verification results caused by the use of manual offline management in process verification, which is superior to related technologies.

Description

Technical Field

[0001] This application relates to the field of industrial production, and more specifically, to a process verification method, apparatus, non-volatile storage medium, and electronic device. Background Technology

[0002] In related technologies, process verification is typically conducted offline and relies on manual recording and experience-based judgment. This often leads to problems such as unclear verification standards, untimely problem closure, and non-standard verification records. Furthermore, due to the lack of effective verification process control and systematic management, the raw verification data often contains a large amount of disorganized information and omissions, affecting the effectiveness of subsequent process optimization and mass production assurance.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a process verification method, apparatus, non-volatile storage medium, and electronic device to at least solve the technical problem of poor verification results caused by the use of manual offline management during process verification, which is superior to related technologies.

[0005] According to one aspect of the embodiments of this application, a process verification method is provided, comprising: determining a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; determining the production process of the target product, and determining the workstation model associated with the production process; determining the process verification task of the workstation model associated with the production process based on the production process; and determining the execution result of the process verification task.

[0006] Optionally, based on the production process, the process verification task for the workstation model associated with the production process includes: determining the verification standard information associated with the production process from the process verification annotation database; determining the production guidance information associated with the production process from the process document database; and generating the process verification task for the workstation model associated with the production process based on the verification standard information and the production guidance information.

[0007] Optionally, after determining the process verification task of the workstation model associated with the production process based on the production process, the method further includes: determining the target verification object associated with the workstation model; sending a prompt message to the target verification object, wherein the prompt message is used to instruct the target verification object to perform the process verification task.

[0008] Optionally, determining the production process of the target product includes: determining the process route data of the target product; splitting the process route data to obtain the production process; determining the workstation model associated with the production process includes: determining the bill of materials structure data of the target product, wherein the bill of materials structure data includes the material information corresponding to the production process; and determining the workstation model associated with the production process based on the material information and the production process.

[0009] Optionally, determining the workstation model associated with the production process based on material information and production process includes: setting material information and production process as search conditions; searching for a target factory model that matches the search conditions in the production system model; searching for a target workshop model that matches the search conditions in the target factory model; searching for a target production line model that matches the search conditions in the target workshop model; searching for a target workstation model that matches the search conditions in the target production line model; and using the target workstation model as the workstation model associated with the production process.

[0010] Optionally, determining the execution result of the process verification task includes: acquiring the detection record data of the process verification task in real time during the execution of the process verification task; determining the target value range corresponding to the process verification task based on the task type of the process verification task; determining the execution result as a detection anomaly if there is detection record data exceeding the target value range, and determining the execution result as a detection qualified if there is no detection record data exceeding the target value range.

[0011] Optionally, after determining the execution result of the process verification task, the method further includes: if the execution result is a detection anomaly, determining the cause of the anomaly in the process verification task; and determining an optimization scheme for the production process based on the cause of the anomaly and the production process associated with the process verification task.

[0012] According to another aspect of the embodiments of this application, a process verification apparatus is also provided, comprising: a first processing module, configured to determine a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; a second processing module, configured to determine the production process of the target product and determine the workstation model associated with the production process; a third processing module, configured to determine the process verification task of the workstation model associated with the production process based on the production process; and a fourth processing module, configured to determine the execution result of the process verification task.

[0013] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, wherein a program is stored in the non-volatile storage medium, and the program controls the device where the non-volatile storage medium is located to execute a process verification method when it runs.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the program executes a process verification method during runtime.

[0015] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that performs a process verification method when executed by a processor.

