143 results about "Quality control system" patented technology

The invention relates to the technical field of quality regulation and control, in particular to a self-adaptive pile forming quality regulation and control system and method for soft foundation treatment pile construction. The method comprises the steps that a construction parameter acquisition unit acquires key construction parameters in real time through a multi-type sensor network; the data preprocessing and feature extraction unit is used for preprocessing the collected key construction parameters and extracting key feature parameters reflecting the construction stability and the pile forming uniformity; and the pile-forming quality judgment and deviation recognition unit is used for comparing the key characteristic parameters with a preset pile-forming quality threshold model in real time, judging the quality state of the pile-forming process and outputting a deviation category and a deviation strength index. According to the method, the limitation that judgment only depends on a single parameter threshold in the prior art is broken through, and a multi-mode coupling resonance intensity evaluation algorithm is provided for solving the problem that nozzle abrasion is high in concealment and great in influence.

The invention discloses a commercial password evaluation report automatic generation and quality control system based on an artificial intelligence technology, and the system comprises a multi-modal data processing and knowledge graph construction module which constructs a knowledge graph of a password evaluation field based on the multi-modal data related to the commercial password evaluation field; the field large model fine tuning module is used for constructing an instruction fine tuning data set in the password evaluation field, performing field adaptation training on the pre-trained large language model by adopting a hybrid fine tuning strategy, and generating a password evaluation field expert large model; the report automatic generation module is used for automatically generating a commercial password evaluation report based on the knowledge graph and the expert large model; the quality control module is used for carrying out automatic quality verification and evaluation on the report; and the system integration and optimization module is used for integrating the modules into an interactive application system and continuously optimizing the knowledge graph and the expert large model. According to the method, the commercial password evaluation report can be automatically generated, and the correctness and logic consistency of the report can be ensured.

The application discloses a quality control system and method of a medical electronic linear accelerator, and the quality control system comprises the following: an upper computer, an industrial computer, an MLC positioning accuracy module, a gantry angle detection module, a treatment bed positioning accuracy detection module, an ARM motion control positioning accuracy module and a CBCT motion control positioning accuracy module; the upper computer generates a quality control report according to the detection results collected by the MLC positioning accuracy module, the gantry angle detection module, the treatment bed positioning accuracy detection module, the ARM motion control positioning accuracy module and the CBCT motion control positioning accuracy module. The application can effectively reduce the time required for periodic detection of the medical electronic linear accelerator, reduce the manpower and material resources required in the detection process, realize complete multiple quality control plans, issue a quality control report, and accurately and intuitively express the quality inspection result.

The invention relates to the technical field of ocean observation, in particular to an intelligent quality control system and method for ocean survey data, which takes whole-process data quality closed-loop management and control as a core, proposes an element-standard-process three-dimensional quality control framework, constructs a real-time and timing dual-mode architecture, and integrates a whole-chain visualization and non-intervention automation technology. By extracting more than 40 differentiated quality control elements of more than 10 types of data, a four-layer quantitative standard of equipment state-parameter setting-data integrity-operation compliance is established, and closed-loop control of the whole process is standardized. The error condition detection rate of the system reaches 89% or above, the manual quality control time cost is reduced by 90% or above, the quality control time efficiency is compressed to the real-time / timing hour level, paradigm innovation from post-event error correction to real-time intelligent management and control is achieved, core support is provided for high-quality collection and high-reliability application of ocean survey data, and the method is suitable for various ocean comprehensive scientific investigation scenes.

The invention relates to the field of industrial automatic quality control, and discloses an automatic production line real-time quality control system based on multi-sensor fusion. In the prior art, the problem of incomplete perception-decision-control closed loop mainly exists, the system can only realize quality detection and alarm generally, and parameter adjustment still needs manual intervention. According to the method, standardized data are obtained through the multi-source heterogeneous data sensing module; an intelligent fusion module is adopted to generate a quality state vector; the advanced prediction and intelligent decision-making of the quality trend are realized based on the prediction decision-making module; real-time closed-loop regulation and control of process parameters are completed through the precise execution module; and continuous optimization of the system is realized by means of a self-evolution optimization module. According to the invention, a complete closed loop from quality perception to control execution is established, the accuracy and automation level of quality control are obviously improved, and the reject ratio of products is effectively reduced.

