Intelligent manufacturing industry electronic quality management platform

Abstract

The application provides an intelligent manufacturing electronic quality management platform, and relates to the field of intelligent manufacturing.The quality management platform comprises a data acquisition layer, a terminal interaction layer, a core function module linkage layer and a data application layer.The data acquisition layer comprises a machine tool configuration sensor, a production parameter collector and a quality inspection data acquisition terminal.The terminal interaction layer is an operation carrier, and comprises a PC end management system, a Pad end mobile application and an industrial mobile phone end, and the PC end management system is arranged in a quality inspection department and an engineering department.The core function module linkage layer realizes order, task, quality inspection, analysis and record whole-process linkage through data intercommunication between modules.The application solves the inspection deviation caused by machine tool configuration, greatly reduces the labor cost, improves the knowledge transmission efficiency, avoids experience faults, significantly optimizes the data tracing speed and completeness, is more efficient in problem positioning, improves the quality analysis and decision efficiency, continuously optimizes the product quality level, and realizes the closed loop management of unqualified products.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing, and more particularly to an electronic quality management platform for intelligent manufacturing. Background Technology

[0002] In intelligent manufacturing, electronic quality management (eQMS) transforms quality control from passive inspection to proactive prevention and real-time optimization throughout the entire process through digitalization and integration. It deeply integrates IoT, big data, and AI technologies to achieve automatic production data collection, real-time anomaly alerts, and root cause tracing and analysis, thereby significantly improving product consistency and reducing defect and recall costs. Simultaneously, eQMS breaks down departmental barriers, ensuring seamless flow and collaboration of quality data across R&D, production, and the supply chain, accelerating compliance response and continuous improvement. This is not only a key support for enterprises to reduce costs, increase efficiency, and build core competitiveness.

[0003] In the current process of upgrading from intelligent manufacturing to Industry 4.0, quality management still generally relies on traditional models, and the core technologies still have the following problems: paper-based manual records are the main method: most manufacturing enterprises manage quality data by manually filling in inspection forms and archiving them on paper. The average time for recording a single process is 3-5 minutes, and there are data errors (error rate of about 5%-8%) and the risk of loss, which cannot support the needs of high-frequency production.

[0004] Manual matching of testing standards: Different product models and production processes correspond to different testing standards (such as dimensional tolerances, material hardness, and performance parameters), which need to be manually selected and matched from the document library. This is not only time-consuming (about 5 minutes per match), but also prone to misuse of standards due to experience bias, leading to rework.

[0005] Delayed detection of abnormal data: Relying on manual periodic inspections (such as once every 2 hours) to monitor production / inspection parameters (temperature, pressure, accuracy, etc.) results in an average delay of 2-4 hours in detecting abnormal data, which can easily lead to batches of non-conforming products (rework rate of about 8%-12%).

[0006] The problem of data silos is prominent: production data (MES system), quality inspection data (QMS system), warehousing data (WMS system), and financial data (ERP system) are stored in a scattered manner without a unified interface. The data interoperability rate is less than 30%, making it impossible to analyze the relationship between production and quality.

[0007] End-to-end traceability is difficult: key data (supplier information, test reports, production personnel, logistics trajectory) from raw material procurement to after-sales service are scattered in different links. When quality problems occur, traceability requires manual cross-departmental data retrieval, which takes 1-3 days and is difficult to locate the root cause of the problem. Compliance is difficult to meet industry standards such as ISO 9001 and IATF 16949.

[0008] The existing technologies mentioned above lead to low production efficiency, capacity loss (10%-15% loss per day), and high quality control costs for manufacturing enterprises, making them unable to meet the high-efficiency and intelligent needs of smart manufacturing. Summary of the Invention

[0009] The present invention aims to at least partially solve one of the technical problems in the related art.

[0010] Therefore, the purpose of this invention is to provide an intelligent electronic quality management platform for the manufacturing industry. This invention completely solves the inspection deviation caused by machine tool configuration, significantly reduces labor costs, improves knowledge transfer efficiency, avoids experience gaps, significantly optimizes data traceability speed and integrity, makes problem location more efficient, improves quality analysis and decision-making efficiency, continuously optimizes product quality level, establishes a closed loop for non-conforming product management, and makes problem handling more standardized.

