126 results about "Quality management system" patented technology

The invention relates to a digital integrated quality management system based on multi-source data fusion, and belongs to the technical field of industrial internet and quality management. A data acquisition layer of the system obtains real-time and static multi-source heterogeneous data through a multi-source adapter; the data processing layer is used for cleaning, converting and standardizing the acquired data; the intelligent analysis layer performs deep analysis and prediction on the data by using an adaptive quality prediction model, an anomaly detection module and a root cause analysis engine; the application service layer displays a quality trend and an anomaly detection result through a visual billboard, and provides credible tracing and collaborative decision-making functions; and the feedback closed layer adjusts system processing logic according to the decision support data to form closed-loop quality control. According to the method, real-time fusion and efficient utilization of multi-source data are realized through a dynamic routing technology, an adaptive quality prediction model and a block chain evidence storage mechanism, and the intelligent level and decision-making efficiency of quality management are remarkably improved.

The invention relates to a fabric flaw detection and traceability system based on edge calculation and computing power scheduling, which is suitable for intelligent quality control in a textile production process. The system comprises an acquisition unit, a modeling unit and the like. The acquisition unit acquires fabric images and environmental data through a multispectral imaging device and a process parameter sensor, and constructs time-aligned multi-modal feature tensors. The modeling unit extracts texture features by using unsupervised comparative learning in combination with fabric material characteristics, and generates potential texture fingerprint vectors. And the detection unit adopts a target detection network of a channel attention mechanism to identify fabric flaws and output positions, types and severity. The traceability unit analyzes correlation between defects and process parameters through time sequence causal reasoning, and constructs a causal atlas. And the optimization unit generates a process optimization vector according to the causal atlas and the risk score, and realizes visual display and edge control feedback, thereby constructing a real-time defect control and explainable traceability-oriented closed-loop quality management system.

The invention provides an urban construction and traffic engineering investigation and design enterprise product quality management system and method. The system comprises a cross-project type quality data fusion module, a dynamic defect evolution prediction module, an intelligent layered spot check engine, a three-dimensional quality situation deduction module, a conference knowledge graph construction module, a result influence evaluation module and a self-adaptive file management system. All the modules are connected through a unified data bus to form a closed-loop management process of quality data acquisition, analysis, decision and feedback. According to the system, through the functions of multi-modal data fusion, defect prediction, intelligent spot check, situation deduction, knowledge precipitation, achievement evaluation, file management and the like, the whole-process intelligent management and control of the project quality are realized, and the management efficiency and the decision scientificity are improved.

The invention discloses a wind power generation ring forging three-dimensional design and quality management system based on 5G communication, and belongs to the technical field of wind power equipment manufacturing. The system comprises a modeling module used for constructing a parameterized three-dimensional design model and outputting design parameters used for quality evaluation and defect identification; the process data acquisition module acquires process data such as temperature, pressure and vibration of the key structure area in real time; the defect identification module fuses the image and the signal data, and outputs defect types, positions and sensitivity influences thereof; the quality evaluation module performs quantitative scoring on the product quality based on the scoring function and the disturbance response parameters; the feedback regulation and control module identifies the dominant deviation and generates a regulation and control instruction when the score is abnormal; and the 5G communication module realizes high-speed data interaction between the modules. The method realizes closed-loop control of design, manufacturing, detection and evaluation, improves the manufacturing quality and efficiency of ring forgings, and is suitable for manufacturing scenes of large-size and high-reliability wind power structural members.

The invention relates to the field of group quality management, in particular to a group quality management system and method based on a dynamic data source. Comprising a data source management module, a quality data acquisition module, a quality data storage and management module, a quality data analysis and statistics module, a quality control and decision support module, a user management and authority control module and a system setting and management module which are connected through data interfaces, the data flow, the use frequency and the updating condition are monitored, and an early warning mechanism for data source connection abnormity, data access timeout and data conflict is arranged. According to the method, data integration and sharing can be improved, the accuracy of data quality is improved, user experience is improved, and safety is enhanced. According to the method, quality abnormity and fluctuation can be quickly and accurately found, targeted control measures are taken in time, quality problems are restrained in the bud state, and defective products and waste products are effectively reduced.

