Propylene polymerization production process optimal online forecasting system for convolution neural network
A convolutional neural network and production process technology, applied in the field of optimal online forecasting system, can solve the problems of being easily affected by human factors and low measurement accuracy, and achieve strong anti-interference ability, noise reduction and fast forecasting speed Effect
Inactive Publication Date: 2019-03-22
ZHEJIANG UNIV
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[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 A Convolutional Neural Network-based Optimal Online Forecasting System for Melt Index in Propylene Polymerization Production Process with Strong Capability and High Accuracy
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[0044] 1. Reference figure 1 , figure 2 , an optimal online forecasting system for propylene polymerization production process based on convolutional neural network, including propylene polymerization production process 1, on-site intelligent instrument for measuring easy-to-measure variables 2, control station for measuring operating variables 3, storing data DCS database 4, an optimal online forecasting system 5 based on a convolutional neural network, and a melt index forecast value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected to the propylene polymerization production process 1, and the on-site intelligent instrument 2 , the control station 3 is connected with the DCS database 4, the DCS database 4 is connected with the input end of the optimal online forecasting system 5 based on the convolutional neural network, and the output end of the optimal online forecasting system 5 based on the convolutional neural network Conn...
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The invention discloses a propylene polymerization production process optimal online forecasting system for a convolution neural network. The system comprises a propylene polymerization production process, an on-site intelligent meter, a control station, a DCS database storing data, an optimal online forecasting system based on the convolution neural network and a fusion index forecasting value display instrument. The on-site intelligent meter and the control station are connected with the propylene polymerization production process and connected with the DCS database; the optimal online forecasting system is connected with the DCS database and the forecasting value display instrument. The optimal online forecasting system based on the convolution neural network comprises a model updatingmodule, a data preprocessing module, a PCA main ingredient analysis module, a convolution neural network model module and a differential evolution particle swarm module. The invention further providesa forecasting method implemented through an online forecasting system. Online measuring, online parameter optimization, high forecasting speed, automatic model updating, high anti-jamming capabilityand high precision are achieved.
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 convolutional 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 polypropylen...
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Login to View More IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 张泽银黄国权刘兴高
Owner ZHEJIANG UNIV