225 results about "Quality control system" patented technology

The invention discloses a terminal product surface defect intelligent judgment quality control system and method, and relates to the technical field of industrial automatic detection and intelligent quality control, and the system comprises the following steps: a data acquisition module generates an original detection signal containing environmental interference compensation; the dynamic detection module receives an original detection signal, performs illumination invariance processing through a self-optimization feature extraction network, and outputs a defect feature vector with confidence rating; the quality association module receives the defect feature vector and constructs a three-dimensional association map with real-time equipment state data, and generates a tracing analysis signal containing root cause probability distribution; and the feedback control module analyzes the key process parameter offset in the tracing analysis signal, generates an equipment adjusting instruction and feeds back the equipment adjusting instruction to the production line. The terminal product surface defect intelligent judgment quality control system and method can solve the problems of insufficient surface defect detection precision, difficulty in quality tracing and lack of process closed-loop control in industrial production.

The invention discloses a quality management and control system for fabricated decoration construction, and the system comprises a sensing layer which constructs a multi-modal data collection network, carries out the three-dimensional real-time data synchronous collection through combining logistics API docking and an OCR recognition system, and constructs a construction process digital twin bottom plate; in the edge calculation layer, an edge node carries out lightweight processing on the original data; the cognitive layer is used for calling a Prolog rule through a process knowledge graph engine to reasone the feature snapshots, carrying out defect instant diagnosis and dynamic constraint propagation, outputting a root cause path with probability weight through three-stage verification, and quantifying intervention influence; the decision-making layer is used for constructing a dynamic prediction model based on a bidirectional LSTM and an attention mechanism, automatically activating a compensation mode when key interference is detected in combination with an anti-fact memory bank and a case-based reasoning compensator, and generating an alternative scheme of optimal cost / optimal construction period / comprehensive balance through a multi-target optimizer; and in the application layer, a Unity engine is utilized to develop the digital twinborn billboard.

The invention provides an ultrasonic welding quality control system and method, and relates to the technical field of ultrasonic welding, and the system comprises an acquisition and recognition module which is used for collecting sensor data of welding head displacement, weldment interface temperature, welding head amplitude and welding power in real time in the ultrasonic welding process, identifying a welding head displacement peak value, an interface temperature inflection point and a power fluctuation critical characteristic value; and the parameter extraction module is used for extracting a displacement peak value characteristic value, an interface temperature inflection point characteristic value, a power fluctuation critical characteristic value, a welding head amplitude characteristic value and a welding time characteristic value in the welding process based on the sensor data to form a characteristic parameter set. By means of multi-parameter feature extraction, correlation analysis, dynamic adjustment and closed-loop feedback, accurate control over the welding process is achieved, the welding quality stability is improved, and the rate of unqualified products is reduced.

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 relates to the technical field of high polymer materials, and discloses a method for continuously producing brominated polystyrene, which comprises the following steps: I, preparing raw materials, ensuring the basic quality of the product by high-quality raw materials, and optimizing reaction conditions, improving the yield and reducing unnecessary byproducts by correct selection; step II, premixing and heating, full premixing ensures the consistency of the materials, and more uniform reaction can be realized. According to the method for continuously producing brominated polystyrene, continuous supply of materials is ensured by utilizing an automatic storage and conveying system, uniform dispersion and stable temperature rise of the materials are ensured by adopting a continuous feeding mixer and an indirect heating system, and efficient bromination reaction is performed by using a microchannel reactor; products are rapidly separated and purified by means of a continuous centrifugal separator and a membrane separation technology, and an automatic quality control system is combined with multiple analytical instruments to ensure that the quality of each batch of products is consistent, so that the effect of efficient, stable and continuous production can be achieved.