The invention provides an efficient quality management system for a cement production line, and the system comprises an online analysis device which is used for obtaining the chemical component data of a raw material and the technological parameters in the production process; the data processing unit is used for preprocessing the chemical component data and the process parameters to obtain standardized data; the mathematical model is obtained based on historical production data and product quality target training and used for predicting product quality according to the standardized data; the data acquisition module is used for continuously acquiring real-time data in the production process and forming a dynamic data set; the model optimization unit is used for carrying out iterative optimization on the mathematical model by utilizing the dynamic data set; the automatic equipment is used for executing raw material ratio adjustment and process parameter optimization according to the optimized control strategy; and the quality detection equipment is used for detecting the final product in real time, acquiring key index data and comparing the key index data with a preset quality target to form a closed-loop feedback mechanism.

The invention discloses a full-link quality tracing method driven by batch of a process card, relates to the technical field of intelligent manufacturing and quality tracing, and aims to automatically generate a dynamic process card batch number through PDA code scanning and work reporting and realize full-process seamless association and tracing from material picking, film spraying, bag making to inspection. According to the method, a defect propagation path prediction mechanism is innovatively introduced, all associated batches are automatically locked when a certain batch is detected to be bad based on the BOM topological relation, the traditional tracing time is compressed from the hour level to the second level, and the quality problem response speed and accuracy are greatly improved. Meanwhile, the system intelligently recommends the optimal reworking path in combination with historical reworking data, the reworking time can be reduced by about 40%, and the production efficiency and the resource utilization rate are remarkably improved. According to the technology, real-time acquisition, dynamic analysis and intelligent decision support of quality data are realized, and core technical support is provided for an enterprise to construct an efficient, transparent and traceable full-link quality management system.

The invention discloses a construction method of an enterprise quality management standardization system, and relates to the technical field of electric digital data processing. Firstly, historical process data of each quality management process is monitored and obtained, the root of a quality problem can be identified and tracked, data support is provided for improvement of the quality management process, accumulated production data is called, corresponding process management configuration is executed, production dynamics and internal quality management can be closely linked, and the quality management efficiency is improved. The method is advantaged in that improvement of adaptability and competitiveness of products is facilitated, then production data of each quality management process is acquired and processed, real-time production process monitoring, timely discovery and solving of problems in production and production process optimization of enterprises are facilitated, and finally a quality comprehensive evaluation result of each quality management process is acquired through comprehensive analysis. And then standardized management configuration is performed on each quality management process, so that the efficiency of an enterprise quality management system can be improved, human errors are reduced, and the standardization and reliability of enterprise quality management are enhanced.

The invention discloses a product quality management system and method for factory production, relates to the technical field of product quality management, and solves the technical problems that data analysis lacks scientific and rigorous definition, roots are not deeply classified and checked, and potential laws are not mined by associating historical data. The production information acquisition unit captures multi-production-line data in a centralized manner through one-time input and whole-process sharing, seamless connection quality analysis, information barrier breaking and quality control data foundation stone tamping, so that response of each link is more rapid, multi-round sampling is innovated, a production line quality detection value is determined through mean value calculation, the production line quality detection value is compared with a preset value, production line categories are accurately divided, and the production line quality detection efficiency is improved. The abnormity comprehensive analysis unit is used for analyzing paths according to production line state subdivision, mining and classifying abnormity reasons, and counting related defective product quantity sorting and focusing key problems; the source output information of a single abnormal line is quickly checked; and a single normal line skillfully uses historical matching to pre-judge a trend, and variable-condition grading early warning is performed according to the quantity.

The invention provides an industrial building two-dimensional and three-dimensional collaborative design management system and a three-dimensional task decomposition method. The industrial building two-dimensional and three-dimensional collaborative design management system comprises a project management module, and the project management module comprises a two-dimensional collaborative design module, a three-dimensional collaborative design module and a design task management module. According to the invention, two-dimensional and three-dimensional collaborative design management in the field of industrial building design is realized, data transmission obstacles among common software CAD, REVIT and PDMS of building design and industrial design are broken through, and component-level data circulation is realized in collaborative design, verification and management processes; on the basis of the framework, business requirements of designers and management requirements of managers are expanded and analyzed, a complete set of project quality management system and production management logic serving two-dimensional and three-dimensional design are supplemented and perfected, and a digital management function is realized.

