Soft sensing method based on Markov random field and EM algorithm

Abstract

The invention discloses a soft sensing method of key performance index based on Markov random field and EM algorithm. The method comprises the following steps: firstly, establishing a Markov random field model according to auxiliary variables and key performance indicators, and then establishing a joint probability distribution function according to the Markov random field model, wherein, the joint probability distribution function is a joint probability distribution among auxiliary variables and / or a joint probability distribution among key performance indicators; According to the joint probability distribution function, the mean square deviation probability model is established, where the mean square deviation probability model is the relationship between the expectation of the key performance index and the target key performance index when the auxiliary variable is given, and the target key performance index is the key performance index when the mean square deviation probability model approaches zero; the auxiliary variables are inputted into the mean square deviation probability model to obtain the target key performance index, thus solving the technical problem of the prior art that the key performance index in the industrial process can not be accurately measured in real time.

Description

technical field [0001] The invention relates to the field of key performance indicators of industrial processes, in particular to a soft sensor method for key performance indicators based on Markov random field and EM algorithm. Background technique [0002] In recent years, due to the rapid development of science and technology, the scale of modern industrial processes has become larger and larger, and production equipment and production processes have become increasingly complex. The conventional, simple, and single control methods in the past can no longer meet the needs of the environment. In order to prevent the frequent occurrence of abnormal conditions, ensure the smooth operation of the industrial process, and obtain the maximum economic benefits, various optimization control and advanced control methods have been greatly developed in the field of complex industrial production. The problem is to achieve real-time accurate estimates of key performance indicators. [...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a key performance index soft-sensing method based on Markov random field and EM algorithm, to at least solve the technical problem existing in the prior art that the key performance index in the industrial process cannot be accurately measured in real time

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