Optimal online forecasting system for propylene polymerization production process on the basis of recurrent neural network

Abstract

The invention discloses an optimal online forecasting system for a propylene polymerization production process on the basis of a recurrent neural network. The system comprises a propylene polymerization production process, a field intelligent instrument, a control station, a DCS (Distributed Control System) database for storing data, an optimal online forecasting system based on the recurrent neural network, and a melt index forecasting value display instrument, wherein the field intelligent instrument and the control station are connected with the propylene polymerization production process and the DCS database, and the optimal online forecasting system is connected with the DCS database and the forecasting value display instrument. The optimal online forecasting system on the basis of the recurrent neural network comprises a model update module, a data preprocessing module, a PCA (Principal Component Analysis) module, a recurrent neural network model module and a differential particle swarm module. The invention also provides a forecasting method realized by the online forecasting system. By use of the system and the method, online measurement, online parameter optimization, highforecasting speed, automatic update of models, high anti-jamming capability and high accuracy can be realized.

Description

technical field [0001] The invention relates to an optimal online forecast system, in particular to an optimal online forecast system for propylene polymerization production process based on cyclic neural network. 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 develop polypropylene in au...

AI Technical Summary

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 on-line measurement, on-line parameter optimization, fast forecasting speed, automatic model update, and anti-interference An optimal on-line prediction system for melt index in the production process of propylene polymerization based on cyclic neural network with strong capability and high precision

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