[0016] In this embodiment, a production system model is determined, which includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model. The production process of the target product is determined, and the workstation models associated with the production process are determined. Based on the production process, the process verification tasks of the workstation models associated with the production process are determined. The execution results of the process verification tasks are determined. By determining the workstation models associated with the production process and determining the process verification tasks corresponding to the workstation models based on the production process, the purpose of automatically determining the process verification tasks corresponding to each workstation is achieved. This realizes the technical effect of automatically managing and allocating process verification tasks, thereby solving the technical problem of poor verification results caused by the use of manual offline management in process verification, which is superior to related technologies. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a schematic diagram of the structure of a computer terminal (or mobile device) according to an embodiment of this application;

[0019] Figure 2 This is a schematic flowchart of a process verification method provided according to an embodiment of this application;

[0020] Figure 3 This is a schematic diagram of the structure of a production system model provided according to an embodiment of this application;

[0021] Figure 4 This is a flowchart illustrating a workstation model for determining the association of production processes, according to an embodiment of this application.

[0022] Figure 5 This is a schematic flowchart of a process verification process provided according to an embodiment of this application;

[0023] Figure 6 This is a schematic diagram of a process verification device provided according to an embodiment of this application. Detailed Implementation

[0024] 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 should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] Traditional process validation is primarily managed offline and relies on manual records and experience-based judgment, which can easily lead to problems such as unclear validation standards, untimely problem closure, and non-standard validation records. Furthermore, due to the lack of effective validation process control and systematic management, raw validation data often contains a large amount of disorganized information and omissions, affecting the effectiveness of subsequent process optimization and mass production assurance.

[0027] To address the aforementioned issues, this application provides a solution that utilizes digital means to acquire real-time, end-to-end verification data from various production equipment, testing tools, and operational processes. The raw verification data is preprocessed using process standardization and data normalization techniques, improving the accuracy and reliability of process verification and laying a solid foundation for subsequent process optimization and mass production compliance review. By introducing a digital management system and systematically controlling the core elements of process documents, an efficient process verification management system is constructed. Furthermore, this system automatically identifies key nodes and core elements in the verification process and continuously optimizes the verification closed-loop efficiency through standardized process control, thereby significantly improving the standardization and effectiveness of process verification. It also effectively improves process verification efficiency and accuracy, as detailed below.

[0028] According to an embodiment of this application, a method embodiment for process verification is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0029] The methods and embodiments provided in this application can be executed on mobile terminals, computer terminals, or similar computing devices. Figure 1 A hardware block diagram of a computer terminal (or mobile device) for implementing a process verification method is shown. Figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more processors 102 (shown as 102a, 102b, ..., 102n in the figure) 102 (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10 (or mobile device). As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0031] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the process verification method in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the above-mentioned process verification method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0032] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0033] The display may be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10 (or mobile device).

[0034] Under the above operating environment, embodiments of this application provide a process verification method, such as... Figure 2 As shown, the method includes the following steps:

[0035] Step S202: Determine the production system model, which includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model.

[0036] In some embodiments of this application, the production system model is as follows: Figure 3 As shown. Figure 3 Each node in the model represents a factory model, workshop model, production line model, or workstation model, and the edges between nodes represent the affiliation relationships.

[0037] Optionally, the factory model will include basic information such as factory ID, address, capacity, and production vehicle models, and can serve as the top-level node of the production system model. The workshop model can be divided into stamping workshops, welding workshops, painting workshops, and final assembly workshops, and will clearly define the process attributes and production scope of each workshop. Then, production line models within each workshop (such as final assembly line A and line B) can be configured, associating them with the production tasks of the corresponding vehicle models. For the workstation model, workstation ID, workstation name, production line, process type (such as welding workstation, assembly workstation), key equipment, and personnel configuration can be defined to achieve precise spatial mapping for process verification.

[0038] In some embodiments of this application, a production line model can be automatically generated by importing data such as factory layout diagrams and production line configuration tables; at the same time, manual adjustment of workstation attributes is supported to ensure the consistency between the model and the actual production environment, providing basic support for subsequent production route configuration.

