Soft sensor modeling method of correlation vector machine based on dynamic weighting of triangle angle value

Abstract

The invention discloses a relevance vector machine soft measurement modeling method based on triangular angle value dynamic weighting in the field of product quality control in industrial production. Based on relevance vector machine modeling, a time delay unit is added at an input end of a model, meanwhile, an algorithm based on triangular angle value dynamic weighting is proposed, dynamic information of an actual industrial process is fused into a soft measurement model by proportional allocation of dynamic weights, the dynamic weights are reasonably allocated, and weighting fusion is carried out, so that a modeling process of the soft measurement model is further approached to the actual industrial production process and can be suitable for dynamic variations and requirements of the industrial field production process better; and by converting dynamic time modeling into static spatial modeling, not only is complexity of the soft measurement model not increased, but also prediction accuracy of the model is improved, and finally, dynamic soft measurement of the industrial production process is implemented.

Description

technical field [0001] The invention relates to the field of product quality control in industrial production, in particular to a soft sensor modeling technology for on-line dynamic measurement and control of key state variables in the production process. Background technique [0002] In industrial production sites, in order to maximize product output and achieve good real-time control of product quality, it is very necessary to perform real-time measurement of key state variables that are closely related to target product output and quality. In the actual production process, some key process variables that need to be measured in time and strictly controlled are often difficult to directly realize online measurement or online measurement. For example, the key biological parameters in the biological fermentation tank, the product components in the distillation tower in the petrochemical production process, and the key state variables affecting the biological products in the s...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems existing in the real-time measurement of some key state variables in the industrial production process, and to overcome the existing correlation vector machine soft-sensing method, which has insufficient measurement accuracy, has a certain measurement delay, and cannot reflect the industrial state in real time. To deal with the dynamic characteristics of the production process, a soft sensor modeling method based on the dynamic weighting of triangle angle values ​​is proposed.

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