Production process dominant variable simplified soft measuring method achieved with help of Pearson correlation coefficient

A leading variable and correlation coefficient technology, applied in the field of soft measurement, can solve the problems of huge amount of calculation, time-consuming and labor-intensive, etc., and achieve the effect of saving manpower, material and financial resources and improving the efficiency of measurement

Inactive Publication Date: 2013-04-10
重庆科炬企业孵化器有限公司
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Problems solved by technology

Computing many auxiliary variables to realize the soft measurement of the leading variable will bring a huge amount of calculation, which is not only time-co

Method used

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  • Production process dominant variable simplified soft measuring method achieved with help of Pearson correlation coefficient
  • Production process dominant variable simplified soft measuring method achieved with help of Pearson correlation coefficient
  • Production process dominant variable simplified soft measuring method achieved with help of Pearson correlation coefficient

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Embodiment 1

[0036] Such as figure 1 , a method of streamlining and simplifying the soft measurement of leading variables in the production process by means of the Pearson correlation coefficient, which is carried out as follows:

[0037] Step 1: Determine n original auxiliary variables that may be related to the leading variable, collect the values ​​​​of n original auxiliary variables and leading variables, and form a sample set. The size of the sample set is m, and the sample size is n+1;

[0038] Each sample of the sample contains values ​​of a total of n+1 variables including one dominant variable and n original auxiliary variables.

[0039] Step 2: Use the Pearson correlation coefficient algorithm to calculate the weight values ​​of the n original auxiliary variables;

[0040] Using the Pearson correlation coefficient algorithm to calculate the weight value of any original auxiliary variable X among the n original auxiliary variables is to calculate the Pearson correlation coefficie...

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Abstract

The invention discloses a production process dominant variable simplified soft measuring method achieved with help of a Pearson correlation coefficient. The production process dominant variable simplified soft measuring method achieved with the help of the Pearson correlation coefficient is characterized by comprising the following steps: 1 determining n primary auxiliary variables which are correlative with a dominant variable, collecting value data of the n primary auxiliary variables and the dominant variable and enabling the value data of the n primary auxiliary variables and dominant variable to be combined into a sample set; 2 utilizing the Pearson correlation coefficient algorithm to respectively calculate weighted values of the n primary auxiliary variables; 3 forming a primary auxiliary variable sequence; 4 conducting modeling and determining an optimum auxiliary variable according to a minimum mean square error (MSE); and 5 obtaining a simplified soft measuring model. The production process dominant variable simplified soft measuring method can find out an auxiliary variable set with the least number of auxiliary variables to conduct modeling to the dominant variable, and therefore a simplified soft measure to the dominant variable is achieved.

Description

technical field [0001] The invention belongs to the technical field of soft measurement, and in particular relates to a method for realizing simplified soft measurement of leading variables in a production process by means of a Pearson correlation coefficient. Background technique [0002] So far, in the actual production process, there are many variables that cannot be directly measured due to technical or economic reasons. In this case, soft sensor technology emerges as the times require. Soft sensing is based on the mathematical relationship between measurable and easy-to-measure process variables (called auxiliary variables) and difficult-to-detect directly measured variables (called leading variables), according to a certain optimal criterion, using various calculation methods, using The software realizes the measurement or estimation of the measured variable. Soft sensor technology is a hot spot in current research. For example, Chinese patent (patent number: 20041001...

Claims

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Application Information

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IPC IPC(8): G01D21/00
Inventor 李太福苏盈盈姚立忠颜克胜胡文金王美丹
Owner 重庆科炬企业孵化器有限公司
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