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Soft measurement method based on integrated orthogonal component optimized regression analysis

A regression analysis and optimization technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as predictive model output, and achieve the effect of soft sensor performance guarantee

Active Publication Date: 2018-09-04
NINGBO UNIV
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Problems solved by technology

However, least squares, as one of the most basic algorithmic ideas, fails to predict the model output from the perspective of optimal regression

Method used

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  • Soft measurement method based on integrated orthogonal component optimized regression analysis
  • Soft measurement method based on integrated orthogonal component optimized regression analysis
  • Soft measurement method based on integrated orthogonal component optimized regression analysis

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Embodiment Construction

[0040] The method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0041] Such as figure 1 As shown, the present invention discloses a soft sensor method based on integrated orthogonal component optimization regression analysis. The specific implementation process of the method of the present invention and its superiority over existing methods will be described below in conjunction with an example of a specific industrial process.

[0042] The application object is from Tennessee-Eastman (TE) chemical process experiment, and the prototype is an actual process flow of Eastman chemical production workshop. At present, the TE process has been widely used as a standard experimental platform for process monitoring and soft sensor research due to its complexity. The whole TE process includes 22 measured variables, 12 manipulated variables, and 19 component measured variables. In this implementation case, 33 easily measura...

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Abstract

The invention discloses a soft measurement method based on integrated orthogonal component optimized regression analysis, aiming at solving the problem that how to integrate and consider multiple types of orthogonal component regression algorithm and use the optimized idea to establish a soft measurement model. Specifically, the soft measurement method includes the steps: establishing three orthogonal component regression models by using a principal component regression (PCR) algorithm, an independent component regression (ICR) algorithm, and a partial least square regression (PLSR) algorithm;and then predicting the quality data again by using the predicted values of the regression models, wherein the difference is that the regression coefficient vector is obtained by using the particle swarm algorithm when the predicted values of the regression models are used to predict the quality data again. Compared with a traditional method, the soft measurement method based on integrated orthogonal component optimized regression analysis considers multiple orthogonal component regression models and predicts the output quality index through the optimized regression coefficient vector. Therefore, the prediction accuracy for the quality index, of the soft measurement method based on integrated orthogonal component optimized regression analysis is not less than any one regression model, andthe soft measurement performance is fully guaranteed.

Description

technical field [0001] The invention relates to an industrial soft sensing method, in particular to a soft sensing method based on integrated orthogonal component optimization regression analysis. Background technique [0002] Maintaining the stability of an enterprise's product quality is the fundamental way to improve its market competitiveness and brand effect. These key variables that can directly or indirectly reflect product quality are usually obtained using online analysis methods or offline assay analysis methods. However, on-line analytical instruments are expensive and costly to maintain; while off-line assays require a long time to measure the corresponding data, resulting in a serious lag and unable to reflect the current quality status in a timely manner. In order to obtain product quality information in real time at low cost, soft sensor technology emerges as the times require. The basic idea is to use other easily measurable process variables related to the ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F17/30
CPCG06Q10/06395
Inventor 童楚东俞海珍朱莹
Owner NINGBO UNIV
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