Industrial melt index soft measurement method based on aftereffect function and cuckoo search

Abstract

The invention discloses an industrial melt index soft measurement method based on an aftereffect function and cuckoo search. The industrial melt index soft measurement method is used for conducting online prediction on industrial melt indexes in the propylene polymerization production process and involves a data preprocessing module, an aftereffect function module and a cuckoo search algorithm module. According to the method, the cuckoo search algorithm is utilized for optimizing parameters in the aftereffect function, and the numerical value is approximate to the optimal solution of the aftereffect function. By means of the method, the mechanism and data modeling are both considered, and the prediction result is more accurate fundamentally. Meanwhile, through the utilization of cuckoo search, the function network parameter optimization process can be further accelerated, and the practicability and generalizability of the system are improved. The system has the advantages of being highin prediction precision, stable in running, good in generalizability and high in anti-jamming capability.

Description

Technical field [0001] The invention relates to a soft measurement method, in particular to an industrial melt index soft measurement method based on aftereffect function and cuckoo search. Background technique [0002] Melt index is a numerical value representing the fluidity of plastic materials during processing. It is formulated based on the method used by DuPont to identify the characteristics of plastics. It is also called melt flow rate. Polypropylene is a thermoplastic resin obtained by polymerization of propylene. It is mainly divided into three types: isotactic polypropylene, atactic polypropylene and syndiotactic polypropylene. Strictly control the melt index of polypropylene to keep the melt index within the corresponding allowable value range, which is conducive to ensuring the good processing performance and quality of polypropylene products. However, it is still difficult to do online analysis and measurement of melt index. The lack of an online analyzer for melt ...

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Problems solved by technology

[0005] In order to overcome the deficiencies of the current existing melt index online prediction system in the propylene polymerization production process, such as slow response speed, low measurement accuracy, weak anti-interference ability, and poor promotion performance, the purpose of the present invention is to provide a method with high calculation accuracy and anti-interference ability. Strong, fast calculation speed, and good generalization performance. Industrial melt index soft sensor method based on aftereffect function and cuckoo search

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