The invention relates to the technical field of data management of intelligent manufacturing, and particularly discloses a 12-shaft PCB drilling machine production data acquisition and quality management system, which is characterized in that high-speed sensors are mounted on shafts of a drilling machine to acquire speed and pressure data in a drilling process in real time; a speed change rate characteristic value and a pressure stability characteristic value are extracted by adopting a method of combining differential speed analysis with Haar wavelet transform, zero-sequence pressure processing and principal component analysis, the two types of characteristic values are fused into a drilling quality characteristic vector, the drilling quality characteristic vector is input into a quality analysis model based on gradient boosting tree training, and the drilling quality is obtained. Intelligent evaluation and prediction of the drilling quality are realized, when quality abnormity is detected, the system automatically generates early warning information, and operation parameters of the drilling machine are dynamically adjusted in combination with a PID control algorithm, so that a closed-loop quality control mechanism is formed.

This invention relates to a fabric defect detection and traceability system based on edge computing and computing power scheduling, applicable to intelligent quality control in textile production processes. The system includes a data acquisition unit and a modeling unit. The data acquisition unit acquires fabric images and environmental data through multispectral imaging equipment and process parameter sensors, and constructs a time-aligned multimodal feature tensor. The modeling unit combines fabric material characteristics and uses unsupervised contrastive learning to extract texture features and generate potential texture fingerprint vectors. The detection unit uses a target detection network with a channel attention mechanism to identify fabric defects and outputs their location, type, and severity. The traceability unit analyzes the correlation between defects and process parameters through temporal causal reasoning, constructing a causal graph. The optimization unit generates process optimization vectors based on the causal graph and risk score, and realizes visualization and edge control feedback, thereby constructing a closed-loop quality management system for real-time defect control and interpretable traceability.

The invention relates to the field of quality management optimization, and discloses a vaccine clinical test quality management system optimization method and system, and the method comprises the steps: obtaining vaccine clinical test data of a target test group, building an interaction information network according to the extracted case sharing test information, carrying out the node graph convolution propagation of the interaction information network, and obtaining a target test group; a structural information embedding vector is obtained, a structural outlier center of vaccine clinical test data is identified, abnormal type hierarchical analysis is performed on the structural outlier center to obtain a quality deviation classification result, and a local structural abnormal cluster is identified according to an acquired abnormal propagation path. And generating a local quality control strategy according to the quality deviation classification result and the local structural anomaly cluster, and optimizing the vaccine clinical test quality management system. According to the method, the structural outlier center in the vaccine clinical test data can be effectively captured and the test data interaction diagram structure can be constructed in the vaccine clinical test data lacking a natural interaction network.

The invention discloses an electromechanical pipeline installation quality management system and method based on data analysis, and relates to the technical field of electromechanical pipeline installation management, and the system comprises an electromechanical pipeline installation monitoring module, an abnormity monitoring data collection module, a quality abnormity tracing module, and a construction quality management module. The electromechanical pipeline installation monitoring module is used for monitoring the installation quality of the electromechanical wire pipe, early warning of the abnormal installation quality is carried out when the installation deviation of the electromechanical wire pipe is monitored, and the abnormal monitoring data acquisition module is used for acquiring the historical installation data of the electromechanical wire pipe and the installation deviation data of the electromechanical wire pipe caused by different reasons; when it is monitored that the currently-installed electromechanical wire pipe deviates through a quality abnormity tracing module, the reason of installation quality abnormity is traced; and the construction quality management module plans the current line pipe installation quality inspection work, so that the reasons for the decline of the line pipe installation quality can be quickly found, measures can be taken in time to guarantee the installation quality, and the electromechanical line installation efficiency is improved.

The invention discloses a QMS-based building construction quality management system, method, equipment and medium, and the system comprises a project information management module, a quality standard setting module, a construction process monitoring module, a quality detection and evaluation module, a problem rectification and tracking module, a data analysis and decision support module and a system interface module which have corresponding functions and performance indexes. For example, the information storage integrity is more than 98%, the quality standard setting accuracy is more than 95%, an innovative formula is used for quality evaluation, and equipment and media have clear requirements, so that efficient and accurate building construction quality management is realized; the system improves the building construction quality management efficiency and precision, guarantees that the quality reaches the standard, reduces the risk, improves the benefits, promotes the quality improvement and technical progress of the building industry through the functions of precise evaluation, efficient rectification, intelligent decision making and the like, and has a remarkable application value.

