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Industrial Melt Index Soft Sensing Instrument and Method Based on Optimal Support Vector Machine

A technology of support vector machine and melt index, which is applied in the field of soft measurement instruments, which can solve the problems of poor promotion performance, low measurement accuracy, and low noise sensitivity.

Inactive Publication Date: 2015-09-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of the existing propylene polymerization production process, such as low measurement accuracy, low sensitivity to noise, and poor generalization performance, the present invention provides an online measurement, fast calculation speed, automatic model update, strong anti-noise ability, and good generalization performance. Industrial Melt Index Soft Sensing Instrument and Method for Good Optimal Support Vector Machine

Method used

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  • Industrial Melt Index Soft Sensing Instrument and Method Based on Optimal Support Vector Machine
  • Industrial Melt Index Soft Sensing Instrument and Method Based on Optimal Support Vector Machine
  • Industrial Melt Index Soft Sensing Instrument and Method Based on Optimal Support Vector Machine

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Embodiment 1

[0095] refer to figure 1 , figure 2 , an industrial melt index soft measuring instrument with optimal support vector machine, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easy-to-measure variables, control station 3 for measuring operating variables, and DCS database for storing data 4 and a melting index soft measurement value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected to the propylene polymerization production process 1, the on-site intelligent instrument 2, the control station 3 are connected to the DCS database 4, and the soft measurement instrument Also comprises particle swarm optimization optimization weighted least squares support vector machine soft sensor model 5 of the fuzzy equation, the DCS database 4 is connected to the input end of the industrial melting index soft sensor model 5 of the optimal support vector machine, the optimal The output end of th...

Embodiment 2

[0181] refer to figure 1 , figure 2 , a soft sensor method for melting index of industrial polypropylene production based on particle swarm optimization weighted least squares support vector machine fuzzy equation model, the specific implementation method of the soft sensor method is as follows:

[0182] 1) For the propylene polymerization production process object, according to the process analysis and operation analysis, the operational variables and easily measurable variables are selected as the input of the model, and the operational variables and easily measurable variables are obtained from the DCS database;

[0183] 2) Preprocess the model training samples input from the DCS database, and centralize the training samples, that is, subtract the average value of the samples, and then standardize them so that the mean value is 0 and the variance is 1. This processing is accomplished using the following algorithmic procedure:

[0184] 2.1) Calculate the mean: ...

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Abstract

The invention discloses a soft industrial melt index measurement instrument and method of an optimal support vector machine. The soft measurement method comprises the following steps: carrying out fuzzy processing on outputs of a plurality of weighting least square support vector machines; and optimizing a whole fuzzy equation system by adopting a particle swarm optimization to obtain an optimal soft measurement result. According to the soft industrial melt index measurement instrument and method of the optimal support vector machine, a field intelligent instrument for measuring easily-measured variables and a control station for measuring operation variables are connected with a DCS (Data Communication System) database; a soft measurement value displayer comprises a soft industrial melt index measurement model of the optimal support vector machine; the DCS database is connected with the input end of the soft measurement model; the output end of the soft industrial melt index measurement model of the optimal support vector machine is connected with the soft melt index measurement value displayer; the soft industrial melt index measurement instrument and method of the optimal support vector machine have the characteristics of on-line parameter optimization, strong noise immunity and good popularization performance, and the automatic updating of the model can be realized.

Description

technical field [0001] The invention relates to a soft measuring instrument and a method, in particular to an industrial melting index soft measuring instrument and a method of an optimal support vector machine. Background technique [0002] Polypropylene is a semi-crystalline thermoplastic polymerized from propylene. It has high impact resistance, strong mechanical properties, and resistance to various organic solvents and acid and alkali corrosion. It is widely used in the industry and is common. One of the most common polymer materials. Melt index (MI) is one of the important quality indicators to determine the grade of the final product in the production of polypropylene, which determines the different uses of the product. Accurate and timely measurement of melt index plays a very important and guiding role in production and scientific research. However, the on-line analysis and measurement of melt index is still difficult to achieve, and the lack of on-line analyzer f...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N25/04G05B13/04
Inventor 刘兴高张明明李见会
Owner ZHEJIANG UNIV