287 results about "Quality control system" patented technology

The invention provides a wire harness production quality control system based on artificial intelligence. The wire harness production quality control system comprises a wire harness data acquisition module, a wire harness knowledge graph module, a wire harness quality correlation analysis module, a wire harness quality causal reasoning module, a wire harness quality prediction module, a wire harness parameter optimization module and a wire harness decision support module. The system identifies complex association through a graph neural network, discovers problem root causes through time sequence analysis and causal reasoning, optimizes production parameters in combination with a virtual environment, and provides scientific decision support. According to the method, the technical problems of complex correlation identification, time-delay effect capture, causal relationship determination, parameter optimization and the like in wire harness production are solved, and intelligent quality control of the whole process is realized.

The invention provides a construction method of a composite trauma medical record intelligent quality control system, and relates to the technical field of multi-modal data intelligent processing, and the method comprises the steps: obtaining trauma medical record data containing a text record and a medical image, generating an image-text confrontation sample based on a shielding recombination mechanism, and carrying out the reconstruction of the image-text confrontation sample; and mapping the text and image features to a unified feature space by adopting a cross-modal embedding method to generate semantic association features. And the system maps the semantic features with a preset quality control rule, constructs a clinical event atlas, identifies missing information through causal effect analysis and anti-factual reasoning, and generates quality control defect data. And then, constructing a risk propagation model according to the number of defects and criticality, forming a thermal distribution matrix and an evolution path, calculating a medical record risk score, and finally realizing quality control alarm output and data writing. The method has the characteristics of high universality, high timeliness and high intelligence, and is suitable for quality control system construction tasks in various complex data environments.

The invention discloses an AI quality control system based on digital twinning, and relates to the technical field of injection molding product production, and the system comprises a data acquisition module, a digital twinning modeling module, an AI quality detection module, a quality analysis module and an environment optimization module. The data acquisition module collects production and environment data in real time, the digital twin modeling module obtains a high-precision model by simulating the production process, and the AI quality detection module compares simulation data with standard data, calculates a forming deviation coefficient and adjusts process parameters. The quality analysis module detects the injection molding defect risk through the stress concentration coefficient, and the environment optimization module monitors the production environment and provides an optimization strategy when an early warning instruction is triggered. The system can monitor the production process in real time, dynamically adjust technological parameters, improve the production efficiency and the product quality and reduce the rejection rate.

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 intelligent electronic assembly quality control system based on AOI (automatic optical inspection) and SPI (solder paste printing inspection) integration, and belongs to the field of electronic information equipment flexible production lines. Comprising an AOI module, an SPI module, a data integration module, a feedback control module and a data storage and transmission module. All the modules carry out high-frequency data transmission through an industrial Ethernet; according to the system provided by the invention, the precision of quality detection is improved, and the accurate recognition of defects is realized through the data association of the AOI and the SPI module and the anomaly detection of the SVM and the CNN algorithm. Real-time process optimization is achieved, the feedback control module automatically adjusts printing and mounting process parameters according to the quality data model, and the product consistency is remarkably improved. The method improves the traceability and safety of the data, achieves the efficient storage and safety access of the detection data through distributed cloud storage and data encryption transmission, and supports the quality problem traceability.

The invention discloses a construction engineering management quality control system and a risk management method, and relates to the technical field of construction engineering management, and the key point of the scheme is that the system comprises a risk analysis module, an engineering environment monitoring module, an engineering quality detection module and a structure specification examination module. According to the method, dynamic management of project quality and risks is realized by analyzing construction project data and monitoring a project site in real time, the risk level of the construction project is accurately quantified through multi-factor risk assessment, and compared with a traditional method, potential risks can be identified in the early stage of the project, prevention measures can be taken, and the risk level of the construction project can be accurately evaluated. The potential risk occurrence rate is remarkably reduced, the transparency of the construction process is improved through integrated analysis of real-time videos and sensor data, project managers can monitor quality control points in real time, construction strategies are adjusted in time through immediate recognition and analysis of concrete surface defects, the construction process is optimized, and the construction efficiency is improved. And the overall safety and success rate of project management are improved.

