35 results about "Quality control charts" patented technology

The invention provides a quality control chart pattern recognition method based on improved genetic algorithm optimization. The quality control chart pattern recognition method comprises the followingsteps: simulating various pattern characteristics of a control chart by using a Monte Carlo method; generating data of a corresponding mode through the parameter values; adopting the PCA principal component analysis method to carry out dimension reduction and denoising on the original data, main features of the data are extracted, shortening the training time of the model and improvintg the recognition accuracy; establishing a probabilistic neural network model, and carrying out pattern classification recognition by utilizing the characteristics of simple structure and convenient training; optimizing a main parameter smoothing factor of the probabilistic neural network by virtue of an improved single-objective optimization genetic algorithm; searching possible abnormal reasons from different aspects according to the identification result.The method solves the problems that all abnormal conditions cannot be monitored and recognized when an existing enterprise carries out quality control, effective abnormal information is difficult to find from a control chart, and appropriate measures cannot be taken to correct the abnormal conditions in the production process.

The invention discloses an estimation method for mobile points of a software reliability growth model. The estimation method comprises the first step of drawing a quality control chart according to software system actual failure data, the second step of obtaining initial mobile points according to the quality control chart and a mobile point judging criterion, and the third step of obtaining the accurate positions of the mobile points by using a gradual adjustment method. According to the estimation method for the mobile points of the software reliability growth model, the mobile point judging criterion is provided, the preliminary judgment of the mobile points are more accurate, the number, obtained in an estimated mode, of the mobile points is accurate, and positional deviation is small. The estimation method for the mobile points of the software reliability growth model is a new mobile point estimation method, and the problem that the position estimation of the mobile points is not accurate is solved by using the gradual adjustment method on the basis that the number and the positions of the initial mobile points are obtained by using the quality control chart.

The invention discloses a method for identifying traditional Chinese medicinal materials and easily confused counterfeit medicines on the basis of ion mobility spectrometry and similarities. The ion mobility spectrometry is used as an analysis and test means, quantification processes include similarity computation and quality control charts, and the quantification method applicable to controlling the quality of the traditional Chinese medicinal materials can be provided. The method has the advantages that the method gives priority to quantitative evaluation rather than qualitative analysis dominant in traditional quality control identification of the traditional Chinese medicinal materials and is speedy, accurate and capable of achieving quantitative output, so that a novel evaluation thought is provided for the quality safety of the traditional Chinese medicinal materials in China, and the method is of important significance to quality control guarantee and clinical medication safety of the traditional Chinese medicinal materials.

The invention discloses a building method and application of a brucellosis tube agglutination test quality control chart. The building method and application has the advantages that the method applies the quality control chart to a tube agglutination test in an exploration and innovation manner, an optical density value is used as the control value to obtain an object controlled by the test, and a new statistical manner and reference are provided for the process control in the field of animal quarantine; in addition, during the application process of the quality control chart, the quality control chart can be regulated and optimized at any time along with the accumulation of test data so as to increase the precision and control power of the quality control chart.

The invention provides a quality control method and device for an environment monitoring instrument, and relates to the technical field of automatic quality control, and the method comprises the steps: obtaining to-be-identified quality control data and quality control behavior data, and enabling the to-be-identified quality control data to be data obtained after the quality control processing ofa monitoring result of controlled equipment; Determining a quality control behavior of the to-be-identified quality control data based on the quality control behavior data; Determining a correspondingquality control graph based on the quality control behavior of the to-be-identified quality control data; And carrying out quality control analysis on the quality control data to be identified by using the corresponding quality control graph, wherein the quality control chart analysis result is used for determining at least one of the following conditions: the monitoring data condition to be subjected to quality judgment, the performance of the controlled equipment and the uncertainty of the controlled equipment, and the technical problems that an existing quality control method is low in automation degree and poor in practicability are solved.

The invention discloses an assembly line product information collection device which includes a data collection system, a data transmission system, a data processing system and an information feedback system. The data collection system collects the identity information of an assembly line product. The data transmission system exchanges data with the work stations on the assembly line, and the work stations on the assembly line collect field data. The data processing system acquires the field data collected by the work stations on the assembly line through the data transmission system, and processes the field data to generate result data, wherein the result data includes a quality control chart established and optimized based on the field data. The information feedback system feeds back the result data generated by the data processing system to a remote terminal. The invention further discloses an assembly line product information collection method. Through the assembly line product information collection device and the collection method of the invention, the efficiency of information collection can be improved, convenient input, statistics and feedback can be realized, the first-pass yield of goods receipt is improved, and the rework rate and the process cost are reduced.

The invention discloses a small-sample optimal quality control method based on a process capability. The method includes the following steps: 1. determining an objective function; 2. determining constraint conditions; 3. determining a concrete form of a model. Based on Bayes correction, the method studies a small sample which has utilization values to the correction and screens and discriminates the small sample through construction of a rapid judgment model and judges a process quality problem and thus under a condition that the process quality is known, a process quality control chart is designed to monitor a production process and the control chart is continued to be corrected according to a produced small sample and finally a better control effect can be achieved finally. At the same time, setting of a benchmark table also provides a reference for judgment of the process capability problem through use of the small sample.

The invention discloses production and use methods of a hepatitis B surface antigen serum indoor quality control product. The production method includes the five steps of: raw material collection and screening, preparation of diluted serum, storage and monitoring of a standby quality control product, quality control, and continuous improvement; and the use method include the three steps of: storage, re-dissolving, and application. The production and use methods are complete and clear, are sensitive to random variables, and can find random problems and perform continuous improvement. The methods are low in difficult and has good operability since the most common Levery-Jennings quality control chart is employed; and the methods are very sensitive to unpredictable random problems that occur in a production process since a quality control limit of 13S is employed, so that the methods can be used for continuously improving and optimizing the production process in detail during production.