The invention discloses a space-time matching comparison and uniformity evaluation method for a three-dimensional atmosphere live field fusion product. The method comprises the steps of constructing a multi-source data verification framework, implementing refined space-time matching, executing multi-level quality control, comprehensively inspecting and analyzing and outputting a product specification. By constructing a multi-source collaborative verification framework, integrating sounding, microwave radiometer, satellite and foundation observation data, and establishing a refined space-time matching model and a multi-level quality control system, the error condition of a live product can be quantitatively given. The method is suitable for space-time matching comparison and homogeneity inspection of air temperature, humidity and horizontal wind speed / wind direction elements, and supports meteorological model optimization and low-altitude economic application.

The invention provides a welding quality control system and method, electronic equipment and a storage medium, and relates to the technical field of welding quality. Multi-source monitoring data in the welding process is collected in real time through a sensing module, and a decision module carries out space-time alignment, feature extraction and pre-training model analysis on the data to generate an adjusting instruction; the closed-loop control module adjusts process parameters of the welding executing mechanism in real time according to the instruction, and therefore the problems that in the prior art, welding parameters are fixed, variables in the welding process cannot be adapted in real time, and welding defects occur frequently and efficiency is low due to the fact that manual adjustment is relied on can be solved. The technical effects that the welding defect rate is reduced, the welding efficiency is improved, and dependence on manual experience is reduced are achieved.

The invention provides a quality control system based on a multivariate exponential weighted moving average control chart, and belongs to the technical field of quality management and statistical process control. The system comprises a quality data acquisition module, a data preprocessing module, a statistical process control module, an anomaly judgment module and a quality evaluation and improvement module, and is used for monitoring and controlling the production process of a product with a plurality of quality characteristics in real time. The method comprises the following steps of: acquiring quality data of a plurality of quality characteristics in a production process by a system, preprocessing the quality data, and constructing a multivariate quality characteristic data set; estimating a mean vector and a covariance matrix in a controlled state based on the historical quality data, performing weighted updating on the multivariate quality data by adopting a multivariate exponential weighted moving average method, calculating a corresponding MEWMA statistic and generating an MEWMA control chart; and comparing the MEWMA statistical magnitude with a preset control limit to judge whether the production process is in an out-of-control state or not, and outputting early warning information and a corresponding quality evaluation result and improvement suggestion when abnormality is detected. The method can comprehensively analyze related information among multivariate quality characteristics, improves the sensitivity and accuracy of anomaly detection in the production process, and effectively improves the quality control level of the production process in the manufacturing industry.

The invention discloses a quality control method based on a medical linear accelerator, and the method comprises the following steps: S1, data collection: periodically collecting multi-source built-in parameters from the medical linear accelerator, the multi-source built-in parameters comprising beam performance parameters, mechanical performance parameters and subsystem state parameters; s2, an intelligent analysis step: performing intelligent analysis on the multi-source built-in parameters acquired in the step S1, including S2.1, a dynamic baseline comparison step; s2.2, a trend prediction step; s2.3, a root cause analysis step; and S3, a decision feedback step: generating and outputting quality control decision information according to a result of the intelligent analysis step. The quality control method based on the medical linear accelerator aims to realize predictive early warning, intelligent root cause analysis and adaptive threshold management, so that the perspectiveness, the accuracy and the automation level of quality control are improved. The invention further discloses a quality control system based on the medical linear accelerator, a storage medium and a device.