The invention discloses an intelligent accurate data quality management system, method and device, and relates to the technical field of data quality management. When a rule is changed, a rule updating event is generated and published through Kafka, when the rule is updated, the difference between a new rule and an old rule is detected, and when the difference exceeds the expectation, a rollback mechanism is automatically triggered, so that the accuracy of the data quality management is improved. Verifying the preprocessed data by using a preset rule, classifying the abnormal data to obtain a plurality of abnormal data classes, and automatically correcting the classified abnormal data; identifying and classifying abnormal data which still cannot be corrected, migrating an isolated data class obtained by identification to an isolated queue from a main data stream, retaining the abnormal data which cannot be processed immediately in the isolated queue, and regularly reminding a data receiving end to process the abnormal data; and the exceptions which cannot be processed in real time are continuously left in the isolation queue, and a data receiving end is notified at a constrained reminding frequency so as to ensure that the potential high-risk exceptions are not accumulated for a long time.

A data collection and management system designed for real-time monitoring of welding systems in refinery and petrochemical environments is disclosed. The system includes a data collection module integrated with sensors to automatically capture data from welding equipment (i.e., welder) using multiple protocols such as IoT and OPC. A database management module stores the data in a structured SQL database with indexing and search capabilities. A barcode generation and scanning module allows for quick data retrieval and updates by generating unique barcodes for welded components and documents. An AI module tracks equipment usage, efficiency, and downtime, predicting future maintenance needs and generating audit trails. A reporting module provides real-time visualization through interactive dashboards and generates automated reports for compliance and performance reviews. In one embodiment, a method enables efficient project management by comparing real-time equipment usage with predefined requirements and generating notifications for deviations.

The invention discloses an automobile safety part welding quality management system, and relates to the field of quality detection. Comprising a data acquisition layer for acquiring multi-dimensional data of a weldment by using weldment quality detection equipment; the data processing layer is used for processing the collected data, a defect evaluation model is arranged in the data processing layer, processed output is input into the defect evaluation model, and a weldment quality evaluation result is output; and the defect classification module is used for classifying the weldments with defects according to the output quality evaluation result. By establishing the standardized welding data management system, on one hand, welding quality evaluation can be carried out after welding multi-dimensional data are collected and fused, the welding quality evaluation precision is improved, on the other hand, welding defective weldments are classified, analysis and welding process optimization are facilitated, and the welding quality is improved. And meanwhile, distributed storage is adopted for data storage, and dynamic space optimization can be performed on each storage unit, so that data over-limit loss is prevented, and the data read-write operation fluency of the system is also improved.

The invention discloses a water conservancy project construction progress and quality management system and method, and belongs to the technical field of water conservancy project construction progress and quality management, and the method comprises the steps: S1, obtaining real-time construction parameters, a design reference value and environment load data; s2, based on the real-time construction parameters and the design reference value, calculating to obtain a comprehensive construction deviation index; s3, combining the building information model data and the comprehensive construction deviation index to construct a digital twinborn model containing an initial defect; s4, based on the digital twinborn model containing the initial defect, coupling the comprehensive construction deviation index and the environmental load data, and calculating to obtain an accumulated damage factor; and S5, determining a long-term health degree score based on the accumulated damage factors, and laying an accurate mathematical foundation for subsequent full life cycle performance prediction.

The invention relates to the field of engineering management, and particularly discloses a quality management system and method for engineering construction, and the method comprises the steps: firstly carrying out the preprocessing of a BIM model, and constructing a reference frame integrating visual features and spatial geometric information; when a problem image shot by a mobile terminal at a construction site is received, a computer vision and space calculation technology is introduced, a two-dimensional field image is analyzed into an accurate pose of a shooting camera in a three-dimensional BIM space, and sight line tracing is automatically performed in a BIM digital model based on the accurate pose. And intelligently inferring and retrieving candidate components which are highly matched with the perspective of the problem. And finally, on-site unstructured problem data and the unique identifier of the BIM component are firmly bound through lightweight interaction confirmation with the user, and a standardized structured problem record is obtained. Therefore, the problems of low manual positioning efficiency and unstable association can be solved, and the whole-process intelligent closed loop of quality problem data from acquisition to structured storage is realized.

