34 results about "Quality standard" patented technology

The invention provides a process parameter optimization method and device based on an industrial internet, equipment and a medium, and relates to the field of big data and the field of the industrial internet. The method comprises the steps of receiving a process parameter optimization instruction, obtaining original process parameters of a target product and quality detection data corresponding to the target product, performing analysis processing on the quality detection data, determining a quality detection analysis result of the target product, and outputting the quality detection analysis result. When the quality detection analysis result shows that the quality of the target product does not meet the preset quality standard, inputting the original process parameters into a pre-constructed process parameter optimization model to optimize the original process parameters to obtain target process parameters; wherein the quality of the product manufactured based on the target process parameters meets a preset quality standard; according to the method, the accuracy, the timeliness and the automation level of process adjustment are improved, and the quality stability and the intelligent control of the production process are effectively guaranteed.

The invention particularly relates to a code writing, checking and modifying method based on a large model. According to the code writing, checking and modifying method based on the large model, a fine-tuning large language model is adopted to analyze user requirements, and multi-language initial codes are generated; executing deep code review through a static analysis engine, wherein the deep code review comprises syntax tree verification, security vulnerability mode matching and API dependency chain detection; executing the automatically generated test case set in an isolation environment, monitoring operation indexes in real time, and generating a defect thermodynamic diagram; and driving the large model to perform iterative code reconstruction based on a defect analysis result until it is confirmed that a preset quality standard is met. The code writing, checking and modifying method based on the large model is suitable for multiple languages, the defect rate of codes is reduced, the software development period is prolonged, the labor cost is reduced, and the vulnerability detection rate is greatly increased.

The invention provides a mapping analysis method, system, equipment and medium for chip carrier production data and quality standard data, and belongs to the technical field of chip carrier production, and the method comprises the following steps: cleaning historical production data to obtain a standard data set, screening out a key process parameter set, and grouping the data according to production processes. Extracting statistical features of the key parameters to form a process feature set, and performing mapping matching on the process feature set and a preset standard quality feature set to generate a mapping relation set; and analyzing the mapping relation set based on the consistency evaluation model, outputting an evaluation result, and generating a quality analysis report. And through key parameter set screening and process feature extraction, the analysis accuracy is improved. The mapping and quantitative comparison of the production data and the quality standard in the multi-process dimension are realized, and the deviation process can be positioned. Based on automatic analysis of the consistency evaluation model, abnormal processes can be identified, potential process reasons can be traced, and the product yield and the production stability are effectively improved.

The invention provides a quality rating and repairing method for a buried steel skeleton reinforced polyethylene composite pipe. The quality rating and repairing method comprises rating standard formulation, a measuring method, a rating process, repairing and replacing suggestions and the like. Through visual observation and accurate measurement, quality standards of different grades are clearly divided, and corresponding repair or replacement suggestions are given. According to the method, multiple detection means are combined, the accuracy and reliability of the rating result are ensured, and a scientific basis and technical support are provided for safe operation and effective management of the pipeline. The method is suitable for evaluating the quality condition of the buried pipeline after excavation and guiding subsequent maintenance and repair work.

A quality review management system may be used to analyze the operation of manufacturing processes within a plant based on data collected by various data sources in the plant, such as batch executive applications, to automatically detect, store, and display exceptions within those processes for use by a quality review engineer to determine if the process operation meets certain quality standards. The quality review management system includes a configuration application that enables a user to create one or more exception rules, an exception engine that uses plug-ins in various devices to collect process data and to analyze the process data using the rules to detect one or more exceptions within the process, and a review application that enables quality review personnel to review each determined exception for resolution purposes.

The present application provides a parameter quality management method and related apparatus and medium program product, which can be applied to a server and includes: obtaining a first parameter scorecard used to characterize the quality status of a target parameter; updating a first upper specification limit USL and / or a first lower specification limit LSL of component parameters and process equipment parameters in the target parameter to obtain a second upper specification limit USL and / or a second lower specification limit LSL; updating the first parameter scorecard based on the second upper specification limit USL and / or the second lower specification limit LSL to obtain a second parameter scorecard; and determining the updated parameter quality standard of the target parameter based on the second parameter scorecard. In this way, the parameter quality standard can be updated in real time, improving user production efficiency.

