344 results about "Quality control system" patented technology

The invention discloses an electronic medical record automatic quality control system and method based on a large language model, and the method comprises the steps: extracting medical record data from a medical information system, and carrying out the data preprocessing; and performing deep semantic analysis on the medical text by utilizing a large language model, and extracting key diagnosis and operation information. And performing semantic representation on the medical terms by fine tuning the pre-training language model and combining with a multi-layer attention mechanism. And constructing an ICD coding knowledge graph, and calculating the semantic similarity between the diagnosis terms and the ICD coding terms in the electronic medical record by using an embedded vector technology to realize automatic matching. And according to a predefined quality control rule, automatically checking the electronic medical record through the logic expression, and generating a quality control report and an improvement suggestion. And finally, visually displaying quality control and coding results, and outputting a quality control report. The electronic medical record quality control efficiency and accuracy are improved, and standardization and automation of quality control work are achieved.

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 a high-precision industrial quality control system based on an AI large model and an application method, which are characterized by being applied to detection and measurement of industrial products. Comprising a product data acquisition module in an industrial production process, a data preprocessing module, an AI large model suitable for industrial quality control, a quality detection module, a result feedback and decision support module, a control module and a system management module, the application of the AI large model suitable for industrial quality control comprises the steps of constructing the AI large model suitable for industrial quality control, calling the AI large model suitable for industrial quality control, executing the control system, carrying out multi-modal data fusion, and carrying out multi-modal data fusion. The product data acquisition module in the industrial production process acquires data of multiple modes for quality detection and measurement, the AI large model suitable for industrial quality control adopts a data fusion algorithm, and the feedback module provides a visual detection result. And visually displaying the detected quality problem to a user in the form of an image and a chart.

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 assembly quality control method and system based on the industrial Internet of Things and a medium, the method is executed by an industrial Internet of Things management platform of the assembly quality control system based on the industrial Internet of Things, and the method comprises the following steps: obtaining quality inspection information of a plurality of parts to be assembled, and determining the assembly quality of the parts to be assembled based on the quality inspection information and the assembly information; determining an assembly risk value of at least one assembly process through an assembly database; generating assembly parameters in response to the assembly risk value meeting a risk condition; acquiring assembly process data of the assembly work, and determining the assembly quality of the completed process based on the assembly process data; in response to the situation that the assembly quality does not meet the quality requirement, subsequent assembly parameters are determined based on the assembly quality, and quality early warning information is generated based on the assembly quality and the subsequent assembly parameters; based on the assembly quality, quality update data is generated. The possibility that the assembly quality is unqualified can be predicted, and early warning or assembly parameter adjustment can be timely given out according to the condition that the assembly quality is unqualified.

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 a quality control system with automated sampling for laser-based quality control (32) of an atmosphere enclosed in packaging (V, T) produced by a packaging machine (1, 1'). Furthermore, the invention relates to a method for automated sampling of packaging (V, T) produced by a packaging machine (1, 1') for the purpose of laser-based quality control (32) of an atmosphere enclosed in the packaging (V, T).

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 belongs to the technical field of cast-in-situ bored pile foundation quality control, and relates to a cast-in-situ bored pile foundation quality control system based on a pebble stratum. According to the method, the construction basic data of the cast-in-situ bored pile of the pebble stratum is analyzed, the proper construction basic data is selected according to the characteristics of the current pebble stratum, it is ensured that the quality of a pile foundation meets the design requirement, and the safety and stability of engineering are guaranteed; the construction scheme is dynamically adjusted and optimized according to the real-time detection data and the quality evaluation result by analyzing the quality evaluation index of the pebble stratum in each construction process of the cast-in-situ bored pile and the quality evaluation index of the whole construction process, it is ensured that each step of construction meets the design requirement and the quality standard, and the construction efficiency is improved. Corresponding construction control is carried out on the target pebble stratum in each construction process of the cast-in-situ bored pile, the construction quality condition is fed back in real time, the problem working procedure can be rapidly positioned, invalid construction is avoided, and the overall construction quality is 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 meteorological observation message quality control system and method, and relates to the technical field of message control quality, and the meteorological observation message quality control system comprises an image recognition module which is used for recognizing characters in a picture of a message editing region of observation message editing and sending software; the message analysis module is used for analyzing the identified characters into message elements; the quality control rule base is used for storing message quality control rules; the quality control mode is carried out by adopting a mode of combining rule control in the message element groups and logic control among the element groups, the detection and control of a software system on the message quality are not limited by the original software version of the observation, compiling and sending message, and the original working program of the observation, compiling and sending message and the message data forwarding are not influenced; software system application has universality and universality.

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 rattan-plaited product quality control system, and the system comprises an input unit which collects the data information of the quality of a rattan-plaited product in the production process; the calculation unit obtains the data information collected by the input unit and calls an association formula to calculate and obtain quality evaluation data of the rattan plaited product; and the display processing unit is used for acquiring the quality evaluation data output by the calculation unit and carrying out corresponding display alarm according to the quality evaluation data. According to the rattan plaited product quality control system, information of the product is collected through the input unit arranged on each production process, quality detection is carried out on the product after the current process is completed, data are collected, and quality evaluation data are calculated according to an association formula to achieve quality monitoring of the whole link. And the problem of product scrapping or multi-channel repair caused by quality problems of quality detection after complete production of the product can be avoided.

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 invention discloses a physical examination quality control system. The quality control system is in interactive connection with a mobile terminal through the Internet; the quality control system comprises a quality control module and a data management and analysis module. The quality control module comprises a first-level quality control module, a second-level quality control module and a third-level quality control module. The primary quality control module comprises a problem unit, an analysis unit and a marking unit; the secondary quality control module comprises a quality control spot check unit, a quality control table unit and a rectification unit; the third-level quality control module comprises a quality control summary conference management unit, a conference content unit and a tracking evaluation unit; and the data management and analysis module provides a mobile terminal with query, statistics and analysis permissions to perform query, quantity statistics and query result analysis according to the screening conditions. According to the invention, comprehensive quality control of multiple inventions is realized, omissions and errors in the service process are reduced, and high quality and safety of medical services are 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.

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.