[0011] To achieve the above objectives, the present invention provides an intelligent manufacturing electronic quality management platform, which includes: a data acquisition layer, a terminal interaction layer, a core functional module linkage layer, and a data application layer; the data acquisition layer includes machine tool configuration sensors, production parameter collectors, and quality inspection data acquisition terminals;

[0012] The terminal interaction layer is the operation carrier, including a PC-based management system, a Pad-based mobile application, and an industrial mobile phone terminal, with the PC-based management system deployed in the quality inspection and engineering departments.

[0013] The core functional module linkage layer enables the linkage of the entire process of orders, tasks, quality inspection, analysis, and recording through data exchange between modules;

[0014] The data application layer includes a data storage module, a data traceability module, and a data trend analysis module, and the data storage module uses a distributed database.

[0015] Furthermore, the machine tool configuration sensors in the data acquisition layer are installed on the core components of each machine tool model to collect machine tool model, hardware configuration, and operating parameters in real time; the production parameter acquisition device interfaces with the machine tool control system.

[0016] The quality inspection data acquisition terminal is deployed at the quality inspection workstation, and the acquisition device communicates with the upper-level module via industrial Ethernet.

[0017] Furthermore, the PC terminal in the terminal interaction layer communicates with the core functional modules in real time via the enterprise intranet; the Pad terminal supports 4G / 5G wireless connection for accessing the quality inspection module, inspection task module, and non-conforming product module, and supports offline caching, with data automatically synchronized after network recovery;

[0018] The core functional modules are also used for order control, knowledge base, and engineering reports.

[0019] Furthermore, the linkage logic provided by the core functional module linkage layer includes:

[0020] Order control module: Receives production order information and automatically associates it with the corresponding machine tool configuration data; the linkage logic is: pushes the machine tool configuration information associated with the order to the inspection task module, triggering the inspection task generation instruction;

[0021] Inspection Task Module: Based on product information and machine tool configuration data pushed by the order control module, it automatically generates customized inspection checklists; the linkage logic is as follows: the automatically generated checklists are synchronized to the quality inspection module, and the standard parameters of the checklists are pushed to the document analysis and early warning module as the basis for early warning;

[0022] Quality Inspection Module: Supports on-site entry of quality inspection data on the Pad terminal, with intelligent entry function. The entry of quality inspection data includes scanning and entering the product SN code and automatically linking it with order information. The linkage logic is as follows: After the data is entered, it is synchronized to the data storage module in real time for comprehensive saving. Non-conforming data automatically triggers the non-conforming product module to record the data, and at the same time pushes the actual test data to the document analysis and early warning module.

[0023] Furthermore, the linkage logic provided by the core functional module linkage layer also includes:

[0024] Document Analysis and Early Warning Module: Compares the standard parameters of the inspection task module with the actual data of the quality inspection module to monitor anomalies in real time; simultaneously analyzes historical quality inspection documents to identify high-frequency problems; the linkage logic is: to synchronize the abnormal data and high-frequency problem analysis results to the engineering report module to provide a basis for quality analysis.

[0025] Non-conforming product module: Receives non-conforming data pushed by the quality inspection module, automatically records the non-conforming product's serial number (SN), non-conforming item, involved machine tool, quality inspector, and handling suggestions, and supports manual supplementation of handling results; the linkage logic is: data is synchronized to the data storage module for subsequent traceability and report generation.

[0026] Furthermore, the linkage logic provided by the core functional module linkage layer also includes:

[0027] Engineering Report Module: Supports engineers to customize and generate quality inspection tasks via PC, while automatically capturing quality inspection data, non-conforming product data, and machine tool operation data; the linkage logic is: report data comes from the data storage module, and report conclusions are synchronized to the knowledge base module;

[0028] Knowledge Base Module: Supports uploading, editing, and viewing on PC / Pad. Uploaded content includes machine tool quality inspection standards, non-conforming product handling solutions, and historical quality cases. Version management is supported during editing; keyword search is supported during viewing. The linkage logic is as follows: providing non-conforming item reason prompts to the quality inspection module, providing handling suggestions to the non-conforming product module, and providing case references to the engineering report module.