The invention discloses a multi-dimensional evaluation method for product quality in a cigarette primary processing process based on a material characteristic value, and the main design concept of the method is as follows: in combination with a specific process of a production workshop, a sample to be detected is obtained from an outlet of corresponding equipment, and a corresponding tobacco characteristic value is obtained; and establishing a comprehensive evaluation mechanism from four dimensions of a quality control chart, tobacco material mixing uniformity, a process capability index and a variance reduction index by utilizing the tobacco characteristic value. According to the method, comprehensive and objective multi-dimensional evaluation is carried out on the material mixing uniformity and quality stability in the cigarette cut tobacco making process in combination with a real production scene, and a reliable reference basis can be provided for the key process of cigarette cut tobacco making in the aspects of optimization, improvement and management and control of product quality stability.

The invention relates to a laboratory risk target quality control technology. The invention discloses a laboratory risk target quality control chart drawing method, and solves the problems that a quality control scheme in the prior art needs tedious rules, the risk in quality control cannot be intuitively evaluated, and risk evaluation schemes proposed by part of researches are complex and are notbeneficial to popularization and application. The method comprises the following steps of: calculating a long-term standard difference value which reflects the long-term stability degree of the laboratory; calculating error distribution parameters of the laboratory; measuring the quality control product when the quality control is implemented each time; obtaining quality control results, calculating an error distribution parameter of the detection system according to the Bayesian theorem; calculating the possibility of existence of different errors, calculating the probability of exceeding the allowable total error when different errors exist, calculating the total risk of the quality control, taking the number of times or days of the quality control as an abscissa, taking the size of thetotal risk of the quality control and a quality control result as an ordinate, drawing a quality control graph, and setting a risk control line in the quality control graph.

The invention belongs to the technical field of information management, and provides a full-automatic chemiluminescence immunoassay analyzer management system, which comprises a reagent loading module used for scanning an RFID card on a reagent bottle, reading data information of the reagent bottle and displaying the data information on a preset interface; the sample detection module is used for acquiring data information and position information of the sample in a preset mode and performing detection management on the acquired sample according to a preset detection item; the calibration module is used for performing calibration detection on a preset detection item according to a preset calibration parameter; and the quality control module is used for performing out-of-control analysis on the quality control data according to a preset quality control method. The method has the advantages that a plurality of quality control rules can be selectively combined to form a corresponding quality control method, and the quality control data is subjected to failure analysis, so that the accuracy of a detection result is ensured; and quality control data are integrated to form a quality control chart, and alarm information is sent out in time when the quality control chart is out of control, so that the work of the analyzer can be stopped in time.

The invention discloses an R2R manufacturing system fault coverage determination method and device. The method comprises the steps that on the basis of correlation analysis among various stations of aflexible material (Roll to Roll, R2R) manufacturing system, physical analysis and a data driving method are combined to establish a relational expression describing multi-station process deviation and product final quality, a model of a variation stream (stream of variation, SoV) in controlled and uncontrolled states of the manufacturing system is established, a corresponding quality control chart used for monitoring autocorrelation data is established for product quality characteristic variables, the problem of high false alarm rate in fault determination methods of an existing single-factorcontrol chart, multi-factor control chart, a regression adjustment control chart and the like when a multi-station system is monitored is solved, especially when the process data has autocorrelation,and the technical problem that the abnormal failure in the manufacturing process cannot be monitored by adopting a conventional control chart under an independence assumption is solved.

The invention relates to an improved preventive maintenance and mean value control chart combined economic optimization method, and provides an improved process quality control chart and preventive maintenance combined design optimization method on the basis of considering that the early failure probability of equipment is low, and the method comprises the following steps: 1, analyzing historicaldata; step 2, establishing a unit time cost function ECT by taking minimization as a target according to the abnormal condition of the system; 3, constructing an empire competition optimization algorithm according to the model, and verifying the effectiveness of the model by adopting a Matlab language and combining the production process of a certain mold manufacturing enterprise; 4, performing sensitivity analysis on the model by adopting an orthogonal test design and regression analysis method, and explaining different influences of model parameters on a target function. Due to the fact thata control chart detection point is delayed to a certain preset time point, for a system with a relatively low early hazard rate in a production process, and compared with a system model which initially implements control chart monitoring in system operation, the model of the invention can obtain better economic performance.

The invention aims to provide a gas turbine anomaly detection method based on a quality control chart theory. The gas turbine anomaly detection method comprises the following steps: acquiring time sequence operation data of time t of a to-be-detected measurement point of a gas turbine in real time, and dividing the time sequence operation data into a model construction data column a and an anomaly detection data column b according to a time sequence; constructing an upper boundary and a lower boundary of the anomaly detection model through a method of giving a standard deviation multiple m of a model construction data column a, and calculating a mean value of the model construction data column a as a control center line of the anomaly detection model; selecting one or more corresponding detection rules based on a quality control chart theory according to gas turbine operation experience and to-be-detected data point characteristics; and detecting data of an abnormal detection data column b by using the model, if the data accords with the description of the detection model, indicating that the data of the data point is abnormal, otherwise, repeating the process after t/3 time so as to realize real-time iterative anomaly detection. According to the invention, health monitoring and fault pre-judgment can be effectively carried out on mass highly complex system information data of the gas turbine.