Cpk-based oil refining and chemical engineering device control stability test method

Abstract

The invention discloses a Cpk-based oil refining and chemical engineering device control stability test method, which comprises the following steps of: firstly, determining several key operation indexes of a technological process, and setting n teams or time periods for technological operation; randomly extracting operation data of different teams or time periods, wherein at least 25 pieces of operation data are extracted from each key operation index; and respectively recording operation data of the key control indexes, respectively calculating Cpk values of different key indexes and different teams according to a calculation formula of the process capability index Cpk, and comparing according to the corresponding Cpk values, so that the larger the Cpk values are, the better the Cpk values are. According to the method, human factors during process data quality judgment are eliminated, so that the judgment result has higher fairness and objectivity. According to the method, the dispersion degree and the index deviation condition of the operation data can be reflected at the same time, the possibility that the process data deviates from the index can be reflected, and the history which is difficult to quantify when the fluctuation size of the process data in the oil refining and chemical production process is described is ended.

Description

technical field [0001] The invention relates to the field of oil refining and chemical process control, in particular to a Cpk-based test method for the stability of oil refining and chemical production control parameters, so as to quantify the operation stability of oil refining and chemical equipment. Background technique [0002] The stability of operating parameters is an important indicator for judging the operation of refining and chemical production processes. However, there are no good methods and means for the stationarity test, and it is impossible to quantify the quality of the stationarity. In the actual application of enterprise engineering, it is necessary to observe the fluctuation of the operating data curve to judge whether there is a large deviation in the operating parameters of the production process. If there is no deviation, it is impossible to make a clear judgment on the smoothness of the operation. The curve can only be analyzed by subjective feeling...

AI Technical Summary

Problems solved by technology

However, there are no good methods and means for the test of stationarity, and it is impossible to quantify whether the stationarity is good or bad.

In the actual application of enterprise engineering, it is necessary to observe the fluctuation of the operating data curve to judge whether there is a large deviation in the operating parameters of the production process. If there is no deviation, it is impossible to make a clear judgment on the smoothness of the operation. The curve can only be analyzed by subjective feeling. Different personnel check There will be different results, there are larger defects

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