[0029] Furthermore, the three types of reports generated in the engineering report module are: single order quality report, single machine tool quality trend report, and multi-product quality comparison report;

[0030] Among them: the single order quality report is associated with the real-time operating parameters of the corresponding machine tool and the operator information to form a quality file from order triggering to quality inspection completion, which is used to quickly assess the order execution quality and clarify the responsibility attribution;

[0031] The single machine tool quality trend report takes a single machine tool as the analysis object and automatically plots the change curves of key quality indicators over 30 days. The key quality indicators include dimensional error fluctuations, spindle runout frequency, and defect rate trends.

[0032] The multi-product quality comparison report uses visual charts to show the differences in pass rate, defect type, and rework rate among different product models, production lines, or production periods.

[0033] Furthermore, the data storage module in the data application layer is used to comprehensively store the required data, including machine tool configuration, orders, quality inspection records and knowledge base content, and the data application layer is indexed by multiple dimensions such as time, product, machine tool and personnel.

[0034] The data traceability module in the data application layer can retrieve full-link data within 10 seconds after inputting any one or more of the product SN code, order number, and machine tool number. The full-link data includes the process from order generation to quality inspection results and non-conformance handling.

[0035] The data trend analysis module in the data application layer automatically captures historical quality inspection data, generates visual trend reports, and assists in locating machine tool quality problems.

[0036] Furthermore, it also includes the linkage process between the knowledge base module and the quality inspection and non-conforming product modules: through bidirectional data flow and deep linkage with the quality inspection and non-conforming product modules, in the quality inspection stage, when the terminal interaction layer enters the test data, the quality inspection module calls the standard parameters and historical cases in the knowledge base in real time to automatically determine whether the result is qualified; if a non-conforming item is found, the system highlights the cause in red on the interface based on the typical fault cause library pre-stored in the knowledge base, guiding the operator to quickly locate the problem; when the non-conforming product module records defect information, it automatically matches the solution library of similar problems in the knowledge base and pushes structured suggestions to the handling personnel.

[0037] Furthermore, it also includes a full-chain data traceability and trend analysis process: the system automatically associates and aggregates fragmented information scattered across modules such as order control, inspection tasks, quality inspection, and non-conforming products based on the product SN code, forming a full lifecycle data chain with a single product as the core; in the event of a quality problem, after inputting the SN code through the terminal interaction layer, the quality management platform reverse-engineers the complete production information, which includes the real-time configuration parameters of the machine tool, the inspection results and operators of each process, the associated non-conforming product records, and the processing basis.

[0038] The technical solution provided by this invention may include the following beneficial effects:

[0039] 1. This intelligent manufacturing electronic quality management platform reduces the deviation rate of the above three items to below 0.5% by automatically matching machine tool configuration data with inspection items; at the same time, the manual configuration time is shortened from "1-2 hours per order" to "within 10 seconds of automatic system generation", saving a single factory about 200,000-300,000 yuan in inspection configuration labor costs per year.

[0040] 2. This intelligent manufacturing electronic quality management platform achieves "standardized knowledge sharing" through a knowledge base. New employees can quickly obtain operating specifications through searches, shortening the learning cycle to within one week; knowledge transfer efficiency is improved by more than 80%, while avoiding the risk of quality control gaps caused by employee turnover.

[0041] 3. This intelligent manufacturing electronic quality management platform enables full-chain traceability within 10 seconds, with 100% data integrity, covering all stages from order generation to non-conformity handling; when quality problems occur, engineers can quickly locate the responsible link (such as dimensional deviations caused by a certain machine tool configuration), shortening the problem location time from "more than 24 hours" to "within 30 minutes";

[0042] 4. This invention reduces report generation time to within 10 minutes and can predict quality risks through trend analysis (e.g., if a machine tool's error increases with usage time, it suggests early maintenance); after pilot factory application, the product qualification rate increased from 88%-92% to over 97%, and quality problems caused by machine tool failures decreased by 65%.

[0043] 5. This invention achieves 100% completeness of non-conforming product records, and the accuracy of matching suggestions based on historical cases in the knowledge base is ≥95%; the rework rate of non-conforming products is reduced from 30%-40% to below 15%, and scrap losses due to improper handling are reduced by 50%.

