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Propylene polymerization production process online forecasting system and method based on group intelligent optimization

A technology for forecasting systems and production processes, applied in electrical program control, biological neural network models, comprehensive factory control, etc., can solve problems such as low measurement accuracy and easy to be affected by human factors, so as to simplify input variables and improve the model performance, efficiency-enhancing effects

Inactive Publication Date: 2014-07-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 The system and method for optimal online prediction of melt index in the production process of propylene polymerization based on crowd intelligence optimization with strong capability and high precision

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  • Propylene polymerization production process online forecasting system and method based on group intelligent optimization
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  • Propylene polymerization production process online forecasting system and method based on group intelligent optimization

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Embodiment 1

[0048] 1. refer to figure 1 , figure 2 and image 3 , an optimal online forecasting system for propylene polymerization production process based on crowd intelligence optimization, including propylene polymerization production process 1, on-site intelligent instrument for measuring easily measurable variables 2, control station for measuring operating variables 3, storing data The DCS database 4, the optimal online forecast system 5 based on crowd intelligence optimization and the melt index forecast value display instrument 6, the on-site intelligent instrument 2, the control station 3 are connected with the propylene polymerization production process 1, and the on-site intelligent instrument 2 , the control station 3 is connected with the DCS database 4, and the DCS database 4 of the crowd intelligence is connected with the input end of the optimal online forecasting system 5 based on the crowd intelligence optimization, and the optimal online forecast system 5 based on t...

Embodiment 2

[0087] 1. refer to figure 1 , figure 2 and image 3 , a method for optimal forecasting of propylene polymerization production process based on crowd intelligence optimization includes the following steps:

[0088] (1) For the propylene polymerization production process object, according to the process analysis and operation analysis, the operational variables and easily measurable variables are selected as the input of the model, and the operational variables and easily measurable variables are obtained from the DCS database;

[0089] (2) Preprocess the sample data, center the input variables, that is, subtract the average value of the variables; and then perform normalization processing, that is, divide by the change interval of the variable value;

[0090] (3) The PCA principal component analysis module is used to pre-whiten the input variables and de-correlate the variables. It is realized by applying a linear transformation to the input variables, that is, the principa...

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Abstract

The invention discloses a propylene polymerization production process optimal online forecasting system based on group intelligent optimization. The system includes a propylene polymerization production process, an on-site intelligent instrument, a control station, a DCS database for data storage, an optimal online forecasting system based on group intelligent optimization and a melt index forecasting value display instrument. The on-site intelligent instrument and the control station are connected with the propylene polymerization production process and 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 group intelligent optimization includes a model updating module, a data preprocessing module, a PCA principle component analysis module, a neural network model module and a group intelligent optimization module. A forecasting method which is realized through use of the online forecasting system is provided. The propylene polymerization production process online forecasting system and method based on the group intelligent optimization realizes online measurement, online parameter optimization, high forecasting speed, automatic model updating, high anti-interference capability and high precision.

Description

technical field [0001] The invention relates to an optimal online forecasting system and method, in particular to an optimal online forecasting system and method for propylene polymerization production process based on crowd intelligence optimization. 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 flu...

Claims

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Application Information

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IPC IPC(8): G05B19/418G06N3/02
CPCY02P90/02
Inventor 刘兴高赵成业李九宝周叶翔张志猛
Owner ZHEJIANG UNIV