An automatic heat-sealing quality control system to automatically control a quality of a heat-sealing of a sealing strip to a longitudinal edge of a packaging web at a heat- sealing station in a packaging machine, where sealed packages containing pourable food products are continuously produced from a continuous vertical tube filled with the pourable food product and formed by longitudinally folding the packaging web to overlap longitudinal edges thereof and then heat-sealing the overlapping longitudinal edges. The system comprises a visible-light imaging camera designed to operate in the electromagnetic spectrum visible to human eye to capture and output visible-light digital images.

The invention discloses an aluminum profile production quality management and control system and method, and relates to the technical field of aluminum profile production, the management and control system comprises a raw material detection module, a production process monitoring module, a quality analysis and early warning module, a finished product detection module and a data management module, and comparing with a preset quality standard threshold value to judge whether the aluminum raw material is qualified or not. According to the aluminum profile production quality management and control system and method, in the production operation process, the model is updated in real time according to actual parameters, like a digital twinborn body is created for a production line; whether the temperature fluctuation during smelting or the pressure change in the extrusion process, the system can capture and compare the parameters with standard process parameters in time; once an abnormal trend occurs, the system gives an early warning in advance, and a worker can adjust the process in time according to the early warning, thereby effectively preventing quality problems caused by abnormal equipment parameters, guaranteeing stable operation of production, and reducing loss caused by production interruption.

The invention relates to the technical field of display screen detection, in particular to an MLED display screen online quality control system and method based on an NQI system. The MLED display screen online quality control system based on the NQI system comprises an image processing terminal used for obtaining and sending a calibration graph card instruction according to a standard quantity value of a standard screen; the standard display screen is in communication connection with the image processing terminal, and the standard display screen is used for receiving the calibration graph card instruction and displaying a standard image according to the calibration graph card instruction; the color analyzer is in communication connection with the image processing terminal, and the color analyzer is used for collecting standard image data; and the image processing terminal performs online calibration on the color analyzer according to the standard image data and the magnitude of the standard screen and obtains a calibration report. The display screen detection efficiency and the quality control effect can be improved.

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.

A range finder of an autonomous quality control system measures a horizontal distance between the range finder and a first pile installed at a first location. The autonomous quality control system iteratively tilts the range finder upwards until the range finder no longer detects the first pile. The autonomous quality control system determines an angle of the range finder relative to horizontal when the range finder no longer detects the first pile. The autonomous quality control system determines a first height of the first pile based on the horizontal distance and the determined angle. A pile driving system installs a second pile at a second height within a threshold height of the first height.

The invention relates to the technical field of component quality control, and discloses a remote component quality control system based on digital twin and wireless communication. A component data acquisition module of the system obtains multi-dimensional data of a to-be-monitored component through a wireless sensor network, and a component identification code is associated to generate a quality basic data set; the regional association analysis module establishes association mapping of adjacent components according to a spatial topological relation to form a quality association partition map; the environmental response evaluation module analyzes the influence degree of environmental factors on the performance of the component and generates an environmental response analysis report; the defect positioning module identifies problem points and constructs a defect distribution map; and the quality early warning module integrates the problem points and the associated parameters, marks the position of the potential safety hazard, and outputs a quality evaluation and risk early warning report. The system realizes remote and comprehensive control of component quality, and assists in timely finding and dealing with quality problems.

The invention discloses a substance-based quality detection method for Xiaohuang powder, and belongs to the technical field of quality detection of traditional Chinese medicines. According to the method, standard control of a classic famous prescription is realized by constructing a multi-dimensional quality control system. The method comprises the following steps: firstly, carrying out specific identification on gardenia, divaricate saposhnikovia root, liquorice and pogostemon cablin in the prescription by adopting a thin-layer chromatography; meanwhile, a multi-index component content determination method is established, and the contents of five components including geniposide, cimicifugin, 5-O-methylvisammioside, liquiritin and glycyrrhizic acid are synchronously determined by applying a high performance liquid chromatography (HPLC). Through a system quality control strategy combining qualitative identification and quantitative analysis, not only is a quality standard system of the substance reference of the Xiaohuang powder perfected, but also reliable technical guarantee is provided for ensuring the stability and consistency of product quality. The establishment of the method establishes a standardized method system for the substance-based quality control of the classical famous prescription Xiaohuang powder.

