Propylene polymerization production process fuzzy optimal prediction system and method

A technology for forecasting systems and production processes, applied in manufacturing computing systems, biological neural network models, forecasting, etc., can solve problems such as low measurement accuracy, fuzzy optimal forecasting systems, and susceptibility to human factors

Inactive Publication Date: 2014-05-28
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 Fuzzy Optimal Forecasting System and Method for Propylene Polymerization Production Process with Strong Capability and High Precision

Method used

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  • Propylene polymerization production process fuzzy optimal prediction system and method
  • Propylene polymerization production process fuzzy optimal prediction system and method
  • Propylene polymerization production process fuzzy optimal prediction system and method

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Embodiment 1

[0049] 1. Reference figure 1 , figure 2 and image 3 , a fuzzy optimal forecast system for propylene polymerization production process, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easily measurable variables, control station 3 for measuring operating variables, DCS database for storing data 4, fuzzy Optimum forecasting system 5 and melt index forecast value display instrument 6, the on-site intelligent instrument 2 and the control station 3 are connected to the propylene polymerization production process 1, the on-site intelligent instrument 2 and the control station 3 are connected to the DCS database 4, and the The DCS database 4 is connected to the input end of the fuzzy optimal forecast system 5, and the output end of the fuzzy optimal forecast system 5 is connected to the melt index forecast value display instrument 6, and it is characterized in that: the fuzzy optimal forecast system includes:

[0050] (1) Th...

Embodiment 2

[0089] 1. Reference figure 1 , figure 2 and image 3 A method for fuzzy optimal forecasting of a propylene polymerization production process comprises the following steps:

[0090] (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;

[0091] (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;

[0092] (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 principal components are obtained by C=MU,...

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Abstract

The invention discloses a propylene polymerization production process fuzzy optimal prediction system which comprises a propylene polymerization production process, a field intelligent instrument, a control station, a DCS database which stores data, a fuzzy optimal prediction system and a melt index prediction value display instrument. The field intelligent instrument and the control station are connected with the propylene polymerization production process, and are connected with the DCS database. The optimal prediction system is connected with the DCS database and the prediction value display instrument. The fuzzy optimal prediction system comprises a model updating module, a data preprocessing module, a PCA principal component analysis module, a neural network model module and a fuzzy optimization module. The invention further provides a prediction method which is realized by using the prediction system. According to the invention, online measurement and online parameter optimization are realized, and the method and the system have the advantages of quick prediction, automatic model update, strong anti-interference ability and high precision.

Description

technical field [0001] The invention relates to an optimal forecast system and method, in particular to a fuzzy optimal forecast system and method for 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. It ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/04G06N3/02
CPCY02P90/30
Inventor 刘兴高李九宝
Owner ZHEJIANG UNIV
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