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Optimum soft measuring instrument based on EGA-optimized polymerization of propylene production process and method

An optimal soft measurement and production process technology, applied in neural learning methods, electrical program control, biological neural network models, etc., can solve problems such as influence, low measurement accuracy, and vulnerability to human factors.

Inactive Publication Date: 2010-09-01
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing propylene polymerization production process that the measurement accuracy is not high and is easily affected by human factors, the present invention provides an online measurement, automatic optimization of online parameters, fast calculation speed, automatic model update, strong anti-interference ability, High-precision EGA-optimized soft-sensing instrument and method for optimal melting index of propylene polymerization production process

Method used

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  • Optimum soft measuring instrument based on EGA-optimized polymerization of propylene production process and method
  • Optimum soft measuring instrument based on EGA-optimized polymerization of propylene production process and method
  • Optimum soft measuring instrument based on EGA-optimized polymerization of propylene production process and method

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Embodiment 1

[0104] refer to figure 1 , figure 2 and image 3 , an optimal soft measuring instrument for propylene polymerization production process based on EGA optimization, 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 for storing data The database 4 and the melt index soft measurement value display instrument 6, the on-site intelligent instrument 2 and the control station 3 are connected to the propylene polymerization production process 1, the on-site intelligent instrument 2 and the control station 3 are connected to the DCS database 4, and the soft measurement The instrument also includes an EGA optimized optimal soft sensor model 5, the DCS database 4 is connected to the input of the EGA optimized optimal soft sensor model 5, and the output of the EGA optimized optimal soft sensor model 5 is The end is connected with the melt index sof...

Embodiment 2

[0202] refer to figure 1 , figure 2 and image 3 , an optimal soft-sensing method for the production process of propylene polymerization based on EGA optimization, the soft-sensing method mainly includes the following steps:

[0203] 1), for the propylene polymerization production process object, according to the process analysis and operation analysis, select the operational variables and easily measurable variables as the input of the model, and the operational variables and easily measurable variables are obtained from the DCS database;

[0204] 2) Preprocess the sample data, center the input variables, that is, subtract the average value of the variables; then pre-whiten the input variables, that is, decorrelate the variables, and apply a linear transformation to the input variables;

[0205] 3) Perform independent component analysis on the preprocessed data, including:

[0206] (3.1) Select a random initial weight B;

[0207] (3.2) Iteratively update B, B + =E{xg(B ...

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Abstract

The invention relates to an optimal soft measurement instrument based on EGA optimization of a propylene polymerization production process, which comprises the propylene polymerization production process, an on-site intelligent instrument, a control station, a DCS database for storing data, an optimal soft measurement model based on EGA optimization and a melt index soft measurement value indicator; the on-site intelligent instrument and the control station are connected with the propylene polymerization production process and the DCS database; and the optimal soft measurement model is connected with the DCS database and the soft measurement value indicator. The optimal soft measurement model based on EGA optimization comprises a data preprocessing module, an ICA independent component analyzing module, a BP neural network modeling module and an EGA optimizing module. The invention also provides a soft measurement method realized by the soft measurement instrument. The soft measurementinstrument and the soft measurement method realize online measurement, automatic online parameter optimization, high calculation speed, automatic updating of the model, strong anti-interference capability and high precision.

Description

technical field [0001] The invention relates to an optimal soft measuring instrument and a method, in particular to an optimal soft measuring instrument and a method for the production process of propylene polymerization based on EGA optimization. Background technique [0002] Polypropylene is a thermoplastic resin produced by propylene polymerization. The most important downstream product of propylene, 50% of the world's propylene and 65% of my country's propylene are used to make polypropylene. It is one of the five general-purpose plastics. Daily life is closely related. Polypropylene is the fastest growing general-purpose thermoplastic resin in the world, second only to polyethylene and polyvinyl chloride in total. In order to make my country's polypropylene products have market competitiveness, develop impact copolymer products, random copolymer products, BOPP and CPP film materials, fibers, and non-woven fabrics with good balance of rigidity, toughness, and fluidity, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418G06N3/04G06N3/08
CPCY02P90/02
Inventor 刘兴高楼巍
Owner ZHEJIANG UNIV
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