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

Abstract

The invention discloses an integrated-learning-based online forecast system for propylene polymerization production process optimization. The integrated-learning-based online forecast system for propylene polymerization production process optimization is used for forecasting the melt index of the propylene polymerization production process, and comprises a phase space reconstruction module, a principal component analysis (PCA) module, a support vector machine module, a model updating module, a Cuckoo search algorithm optimization module and a Gradient Boosting module. The integrated-learning-based online forecast system for propylene polymerization production process optimization forecasts the important quality index, namely the melt index of the polypropylene production process on line, overcomes the defects of large measurement time lag and low measurement precision of traditional chemical instruments, realizes online measurement and dynamic structure and parameter adjustment and optimization, and is high in promotion capability, capable of adaptively adjusting a detection system, high in noise disturbance resistance and high in precision.

Description

technical field [0001] The invention relates to an optimal online forecasting system and method, in particular to an optimal online forecasting system and method for propylene polymerization production process based on integrated 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 balance of rigidity, toughness, and fluidity, and d...

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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's integrated learning-based optimal online prediction system and method for melt index in the production process of propylene polymerization

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