The invention discloses a cast-in-place beam steel bar truss floor support plate installation construction quality control method and system based on BIM and VR. The method comprises the following steps of BIM three-dimensional modeling, construction scheme simulation, VR scene building, 3D scanning and model comparison, unmanned aerial vehicle cruise monitoring and real-time interaction and cooperative management. A whole-process, visual and interactive construction quality control system is constructed, so that constructors can intuitively and clearly know details such as spatial positions and connection modes of all components, the understanding difficulty is greatly reduced, and construction errors caused by drawing understanding deviation are effectively reduced; scheme simulation optimization before construction of the steel bar truss floor support plate, real-time dynamic monitoring in construction and efficient collaborative management of all construction parties are realized, so that the construction quality risk is pre-judged in advance, the construction deviation is corrected in time, and the accuracy and efficiency of construction quality control are improved; the construction cost is reduced, the construction period is shortened, and the construction quality of the steel bar truss floor support plate meets high-standard requirements.

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 relates to the field of material preparation, and discloses a preparation method and system for realizing a silylene heating material, and the method comprises the following steps: firstly, obtaining a high-purity silicon raw material, analyzing purity factors, screening basic raw materials, measuring key components, then constructing a synthesis process route according to the components, proportioning reaction aids to optimize active parameters, and finally preparing a silylene heating material. The method comprises the following steps: preparing a silylene initial product by using chemical vapor deposition equipment, analyzing a crystal structure, evaluating lattice quality based on structural data, formulating a post-treatment process to remove impurities, detecting a heating performance index to calculate heating efficiency, constructing a material heating framework, querying a heat conduction factor to generate a preparation process flow, and finally establishing a quality control system according to the process flow. And querying heat fluctuation mining data, and generating a preparation management strategy. The material preparation efficiency of the silylene heating material can be improved.

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 medical image diagnosis report quality control system based on artificial intelligence, and the system comprises a report obtaining module which is used for obtaining medical image diagnosis report data, and the medical image diagnosis report obtaining modes comprise on-line transmission and off-line import; the content identification module is used for identifying the content of the medical image diagnosis report to obtain the report content; the checking module is used for checking and correcting the content of the report to obtain a checked and corrected report; the report generation module is used for analyzing the check and correction completion report to generate a structured report; the feedback module is used for collecting feedback information of the user on the structured report and comprehensively processing the feedback information to generate optimization management information; and the intelligent evaluation module is used for comprehensively analyzing all the generated structured reports to generate overall quality evaluation information. According to the invention, more comprehensive quality control of the medical image diagnosis report can be carried out, so that the quality of the medical image diagnosis report is effectively 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.

An automatic heat seal quality control system (12) for automatically controlling the quality of heat seals at the longitudinal ends of a packaging web (3) of a sealing strip (6) in a heat seal station (7) of a packaging machine (1). A sealed package (5) containing a cast food product is continuously manufactured from a continuous longitudinal tube (2) filled with the cast food product. The automatic heat seal quality control system (12) is formed by folding the packaging web (3) longitudinally and overlapping its longitudinal ends, and heat sealing the overlapping longitudinal ends. This system (12) includes a visible light camera (19) designed to operate in the electromagnetic spectrum visible to the human eye in order to capture and output a visible light digital image, and captures and outputs a visible light digital image.

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 relates to the field of intelligent control of decoration construction quality, and particularly discloses a building decoration construction quality control system and method. The method comprises the following steps: acquiring parameter information of a laser level meter to be monitored at a plurality of preset time points, building decoration environment parameters at the plurality of preset time points and a laser line image sequence emitted by the laser level meter as input data, and then performing feature extraction and analysis on input data distribution by using a deep learning technology; and then the feature information is synthesized to obtain a classification result used for representing control instructions of laser level meter parameters, and the control instructions of the laser level meter parameters comprise precision adjustment, environmental influence compensation and the like. Therefore, the laser gradienter can be adjusted in time, and the accuracy and reliability of the laser gradienter are ensured. Therefore, the stability and the reliability of the building decoration construction quality can be ensured.

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.