[0039] Step S204: Determine the production process of the target product and the workstation model associated with the production process;

[0040] In the technical solution provided in step S204, the steps for determining the production process of the target product include: determining the process route data of the target product; splitting the process route data to obtain the production process; and determining the workstation model associated with the production process includes: determining the bill of materials structure data of the target product, wherein the bill of materials structure data includes the material information corresponding to the production process; and determining the workstation model associated with the production process based on the material information and the production process.

[0041] In some embodiments of this application, the BOM (Bill of Materials) structure and process route data of the target product can be imported to clarify the sequence of processes from stamping and welding to final assembly. Each process is matched one-to-one with the workstations in the production line model, automatically associating the corresponding workstation's control plan, equipment list, and verification standards. Based on the matching results, a dedicated verification list for each production process is generated. The list may include: verification items, standard requirements, equipment requirements, inspection methods, and judgment rules. Verification tasks can then be generated based on the dedicated verification list. When determining the workstation model corresponding to a production process, a rule engine can be used to configure the matching logic. For example, when the process type is "door assembly," the control plan, tightening tool and equipment list, and assembly tolerance standards for the door assembly workstation in the final assembly workshop can be automatically associated, ensuring a high degree of matching between the verification list and the actual needs of the workstation.

[0042] In some embodiments of this application, such as Figure 4 As shown, the steps for determining the workstation model associated with the production process based on material information and production procedures include:

[0043] Step S402: Set material information and production process as search criteria;

[0044] Step S404: Retrieve the target factory model that matches the retrieval criteria in the production system model;

[0045] Step S406: Retrieve target workshop models that match the retrieval criteria in the target factory model;

[0046] Step S408: Search for target production line models that match the search criteria in the target workshop model;

[0047] Step S410: Search for target workstation models that match the search criteria in the target production line model, and use the target workstation models as workstation models associated with the production process.

[0048] In some embodiments of this application, taking the target product as the vehicle assembly object as an example, the process of determining the production process of the target product and matching the associated workstation model is as follows:

[0049] First, the production process of the target product is determined. The process route data of the target product is obtained and determined. This process route data includes the execution sequence and process requirements of the entire process from parts processing to vehicle assembly. Then, the process route data is broken down layer by layer according to the execution stage and operation content to obtain multiple independent production processes, including the door assembly process.

[0050] The next step is to determine the workstation model associated with the production process. First, the bill of materials structure data of the target product is determined. This bill of materials structure data contains the material information corresponding to the door assembly process. The material information includes material identifier, material name, assembly location, process attributes, and required equipment type.

[0051] As an optional implementation method, the process of determining the workstation model associated with the production process based on material information and production process is as follows:

[0052] Set the material information corresponding to the door assembly process and the door assembly process together as search criteria.

[0053] The production system model is searched step by step. First, based on the material attributes and process types in the search conditions, the target factory model is searched for. When the production model of the factory model is consistent with the target product and has the capacity for whole vehicle assembly, it is determined to be a successful match.

[0054] Within the target factory model obtained through matching, the target workshop model is further searched based on the assembly location and process attributes in the search criteria. When the process attribute of the workshop model is final assembly type and the production scope includes door-related assembly operations, it is determined to be a successful match.

[0055] Within the target workshop model obtained through matching, the target production line model is further retrieved based on the process content and corresponding vehicle model information in the search conditions. When the production task of the production line model is consistent with the target product vehicle model and undertakes the door-related assembly process, it is determined to be a successful match.

[0056] Within the target production line model obtained through matching, the target workstation model is further searched based on the material information, process requirements, and required equipment types in the search conditions. When the process type of the workstation model is consistent with the assembly process, the key equipment configured at the workstation matches the equipment type required by the material information, and the assembly range of the workstation is consistent with the assembly position in the material information, the matching is considered successful.

[0057] The target workstation model obtained by the final matching is used as the workstation model associated with the door assembly process, thus completing the determination of the association between the production process and the workstation model.