[0044] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0045] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0046] Figure 1 This is an overall architecture diagram of an intelligent manufacturing electronic quality management platform proposed in an embodiment of the present invention;

[0047] Figure 2 This is an example of an automatic order retrieval page in one embodiment of the present invention;

[0048] Figure 3 This is a real-time product data analysis page in one embodiment of the present invention;

[0049] Figure 4 This is a defective product record page in one embodiment of the present invention;

[0050] Figure 5 This is a knowledge base sharing page in one embodiment of the present invention;

[0051] Figure 6 This is a quality data analysis page in one embodiment of the present invention. Detailed Implementation

[0052] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the invention, and should not be construed as limiting the invention. Rather, embodiments of the invention include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0053] like Figures 1 to 6 As shown in the figure, this invention proposes an intelligent manufacturing electronic quality management platform, designed with "data acquisition as the foundation, terminal interaction as the carrier, multi-module linkage as the core, and data application as the goal." It achieves intelligent quality inspection, end-to-end data management, and knowledge sharing through the collaboration of equipment and modules. Furthermore, the multi-module linkage solves the inspection problems caused by machine tool configuration. Through the linkage of the "order control-inspection task" module, checklists are automatically generated based on real-time collected machine tool configuration data, significantly reducing missed inspections, incorrect inspections, and multiple inspections caused by different machine tool models / parameters during manual configuration (e.g., automatically removing inspection items exceeding the machine tool's processing range). The specific structure, connection relationships, functions, and linkage logic are as follows:

[0054] This embodiment provides the overall system architecture and the composition of each layer:

[0055] 1. Data Acquisition Layer (Base Layer)

[0056] 1.1 Components: Machine tool equipped with sensors, production parameter acquisition devices (such as temperature / accuracy sensors), and quality inspection data acquisition terminals (barcode scanners, industrial tablets, etc.);

[0057] 1.2 Structural Connection: Sensors are installed on the core components of each machine tool model (such as spindle and guide rail) to collect machine tool model, hardware configuration (such as tool type and machining range), and operating parameters in real time; the production parameter acquisition device is connected to the machine tool control system; the quality inspection data acquisition terminal is deployed at the quality inspection station, and all acquisition devices communicate with the upper-level module through industrial Ethernet;

[0058] 2. Terminal Interaction Layer (Operation Carrier)

[0059] 2.1 Components: PC-based management system (deployed in the quality inspection and engineering departments), and Pad-based mobile application (for use by on-site quality inspectors and engineers);

[0060] 2.1 Structure and Connection: The PC terminal communicates with the core functional modules (order control, knowledge base, and engineering reports) in real time via the enterprise intranet; the Pad terminal supports 4G / 5G wireless connection, can access the quality inspection module, inspection task module, and non-conforming product module, and supports offline caching (data is automatically synchronized after network recovery).

[0061] 2.3 Functions and Roles: Serving as the user operation entry point, it enables "controlling tasks, filling in data, and checking information anytime, anywhere"—on-site personnel use the Pad to fill in quality inspection results, engineers use the PC to configure inspection tasks and edit the knowledge base, and managers use the PC to view data reports, replacing traditional paper records and fixed workstation operations.

[0062] 3. Core Functional Module Linkage Layer (Core Execution Layer)

[0063] This layer is the core of the system, enabling seamless data exchange between modules to achieve full-process linkage of "order-task-quality inspection-analysis-recording". The functions and linkage logic of each module are as follows:

[0064] 3.1 Order Control Module

[0065] Function: Receive production order information (product model, production quantity, delivery cycle) and automatically associate it with the corresponding machine tool configuration data (obtained from the data acquisition layer);

[0066] Linkage logic: Push the machine tool configuration information associated with the order to the "Inspection Task Module" to trigger the inspection task generation instruction.

[0067] 3.2 Inspection Task Module

[0068] Function: Based on the "product information + machine tool configuration data" pushed by the order control module, automatically generate a customized inspection checklist (no manual configuration required) - for example, for "Type A" machine tools, automatically match "Type A machine tool inspection items", remove redundant inspection items that exceed the machine tool configuration, and supplement key items that are prone to problems for this type of machine tool (such as guide rail parallelism).

[0069] Linkage logic: The automatically generated checklist is synchronized to the "Quality Inspection Module" (for the Pad to fill in), and the standard parameters of the checklist are pushed to the "Document Analysis and Early Warning Module" as the basis for early warning.

