A self-adaptive adjustment method for process industry operation mode based on working conditions

Abstract

The invention provides a method for adaptively adjusting operation modes of a process industry on the basis of working conditions, and belongs to the field of information processing. The method includes preprocessing complex industrial field data, and combining the complex industrial field data with technical analysis to select a plurality of variables so as to describe the working conditions; building operation index prediction models to predict indexes, and comparing prediction results to actual measurement results and judging deviation of the prediction results and the actual measurement results; setting threshold values to judge whether production is in a normal state or not, and adaptively adjusting parameters if the production is in an abnormal state; combining samples which generate misjudgment results with an improved support vector machine process to secondarily predict the indexes, secondarily matching prediction results with an operation mode library, searching the optimal operation modes to optimize operation and continuously adjusting and updating matching of the operation modes along with continuous change of the working conditions so as to support operation optimization. The method has the advantages that the parameters can be dynamically and adaptively adjusted on the basis of the working conditions, so that the operation modes can be matched, and the mode matching accuracy and the mode optimization accuracy can be improved.

Description

technical field [0001] The invention relates to an operation mode self-adaptive adjustment method, in particular to a process industry operation mode self-adaptive adjustment method based on working conditions, which belongs to the field of information processing. Background technique [0002] After years of informatization construction in the process industry, the main production process has achieved automatic control at different levels, as well as real-time monitoring of the production process. At present, most of the industrial control is based on the mechanism model and related feedback for real-time control, but the production process of the process industry involves a variety of chemical changes and physical changes, the production process is complex, and the production process of the process industry is continuous. The high requirements make it difficult to model the production process and optimize the operating parameters. Establishing a more efficient operation mo...

AI Technical Summary

Problems solved by technology

However, due to the complex and changeable working conditions of the production site, the algorithms and parameters involved in the operation mode matching process are not self-adaptive, which makes it difficult to match the operation mode reflecting the dynamic information of the industrial process with the optimal operation mode set, which is suitable for steady-state Or a specific working condition, the matching and optimization of the operation mode are less practical

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