BP optimal forecasting system and method for propylene polymerization production process

Abstract

The invention discloses a BP optimal forecasting system in a propylene polymerization production process. The system comprises the propylene polymerization production process, a field intelligent instrument, a control station, a DCS database for storing data, an optimal forecasting system body based on a continuous space ant colony algorithm to train a multimode BP neural network and a melt index predicated value displayer. The field intelligent instrument and the control station are connected with the propylene polymerization production process and the DCS database. The optimal forecasting system body is connected with the DCS database and the predicated value displayer. The optimal forecasting system body based on the continuous space ant colony algorithm to train the multimode BP neural network comprises a model updating module, a data preprocessing module, a PCA module, a neural network model module and a neural network multimode optimization module. The invention further provides a forecasting method achieved through the forecasting system. The system and method achieve online measurement and online parameter optimization and are high in forecasting speed, the models are updated automatically, the anti-interference capacity is strong, and precision is high.

Description

technical field [0001] The invention relates to an optimal forecasting system and method, in particular to a BP optimal forecasting system and method in the propylene polymerization production process. 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 automobiles. I...

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Problems solved by technology

[0005] In order to overcome the shortcomings of the current existing propylene polymerization production process, such as low measurement accuracy and being easily affected by human factors, the purpose of the present invention is to provide an online measurement, online parameter optimization, fast forecasting speed, automatic model update, anti-interference The system and method for optimal prediction of melting index in propylene polymerization production process based on continuous space ant colony algorithm training multi-mode BP neural network with strong ability and high precision

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