122 results about "Quality management" patented technology

The invention relates to the technical field of computers, discloses a product full-process quality monitoring method and system based on big data, and aims to solve the problem of insufficient quality management refinement caused by data islands, monitoring lag, tracing difficulty and single analysis dimension in the prior art. The method comprises the following steps: constructing a full-process data acquisition system covering design, materials, production, logistics and after-sale, integrating multi-source heterogeneous data, and performing cleaning and time alignment; using an LSTM and GRU mixed model to extract time sequence features of the process parameters, and generating a high-dimensional process feature vector; and constructing a material-process-quality association knowledge graph in combination with the graph attention network, and representing the internal association of the quality influence factors of each link. According to the scheme, full-process data fusion, active quality prediction, accurate traceability and intelligent optimization are realized, and the real-time performance, the accuracy and the self-adaptive capability of quality control are remarkably improved.

The invention discloses a supply chain quality collaboration method and system based on a block chain, and relates to the technical field of block chain and supply chain quality management, and the method comprises the steps: collecting quality events according to a batch quality collaboration baseline table, generating a credible collection proof package and a to-be-verified quality event queue, executing dynamic endorsement verification, and writing the dynamic endorsement verification into a quality event account book, outputting a batch state table and an under-chain evidence pointer; performing rapid detection and judgment based on the batch state table and the under-chain evidence pointer, generating a pre-release report and establishing a pre-release mapping table; and triggering a difference correction contract according to the pre-release mapping table, updating the batch state table, generating a collaborative work order, pushing a quality collaborative strategy instruction, and outputting a quality collaborative closed-loop record. According to the method, the risk feedback analysis result table is generated by auditing and evaluating the quality collaborative closed-loop record, the risk layering strategy table is revised, and the batch quality collaborative baseline table is updated, so that the key field constraint is continuously calibrated, and the traceability and consistency of collaborative processing are improved.

The invention discloses an intelligent project implementation management system and method based on multi-source perception fusion, and aims to solve the problems of information isolated island, response lag, experience dependence, extensive management and control and the like in an engineering project. According to the system, multi-source data acquisition is carried out through an Internet of Things sensor, a video monitor, a mobile terminal, a BIM / GIS, a project management platform and the like, and after space-time alignment and standardization processing are carried out, a unified situation awareness view is constructed by adopting a hierarchical fusion strategy; performing real-time intelligent evaluation and prediction on progress, quality, safety, cost and resources based on the fused data; a rectification, scheduling or early warning instruction is automatically generated, and a sensing-analysis-decision-execution closed loop is realized by pushing and linking a field execution system through multiple channels; according to the method, the safety prevention and control, quality control and progress performance capabilities are remarkably improved, the accident rate and cost are reduced, and project management is promoted to be transformed and upgraded to a refined, active and self-evolution direction.

The invention relates to the technical field of gas appliance quality control, and discloses a quality data analysis management system based on gas appliance production and after-sales service. A data acquisition module of the system acquires a process parameter time sequence from a distributed production terminal, and acquires a running state alarm event flow from a user service terminal in real time; the feature analysis module performs abnormal fluctuation compensation on a process parameter time sequence in a quality information fusion analysis mode, generates a multi-dimensional quality defect feature spectrum and determines a process tracing period; the risk conduction module obtains part circulation path information and analyzes defect correlation characteristics to obtain quality coupling data, and the production batch quality safety situation level is determined in combination with an alarm event flow; and the regulation and control execution module intervenes the full-life-cycle dynamic quality management and control blind area according to the process tracing cycle and the quality safety situation level. The system realizes integrated management of production and after-sales service quality data, and improves the effectiveness of quality management and control.