[0058] Step S206: Based on the production process, determine the process verification task of the workstation model associated with the production process;

[0059] In the technical solution provided in step S206, the process verification task of determining the workstation model associated with the production process according to the production process includes: determining the verification standard information associated with the production process from the process verification annotation database; determining the production guidance information associated with the production process from the process document database; and generating the process verification task of the workstation model associated with the production process based on the verification standard information and the production guidance information.

[0060] In some embodiments of this application, the process validation standard database can provide core standard basis for process validation, and may include the following:

[0061] The control plan table includes fields such as process number, process name, control items, control methods, equipment number, inspection frequency, judgment criteria, and anomaly handling procedures, clearly defining the quality control requirements for each process. The equipment list table includes fields such as equipment ID, equipment name, model, calibration cycle, accuracy parameters, and applicable processes, ensuring the compliance and reliability of equipment during verification. The process standard table includes fields such as process parameter thresholds (e.g., welding current, coating temperature), tolerance range, operating procedures, and quality judgment rules, providing quantitative basis for verification records. During implementation, existing enterprise process standard documents are imported through a standardized interface, automatically parsed, and structured and stored in the database. Manual addition and editing of standard entries are also supported, ensuring the real-time updating and adaptability of the standard library.

[0062] In some embodiments of this application, the process document database stores full document information associated with process validation, which may include the following:

[0063] The process specification table includes fields such as specification number, applicable vehicle models, process flow, operating steps, and tooling requirements, clearly defining the execution standards for each process. The work instruction table includes fields such as instruction number, workstation ID, operating points, safety precautions, and accompanying illustrations, providing engineers with a clear reference for on-site verification. The change record table includes fields such as change number, change content, effective date, and approval process, enabling traceable management of process document changes. During implementation, a version control mechanism is used to manage process documents, ensuring that engineers use the latest valid version during verification. It also supports document retrieval, allowing for quick location of relevant documents via process number and workstation ID, improving verification efficiency.

[0064] In some embodiments of this application, the target product is taken as the vehicle assembly object, and the door assembly process is selected as the target production process. This process has been associated with the corresponding workstation model through the aforementioned steps. The production system model to which the workstation model belongs has a clear hierarchy, and the factory model, workshop model, production line model, and workstation model have all been determined and are consistent with the actual production environment. Based on the above, the following steps are performed: Figure 2 The system based on the method provided in the paper begins to execute the process verification task determination process to achieve automated, standardized, and accurate task generation of related workstation models, ensuring that the verification content is complete, the basis is sufficient, and the execution is standardized.

[0065] The first step involves retrieving the verification standard information associated with the production process from the process verification standard database. This database is a pre-built and continuously maintained standardized database containing verification standard data for each process in the entire automotive manufacturing process. This includes control plans, equipment calibration standards, process parameter thresholds, quality judgment rules, and anomaly handling procedures. All information is structured according to process identifier, process type, workstation attribute, and vehicle model category, supporting rapid retrieval and precise matching. The system uses the process identifier, process type, workstation model, and target product model of the current door assembly process as the search criteria. It performs a matching search in the process verification standard database, extracting all verification standard information directly corresponding to the door assembly process. Specifically, this includes the standard range of bolt tightening torque during door assembly, tolerance requirements for the gap between the door and side panel, allowable fluctuation range of surface differences, functional verification requirements after assembly, calibration standards for relevant equipment, inspection frequency for each verification item, and judgment rules for parameter deviations. The above verification standards are all quantifiable and actionable indicators, which can provide clear judgment criteria for subsequent verification tasks, avoid inconsistent verification results due to ambiguity of standards, and ensure that the verification process complies with established process specifications and quality system requirements.

