Steady-state discrimination method for operation conditions in continuous production process

Abstract

The invention provides a steady-state discrimination method for operation conditions in a continuous production process, and the method comprises the steps: S1, obtaining principal components and corresponding feature values based on operation parameters in a production process through employing a PCA method; S2, determining a polynomial filtering window based on a continuous steady-state segment in the first principal component; S3, carrying out the steady-state detection of each principal component based on each window through employing a polynomial filtering steady-state discrimination method; S4, giving weights to the steady-state detection results of all components based on the corresponding feature values, determining a window steady-state detection result, and obtaining the steady-state discrimination result of the operation conditions in a production process according to the steady-state detection result of the window. When the adjustment of the production process is more frequent, the number of monitoring variables is large and the fluctuation is larger, the method can effectively avoid the impact on the steady-state discrimination from a single variable error or several variable errors through extracting the comprehensive information of data, and improves the adaptability in the industrial process.

Description

technical field [0001] The invention relates to the field of steady-state detection in the production process, and more specifically, to a steady-state discrimination method for operating conditions in the continuous production process. Background technique [0002] At present, with the development of automation technology and monitoring technology, a large number of equipment operating conditions and process parameters have been accumulated. The rational use of these data information is of great significance to ensure safe production and improve product quality. The internal principle and structure of the continuous production process are complex, which shows that there is a strong coupling between physical quantities, and at the same time it shows strong nonlinearity and time-varying. Steady state is the most important and common assumption in the research of continuous production process. Whether the continuous production process is in a steady state is directly related t...

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Problems solved by technology

[0004] In order to solve the problem that due to the large number of monitoring variables and strong coupling in the continuous production process, the measurement data fluctuates greatly, and at the same time, the error of a single or several variables is likely to have a great impact on the detection results. The data is difficult to realize the problem of steady-state detection of good operating conditions. The invention provides a method for distinguishing steady-state operating conditions in the continuous production process

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