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Method of soft measuring fusion index of producing propylene through polymerization in industrialization

A technology of industrial production and melting index, applied in the direction of electrical digital data processing, biological neural network model, special data processing application, etc., to achieve the effects of shortening the transition time, improving economic benefits, and increasing output

Inactive Publication Date: 2007-02-21
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the parameters of the model have a critical impact on the performance of the model, but they can only be selected empirically.

Method used

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  • Method of soft measuring fusion index of producing propylene through polymerization in industrialization
  • Method of soft measuring fusion index of producing propylene through polymerization in industrialization
  • Method of soft measuring fusion index of producing propylene through polymerization in industrialization

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Embodiment Construction

[0012] The present invention will be described in detail below, and the purpose and effect of the present invention will be more apparent.

[0013] 1) Collect data from the DCS of the propylene polymerization production process, and perform standardized processing, so that the mean value of each variable is 0, and the variance is 1, and the input matrix X and the output matrix Y are obtained.

[0014] Calculate the mean: TX ‾ = 1 N Σ i = 1 N T X i , TY ‾ = 1 N Σ i = 1 N TY . . . ( 1 ) ...

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Abstract

A soft measurement method of industrial production melt index on PP polymerization includes selecting nine variables influencing variation of melt index as input variables of soft measurement mode, using master element analysis to pick up main composition from input variables for eliminating off relativity between variables, applying radial based function neuro-network to set up nonlinear model between input and output as well as simultaneously utilizing fuzzy genetic algorithm to carry out optimum selection on model parameter.

Description

technical field [0001] The invention relates to the field of melt index soft measurement in the field of chemical process control, in particular to a method for soft measurement of melt index in inner dilute polymerization industrial production. Background technique [0002] Polyene is a synthetic resin mainly polymerized from propylene monomer, and it is an important product in the plastics industry. Among the polyolefin resins in my country, it has become the third largest plastic after polyethylene and polyvinyl chloride. In the production process of polypropylene, melt index (MI) is an important index reflecting product quality. However, MI can only be detected offline, which is costly and time-consuming, resulting in a large lag in the control of MI. Therefore, establishing a soft sensor model that reflects MI in real time and applying it in the production process is beneficial to smooth operation and improvement of product quality. And on this basis, optimizing the ...

Claims

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Application Information

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IPC IPC(8): G05B17/02G05B13/02G01N25/04G06F17/00G06F19/00G06N3/02G06N3/12
Inventor 刘兴高阎正兵
Owner ZHEJIANG UNIV
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