[0070] 3.3 Quality Inspection Module

[0071] Functions: Supports on-site entry of quality inspection data on the Pad (can scan product SN code to enter, automatically linked to order information), with "intelligent entry" function - such as after entering the test value, the system automatically judges qualified / unqualified (compared with the standard parameters of the inspection table), and unqualified items are automatically highlighted in red and the possible reasons are indicated (by calling the knowledge base module data);

[0072] Linkage logic: After completion, the data is synchronized to the "Data Storage Module" in real time (for comprehensive storage). Non-conforming data automatically triggers the "Non-conforming Product Module" to record the data, and at the same time, pushes the actual test data to the "Document Analysis and Early Warning Module".

[0073] 3.4 Document Analysis and Early Warning Module

[0074] Function: Compares the "standard parameters of the inspection task module" with the "actual data of the quality inspection module" and monitors anomalies in real time. If the test value exceeds the tolerance range, an alarm is triggered within 10 seconds (pop-up window on the Pad and prompt sound on the PC). At the same time, it analyzes historical quality inspection documents to identify high-frequency problems (such as the failure rate of "spindle runout" of a certain model of machine tool exceeding 5%).

[0075] Linkage logic: Synchronize abnormal data and high-frequency problem analysis results to the "Engineering Report Module" to provide a basis for quality analysis.

[0076] 3.5 Non-conforming Product Module

[0077] Function: Receive non-conforming data pushed by the quality inspection module, automatically record "non-conforming product SN code, non-conforming item, machine tool involved, quality inspector, and handling suggestion" (handling suggestions call the solution of similar problems in the knowledge base module), and support manual supplementation of handling results (such as rework / scrap);

[0078] Linkage logic: Data is synchronized to the "data storage module" for subsequent traceability and report generation.

[0079] 3.6 Engineering Report Module

[0080] Function: Supports engineers to customize and generate quality inspection tasks via PC (such as special inspections for a batch of reworked products), and automatically captures "quality inspection data, non-conforming product data, and machine tool operation data" to generate three types of reports:

[0081] 3.6.1 Single Order Quality Report;

[0082] 3.6.2 Single machine tool quality trend report (e.g., changes in non-conformities of a certain machine tool in the past 30 days);

[0083] 3.6.3 Multi-product quality comparison report;

[0084] Linkage logic: Report data originates from the "Data Storage Module," and report conclusions can be synchronized to the "Knowledge Base Module."

[0085] 3.7 Knowledge Base Module

[0086] Features: Supports "upload, edit, and view" operations on PC / Pad devices—uploaded content includes machine tool quality inspection standards, non-conforming product handling solutions, and historical quality cases; version management is supported during editing (keeping modification records); keyword search is supported during viewing (e.g., searching for "vertical machine tool guideway failure" to quickly obtain solutions);

[0087] Linkage logic: Provides the "Quality Inspection Module" with prompts for reasons of non-conformities, provides the "Non-conforming Product Module" with handling suggestions, and provides case references to the "Engineering Report Module", replacing the traditional "human-to-human" knowledge transfer model.

[0088] The knowledge base module works in conjunction with the quality inspection and non-conforming product modules through a two-way data flow. During the quality inspection process, when the terminal interaction layer inputs test data, the quality inspection module calls upon standard parameters and historical cases from the knowledge base in real time to automatically determine whether the result is qualified. If a non-conformity is found, the system highlights the cause in red on the interface based on the pre-stored typical fault cause library in the knowledge base, guiding operators to quickly locate the problem. When recording defect information, the non-conforming product module automatically matches the solution library for similar problems in the knowledge base and pushes structured suggestions to the personnel handling the issue.

[0089] This embodiment provides knowledge-based intelligentization and knowledge sharing: the knowledge base module is linked with the quality inspection and non-conforming product modules, providing real-time operation guidance (such as prompts for the reasons of non-conformities), and replacing the traditional "human-to-human" teaching through the "upload-edit-search" function, thereby improving the efficiency of knowledge transfer and avoiding experience gaps.