The invention discloses a product image-text and document association identifier generation method fusing a PLM coding rule, relates to the technical field of product data management, and is used for solving the problem that an image-text and document association identifier is not clear. According to the method, document information vectors are constructed by fusing PLM coding rules and collecting document metadata of design drawings, process documents, quality management and bill-of-material systems, an image-text document structure mapping chain is generated through a structure mapping judgment model, a unique association identifier of the image-text document is generated in combination with a preset template, and the unique association identifier of the image-text document is obtained. And real-time updating is carried out during structure replacement, hierarchical reconstruction or configuration change, cross-system serial number semantic alignment is realized through a heterogeneous coding analysis rule base, heterogeneous naming conflicts are solved, identifiers are written into a product data management platform, an index relationship is established, hierarchical retrieval, version switching and historical backtracking are supported, and the product data management efficiency is improved. And the consistency and cooperation efficiency of product research and development and quality control are improved.

The invention relates to industrial data management, more particularly belongs to the technical field of industrial internet, and particularly relates to a construction quality management method and system based on a digital power plant, and the method comprises the steps: defining a construction quality acceptance threshold value of the power plant through analyzing a defect generation mode of the power plant in a construction process; determining a key process control period when the power plant reaches a quality acceptance threshold according to the constructed power plant adaptive quality control list; simulating a construction process of executing the self-adaptive quality control list by the power plant, and recording controllable process parameters in the simulation process; establishing a construction quality risk cloud picture of the power plant, and calculating a defect evolution rate corresponding to the construction quality risk cloud picture; and according to the defect evolution rate, generating a dynamic parameter regulation and control strategy set of the adaptive quality management and control list to output a construction quality management result of the power plant. According to the invention, accurate control of construction quality management can be realized, and the construction quality and safety of a power plant are guaranteed.

The invention relates to the technical field of metal industry chain quality management, and discloses a key metal industry chain quality collaborative improvement method based on a quality atlas, and the method comprises the steps: collecting local quality data of each enterprise of a metal industry chain, and carrying out the preprocessing; extracting quality knowledge based on the standardized data set to preliminarily construct a quality map, and fusing and complementing the quality map; mining quality influence factor association; carrying out quality abnormity intelligent diagnosis by fusing statistical detection and map reasoning; constructing a digital twinborn simulation model, and carrying out collaborative optimization on each link of an industrial chain by adopting a hierarchical decision framework; the industrial chain quality collaborative optimization scheme is executed in stages, continuous monitoring feedback is carried out, and an optimization implementation effect report is obtained; according to the invention, through construction of the quality map covering the whole industrial chain and intelligent correlation analysis, key factors influencing the quality of the terminal product can be accurately identified, and accurate quality control is realized.

The invention discloses an automobile aluminum ornament product quality inspection method based on big data, particularly relates to the field of quality management and quality inspection decision, and is used for solving the problem that existing aluminum ornament quality inspection depends on fixed rules and experience judgment and is difficult to dynamically optimize quality inspection performance and resource allocation in combination with after-sales quality information. According to the method, structured processing and damage mode division are performed on vehicle after-sales damage data, key process features are extracted in combination with production process time sequence data, and a defect early propagation model is constructed, so that prediction of occurrence probabilities of different defect types is realized; on the basis, a multi-layer hierarchical quality inspection strategy is dynamically generated according to the defect risk level, quality inspection execution cost and historical quality loss cost are integrated, and quality inspection performance indexes of a next production cycle are output through multi-objective optimization, so that the scientificity and decision value of quality risk management are improved while the cost is controlled, and the quality risk management efficiency is improved. Therefore, the management requirements of refined operation and cost constraint are met.

The invention relates to the technical field of quality management, in particular to a stamping hardware quality management method and system. Obtaining input production batch information and production event context information; acquiring quality data uploaded by the automatic detection equipment and associated detection context information, wherein the detection context information comprises detection time, a detection equipment identifier and a batch identifier; performing multi-dimensional consistency evaluation based on the production batch information, the production event context information and the detection context information; according to a result of the multi-dimensional consistency evaluation, performing association judgment and establishing an association relationship between the quality data and the production batch information; and marking the quality data which cannot establish the association relationship through association judgment, and prompting workers to check. The technical problem that in large-scale production of stamped hardware, due to the fact that batch information input is inconsistent or wrong, association between quality data and actual production batches is disordered is solved.