The invention discloses an image report process AI quality control system based on data fusion and a dynamic rule engine, and the system comprises a data layer module which is used for integrating multi-source data from an image archiving and communication system, a radiation information system and a hospital information system, and carrying out the preprocessing of the data, and forming a high-quality training data pool; furthermore, the image archiving and communication system obtains historical images in a DICOM format and corresponding report data; the radiation information system collects examination application information and doctor diagnosis information. According to the image report process AI quality control system based on data fusion and the dynamic rule engine, full-dimension and high-efficiency accurate quality control is realized: the system can perform comprehensive automatic screening of grammar, text, logic consistency and image-text relevance on an image report by integrating natural language processing, computer vision and a cross-modal matching technology; error correction response time is shortened to a second level from several minutes of each case of traditional manual auditing, and quality control efficiency is remarkably improved.

The invention provides a preparation method of a substrate of an external vesicle functional marker rapid detection kit, and belongs to the technical field of external vesicle functional marker detection.The preparation method comprises the steps that a high-purity coating working solution is prepared, and precise spraying is achieved through a piezoelectric type ink jet system; substrate functional modification is completed through confining liquid treatment and labeled antibody working solution preparation, a double-layer game model containing detection sensitivity optimization and process stability optimization is established, and an optimal parameter combination is obtained through game iterative calculation by combining the synergistic effect of a quality evaluation function and a stability control function. A characteristic parameter database is established to store historical production data and quality detection results, a multi-parameter joint evaluation method is adopted to calculate a comprehensive score and carry out unified product grading, and a quality control system and a standardized parameter optimization mechanism are driven through full-process data. The technical problem that the quality consistency difference is large in the batch production process is solved.

The invention discloses a prefabricated building intelligent construction and quality cooperative control method based on digital twinning. The method comprises the following steps: monitoring the fabricated building component in real time through a sensor, and collecting state data; building a digital twinborn model based on the data, and updating in real time to reflect the state of the component; comparing the real-time state data with a design model, calculating the accuracy of the building component, generating an assembly error report according to a comparison result, and adjusting a construction strategy in real time; segmenting and aligning the real-time image data by using a ParticleSAM algorithm, extracting key information of the building component, evaluating a quality problem and generating a risk early warning report; in the construction process, construction strategies are adjusted through real-time monitoring and feedback, and the construction path and sequence are optimized; through feedback of the quality control system, construction parameters are dynamically adjusted, the digital twinborn model is updated in real time, and the construction quality and progress are ensured.

This application provides a stir-fried licorice formula granule, its preparation method, and quality control method. The method comprises: the stir-fried licorice formula granule is prepared from stir-fried licorice slices as raw material through water extraction, vacuum concentration, drying, and granulation. Each gram of formula granule is equivalent to 1.7-2.1 grams of stir-fried licorice slices, wherein the glycyrrhizin content is not less than 1.0%, and the glycyrrhizic acid content is not less than 2.1%. This invention also establishes a comprehensive quality control method for the formula granules. High-performance liquid chromatography (HPLC) is used to determine the content of key components, combined with chemical fingerprinting to evaluate overall chemical consistency, and physical fingerprinting is introduced to monitor the physical stability of the granules, forming a three-in-one quality control system of "component-chemistry-physics". This invention fills the technological gap in stir-fried licorice formula granules and provides a complete solution for their standardized production and safe and effective application.

This invention relates to the field of industrial automation control technology, and particularly to a quality control system and method for a sparkling water production line. The system includes: acquiring physical quantities of the control process, constructing a state vector, quantifying the deviation of the state vector, constructing a total potential energy function, and obtaining the total system potential energy; constructing a control device action vector, quantifying the changing trend of the control device action vector with respect to the total system potential energy, and obtaining an action gradient vector; introducing a disturbance response mechanism, constructing a disturbance correction vector and a disturbance potential energy function based on the state vector; constructing a control optimization objective function based on the disturbance potential energy function, and dynamically updating the control device action vector through gradient solving and step size control. This solves the problems of traditional quality control methods lacking a unified scheduling mechanism at the system level, lacking the ability to predict and respond to disturbance trends, and relying on empirical parameters or preset rules in the control command generation process, resulting in low control accuracy and poor adjustment efficiency.