Systems and methods for improving query creation and AQM are provided. A user interface is provided that allows an analyst to generate and test queries. After the analyst provides a query, one or more subsets of previous call center interactions are selected to test the provided query using methods such as a large language model or string vectorization. Once the subsets of interactions are selected, an LLM is used to evaluate the query against the subset. The evaluations may indicate interactions which were positive and which interactions were negative and may include quotes from the interactions that support the evaluations. The evaluations are presented to the analyst for review, and the analyst may revise the query in view of the evaluations. Once the analyst is satisfied with the performance of the query, the query may be used by the LLM to perform AQM for new interactions in the call center.

The invention discloses a positioning and anchoring device and method for a foam core mold and a reinforcement cage of a hollow slab girder, the device comprises a connecting part connected with the foam core mold, an anchoring part for anchoring the reinforcement cage, a positioning part positioned on a pedestal and a bolt connecting pair, and quick installation and reutilization are realized through a threaded connection and bolt fixing technology. According to the method, a real-time monitoring system is introduced, a correction instruction is generated in combination with data collection and a closed-loop control algorithm, constructors are assisted in accurately adjusting the position of the reinforcement cage, and dynamic errors in the pouring and vibrating process are effectively restrained. And meanwhile, a data-driven quality management system is constructed, and digital recording and process optimization of the construction process are realized. According to the invention, multiple construction scenes are compatible through modular design, the positioning precision and the construction efficiency are remarkably improved, the material waste is reduced, and a reliable guarantee is provided for the structural safety and durability of the prefabricated hollow slab beam.

The invention discloses a quality management system evaluation and authentication system based on multi-source heterogeneous data processing, and belongs to the technical field of quality management. A quality management system evaluation and authentication system based on multi-source heterogeneous data processing comprises a data acquisition module, a data preprocessing module, a data fusion module, a data analysis module, a quality management system grading model, an evaluation and authentication module and a user management and interaction module. According to the invention, the problems of single data source, need of manual acquisition of evaluation data and poor evaluation efficiency in evaluation authentication of the existing quality management system are solved. Through automatic acquisition and processing of the multi-source heterogeneous data, the comprehensiveness and accuracy of the data are remarkably improved, the labor cost is greatly reduced, the evaluation efficiency and quality are improved, and a more reliable quality management evaluation result is provided for enterprises.

The embodiment of the invention provides a quality management system authentication contract review code matching model construction and prediction method and a quality management system authentication contract review code matching model construction method. Comprising the following steps: collecting CNAS39 large-class code system data, business license operation range expression data of each industry, historical review case data and policies and regulations which are published by a supervision department and are about the consistency of an authentication range and a business license range, and constructing a professional knowledge base according to the collected data and the policies and regulations; pre-training a language model by using the professional knowledge base to obtain a pre-trained language model; and training data is constructed according to the historical review case data, the pre-training language model is finely adjusted by adjusting hyper-parameters, and a code matching model for quality management system authentication contract review is obtained.

The present invention discloses a three-dimensional design and quality management system for wind power ring forgings based on 5G communication, which belongs to the field of wind power equipment manufacturing technology. The system includes: a modeling module for constructing a parametric three-dimensional design model and outputting design parameters for quality assessment and defect identification; a process data acquisition module for real-time acquisition of process data such as temperature, pressure, and vibration in key structural areas; a defect identification module for fusing image and signal data, and outputting defect type, location, and its sensitivity impact; a quality assessment module for quantitatively scoring product quality based on a scoring function and disturbance response parameters; a feedback control module for identifying dominant deviations and generating control instructions when the scoring is abnormal; and a 5G communication module for realizing high-speed data interaction between modules. The present invention realizes closed-loop control of design, manufacturing, testing, and evaluation, improves the manufacturing quality and efficiency of ring forgings, and is suitable for the manufacturing scenarios of large-scale, high-reliability wind power structural parts.

[Problem] The present invention addresses the following problems. To produce a urine storage bag that, while retaining the sealed structure of a sealed urine storage bag circuit that is a urine collection kit currently in common use, does not require any mechanical or electrical drive or control mechanism, and that has a structure and function, when used as a constituent element in the kit, to serve as a continuous outflow system through the operation of the siphon principle because of the mass and potential energy of urine, pressure and abdominal pressure due to the natural filling and contraction of the urinary bladder, and the structure and function of the bag. To form a urine collection kit by combining members other than the bag with conventional constituent components. To develop a closed siphon-creating bag that, even if there is a first height difference in which the bag is higher than an outflow source or a second height difference in which an inflow tube is lower than an inflow port of the bag, serves as a closed siphon-creating continuous outflow bag circuit in which there is continuous outflow to the urine storage bag. [Solution] A quality management system was constructed by taking as a basis a suction-type closed siphon-creating bag that relies on reduction in initial siphon pressure due to negative pressure resulting from the siphon principle and a shape memory function that is exhibited because of closed format due to the material and shape of the bag, and also due to additional negative pressure. In the system, a conventional urine collection kit is made to function as a continuous outflow system circuit, and a series of procedures and mechanisms are included for quality management of the urine collection kit as a continuous outflow system circuit. Standards were planned and quality was tested in advance to devise a stable and safe continuous outflow system circuit, a closed siphon-creating bag of an engine portion thereof, and a quality management system therefor.