The invention provides a mechanism special for full-automatic positioning of MINILED products, and relates to the technical field of LED product production and machining. The first width adjusting module is arranged on the rack and used for adjusting and positioning the product in the first direction; the second width adjusting module is arranged on the rack and used for adjusting and positioning the product in the second direction, and the second direction is perpendicular to the first direction; and the lifting table is arranged on the rack in a lifting mode through a lifting hydraulic cylinder, and the lifting table is located between the first positioning edge mechanism and the third positioning edge mechanism and located between the second positioning edge mechanism and the fourth positioning edge mechanism. High-automation and intelligent production is achieved, the production flexibility and the production changing efficiency are improved, the information tracing function is integrated, quality management is enabled, positioning is accurate and reliable, the machining quality is guaranteed, the structural design is compact and reasonable, and universality is high.

The invention relates to the technical field of manufacturing traceability, in particular to a product traceability method and system for an automatic laminating machine, and the method comprises the following steps: obtaining a head direction and state change, extracting a path direction and a code, recognizing a change node, judging a connection relation, connecting a path, and associating a task with a path number. And analyzing interval and station change, adding serial numbers, and writing task data to generate fitting process traceability chain content. According to the method, through dynamic data acquisition and analysis and whole-process monitoring and automatic recording of the fitting process, the real-time performance and integrity of data are improved, positioning of track change nodes and connection of path segments are achieved, state changes of each stage are kept to be captured in time, the states of the path segments and the stations are intelligently analyzed, linkage between links is optimized, and the efficiency is improved. The execution continuity is improved, human intervention and errors are reduced, the traceability from the task source to the execution process is enhanced, and the transparency and controllability of product quality management are improved.

The invention relates to the technical field of quality management traceability, and particularly discloses an aromatic beverage production quality traceability and process intelligent management system, which comprises an initialization module for acquiring spectral data of raw materials, extracting raw material characteristic data based on the spectral data and generating initial packaging parameters; the real-time acquisition module is used for acquiring filling procedure parameters, sealing procedure parameters and environment control parameters in real time in the beverage production process; the optimization module is used for inputting the collected filling procedure parameters, the collected sealing procedure parameters and the collected environment control parameters into a decoupling algorithm to obtain mutually independent characteristic parameters; calculating a parameter adjustment amount through an optimization algorithm based on the difference between the feature parameter and a preset target parameter; and the control module is used for updating equipment control parameters according to the parameter adjustment quantity and executing corresponding equipment adjustment operation. The method can play a significant role in improving the product stability, enhancing the process control capability and perfecting the quality traceability.

The application discloses a demand traceability method based on an OSLC standard, and comprises the following steps: step S1, developing a demand software adapter; step S2, developing a modeling software adapter; step S3, designing a client application to acquire and display data; step S4, establishing a traceability relationship between demands and models; step S5, realizing query and visual display of the traceability relationship; and step S6, realizing demand change influence analysis. The application fully utilizes the OSLC standard, realizes seamless integration of heterogeneous tools without large-scale modification through data standardization of demand software and modeling software, greatly improves the universality and interoperability between tools, effectively reduces implementation cost, provides bidirectional traceability capability between demands and models, ensures demand integrity and model consistency, and significantly improves the quality management capability in a system development process.

The invention provides a quality performance evaluation method and device, electronic equipment, a medium and a program product, and relates to the technical field of computers. The quality performance evaluation method comprises the steps that fusion processing is carried out on different types of quality related data collected from a multi-source heterogeneous data system to obtain multi-dimensional quality fusion data, and the quality related data represents data related to quality management; quantitative characteristics of the quality performance are obtained; an evaluation model which is adaptive to the quantitative characteristics and has multi-dimensional quality performance indexes is constructed based on the domain requirements and the business scenes, and the evaluation model determines the weights of the performance indexes based on an analytic hierarchy process; and inputting the quantitative characteristics of the quality performance into the evaluation model to obtain a quality performance evaluation result. Through the technical scheme disclosed by the invention, dominant indexes and potential association rules of all links of quality management are comprehensively captured, so that the objectivity, accuracy and systematicness of evaluation results are improved.