The invention discloses an automobile electronic part quality control method, which comprises the following steps of: based on a KANO model and an FMEA model, identifying a high-risk failure mode in a production process and key processes and key process parameters associated with the high-risk failure mode; performing anomaly detection and sample balance processing on the process data corresponding to the key process to obtain a balanced data set; establishing a quality tracing model based on the balanced data set, identifying key process parameters influencing the quality, and optimizing to obtain a process reference; key process parameters are collected in real time, monitoring is carried out based on a multivariate statistical process control method, and early warning and abnormal source positioning are carried out when abnormity is detected. According to the method, hazard identification, data cleaning, quality tracing and monitoring early warning are seamlessly connected, a whole-process quality control closed loop is formed, whole-process data-driven integrated management and control are realized, and the cooperation efficiency and the dynamic response capability of a quality control system are remarkably improved.

The application discloses a coating die flow field simulation analysis method and system, the method comprises the following steps: constructing a three-dimensional model of a coating quality control system, importing the three-dimensional model into a fluid simulation software, and extracting a fluid region through Boolean operation; segmenting and assigning regions to the extracted fluid domain; obtaining actual process parameters as boundary conditions, inputting the simulation model, dividing the grid of the fluid region, and calculating to obtain the flow field result; post-processing the flow field result to obtain the flow field simulation result, which at least includes the pressure difference distribution and the flow field velocity distribution in the slurry cavity; based on the flow field velocity distribution, determining whether the velocity difference between the center and the edge of the fluid domain exceeds the preset threshold value, if it exceeds, adjusting the coating die structure or the process parameters and re-simulating until the uniformity requirement is met; the application reduces the rectification cost, shortens the optimization cycle, and significantly improves the coating uniformity and the edge quality.

The invention discloses a record quality control system and quality control method applied to a clinical test center laboratory, and the method comprises the steps: receiving an inspection request initiated by a target account, the inspection request comprising a target item number and a target record type; searching the target project number in a knowledge base, and obtaining an authorization account corresponding to the target project number; if the authorized account is consistent with the target account, searching a target record abstract corresponding to a target record type under the target item number from a knowledge base, and displaying the target record abstract in an interface corresponding to the target record type; and when a record viewing request initiated by the target account based on the target record abstract is detected, reading a target technical record corresponding to the target record abstract from the knowledge base, and displaying the target technical record. According to the technical scheme, the function of technical record query through the project dimension is achieved, and compared with technical record retrieval through the bar code dimension, the technical record batch retrieval through the project dimension can improve the record consulting and quality control efficiency.

The application discloses a kind of based on artificial intelligence technology's commercial cipher evaluation report automatic generation and quality control system, including multimodal data processing and knowledge graph construction module, based on the multimodal data related to commercial cipher evaluation field, constructs the knowledge graph of cipher evaluation field;Domain large model fine-tuning module is used to construct the instruction fine-tuning dataset of cipher evaluation field, and adopts mixed fine-tuning strategy to carry out field adaptation training to pre-training large language model, generates cipher evaluation field expert large model;Report automatic generation module is based on knowledge graph and expert large model, and automatically generates commercial cipher evaluation report;Quality control module is used to carry out automatic quality check and evaluation to report;System integration and optimization module is used to integrate the above module into an interactive application system, and continuously optimize knowledge graph and expert large model.The application can automatically generate commercial cipher evaluation report and guarantee the correctness and logical consistency of report.