The application discloses a large-size photovoltaic cell doping / oxidation / annealing process adaptive quality management system, which comprises a data acquisition layer, an intelligent decision-making layer and a control execution layer; the data acquisition layer collects process parameters through doping, oxidation and annealing PLC systems, constructs a time-space aligned process data cube, and outputs a multi-dimensional feature matrix containing time x process x parameter; the intelligent decision-making layer analyzes the multi-dimensional feature matrix by using a random forest hidden crack classification model and outputs a hidden crack risk grade; the control execution layer comprises a dynamic compensation strategy composed of a diffusion furnace temperature control module and an annealing cooling compensator, is used for generating an OPC UA instruction according to the hidden crack risk grade, and triggers an annealing furnace PID regulator through the OPC UA instruction to dynamically adjust process parameters of the annealing furnace; the application solves the data island problem by integrating multi-process PLC data and the random forest model, realizes high-precision hidden crack prediction, and significantly improves the quality detection efficiency.

The invention discloses an ecological environment monitoring quality management system, and relates to the technical field of environment monitoring, and the system comprises an ecological monitoring end, an early warning adjustment end and a water quality management end, and the ecological monitoring end is used for monitoring an ecological environment and a utilization execution project of surrounding water resources in real time; the early warning adjustment end is used for predicting future parameters of the ecological environment in real time through environment parameters at the current moment and predicting whether water resources are abnormal or not through water quality standard parameters, and the water quality management end is used for conducting water source diffusion on areas with abnormal water resource utilization in real time through prediction of the ecological environment and prediction of water resource utilization rationality. According to the ecological environment monitoring quality management system, the real-time feedback of the influence of ecological environment monitoring on the water quality is increased, when the water quality is abnormal due to the change of the ecological environment, prevention can be carried out in advance, the accuracy deviation of ecological environment monitoring is avoided, variable water resources are effectively utilized for resource adjustment, and the feasibility of water resource utilization is improved.

The application relates to the technical field of quality management systems, and particularly discloses a textile dyeing production quality management system based on multi-source data monitoring, which comprises the following modules: a critical recognition module that constructs a continuous airflow field model and identifies a vortex core area in combination with dynamic modal decomposition; a migration analysis module that maps the vortex core area to a dye concentration gradient field and identifies a vortex dominant linkage; a migration analysis module that couples and constructs an airflow-dye coupling transfer function, quantifies migration intensity and obtains a migration intensity index; an inter-cluster extraction module that extracts color difference surge clusters based on the migration intensity index and quantifies features; and a convergence control module that judges and controls effects through a convergence regression model, so as to realize dynamic convergence regulation. The present application integrates multi-source data and physical models, realizes intelligent monitoring of the whole process from migration risk early warning, driving mechanism identification to active control, and improves the uniformity of textile dyeing and the stability of production.

The invention provides a quality data multi-index cross-domain NLP enhanced retrieval and computing power sharing method, which comprises the following steps of: establishing a group headquarter cross-domain quality intelligent platform as a central nervous, and configuring an intelligent retrieval service and data exchange engine basic capability unit for each hierarchical subject; secondly, the basic-level quality management system is connected to the quality intelligent service system to form hierarchical association; and finally, realizing cross-domain retrieval and computing power sharing through intelligent identification, matching functions and cross-node data transmission. According to the method, the data integration problem is solved through the quality information exchange directory, and comprehensive integration and efficient utilization of the quality data are realized; the service collaboration problem is solved through cross-domain data interaction and collaboration, and the collaboration efficiency and the product quality control precision are improved; the technical adaptation problem is solved by deploying a platform and an engine and sharing basic computing power, and stable interaction of data and deep application of the AI technology are guaranteed.