Optimal online forecasting system for propylene polymerization production process based on weighted combination learning

A technology of propylene polymerization and weighted combination, which is applied in the field of optimal online forecasting system of propylene polymerization production process, can solve the problems of low measurement accuracy and easy to be affected by human factors, and achieve strong anti-interference ability, fast forecasting speed and high accuracy high effect

Inactive Publication Date: 2021-04-06
ZHEJIANG UNIV
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Problems solved by technology

[0005] In order to overcome the shortcomings of the current existing propylene polymerization production process, which are not high in measurement accuracy and easily affected by human factors, the purpose of the present invention is to provide an online measurement with fast forecasting speed, automatic model update, strong anti-interference ability, and high accuracy. Gao Optimal online prediction system for melt index in propylene polymerization production process based on weighted combination learning

Method used

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  • Optimal online forecasting system for propylene polymerization production process based on weighted combination learning
  • Optimal online forecasting system for propylene polymerization production process based on weighted combination learning

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Embodiment

[0030] refer to figure 1, an optimal online forecasting system for propylene polymerization production process based on weighted combination learning, including propylene polymerization production process 1, on-site smart instrument 2 for measuring easy-to-measure variables, control station 3 for measuring operating variables, and data storage DCS database 4, optimal online forecast system 5 based on weighted combination learning and melt index forecast value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected with the propylene polymerization production process 1, the on-site intelligent instrument 2, the control station The station 3 is connected to the DCS database 4, the DCS database 4 described by Swarm Intelligence is connected to the input end of the optimal online forecast system 5 based on weighted combination learning, and the output end of the optimal online forecast system 5 based on weighted combination learning is connec...

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Abstract

The invention discloses an optimal online forecast system for propylene polymerization production process based on weighted combination learning, which is used for quality inspection of polypropylene production products. The optimal online forecast model based on weighted combination learning includes phase space reconstruction , PCA principal component analysis module, support vector machine module, model update module, cuckoo search algorithm optimization module, Adaboost module. The invention predicts the melting index of an important quality index in the polypropylene production process on-line, overcomes the shortcomings of traditional chemical instruments, such as large measurement time lag and low measurement accuracy, and realizes on-line measurement, strong optimization and promotion ability, strong anti-noise interference ability, and high precision.

Description

technical field [0001] The invention relates to the field of quality detection of the polymerization process and the field of data-driven modeling, in particular to an optimal online forecast system for the propylene polymerization production process based on weighted combination learning. 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. are closely related to daily life. 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 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418G06N3/00G06N20/10
CPCG05B19/41875G05B2219/32015G06N3/006Y02P90/02
Inventor 张泽银许杵刘兴高
Owner ZHEJIANG UNIV
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