This invention discloses a polyimide imidization quality control system, relating to the field of polymer material processing and control technology. By constructing a polyimide imidization quality control system integrating in-situ sensing, dynamic evaluation, and closed-loop regulation, this invention achieves for the first time quantitative analysis and process adaptation of the photocrosslinking-thermal imidization coupling effect in negatively photosensitive polyimides. This system abandons the traditional "black box" high-temperature, long-term curing strategy, instead employing a gradient temperature control logic based on real-time spectral feedback. It achieves an imidization rate greater than 98% within the 177℃ to 200℃ range, reducing the thermal budget by more than 40% compared to the traditional 300-350℃ process, while ensuring that the resulting film possesses thermal stability and overall mechanical properties comparable to or even better than those of high-temperature processes. This invention provides an engineering-feasible technical path for the green, efficient, and controllable manufacturing of high-performance polyimide materials in advanced packaging fields.

A quality control system may include a controller configured to be communicatively coupled with a monitoring assembly including one or more detectors. The controller may implement two or more artificial intelligence quality control (AIQC) modules associated with two or more process steps for fabricating a composite material, where each of the two or more AIQC modules is associated with a different one of the two or more process steps. A particular AIQC module may receive monitoring data associated with the particular process step for a workpiece, generate quality control data using a particular AI model, and update the particular AI model based on testing data associated with the workpiece from one or more testing tools after at least the particular process step.

A quality control system for lateral flow sticks detects defective sticks while maintaining them on a carrier. A plurality of lateral flow sticks are arranged at spaced intervals in a Y-direction on the carrier, with each stick oriented transversely and configured to detect biomarkers in milk through capillary flow along a porous membrane with test and control lines. A camera captures images of individual sticks, and a controller analyzes stick quality through image processing to measure parameters like width and position critical for proper flow and test line indication. For sticks determined to be defective, a marker applies a visual indication allowing those sticks to be skipped during subsequent use rather than requiring removal of defective sticks and waste of the entire carrier. The system enables efficient quality control while preserving usability of good lateral flow sticks when defects are found.

The preparation process of the eczema cream comprises the following steps: S1, raw material pretreatment: coarsely crushing calcined calamine; removing impurities from cortex phellodendri, coarsely crushing, and removing impurities from indigo naturalis for later use; mixing the three components, performing superfine grinding, and sieving with a 100-mesh sieve to obtain a medicinal powder raw material; s2, substrate preparation: melting and stirring beeswax and sesame oil at 85-90 DEG C, and cooling to obtain a transparent substrate; s3, mixing and forming: mixing the medicinal powder raw materials and the transparent matrix according to the mass ratio of (2.07-1): 2.13, uniformly stirring at 85-90 DEG C, cooling, solidifying, sterilizing and packaging to obtain the eczema cream. According to the standardized preparation process and the quality inspection method of the eczema cream, by optimizing superfine grinding parameters, a matrix ratio and a quality control system, stable production and quality controllability of the eczema cream are achieved, and technical support is provided for preparation conversion.

To provide a quality control system, a management device, a program, and a quality control method for supporting avoidance of blockage of concrete to be pumped.SOLUTION: This quality control system is provided with a control device 1 for controlling the quality of concrete conveyed from a plant 2 to a job site by an agitator truck 3, a slump measuring device 5 for measuring slump when receiving the concrete, a temperature measuring device 7 for measuring the temperature of the concrete, and a display device 6 for displaying quality information of the concrete to be concrete force-fed. The management device 1 includes a calculation part 11 for calculating the slump in the pipe 42 using the correlation information 14, the slump at the time of reception, the temperature, the time elapsed from the time of manufacture, and the time from the time of manufacture to the time of unloading, and a display control part 12 for displaying the calculated slump on a display device 6.SELECTED DRAWING: Figure 1

This invention relates to the field of automatic control technology for stacker-reclaimers, specifically a quality control system for the entire process of mixing operations of a stacker-reclaimer. It overcomes the shortcomings of existing mixing operations, which are prone to material mixing errors. This system allows remote control personnel to start and stop the mixing process with a single button, eliminating the need for continuous close monitoring of the mixing process by staff. Instead, the automated system dynamically monitors the belt scale accuracy, automatically adjusts the operating flow according to the mixing ratio requirements, and spreads any single materials generated during automatic reversal or layer changing. Simultaneously, it minimizes the occurrence of single materials, better controls the mixing operation, and improves mixing quality and operational efficiency.