The invention provides a method and system for automatically generating a high-quality large-scale data set, and the method comprises the steps: constructing a knowledge graph according to an original corpus of a specific field; based on the knowledge graph, constructing a vertical question-answering system through at least two paths; generating question-answer pairs through a vertical question-answer system; optimizing and evaluating the question and answer pair according to a quality standard to obtain an evaluation result; and integrating qualified evaluation results into a final data set. According to the method, the knowledge graph is taken as a basis, a data set of a professional field is generated through a self-asking and self-answering mechanism, a large number of question and answer pairs are generated in batches in a high-automation manner, a data set with high generalization and high quality is generated, the data set generation efficiency and scale are effectively improved, and the method can be used for model training. According to the question and answer pairs, a top-down method is adopted, through community division and community reports, basic question and answer based on triads can be achieved, and global and inductive question and answer pairs can be generated.

The present application relates to the technical field of package detection, and particularly relates to a fan-out package detection method and system based on photoetching positive glue, which comprises the following steps: dividing a photoetching positive glue developing area into units to obtain a plurality of developing units; performing three-dimensional profile scanning on a copper pillar array after etching of each developing unit to obtain size characteristic parameters of the copper pillar array; collecting a circuit plating image of each developing unit and performing microscopic feature identification thereon to obtain microscopic characteristic parameters; comparing and analyzing the size characteristic parameters and the microscopic characteristic parameters with corresponding preset quality standards respectively for each developing unit, and generating an out-of-standard feature set when any one of the size characteristic parameters and the microscopic characteristic parameters exceeds the preset quality standards; performing quality evaluation on the out-of-standard feature set to obtain a quality score corresponding to each developing unit; and realizing accurate positioning of local defects of the developing area to avoid misjudgment or missed detection.

The invention relates to a computer-implemented method and technical system for ensuring a quality standard for a code sequence (CS) generated with the aid of a generative AI model (LLM) to fulfill one or more features of a software application to be developed in a software development project, wherein the quality standard is defined by a minimum degree of fulfillment of this or these features, optionally according to their classification in the software development project. The method comprises the following steps, which can be executed in particular with the aid of at least one processor of the technical system (S): a) Extracting this / these feature(s) from artifacts of the software development project, classifying them if necessary, and relating them to each other if there are several features, whereby the quality standard is defined by a minimum degree of fulfillment of this or these features, possibly according to their relation to each other and possibly according to their classification in the software development project; b) Providing one or more rejected code sequence examples in a memory (REP) derived from the information obtained in step a) that fall below the specified minimum level of fulfillment and / or that result from previously rejected code sequences generated by the generative AI model; c) Enriching at least one captured prompt (P), which initiates the generation of the code sequence by the generative AI model, with context formed from the one or more extracted features and with the one or more sorting examples, and applying the at least one enriched prompt to the generative AI model; d) Capturing the code sequence generated using the enhanced prompt and evaluating the generated code sequence based on the quality scale; and e) Outputting the generated code sequence if the result of the evaluation from step d) is positive, by meeting or exceeding the specified minimum level of fulfillment.

The application relates to the technical field of silicon crystal bar measurement and classification, and discloses a silicon crystal bar diameter measurement and intelligent classification method based on point cloud segmentation fitting, which comprises the following steps: obtaining the original three-dimensional point cloud of a silicon crystal bar to be measured, carrying out pretreatment, extracting a main shaft and normalizing coordinates to obtain aligned three-dimensional point cloud; segmenting and cutting the aligned three-dimensional point cloud along the main shaft direction, screening a plurality of effective subsegments, and carrying out local cylindrical fitting on the effective subsegments to obtain local geometric parameters; carrying out feature statistical analysis according to the local geometric parameters and carrying out deviation compensation; matching the compensated geometric feature parameters with preconfigured product model templates, identifying and determining the model to which the silicon crystal bar to be measured belongs, and carrying out quality judgment and outputting results according to the quality standard of the model.

The application relates to the technical field of casting, and discloses an intelligent casting process whole-flow optimization system and method, which comprises the following steps: digitizing and analyzing casting drawings and process flow documents to generate a structured process table; based on the structured process table, using a DeepSeek-NLP model to perform multi-round question answering, outputting process structure analysis results and initial process parameter suggestions; based on the process structure analysis results and the initial process parameter suggestions, constructing a three-dimensional process model, simulating a casting process based on a simulation tool, and generating simulation results; testing the simulation results; if there are defects that do not meet quality standards or process parameters that do not match, feeding back correction requirements to an AI intelligent analysis module, triggering iterative optimization of process parameters, and completing closed-loop optimization of the process flow. The application can significantly shorten the parameter optimization cycle, improve the intelligent level of production and the product yield.