[0066] The next step is to determine the production guidance information associated with this production process from the process document database. The process document database is used to uniformly store document information corresponding to each process step, including process specifications, work instructions, inspection standards, process change records, tooling and fixture usage requirements, and safe operating procedures. All documents are version controlled to ensure that the retrieved files are the currently effective versions. The system continues to use the door assembly process as the search object, performing a search and matching operation in the process document database to obtain production guidance information directly related to this process. This includes the complete operation flow of door assembly, the execution sequence of each operation step, the usage methods and precautions for tooling and fixtures, the location methods for key assembly points, the operating procedures for operators, the recording requirements for on-site verification, the usage conditions of auxiliary tools, and on-site handling guidelines for abnormal situations. This part of the production guidance information is operation-oriented, guiding verification personnel to complete verification actions according to the standardized procedures, ensuring that the verification process is consistent with actual production operations, and providing support for the standardization of verification records, making verification activities traceable, verifiable, and comparable.

[0067] After acquiring the verification standard information and production guidance information, the system executes the step of generating a process verification task for the workstation model associated with the production process based on the above two types of information. The system first integrates and parses the verification standard information and production guidance information, mapping quantitative standards to operating specifications to form structured and itemized verification content. Specifically, the system associates parameters such as tightening torque standards, clearance tolerance standards, and surface difference standards with corresponding operating steps, positioning requirements, and inspection methods, systematically compiling a verification item list. Each verification item includes the item name, verification object, verification method, standard value, allowable deviation, tools used, recording method, judgment result, and anomaly prompts. Subsequently, the system binds the above verification item list to the current workstation model, clarifying all verification content, execution order, verification duration, and verification priority that needs to be completed under this workstation model. Simultaneously, the task attribution, execution entity, data feedback requirements, and closed-loop processing rules are written into the task information, forming a complete and deployable process verification task.

[0068] As an optional implementation, after determining the process verification task of the workstation model associated with the production process based on the production process, the method further includes: determining the target verification object associated with the workstation model; sending a prompt message to the target verification object, wherein the prompt message is used to instruct the target verification object to perform the process verification task.

[0069] In some embodiments of this application, verification tasks for each workstation can be automatically identified and a task list generated based on the production route configuration results. Then, based on the workstation-engineer responsibility mapping relationship, tasks can be automatically assigned to the corresponding target verification objects. After task assignment, the target verification object is notified via system messages, emails, etc., and information such as task assignment time, deadline, and priority is recorded. During implementation, manual adjustment of task assignment is supported to ensure task flexibility in special scenarios; a task monitoring function is also provided to track task execution status in real time and avoid task omissions or delays. The aforementioned target verification object can be a specific engineer, or an engineer's personal account or personal terminal. Alternatively, it can be an intelligent agent or a large language model associated with the workstation model.

[0070] The target verification object can be verified item by item against the control plan, equipment list and standard requirements based on the assigned verification tasks and corresponding verification checklist.

[0071] Step S208: Determine the execution result of the process verification task.

[0072] In the technical solution provided in step S208, the steps for determining the execution result of the process verification task include: acquiring the detection record data of the process verification task in real time during the execution of the process verification task; determining the target value range corresponding to the process verification task based on the task type of the process verification task; determining the execution result as a detection anomaly if there is detection record data exceeding the target value range, and determining the execution result as a detection qualified if there is no detection record data exceeding the target value range.

[0073] In some embodiments of this application, test results can be recorded in real time via electronic devices such as mobile devices or PCs. This includes measured values ​​of various parameters, judgment results (pass / fail), anomaly descriptions, and on-site photos. The compliance of the recorded data can be automatically verified. For example, if the measured value exceeds the tolerance range, an anomaly alert is automatically triggered, requiring the target object to provide a supplementary explanation of the anomaly. Additionally, a real-time monitoring mechanism can be introduced. When a process parameter (such as welding current) deviates from the standard threshold, an early warning is automatically triggered, linking relevant process documents and standards to assist in quickly locating the root cause of the problem. Offline recording functionality is also supported, ensuring that verification data in environments without network access can be synchronized to the target system.

[0074] In some embodiments of this application, after determining the execution result of the process verification task, the method further includes: if the execution result is a detection anomaly, determining the cause of the anomaly in the process verification task; and determining an optimization scheme for the production process based on the cause of the anomaly and the production process associated with the process verification task.

