Industrial melt index soft measurement method through combination of fuzzy neural network and group intelligent optimization

A fuzzy neural network and melt index technology, applied in the field of soft measurement, can solve the problems of low measurement accuracy, weak anti-interference ability, and poor promotion performance.

Inactive Publication Date: 2019-03-22
ZHEJIANG UNIV
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Problems solved by technology

[0006] In order to overcome the deficiencies of the existing melt index online prediction system in the propylene polymerization production process, such as unstable working state, low measurement accuracy, weak anti-interference ability, and poor promotion performance, the purpose of ...

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  • Industrial melt index soft measurement method through combination of fuzzy neural network and group intelligent optimization
  • Industrial melt index soft measurement method through combination of fuzzy neural network and group intelligent optimization
  • Industrial melt index soft measurement method through combination of fuzzy neural network and group intelligent optimization

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Embodiment Construction

[0073] The present invention will be described in detail below according to the accompanying drawings.

[0074] refer to figure 1 , a soft-sensing method for propylene polymerization production process based on fuzzy neural network combined with swarm intelligence optimization, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easily measurable variables, control station 3 for measuring operating variables, The DCS database 4 for storing data and the display instrument 6 for the soft measurement value of the melting index. The soft sensor instrument includes an industrial melt index soft sensor algorithm combined with fuzzy neural network and group intelligent optimization, and the input end of the industrial melt index soft sensor model combined with group intelligent search is connected to the output end of the DCS database , the output terminals of the fuzzy neural network and the soft sensor model are connected with th...

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Abstract

The invention discloses an industrial melt index soft measurement method through combination of a fuzzy neural network and group intelligent optimization. The method is applied to online prediction for an industrial melt index in the propylene polymerization production process. A data preprocessing module, a fuzzy neural network module, a dragonfly optimizing algorithm module, a sliding window module and a fuzzy rule optimization module are involved. According to a sliding window method, input of the fuzzy neural network every moment is provided, by using an improved dragonfly optimizing algorithm, a fuzzy neural network parameter is intelligently optimized, and the setting problem of the fuzzy neural network parameter in the prior art is solved. According to the method, global and local information in the optimizing process is considered at the same time, a network parameter can be stably and online corrected, and the adaptivity of the system to input data fluctuation is improved. Themethod has the advantages of stable optimized model structure, good generalization performance and high anti-interference capacity.

Description

technical field [0001] The invention relates to a soft measurement method, in particular to an industrial melting index soft measurement method based on fuzzy neural network and group intelligence optimization. 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 fo...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 张泽银吕以豪刘兴高
Owner ZHEJIANG UNIV
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