This invention discloses a method for synergistic optimization of process parameters and ion content in penetrant production, belonging to the field of chemical material production technology. This invention constructs a full-process monitoring and quantitative evaluation mechanism to dynamically control the entire process of synergistic optimization of process parameters and ion content in penetrant production. This includes data acquisition, model building, parameter optimization, and feedback adjustment. By collecting core process parameters and system ion content data throughout the entire penetrant production process, multi-objective synergistic optimization is performed. Multiple constraints are set to ensure the feasibility of optimization, achieving precise matching of process parameters and ion content. Under the premise of meeting strict quality standards and environmental protection requirements, the dual goals of improving production efficiency and reducing costs are achieved. A sensor array monitors product performance in real time, and based on a correlation model, key deviation parameters are accurately located and dynamically adjusted in multiple steps, rapidly responding to production fluctuations and avoiding production instability caused by parameter mutations, effectively controlling product performance deviations.

The invention relates to the technical field of project management, and discloses a real-time process rationality evaluation method and system for project management, and the method comprises the steps: classifying and storing parameters such as predicted duration, resource consumption standard, quality standard and the like of a process, obtaining actual duration, actual resource consumption and actual quality result dynamic data, and carrying out the real-time process rationality evaluation. And then constructing a mathematical model of the duration deviation index, the resource deviation index and the quality deviation index, if any evaluation index does not conform to the corresponding standard interval, indicating that the project process is unreasonable, aiming at improving the content of the non-conforming corresponding standard interval, if any evaluation index does not conform to the corresponding standard interval, calculating a comprehensive rationality index, and determining that the project process is unreasonable. The system continuously collects data, updates indexes, triggers an early warning mechanism, adjusts parameters of substandard procedures until all indexes reach the standard, simultaneously covers time, resources and quality, avoids one-sidedness of single-dimension evaluation, and reduces errors of manual summarization and subjective judgment.

The present application relates to the technical field of tunnel kiln, and discloses a tunnel kiln equipment for directly producing ceramic zinc oxide, which comprises: a kiln body provided with multiple functional areas, each of which is provided with a temperature control unit, and each temperature control unit comprises multiple temperature control sub-units; a setting module, which acquires quality standards in the production process of ceramic zinc oxide, generates production requirement information of each type of data in each functional area according to the quality standards; and a control module, which controls the temperature of the temperature control sub-units according to the production requirement information. The present application finely maps the temperature curve by considering multiple factors, so that the temperature control is more accurate and stable.

The invention provides a dynamic detection method and device combined with sub-runner product quality analysis, and relates to the technical field of automatic detection.The method comprises the steps that K positioning serial number identifiers are generated; obtaining K sub-runner product quality inspection information sets, and performing same-index deviation identification on the K sub-runner product quality inspection information sets and the product quality standard information to generate K sub-runner product quality inspection deviation sets; obtaining K first detection coefficients; k sub-runner width intervals are obtained; building a runner extraction wheel disc based on the K first detection coefficients, and determining a first automatic detection scheme according to an extraction result; and the first automatic detection scheme is input into an automatic detection unit of the target injection molding production line for automatic product detection. According to the invention, the technical problems of low production efficiency and resource waste caused by unbalanced quality monitoring of the sub-runner in the prior art can be solved, and the technical effects of improving the production efficiency and reducing the resource waste are achieved.

The invention discloses a project cost data management method and management system, and relates to the technical field of project management, and the method comprises the steps: a data construction module obtains project cost data, and carries out the preprocessing of the project cost data to form a basic data set; performing material identification based on the basic data set, and dividing material quality grades in combination with a quality standard to form material basic data; according to the invention, through the cost accounting and price limit control module, the material cost ratio, the material quality grade Grd and the budget constraint are comprehensively analyzed, the candidate cost schemes are comprehensively evaluated, and on the premise that the total cost of the project does not exceed the budget, the scheme with the optimal quality performance is selected as the cost recommendation result; a quantitative balance relation can be established between cost control and project quality, the risk that low-price and low-quality materials enter a project is reduced, and the overall quality level of the project is improved.

This invention provides a method for determining green cut quality standards that can reduce variations in the judgment regarding the finished state of the green cut surface. [Solution] The method for determining the green cut standard comprises: a specimen preparation step of preparing multiple specimens that simulate concrete used at construction sites, wherein the finished state of the green cut surface of the specimens, which is the joint surface where the green cut has been performed, differs from one another; an image data acquisition step of acquiring image data of the multiple specimen green cut surfaces; and a quality standard determination step of determining an identification specimen green cut surface for identifying green cut surfaces that meet the quality standard and those that do not from among the multiple specimen green cut surfaces captured in the image data.

