An on-line calibration adaptive multi-scale forecasting system for propylene polymerization production process

Abstract

The invention discloses an online-corrected self-adaptive multi-scale forecasting system for the propylene polymerization production process, which is used for predicting the melt index of the propylene polymerization production process, including a data preprocessing module, a multi-scale analysis module, a forecast model module and an online correction module . The invention predicts the melt index, an important parameter index in the propylene polymerization production process, overcomes the shortcomings of the existing forecasting system, such as low measurement accuracy and weak anti-interference ability, and introduces technical means of online correction and self-adaptive multi-scale analysis, thereby obtaining The self-adaptive multi-scale forecasting system for the propylene polymerization production process with online correction, and the realized melt index forecasting system for the propylene polymerization production process can make full use of the production data of the propylene production process, complete the correction of the forecast model parameters online and adaptively, and have high forecasting accuracy , anti-interference ability and forecast efficiency.

Description

technical field [0001] The invention relates to an on-line forecasting system, in particular to an on-line correction self-adaptive multi-scale forecasting system of propylene polymerization production process. Background technique [0002] Polypropylene is a thermoplastic resin produced by the polymerization of propylene. It is one of the five general-purpose plastics and is closely related to our daily life. Polypropylene is the most important downstream product of propylene. 50% of the world's total propylene output and 65% of my country's propylene output are used in the manufacture of polypropylene. 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 our polypropylene products have market competitiveness, develop impact copolymer products, random copolymer products, BOPP and CPP film materials, fibers and non-woven materials with good rigidity, toughness and...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the existing propylene polymerization production process forecasting system, such as low forecasting accuracy and weak anti-interference ability, the purpose of the present invention is to provide an on-line self-correcting propylene polymerization production process adaptive multi-scale forecasting system, which can make full use of data Multi-scale information, self-adaptive to realize automatic online model correction, high forecasting accuracy, strong anti-interference ability, and high forecasting efficiency

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