[0090] 4. Data Application Layer (Value Output Layer)

[0091] 4.1 Components: Data storage module (using a distributed database), data traceability module, and data trend analysis module;

[0092] 4.2 Functions and uses:

[0093] - Data storage module: comprehensively stores all data (machine tool configuration, orders, quality inspection records, knowledge base content), and supports multi-dimensional indexing by "time, product, machine tool, personnel";

[0094] - Data Traceability Module: Input any one of the following: "Product SN code, order number, machine tool number" to retrieve full-chain data (from order generation to quality inspection results and non-conformance handling) within 10 seconds, achieving "rapid traceability";

[0095] This embodiment also provides a full-link data traceability and trend analysis process: the system automatically associates and aggregates fragmented information scattered across modules such as order control, inspection tasks, quality inspection, and non-conforming products based on the product SN code, forming a full lifecycle data chain with a single product as the core; in the event of a quality problem, after inputting the SN code through the terminal interaction layer, the quality management platform reverse-engineers the complete production information, which includes the real-time configuration parameters of the machine tool, the inspection results and operators of each process, the associated non-conforming product records, and the processing basis;

[0096] - Data Trend Analysis Module: Automatically captures historical quality inspection data and generates visualized trend reports (such as the weekly variation curve of "dimensional error" of a machine tool, and the monthly variation trend of "pass rate" of a product), helping engineers locate machine tool quality problems (such as errors increasing with usage time, indicating the need for maintenance), and providing data support for quality improvement.

[0097] This embodiment also provides a data acquisition alternative: machine tool configuration data acquisition can use "RFID tags" (attached to the machine tool body) to replace sensors, and obtain the machine tool model and configuration parameters by scanning the code on the Pad (suitable for old machine tools without sensor interfaces).

[0098] This embodiment also provides alternative functional modules, specifically including:

[0099] Inspection task generation alternative: In addition to "automatic generation based on order", engineers can manually import inspection table templates in Excel format via PC (suitable for special customized products and scenarios without historical configuration data). The system automatically verifies the matching between the template and the machine tool configuration (prompting for redundant or missing items).

[0100] Report generation alternative: In addition to automatic generation, the engineering report module supports custom report templates (engineers can set the data items and chart types to be displayed) to meet personalized analysis needs.

[0101] In this implementation, through full-chain data traceability and trend analysis: from data collection to report generation, all data is stored in real time and traceable, and trend reports are automatically generated, helping engineers shift from "post-event processing" to "pre-event prevention" (such as predicting machine tool failures through trends).

[0102] In this embodiment, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0103] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0104] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0105] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An intelligent manufacturing electronic quality management platform, characterized in that, The quality management platform includes: a data acquisition layer, a terminal interaction layer, a core functional module linkage layer, and a data application layer; the data acquisition layer includes machine tool configuration sensors, production parameter collectors, and quality inspection data acquisition terminals. The terminal interaction layer is the operation carrier, including a PC-based management system, a Pad-based mobile application, and an industrial mobile phone terminal, with the PC-based management system deployed in the quality inspection and engineering departments. The core functional module linkage layer enables the linkage of the entire process of orders, tasks, quality inspection, analysis, and recording through data exchange between modules; The data application layer includes a data storage module, a data tracing module, and a data trend analysis module. The data storage module uses a distributed database. The linkage logic provided by the core functional module linkage layer includes: Order control module: Receives production order information and automatically associates it with the corresponding machine tool configuration data; the linkage logic is: pushes the machine tool configuration information associated with the order to the inspection task module, triggering the inspection task generation instruction; Inspection Task Module: Based on product information and machine tool configuration data pushed by the order control module, it automatically generates customized inspection checklists; the linkage logic is as follows: the automatically generated checklists are synchronized to the quality inspection module, and the standard parameters of the checklists are pushed to the document analysis and early warning module as the basis for early warning; Quality Inspection Module: Supports on-site data entry for quality inspection via the Pad, featuring intelligent data entry capabilities. This includes scanning and inputting the product's serial number (SN) and automatically linking it to order information. The linkage logic is as follows: After completion, the data is synchronized in real-time to the data storage module for comprehensive saving. Non-conforming data automatically triggers a recording instruction in the non-conforming product module, and simultaneously pushes actual inspection data to the file analysis and early warning module. The linkage logic provided by the core functional module linkage layer also includes: Document Analysis and Early Warning Module: Compares the standard parameters of the inspection task module with the actual data of the quality inspection module to monitor anomalies in real time; simultaneously analyzes historical quality inspection documents to identify high-frequency problems; the linkage logic is: to synchronize the abnormal data and high-frequency problem analysis results to the engineering report module to provide a basis for quality analysis. Non-conforming Product Module: Receives non-conforming data pushed by the quality inspection module, automatically records the non-conforming product's serial number (SN), non-conforming item, involved machine tool, quality inspector, and handling suggestions, and supports manual supplementation of handling results; the linkage logic is as follows: data is synchronized to the data storage module for subsequent traceability and report generation. The linkage logic provided by the core functional module linkage layer also includes: Engineering Report Module: Supports engineers to customize and generate quality inspection tasks via PC, while automatically capturing quality inspection data, non-conforming product data, and machine tool operation data; the linkage logic is: report data comes from the data storage module, and report conclusions are synchronized to the knowledge base module; Knowledge Base Module: Supports uploading, editing, and viewing on PC / Pad. Uploaded content includes machine tool quality inspection standards, non-conforming product handling solutions, and historical quality cases. Version management is supported during editing; keyword search is supported during viewing. The linkage logic is as follows: providing non-conforming item reason prompts to the quality inspection module, providing handling suggestions to the non-conforming product module, and providing case references to the engineering report module.