The method comprises the following steps: initializing process parameters and setting iteration and termination conditions, presetting quality standards and constructing a target function, obtaining a current optimal process parameter evaluation index, randomly searching for new process parameters, calculating a new process parameter evaluation index, judging whether to accept or reject the new process parameters as a new current optimal solution according to an acceptance criterion, and outputting a global optimal process parameter as an optimal solution combination of the gravure printing process parameters until the termination condition is met, so as to control the printing machine to realize automatic adjustment. The gravure printing process parameter automatic optimization adjustment method has the characteristics of high efficiency, automation and cost saving.

In various embodiments, a method for quality management of a printing process of a 3D object (402) comprising a plurality of layers (404, 406) is provided. The method includes a maglev printing bed (408) onto which a printing material is deposited to manufacture a 3D object, the method including determining a weight of the printing material that has been deposited to the printing bed until now as a function of a force acting on the maglev printing bed, and comparing the calculated weight with the measured weight in a continuous manner or at discrete time intervals. The method may be used to determine, based on the comparison, whether at least one portion of the layer of the printed 3D object meets an expected quality criterion.

This invention discloses a testing method and system for an intelligent reading device, comprising the following steps: placing the intelligent reading device on a testing device; setting a first test rule and a second test rule for the intelligent reading device; performing a reading performance test on the intelligent reading device based on the first test rule to obtain the reading performance test result; performing a durability test on the intelligent reading device based on the second test rule to obtain the durability test result; and determining the quality test result of the intelligent reading device based on the reading performance test result and the durability test result. In this invention, the testing method is applied to the quality control stage of the intelligent reading device testing process, which helps to improve the quality reliability of the intelligent reading device, significantly enhances its quality standards and competitiveness, and has broad market application prospects.

This invention discloses a method for optimizing wafer lamination process. This method designs experiments based on the parameters involved in the wafer lamination process using the Design of Elements (DOE) matrix design method. By conducting experiments in the specified order, the process parameters that maximize the wafer lifespan are obtained as the optimized process parameters. The process parameters obtained by this method can ensure that the cutting blade can provide early warning before the end of its lifespan. The safety margin ensures that products already installed on the equipment can be safely processed and meet the process quality standards without defective products.

The invention provides a food contact material product quality standard traceability system and method. The food contact material product quality standard traceability system comprises a multi-dimensional data acquisition module which is used for acquiring raw material traceability data, production process carbon footprint data, product quality detection data, circular economy attribute data and tax associated data; the block chain evidence storage module is used for carrying out uplink evidence storage on the key data acquired by the multi-dimensional data acquisition module and generating a product digital fingerprint which cannot be tampered; the green tax intelligent association engine is used for matching green tax preferential policies of a target market based on the circular economy attribute data; a dynamic compliance early warning module, a circular economy contribution value calculation module and a traceability information service platform. The food contact material product quality standard traceability system and method provided by the invention have the advantage of being capable of realizing credible acquisition, evidence storage, analysis and application of full-life-cycle data of the product.

The invention provides a method for detecting the content of five components in melastoma dodecandrum and application of the method. Specifically, the invention provides a method for detecting the contents of chlorogenic acid, codonopsis pilosula glycoside I, luteoloside, apigenin 7-O-beta-D-glucoside and lobetyolin in the centella asiatica. The detection method disclosed by the invention is accurate, high in sensitivity, good in repeatability and reliable in result, provides a basis for quality control and evaluation of the round-clock flowers, and has a good application prospect in formulating a round-clock flower quality standard, reasonably developing and utilizing resources and the like.

The invention discloses a gear shaft integrity detection and quality early warning method and system based on image processing and a storage medium, and relates to the technical field of gear detection. Stress detection data and an original image of the gear shaft to be detected are collected, and the original image is preprocessed; performing edge detection on the grayscale image, extracting edge features of the gear shaft, and extracting key geometric features related to the integrity of the gear shaft from the edge features in combination with morphological operation; constructing a multi-scale auxiliary reconstruction defect detection model, inputting the key geometric features and the stress detection data into the multi-scale auxiliary reconstruction defect detection model, and identifying whether the gear shaft has defects and identifying the types and positions of the defects; and performing quality evaluation on the gear shaft according to a defect identification result and a preset quality standard, and when an evaluation result does not meet the quality standard, generating quality early warning information. Intervention measures can be taken in advance, the quality and use safety of the gear shaft are guaranteed, and follow-up risks caused by defects are reduced.

