An optimal soft measurement instrument for a propylene polymerization production process of a convolutional neural network
A convolutional neural network and optimal soft-sensing technology, applied in biological neural network models, neural architectures, neural learning methods, etc., can solve problems such as low measurement accuracy and being easily affected by human factors
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[0058] refer to figure 1 , figure 2 , a convolutional neural network optimal soft-sensing instrument for propylene polymerization production process, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easy-to-measure variables, control station 3 for measuring operating variables, and data storage DCS database 4 and melt index soft measurement value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected to the propylene polymerization production process 1, the on-site intelligent instrument 2, the control station 3 are connected to the DCS database 4, the soft The measuring instrument also includes the optimal soft sensor model 5 based on the improved gravity search algorithm to optimize the convolutional neural network, the DCS database 4 and the input end of the optimal soft sensor model 5 based on the improved gravity search algorithm to optimize the convolutional neural network C...
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