[0075] As an optional implementation, issues discovered in the verification records can be categorized, such as equipment malfunctions, process parameter deviations, and operational non-compliance. The system automatically associates the issues with corresponding process standards, equipment information, and historical verification data to assist engineers in analyzing the root causes. Problem-solving plans (such as equipment calibration, process parameter adjustment, and personnel training) are developed, clearly defining responsibilities and completion deadlines, and tracking progress. Once the problem is closed, the results and optimization plans are synchronously updated to the process verification standard database and process document database, enabling continuous iteration of verification standards.

[0076] In addition, it can establish a problem traceability ledger to record the entire process information from problem discovery to closure; it also supports problem statistical analysis functions, which can identify high-frequency problem points through big data analysis and provide data support for process optimization.

[0077] In some embodiments of this application, taking the door assembly station in the final assembly workshop as an example, when performing process verification, a process verification standard database can be constructed first, and the control plan for the door assembly process can be entered (e.g., the standard for bolt tightening torque is 25±2N). m), equipment list (such as the model and calibration requirements of the electric tightening gun), tolerance standards (such as the tolerance of the gap between the door and the side panel is 3±1mm).

[0078] Then, a production system model can be established, and the attributes of the door assembly station in the final assembly workshop can be configured: the station ID is "preset station ID", the process type is "door assembly", and the associated equipment is "electric tightening gun + equipment number".

[0079] Next, the production route for door assembly of a specific car model can be configured in the model, associating the "door assembly" process with the "preset workstation ID" and automatically generating a verification checklist, including items such as "bolt tightening torque verification" and "clearance surface difference verification." The verification task can then be assigned to the target verification object responsible for that workstation. The target verification object can view the checklist via a mobile device, verifying on-site that the bolt tightening torque is 26N. m (meets standard), gap is 4.5mm (out of tolerance), record the anomaly and upload on-site photos.

[0080] After obtaining relevant on-site verification data, the system can automatically correlate the corresponding process standards and historical data for the gap deviation. Analysis revealed that the issue stemmed from fixture positioning error. Engineer Wang developed a fixture calibration plan, and after calibration and re-verification, the gap was restored to 3.2mm, closing the loop on the problem. Furthermore, the fixture calibration plan can be updated to the process verification standard database, optimizing the verification standards for the door assembly station and preventing similar issues from recurring.

[0081] According to an embodiment of this application, a method such as... is also provided. Figure 5 The process verification flow is shown below. Figure 5As can be seen from this, the process validation process includes the following steps:

[0082] Step S502: Establish a process verification standard database to store basic data of verification standards for each process in automobile manufacturing.

[0083] Step S504: Establish a process document database to store process specifications, work instructions, inspection specifications and other document information corresponding to each process step;

[0084] Step S506: Establish production system model data (including factory, workshop, production line, and workstation) to construct the physical space and workstation hierarchy of the entire automobile manufacturing process, and clarify the process attributes and production roles of each workstation.

[0085] Step S508: Configure the production route relationship of the product, associate the process route of the product to be verified with the production line model in S3, and clarify the workstations, equipment and process requirements corresponding to each process.

[0086] Step S510: Generate process verification tasks and assign them to verification objects. Based on the production route and workstation configuration, automatically generate the verification list for the corresponding workstation and accurately assign the verification tasks to the verification objects responsible for that workstation.

[0087] Step S512: The verification object records the verification according to the verification checklist. Based on the control plan, equipment list and standard requirements in the verification checklist, the verification object verifies the process execution of the workstation item by item and records the results.

[0088] Step S514: Verify problem handling and verification. Classify, analyze and close the loop on the problems found during the verification process, update the process standards and verification records, and form a closed loop for continuous improvement process management.