The utility model provides CCD (charge coupled device) quality detection equipment which comprises a rack, and a first conveying belt, a second conveying belt and a third conveying belt are sequentially mounted on one side of the rack from top to bottom. According to the utility model, by arranging the first CCD, the products can be preliminarily detected, and the products possibly having obvious defects can be screened out in time, so that the subsequent detection efficiency can be improved, and the waste of time and resources in the subsequent detection can be avoided; by arranging the second CCD, the problems of tiny defects, scratches, stains and the like on the surface of the product can be deeply detected, the detection precision and accuracy are further improved, and the product quality can be effectively guaranteed; by arranging the third CCD, final quality confirmation can be carried out on the product, it is ensured that the product meets the quality standard, defective products are prevented from flowing into the market, meanwhile, some problems possibly neglected in the first two detections can be detected, and the quality reliability of the product is further improved.

The utility model relates to the technical field of window sash sliding support connecting rods, in particular to a window sash sliding support connecting rod structure precision detection jig which comprises a base, detection mechanisms are arranged at the left end and the right end of the upper surface of the base, and a positioning connecting rod is arranged at the top of an inner cavity of the base; the detection mechanism comprises a tool block, a precision groove, a tool piece and a positioning groove. According to the window sash sliding support connecting rod structure precision detection jig, an operator can directly observe a result without an additional measuring tool or a complex analysis means, it can be ensured that each batch of window sash sliding support connecting rod structures meet the high-standard precision requirement, and therefore smooth and reliable window operation experience is provided for a user; the precision is strictly controlled, so that the reliability of products is improved, the competitiveness of brands in the market is enhanced, the transparency and instantaneity of detection are improved, meanwhile, all detected products can be ensured to have consistent quality standards, and the improvement of the overall quality control level of a production line is facilitated.

The invention discloses a design document generation method and device, equipment, a medium and a product. Relates to the technical field of artificial intelligence. The method comprises the steps that based on generation constraint conditions and chapter structures of a demand document and a design document, a first draft of the design document is generated through a large language model, content enhancement is conducted on the first draft, and an enhanced design document is generated; for each preset cue word template, first background knowledge is obtained based on the associated knowledge retrieval key of the template, and review prompt information is generated according to the enhanced design document, the first background knowledge and the review rule set of the template; inputting the review prompt information into the large language model, and generating review response information of the template; generating a comprehensive review result according to the review response information; and if the enhanced design document does not meet the preset quality standard, generating an optimization instruction based on the comprehensive review result, so that the big language model optimizes the enhanced design document based on the optimization instruction. And the design document quality and the writing efficiency can be improved.

This invention relates to a method and application for identifying standard decoctions of Dryopteris crassirhizoma and its adulterants. The method includes the following steps: extracting standard decoctions of Dryopteris crassirhizoma and its adulterants using extraction solvents to prepare test solutions; dissolving a reference standard of oxaliplatin AB using a dissolving reagent to prepare a reference solution; and performing high-performance liquid chromatography (HPLC) on the test solution and the reference solution to obtain the content of oxaliplatin AB in the standard decoction of Dryopteris crassirhizoma. This invention establishes a method for determining the content of oxaliplatin AB, a characteristic component of the standard decoction of Dryopteris crassirhizoma, thereby enabling qualitative and quantitative identification of the standard decoction, ensuring its safe use, and for quality control of the standard decoction. The establishment of this method not only provides a basis for establishing quality standards for the standard decoction of Dryopteris crassirhizoma, but also provides an important reference for establishing quality standards for Dryopteris crassirhizoma granules and related traditional Chinese medicine preparations.

The application provides a dynamic detection method and device combined with sub-flow product quality analysis, relates to the technical field of automatic detection, and comprises the following steps: generating K positioning serial number identifiers; obtaining K sub-flow product quality inspection information sets and product quality standard information for same-index deviation identification, and generating K sub-flow product quality inspection deviation sets; obtaining K first detection coefficients; obtaining K sub-flow tolerance intervals; constructing a sub-flow extraction wheel based on the sizes of the K first detection coefficients, determining a first automatic detection scheme according to an extraction result; and inputting the first automatic detection scheme into an automatic detection unit of a target injection molding production line to perform product automatic detection. Through the application, the technical problem that the production efficiency is reduced and resources are wasted due to unbalanced quality monitoring of sub-flows in the prior art can be solved, and the technical effects of improving the production efficiency and reducing resource waste are achieved.