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.

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 AI 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.

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 relates to a construction quality management and control system and method based on a BIM model, and the system comprises a construction progress monitoring module which is used for monitoring the construction progress of a BIM model component in real time so as to trigger the execution of a construction quality control project; the quality control point mapping module is used for generating a to-be-detected component set according to the construction quality control project and obtaining a corresponding quality control point and a quality control point risk level by using a multi-level quality control mapping table, and the quality control point risk level has a dynamic adjustment mechanism; and the construction quality evaluation module is used for executing construction quality control evaluation of the BIM model according to the to-be-detected component set, the quality control points and the quality control point risk levels. According to the method and the device, the quality control points of the construction quality control project and the corresponding BIM components are accurately and quickly positioned by utilizing the multi-level quality control mapping table, the dynamic control capability of the construction quality is effectively improved by a dynamic adjustment mechanism of the risk level, and the problem of how to improve the construction quality control efficiency based on the BIM model is solved.

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 discloses a management and control system and method for cold recycled pavement construction process quality, and relates to the technical field of construction process quality management and control. The system comprises a parameter acquisition and space-time alignment module, a dynamic association modeling module, a quality risk early warning module and an abnormal intervention strategy module. According to the method, material, equipment and environment parameters are collected and subjected to space-time alignment, and a multi-dimensional parameter dynamic correlation model is established to map parameter deviation and quality defects; setting multi-level early warning thresholds, analyzing the parameter data in real time and triggering corresponding early warning; and generating a material adjustment and equipment optimization scheme based on linkage influence of parameter abnormity on subsequent processes in early warning deduction. According to the invention, the dynamic management and control of the construction quality are realized, and the quality stability and the management and control efficiency are improved.

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.

The invention provides a nursing quality management and control system based on multi-modal data, relates to the field of intelligent nursing, and adopts a data processing technology based on artificial intelligence to perform comprehensive analysis on a set described by acquired nursing feedback texts and an environment state image of a target inpatient area. Therefore, nursing feedback text association semantics related to a plurality of target patient objects and environment state characteristics of the target inpatient area are captured, and nursing quality management suggestions are intelligently generated based on remarkable interaction representation information between two cross-modal data including the nursing feedback semantics and the environment state of the inpatient area. Therefore, more accurate and effective nursing quality management suggestions can be provided, and more scientific and reasonable nursing quality management can be realized.

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.

The invention relates to a skin structure forming quality control system and method. Comprising a six-axis industrial robot (1), a tail end quality detection unit (2), a rotary table (4), a supporting platform (5) and a control table (6). The tail end quality detection unit (2) is used for acquiring surface image information in real time and transmitting the surface image information back to the control console (6) for defect detection, and the control console (6) is used for controlling the tail end quality detection unit (2) to move and position to a defect area according to a defect detection result. According to the invention, the error rate of operators can be effectively reduced, the skin composite material forming efficiency is greatly improved, and the economic loss of enterprises is reduced.

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 present invention discloses a medical record quality monitoring method and system based on big data, the method comprising: creating a medical record connotation quality control system database and formulating quality control rules, collecting medical record data and inputting it into the medical record connotation quality control system database; scoring the medical record data using a preset medical record quality scoring system, determining qualified attributes of the medical record data based on the scoring results, and determining medical record availability based on the qualified attributes; screening out valid medical records based on medical record availability, determining time specification parameters and content specification parameters based on quality control rules, and performing quality control processing on valid medical records using the time specification parameters and content specification parameters; determining medical record defects based on the quality control results, performing feedback modification processing based on the medical record defects, and performing second-order final quality control on valid medical records. Effective quality control work can be performed on each medical record quickly and accurately according to quality control requirements, thereby improving work efficiency while also improving practicality, standardizing medical behavior, and enhancing medical record quality.