[0089] By employing a defined production system model, which includes a factory model, a corresponding workshop model, a corresponding production line model, and a corresponding workstation model; determining the production process of the target product and the workstation models associated with the production process; determining the process verification tasks for the workstation models associated with the production process based on the production process; and determining the execution results of the process verification tasks, the goal of automatically determining the process verification tasks for each workstation is achieved. This realizes the technical effect of automatically managing and allocating process verification tasks, thus solving the technical problem of poor verification results caused by the use of manual offline management in process verification in related technologies.

[0090] Furthermore, compared to process verification methods in related technologies that rely on human experience, the method provided in this application achieves standardized and intelligent control of automotive manufacturing process verification within a digital process management environment. It shifts the verification process from a manual checklist-based, experience-driven model to a digital closed-loop management environment based on automatic matching and precise task allocation using a standard library. This effectively improves the efficiency of process verification and reduces the time spent on manually compiling standards, matching workstations, and recording and analyzing data. Simultaneously, compared to related process verification methods, it effectively improves the efficiency and accuracy of automotive manufacturing process verification, reduces reliance on engineer experience, and enables traceability of the verification process and continuous iteration of process standards.

[0091] This application provides a process verification device. Figure 6 This is a schematic diagram of the device. From... Figure 6 As can be seen from the diagram, the device includes: a first processing module 60, used to determine a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; a second processing module 62, used to determine the production process of the target product and determine the workstation model associated with the production process; a third processing module 64, used to determine the process verification task of the workstation model associated with the production process based on the production process; and a fourth processing module 66, used to determine the execution result of the process verification task.

[0092] In some embodiments of this application, the step of the second processing module 62 in determining the production process of the target product includes: determining the process route data of the target product; splitting the process route data to obtain the production process; the step of the second processing module 62 in determining the workstation model associated with the production process includes: determining the bill of materials structure data of the target product, wherein the bill of materials structure data includes material information corresponding to the production process; and determining the workstation model associated with the production process based on the material information and the production process.

[0093] In some embodiments of this application, the step of the second processing module 62 determining the workstation model associated with the production process based on material information and production process includes: setting material information and production process as search conditions; searching for a target factory model that matches the search conditions in the production system model; searching for a target workshop model that matches the search conditions in the target factory model; searching for a target production line model that matches the search conditions in the target workshop model; searching for a target workstation model that matches the search conditions in the target production line model; and using the target workstation model as the workstation model associated with the production process.

[0094] In some embodiments of this application, the third processing module 64 determines the process verification task of the workstation model associated with the production process based on the production process, including: determining the verification standard information associated with the production process from the process verification annotation database; determining the production guidance information associated with the production process from the process document database; and generating the process verification task of the workstation model associated with the production process based on the verification standard information and the production guidance information.

[0095] In some embodiments of this application, after determining the process verification task of the workstation model associated with the production process based on the production process, the third processing module 64 is further configured to: determine the target verification object associated with the workstation model; and send a prompt message to the target verification object, wherein the prompt message is used to instruct the target verification object to perform the process verification task.

[0096] In some embodiments of this application, the step of the fourth processing module 66 in determining the execution result of the process verification task includes: acquiring the detection record data of the process verification task in real time during the execution of the process verification task; determining the target value range corresponding to the process verification task based on the task type of the process verification task; determining the execution result as a detection anomaly if there is detection record data exceeding the target value range, and determining the execution result as a detection qualified if there is no detection record data exceeding the target value range.

[0097] In some embodiments of this application, after determining the execution result of the process verification task, the fourth processing module 66 is further configured to: determine the cause of the abnormality of the process verification task if the execution result is a detection anomaly; and determine an optimization scheme for the production process based on the cause of the abnormality and the production process associated with the process verification task.

[0098] It should be noted that each module in the above process verification model can be a program module (e.g., a set of program instructions to implement a specific function) or a hardware module. For the latter, it can be represented in the following forms, but is not limited to them: each of the above modules is represented by a processor, or the functions of each of the above modules are implemented by a processor.