The invention relates to the field of equipment production, in particular to a quality threshold constraint-based construction period control method and system. According to the quality threshold constraint-based construction period control method and system provided by the invention, quality attenuation modeling is carried out by fusing factors such as production fluctuation perception, quantified overtime, delay and the like which capture order demand change and production resource state change in real time, the construction period, resources and quality collaborative optimization are planned as a whole, and the quality control accuracy is improved. According to the method, a traditional post-test type static back-end quality management mode is converted into a front-end-middle-end-back-end full-process construction period control mode which takes quality guarantee and construction period compression as double targets and can be dynamically adjusted, so that the optimal control of the construction period is realized on the premise of ensuring that the product quality is not lower than a preset threshold value, and the product quality is ensured to be higher than the preset threshold value. The defects that in existing equipment production management, construction period-resource-quality balance cannot be dealt with, and production pressure fluctuation is difficult to adapt can be overcome, and the requirements for high efficiency and stability of equipment production are met.

The application discloses a kind of noble metal product quality traceability and digital management system, it is related to noble metal quality management technical field, to solve the technical problem that current traditional pre-production post-detection mode can cause noble metal resource waste, including data acquisition module, customization quality control module, real-time analysis early warning module, data traceability management module, block chain storage module, and process self-learning optimization module, each module is modular design and is configurable component, data intercommunication linkage operation is realized between modules through standard interface.The application realizes the dynamic monitoring and instant adjustment effect of production process parameters by embedding real-time analysis early warning module and customization quality control module, solves the problem that current traditional pre-production post-detection mode can cause noble metal resource waste.System uses production detection mode, real-time acquisition key quality control point data in production process, reduces noble metal loss rate, realizes resource zero waste.

This invention discloses a staged quality inspection method and system for SMT (Surface Mount Technology) semi-finished products, specifically relating to the field of electronic manufacturing quality management technology. The method includes the following steps: quality inspection is performed at each stage of the production line, the inspection results are recorded and a result set is formed, and early signs of production rhythm imbalance are identified using time interval distribution analysis; if imbalance is present, the defect frequency fluctuation index and the production line dynamic disorder index are further calculated to quantify the dynamic fluctuations and systemic problems of non-conforming phenomena; the two indices are input into a pre-trained machine learning model, and the model output distinguishes the quality status of the production line as high quality or low quality; for low-quality production lines, optimization is performed according to a preset adjustment strategy; this method can monitor the quality status of the production line in real time, accurately distinguish between accidental and non-accidental problems, improve quality management efficiency, ensure stable operation of the production line, and reduce the proportion of non-conforming products.

An underground pipeline quality management and control method belongs to the field of underground pipeline quality management and control and comprises the following steps: step 1, performing three-dimensional surveying and mapping by adopting a positioning device under a WGS84 coordinate system manufactured based on an inertial navigation principle; 2, observing the internal state of the pipeline by using an endoscope technology, and quantitatively monitoring the deformation of the pipeline by using laser ranging to realize the detection of defects in the pipeline; and 3, measuring the length of the pipeline and positioning the defects of the pipeline by using a speedometer, so that the defects in the pipeline are efficiently repaired. According to the invention, the underground position of the pipeline and the internal defects of the pipeline can be detected conveniently, so that accidents caused by unclear position or internal defects of the pipeline are avoided, and long-term stable use of a cable line is ensured.

The invention relates to the technical field of Internet of Vehicles, and provides a document generation method, electronic equipment and a platform, and the method comprises the steps: obtaining a predefined document template and a plurality of pieces of vehicle part information input by a user; wherein the document template comprises a plurality of template units, and each template unit has a unit attribute; and in response to a received document output instruction based on each piece of vehicle part information, traversing unit attributes of all template units in the document template, and based on the unit attributes, determining document contents associated with each piece of vehicle part information so as to perform document output on the document contents. By constructing the structured template and an automatic generation mechanism, document development is upgraded from manual operation to a rule-driven intelligent process, document generation efficiency and accuracy are remarkably improved, a decision basis is provided for quality management, and harsh functional safety and compliance requirements of the industry are met.

