10 results about "Quality control charts" patented technology

The invention discloses a slope instability early warning method, and relates to the field of slope monitoring, and the slope instability early warning method based on a multivariate regression statistical model and a quality control chart comprises the steps: building the multivariate regression statistical model between slope physical quantity monitoring data and environmental factors, introducing a risk rate index, and carrying out the quantitative evaluation of a slope state, meanwhile, the change trend of the physical quantity of the side slope is visually reflected by using a quality control chart, and grading early warning indexes are set. Aiming at the problem of low early warning precision of slope instability in the prior art, the invention provides the early warning method for slope instability, and the method comprises the steps: building a multiple regression statistical model between slope physical quantity monitoring data and environmental factors, and introducing a risk rate index to carry out the quantitative evaluation of the slope state, thereby achieving the early warning of slope instability. Meanwhile, the change trend of the physical quantity of the side slope is visually reflected through the quality control chart, graded early warning indexes are set, and the early warning precision is improved.

The invention provides a visualized monitoring method and system for highway construction site laboratory data, and the method comprises the steps: obtaining original test data, creating an asynchronous processing task corresponding to the original test data, calling a data processing assembly line through the asynchronous processing task to process the original test data, and carrying out the processing of the original test data. Clean data is obtained; the data processing pipeline comprises data filtering, data conversion and data right confirmation which are executed in sequence; key indexes of the clean data are extracted and written into a cache database in a key value form, quality control chart parameters are calculated based on data in the cache database, and the quality control chart parameters obtained through calculation are stored in the cache database; and in response to a data request of a front end, reading the key indexes and the quality control chart parameters from the cache database, and performing visual display, so that the overall processing capability and the user experience are remarkably improved.

The invention discloses a hospital infection management quality control and evaluation system, which belongs to the technical field of data processing and comprises an infection data acquisition subsystem, a quality control classification subsystem, a confidence interval determination subsystem, an infection quality control subsystem, a visual early warning subsystem and an early warning evaluation subsystem. According to the method, the acquired infection data is classified according to the data types and the sample collection quantity, and based on the hierarchical qualified line graph, the quality control graph and the combination of the SIR method and the Bybar method, infection data management and classified quality control early warning and evaluation under different conditions are realized, and the problem that quality control is difficult to effectively carry out on hospital infection prevention and control data is solved.

This invention discloses a method, apparatus, medium, and equipment for constructing quality control charts based on fuzzy numbers, belonging to the technical field of quality supervision information systems. The method includes: obtaining key quality characteristics corresponding to key processes in the manufacturing process, wherein these key quality characteristics are controlled by control charts; defining fuzzy numbers that satisfy conditions based on the key quality characteristics corresponding to the key processes, and determining the possible value range of these fuzzy numbers; and constructing a control chart corresponding to the uncertain quality characteristics by performing quality factor analysis on the key processes in the manufacturing process, based on the fuzzy numbers that satisfy the conditions, the possible value range of these fuzzy numbers, and the uncertain quality characteristics in the production process. The apparatus, medium, and equipment can be used to implement this method. It can accurately determine random errors in the manufacturing process and more accurately reflect the actual product quality situation.

The present application relates to the field of high-temperature Daqu production, and particularly relates to a method for quality monitoring in the production of high-temperature Daqu, comprising the following steps: (1) obtaining the amino acid content data of high-temperature Daqu in different production links; (2) taking the amino acid content data obtained in step (1) as a control index, constructing a quality control chart by using the single-value-moving-range control chart principle in Shewhart control chart, and monitoring the quality of high-temperature Daqu in the production process by using the quality control chart; wherein the amino acid comprises one or more of L-aspartic acid, L-threonine, L-valine, L-methionine, L-tyrosine, L-isoleucine, L-leucine, L-phenylalanine and L-tryptophan; and the amino acid is a precursor of an important flavor component in high-temperature Daqu. The method can effectively monitor the quality of high-temperature Daqu in different production links, and further provides a reference for the quality monitoring method in Daqu production.