[0099] According to an embodiment of this application, a non-volatile storage medium is also provided, which stores a program. When the program runs, it controls the device where the non-volatile storage medium is located to execute the following process verification method: determining a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; determining the production process of the target product and determining the workstation models associated with the production process; determining the process verification task of the workstation model associated with the production process based on the production process; and determining the execution result of the process verification task.

[0100] According to an embodiment of this application, an electronic device is also provided, including: a memory and a processor. The processor is used to run a program stored in the memory, wherein the program executes the following process verification method during runtime: determining a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; determining the production process of the target product and determining the workstation model associated with the production process; determining the process verification task of the workstation model associated with the production process based on the production process; and determining the execution result of the process verification task.

[0101] According to an embodiment of this application, a computer program product is also provided, including a computer program. When the computer program is executed by a processor, it performs the following process verification method: determining a production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; determining the production process of the target product and determining the workstation model associated with the production process; determining the process verification task of the workstation model associated with the production process based on the production process; and determining the execution result of the process verification task.

[0102] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0104] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0105] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0106] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0107] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A process verification method, characterized in that, include: A production system model is determined, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model; Determine the production process of the target product, and determine the workstation model associated with the production process; Based on the production process, determine the process verification task of the workstation model associated with the production process; Determine the execution result of the process verification task.

2. The process verification method according to claim 1, characterized in that, Based on the production process, the process verification task for the workstation model associated with the production process includes: Determine the verification standard information associated with the production process from the process verification label database; Determine the production guidance information associated with the production process from the process document database; Based on the verification standard information and the production guidance information, a process verification task for the workstation model associated with the production process is generated.

3. The process verification method according to claim 1, characterized in that, After determining the process verification task of the workstation model associated with the production process based on the production process, the method further includes: Identify the target verification object associated with the workstation model; A prompt message is sent to the target verification object, wherein the prompt message is used to instruct the target verification object to perform the process verification task.

4. The process verification method according to claim 1, characterized in that, The production process for the target product includes: Determine the process route data for the target product; The process route data is broken down to obtain the production steps; Determining the workstation model associated with the production process includes: Determine the bill of materials structure data for the target product, wherein the bill of materials structure data includes material information corresponding to the production process; Based on the material information and the production process, the workstation model associated with the production process is determined.

5. The process verification method according to claim 4, characterized in that, Based on the material information and the production process, the workstation model associated with the production process is determined to include: Set the material information and the production process as search criteria; Retrieve a target factory model that matches the search criteria from the production system model; Retrieve target workshop models that match the search criteria from the target factory model; Retrieve target production line models that match the search criteria from the target workshop model; Retrieve a target workstation model that matches the search criteria from the target production line model, and use the target workstation model as the workstation model associated with the production process.

6. The process verification method according to claim 1, characterized in that, Determining the execution result of the process verification task includes: During the execution of the process verification task, the detection record data of the process verification task are acquired in real time; Based on the task type of the process verification task, determine the target value range corresponding to the process verification task; If the detected data exceeds the target value range, the execution result is determined to be an abnormal detection result; if no detected data exceeds the target value range, the execution result is determined to be a qualified detection result.

7. The process verification method according to claim 1, characterized in that, After determining the execution result of the process verification task, the method further includes: If the execution result indicates an anomaly, determine the cause of the anomaly in the process verification task. Based on the cause of the anomaly and the production process associated with the process verification task, an optimization scheme for the production process is determined.

8. A process verification device, characterized in that, include: The first processing module is used to determine the production system model, wherein the production system model includes a factory model, a workshop model corresponding to the factory model, a production line model corresponding to the workshop model, and a workstation model corresponding to the production line model. The second processing module is used to determine the production process of the target product and to determine the workstation model associated with the production process. The third processing module is used to determine the process verification task of the workstation model associated with the production process based on the production process. The fourth processing module is used to determine the execution result of the process verification task.

9. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a program, wherein when the program is executed, it controls the device containing the non-volatile storage medium to perform the process verification method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when executed, performs the process verification method according to any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the process verification method according to any one of claims 1 to 7.

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