The invention discloses an AI psychological interview response quality management method and system, and relates to the technical field of artificial intelligence and digital psychological health. The method comprises the following steps: firstly, analyzing semantic features of user voice through a rule path of zero floating point operation to obtain a first quality score; when the score is in the section needing to be rechecked, starting a lightweight neural network model to analyze the voice energy envelope features to obtain a second quality score; and after fusing the two, outputting a single-bit quality flag bit. And the system decides whether to generate the gentle reminding verbal skill or not through a progressive gate according to the flag bit and the accumulated number of times, and automatically triggers zero-responsibility closed-loop feedback for the high-frequency low-quality response user when the session is ended, so as to generate a gentle closing declaration and management list. According to the invention, low-power-consumption and high-precision response quality real-time discrimination and low-invasion intervention on the edge terminal are realized, interview data quality and user experience are effectively considered, and a complete quality management closed loop is formed.

The application relates to the technical field of quality management, in particular to a stamping hardware quality management method and system. Production batch information and production event context information are acquired; quality data uploaded by an automatic detection device and associated detection context information are acquired, the detection context information comprising detection time, detection device identification and batch identification; based on the production batch information, the production event context information and the detection context information, multidimensional consistency evaluation is carried out; according to the result of the multidimensional consistency evaluation, correlation judgment is carried out and a correlation between the quality data and the production batch information is established; quality data that cannot establish a correlation through correlation judgment is marked and manual checking is prompted. The application solves the technical problem of quality data and actual production batch correlation confusion caused by inconsistent or incorrect batch information entry in large-scale production of stamping hardware.

The present application relates to the technical field of production quality traceability, and particularly relates to a CKD mode-oriented accessory production quality control traceability method and system.The method comprises the following steps: obtaining product data to be exported and a production process thereof, recording standard parameters of each accessory, subsequently disassembling a spatial position of the accessory in the product, constructing a unique identification tag, reading tag position information in real time through a read-write device of a logistics node, and querying corresponding real-time temperature data.According to temperature variation, accessory parameter variation is simulated, whether real-time parameters conform to standards is monitored, if not, an error generation position is marked, a quality control traceability chain is constructed through the error position and position information, and a query index is set, so that efficient quality management and traceability are realized.The present application realizes real-time monitoring and dynamic management of an accessory production process, and enhances transparency and traceability of the production process.

The invention belongs to the technical field of steel product quality management, and particularly relates to a method and a system for realizing automatic conversion of percentage elongation after fracture of a steel product, which are characterized in that the method is a material test item conversion subprogram in an existing manufacturing system quality management program. Firstly, automatic comparison of sample size codes in a tensile test item is carried out, and when the sample size codes of materials actually subjected to a tensile test are inconsistent with the sample size codes required by a contract, automatic conversion of after-fracture elongation values can be carried out after confirmation of technicians. The method has the beneficial effects that the existing quality system processing logic is perfected by taking the national standard GBT-17600.1 as the benchmark, the automatic conversion of the percentage elongation after fracture as required is realized, the method for automatically judging the quality of a real object and printing a quality guarantee book according to the converted data can be completed, and the occupation of test resources and the material waiting time are greatly reduced.

The present application relates to the technical field of packaging bag production, and particularly relates to a raw material mixing quality control system and method for degradable packaging bag production, which comprises a raw material preparation module, a mixing device, a parameter monitoring module, a data processing module, an automatic sampling module, a quality detection module and a quality management module, the quality management module is electrically connected with the raw material preparation module, the mixing device, the parameter monitoring module, the data processing module, the automatic sampling module and the quality detection module respectively; through cooperation of the raw material preparation module, the parameter monitoring module, the data processing module, the automatic sampling module, the quality detection module and the quality management module, the raw material of the degradable packaging bag can be automatically monitored and detected, quality problems in the mixing process can be found and solved in time, the influence of subjective factors of manual operation and observation is reduced, the evaluation of mixing quality is more accurate and reliable, and the efficiency and informatization level of production management are improved.