The application discloses a kind of chlorination control method and system, the method includes: obtaining parameter information, obtain the best chlorine dosage, best dosage, according to the best dosage in water pipeline chlorination;Curve quality control chart is constructed to obtain the first measurement data of residual chlorine in water after disinfection contact of filtered water, the evaluation of chlorination curve is carried out, and the best chlorine dosage and the best dosage are updated;Disinfection control quality chart is constructed, and the second measurement data of residual chlorine of effluent of clear water tank is obtained, quality evaluation is carried out to obtain control quality grade and show.Through the method provided by the application, according to the best dosage of chlorine and the adjustment of the dosage of chlorine can realize automatic chlorination control, which does not depend on professional technicians, can realize effective chlorination control, avoid the phenomenon of chlorination lag or excessive chlorination, through data analysis, long-term supervision and evaluation are carried out to disinfection control quality, potential problems and improvement space are identified, and the continuous improvement of water supply disinfection safety is ensured.

The invention provides a digital three-dimensional evaluation method based on a virtual quality control product, and the method comprises the steps: screening a dynamic reference crowd data subset from clinical examination data of a medical institution through a constructed dynamic reference crowd screening model for each control item needing quality evaluation, and carrying out the screening of a dynamic reference crowd data subset in a longitudinal dimension, an EWMA control chart and a median quality control chart are adopted to realize high-resolution real-time monitoring of the performance of a single hospital inspection information system along with time change so as to evaluate the longitudinal stability in the hospital; in the transverse dimension, a Z-score graph and a relative deviation graph are adopted, transverse comparison and quantitative evaluation of inspection results of all hospitals in a region at the same time point are achieved, the transverse consistency between the hospitals is evaluated, the evaluation result is real and accurate, early warning can be given out at the initial stage of tiny drifting of system performance, and the safety of the hospitals is improved. Therefore, generation and reporting of a large number of inaccurate test results are effectively prevented, inter-hospital comparison can be carried out in any time period, and limitation of traditional EQA organization activity frequency is broken through.

This invention discloses a method for preparing quality control samples of gold ore, characterized by the following steps: S1. Raw material preparation and determination; S2. Gradient target design and proportion calculation; S3. Processing and preparation. By providing a method for preparing quality control samples of gold ore, the method achieves a high degree of matching between the quality control samples and the actual mine ore matrix, while keeping the preparation cost controllable. The quality control sample proportion design is scientific, with good homogeneity and precise gradient settings. At the same time, the quality control samples have excellent long-term stability, which can fully meet the precise quality control requirements for gold and silver content analysis of gold ore. Furthermore, the gold ore quality control samples can meet the needs of laboratory method validation, instrument calibration, daily quality control, personnel comparison, proficiency testing, and quality control chart generation. They can also be used to evaluate the repeatability, precision, and reproducibility of measurement results.

The invention discloses an intelligent analysis method, system, equipment and medium for fire coal test data of a thermal power plant, and relates to the technical field of fire coal quality intelligent monitoring and control, and the intelligent analysis method comprises the following steps: collecting test data of a fire coal retest sample, executing nonparametric rank correlation analysis on non-normal distribution data, quantifying negative correlation intensity of a calorific value difference and retest interval time, and analyzing the heat value difference and the retest interval time. The method comprises the following steps: constructing a time-dependent model of calorific value attenuation based on negative correlation intensity by associating coal oxidation sensitivity parameters, predicting calorific value variation by utilizing linear regression, comparing calorific value-time quality control charts of a standard coal sample and a to-be-detected coal sample, and dynamically correcting a prediction equation coefficient. According to the method, the limitation of coal heat value static prediction is broken through, the three technical bottlenecks that coal oxidation difference is not quantified, model correction lags behind and manual decision is extensive are solved, and a core support is provided for fine management of fuel of a thermal power plant.

This invention discloses a method and system for quality control in the processing of automotive parts, relating to the field of parts processing technology. The method includes: calculating boundary distances for aligned sampling data packets to generate geometric deviation margin sequences and strain safety margin sequences, and performing one-to-one correspondence and polyline connections to generate a joint quality control chart package. The joint quality control chart package is then calculated and compared to generate out-of-limit confirmation records, candidate translational offsets, and candidate rotational offsets, which are then integrated to generate a deviation identification package. Based on a unified evidence list, geometric estimation records are generated using candidate rotational offsets and candidate translational offsets, and integrated with strain estimation records generated from the strain safety margin sequence to generate a batch quality report. This invention, by generating a deviation identification package, achieves accurate identification and quantitative characterization of systematic deviations during processing, improving the accuracy of quality control.