Vacuum tower online monitoring method based on fuzzy process capacity of kernel function

Abstract

The invention provides a vacuum tower online monitoring method based on a fuzzy process capacity of a kernel function. By means of the fuzzy mathematic theory, key parametric variations are calculated based on the fuzzy process capacity of the kernel function, the whole capacity process of a vacuum tower is obtained by utilizing a hierarchical analysis fusion algorithm, and a technological state of the vacuum tower is further and effectively detected. According to the method, the problem that analysis is not accurate on industrial data by the traditional process capacity analysis can be effectively solved, and the monitoring adaptability is improved; meanwhile aiming at major parameter variations of the vacuum tower, and according to the fuzzy process capacity and the process performance analysis, the important significance is provided for the process monitoring and early warning of the industrial production.

Description

technical field [0001] The invention relates to the field of statistical process control, in particular to an on-line monitoring method for a vacuum tower based on kernel function fuzzy process capability. Background technique [0002] With the rapid development of contemporary industrial technology and information technology, large-scale product production and massive information processing capabilities have become possible. In order to meet the stability and consistency analysis in the production process, the statistical process control technology has been promoted. [0003] Process capability analysis is one of the main research contents in statistical process control, and it is the basic link to ensure the production quality of products. Process capability analysis is to make the quality of the product meet the standard requirements through monitoring and analysis in each stage of the production process. Especially in the atmospheric and vacuum distillation process of c...

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Problems solved by technology

[0004] Since the existing online monitoring methods for industrial production process monitoring have relatively high requirements for data stability, and cannot give an overall performance evaluation of the equipment

Moreover, the production data of vacuum tower distillation is volatile and the mutual influence relationship is complex. If the traditional process capability analysis method is used to monitor and analyze the process flow of vacuum tower distillation, it will be very inaccurate

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