This application proposes a quality management method and system for new energy power plants, relating to the field of power plant management. The method includes: receiving a list of component models and quantities for target energy storage units in a target new energy power plant; statistically analyzing the time-series matrix of energy storage impact attributes, energy storage unit samples, and workload time-series information; performing a redundancy lifetime assessment on the target energy storage units based on the workload time-series information to obtain a predicted redundancy lifetime value; and assigning temporary or default periodic quality inspection labels to the target energy storage units. This application solves the technical problem in existing technologies where quality inspection of new energy power plant construction relies solely on periodic monitoring, potentially leading to the omission of critical risk moments and the existence of operational hazards. It achieves the technical effect of conducting redundancy lifetime assessments based on the service data and workload time-series information of energy storage units, enabling targeted quality inspection labels, and effectively preventing operational risks.

The invention discloses a task delivery quality auditing method and device, electronic equipment and a storage medium. The method comprises the steps that a delivery result of a target activity item is obtained, the target activity item is any one of at least one activity item set under each activity unit in at least one activity unit set by an activity chain corresponding to a task and is used for representing a basic execution unit of the task, the target activity item is paired with at least one judgment unit, and the judgment unit is used for judging whether the task is executed or not; at least one control item is arranged under each judgment unit, and each control item is used for representing a basic auditing unit of a delivery result of the target activity item corresponding to the judgment unit; and checking the delivery result of the target activity item by using at least one judgment unit. According to the invention, the task is refined into each activity item, and the refined quality management means of at least one judgment unit is set for each activity item to judge whether the delivery result of the activity item is passed or not, so that the quality management problem is systematically solved.

The invention provides an SPC quality management method and device based on model driving and a storage medium. The method comprises the steps that data collected in all stages in the production process is stored in a document type database; starting an SPC quality management service by adopting a triggering mechanism; extracting data from the document database, and cleaning the extracted data based on a pre-configured conversion model to generate a data analysis model; on the basis of the data analysis model and a pre-configured point location algorithm model, point location models of multiple SPC control charts are generated; and calling a pre-configured early warning model to carry out early warning monitoring on point locations in the point location models of the multiple SPC control charts, and generating an abnormality judgment report when abnormal conditions are monitored. Large-scale data can be efficiently processed, and the system performance and the data processing efficiency of the server can be improved.

The invention discloses a quality management control method for low-GI instant rice production, and belongs to the technical field of production management, and the method specifically comprises the following steps: constructing a quality-energy consumption association trajectory library based on historical production data; analyzing the process nodes and the resource transfer chain to establish a production resource transfer network and a preset resource topology thereof; comparing the difference between actual production and preset topology, screening difference batches, and extracting performance parameters of key process nodes to form a unit performance parameter set; the deconstruction network model identifies a change path of a resource circulation relationship between processes in the different batches and generates a cascade joint optimization parameter set in combination with the unit performance parameter set; establishing a quantitative mapping relation between quality and energy consumption and constructing a cross-unit parameter collaborative decision model; and generating an optimized process instruction set according to the real-time material characteristics, and driving each processing unit to execute collaborative production. According to the invention, self-adaptive regulation and control on fluctuation of the raw materials are realized, and the production energy consumption is remarkably reduced while the product quality is stabilized.

The invention relates to a disinfection supply room article tracking method and device based on the Internet of Things, equipment and a medium. The method comprises the following steps: acquiring a digital identity label, article source information and receiving time sequence information of a medical article; obtaining treatment specification information of the medical article based on the digital identity label; acquiring first actual treatment information and first treatment time sequence information of each treatment flow of the medical articles corresponding to the digital identity label through a medical article treatment unit in the disinfection supply room; and generating tracking log information of the medical articles in combination with the article source information, the receiving time sequence information, the disposal specification information, the first actual disposal information and the first disposal time sequence information. By adopting the method, the article source, the disposal operation content and the disposal operation time sequence can be efficiently tracked through the digital identity label, and the quality management efficiency and the operation stability of the disinfection supply room are improved.