The present application relates to the production environment monitoring technical field, especially to the silicon steel surface magnesium oxide coating quality control system and method based on data analysis, in the magnesium oxide adhesion prediction, the shape, size matching and environmental factors of silicon steel surface pit and magnesium oxide particle are comprehensively considered, the prediction deviation caused by single factor is avoided;Coating effect analysis combines the friction collision condition and coating adhesion of the history use of silicon steel, and evaluates the dynamic risk;Coating thickness analysis accurately calculates the required coating thickness according to the coating effect threshold value;Finally, the required coating thickness is compared with the safety range, coating meets the process requirements and conforms to the actual operation range, avoids production risk from the source, and guarantees product quality and process feasibility.

The invention discloses a clinical test quality control system which comprises a test process and specification management end, a quality index and index monitoring end, an auditing and checking management end, a file management and version control end, a risk management and problem solving end, a training and education management end and an approval and authorization management end. The test flow and specification management end, the quality index and index monitoring end, the auditing and checking management end, the file management and version control end, the risk management and problem solving end, the training and education management end and the approval and authorization management end are in data communication through a private network and a private line network. According to the method, the quality of the test can be effectively monitored, potential problems can be effectively recognized and corrected, it is ensured that the test meets the requirements of laws and regulations and standards, the credibility and reliability of the clinical test are improved, the rights and interests of subjects are protected, and a reliable basis is provided for explanation and popularization of test results.

The present application belongs to the technical field of metal rolling, and particularly relates to a multi-scale quality control system and method for large-size slab intelligent hot rolling. In order to realize quality abnormality control and process coordination and optimization control in the rolling process of strip and plate, a microstructure model based on crystallographic principles and physical principles is established, the required material parameters are obtained through experiments, and the rolling process organization prediction is realized by means of computer simulation calculation. By establishing a macro-micro evolution model of the slab rolling, the model is embedded into an intelligent control system to realize process optimization based on organization prediction. The reliable model and system can further widen the application range of the prediction model, improve the accuracy and reliability of the prediction, and also provide strong data support for intelligent production of rolling process and ideas and methods for the intelligent development of strip and plate.

The invention relates to the technical field of sensing data monitoring and quality control, and discloses a rainfall sensing data quality control system and method based on multi-source sensing data fusion. The system comprises a quality control maintenance front end arranged at a front-end tipping-bucket rain gauge, and a remote telemetry data credibility evaluation platform. The quality control maintenance front end comprises a rain sensing module, a video monitoring module, a reed switch, a rainfall tipping bucket monitoring module, a residual water and blockage cleaning module, a multi-network convergence communication module and a control module; quality control and health state monitoring are carried out on sensor data of an existing rain gauge, meanwhile, judgment and early warning are carried out on the health state of the rain gauge, and remote maintenance is carried out through a quality control maintenance front end. According to the invention, the problems that the existing rain gauge is inaccurate in rainfall telemetering data, cannot carry out quality control, and cannot carry out monitoring and early warning on key parts of the rain gauge or the health state of the rain gauge are solved, and the data quality, availability, reliability, self-maintainability and intelligent level of the rain gauge are greatly improved.

The invention discloses a quality guarantee control method and a quality guarantee control system for bathroom equipment. The quality guarantee control method for the bathroom equipment comprises the following steps: after the bathroom equipment is powered on, reading a built-in identification code; the user terminal scans a display identification code on the bathroom equipment and sends identification information corresponding to the display identification code to the cloud end through the user terminal, and the cloud end guides the bathroom equipment to perform an equipment activation step and / or an installation debugging step; the cloud end performs authenticity verification after receiving the identification information; and carrying out the equipment activation step and / or the installation debugging step of the bathroom equipment. According to the quality guarantee control method of the bathroom equipment, the user experience such as the use convenience of the bathroom equipment is improved.