2. The intelligent manufacturing electronic quality management platform according to claim 1, characterized in that, The machine tool configuration sensors in the data acquisition layer are installed on the core components of each machine tool model to collect machine tool model, hardware configuration, and operating parameters in real time; the production parameter acquisition device interfaces with the machine tool control system. The quality inspection data acquisition terminal is deployed at the quality inspection workstation, and the acquisition device communicates with the upper-level module via industrial Ethernet.

3. The intelligent manufacturing electronic quality management platform according to claim 1, characterized in that, The PC terminal in the terminal interaction layer communicates with the core functional modules in real time through the enterprise intranet; the Pad terminal supports 4G / 5G wireless connection and is used to access the quality inspection module, inspection task module, and non-conforming product module. It supports offline caching and automatically synchronizes data after the network is restored. The core functional modules are also used for order control, knowledge base, and engineering reports.

4. The intelligent manufacturing electronic quality management platform according to claim 1, characterized in that, The engineering report module generates three types of reports: single order quality report, single machine tool quality trend report, and multi-product quality comparison report. Among them: the single order quality report is associated with the real-time operating parameters of the corresponding machine tool and the operator information to form a quality file from order triggering to quality inspection completion, which is used to quickly assess the order execution quality and clarify the responsibility attribution; The single machine tool quality trend report takes a single machine tool as the analysis object and automatically plots the change curves of key quality indicators over 30 days. The key quality indicators include dimensional error fluctuations, spindle runout frequency, and defect rate trends. The multi-product quality comparison report uses visual charts to show the differences in pass rate, defect type, and rework rate among different product models, production lines, or production periods.

5. The intelligent manufacturing electronic quality management platform according to claim 1, characterized in that, The data storage module in the data application layer is used to comprehensively store the required data, including machine tool configuration, orders, quality inspection records and knowledge base content. The data application layer is indexed by multiple dimensions such as time, product, machine tool and personnel. The data traceability module in the data application layer can retrieve full-link data within 10 seconds after inputting any one or more of the product SN code, order number, and machine tool number. The full-link data includes the process from order generation to quality inspection results and non-conformance handling. The data trend analysis module in the data application layer automatically captures historical quality inspection data, generates visual trend reports, and assists in locating machine tool quality problems.

6. The intelligent manufacturing electronic quality management platform according to claim 1, characterized in that, It also includes the linkage process between the knowledge base module and the quality inspection and non-conforming product modules: through bidirectional data flow and deep linkage with the quality inspection and non-conforming product modules, in the quality inspection stage, when the terminal interaction layer enters the test data, the quality inspection module calls the standard parameters and historical cases in the knowledge base in real time to automatically determine whether the result is qualified; if a non-conforming item is found, the system highlights the cause in red on the interface according to the typical fault cause library pre-stored in the knowledge base, guiding the operator to quickly locate the problem; when the non-conforming product module records defect information, it automatically matches the solution library of similar problems in the knowledge base and pushes structured suggestions to the handling personnel.

7. The intelligent manufacturing electronic quality management platform according to claim 5, characterized in that, It also includes a full-chain data traceability and trend analysis process: the system automatically associates and collects fragmented information scattered across modules such as order control, inspection tasks, quality inspection, and non-conforming products based on the product SN code, forming a full lifecycle data chain with a single product as the core; in the event of a quality problem, after inputting the SN code through the terminal interaction layer, the quality management platform reverse-engineers the complete production information, which includes the real-time configuration parameters of the machine tool, the inspection results and operators of each process, the associated non-conforming product records, and the processing basis.

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