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Soft industrial melt index measurement instrument and method for optimal fuzzy network

A melting index and fuzzy network technology, applied in the field of soft measuring instruments, can solve problems such as low measurement accuracy, low noise sensitivity, and poor promotion performance

Inactive Publication Date: 2014-03-26
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to overcome the shortcomings of the existing propylene polymerization production process, such as low measurement accuracy, low sensitivity to noise, and poor generalization performance, the present invention provides an online measurement, fast calculation speed, automatic model update, strong anti-noise ability, and good generalization performance. Good optimal fuzzy network industrial melt index soft sensor instrument and method

Method used

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  • Soft industrial melt index measurement instrument and method for optimal fuzzy network
  • Soft industrial melt index measurement instrument and method for optimal fuzzy network
  • Soft industrial melt index measurement instrument and method for optimal fuzzy network

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Effect test

Embodiment 1

[0076] refer to figure 1 , figure 2 , a soft measuring instrument for propylene polymerization production process based on support vector machine optimized fuzzy neural network, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easy-to-measure variables, control station 3 for measuring operating variables, storage The DCS database 4 of data and the 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, and the The soft sensor instrument also includes a support vector machine optimized soft sensor model 5 of the fuzzy neural network, the DCS database 4 is connected to the input end of the industrial melt index soft sensor model 5 of the optimal fuzzy network, and the optimal fuzzy network The output e...

Embodiment 2

[0143] refer to figure 1 , figure 2 , an industrial melting index soft sensor method of an optimal fuzzy network, the specific implementation steps of the soft sensor method are as follows:

[0144] 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;

[0145] 2) It is used to preprocess the model training samples input from the DCS database, so that the mean value of the training samples is 0 and the variance is 1. The following calculation process is used to complete the processing:

[0146] Calculate the mean: TX ‾ = 1 N Σ i = 1 N ...

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Abstract

The invention discloses a soft industrial melt index measurement instrument and method for an optimal fuzzy network. According to the method, a previous fuzzy neural network is optimized by introducing a support vector machine so that the problem that parameters are difficult to set in the construction process of the fuzzy neural network is solved. According to the soft industrial melt index measurement instrument and method for the optimal fuzzy network, a field intelligent instrument and a control station are connected with a DCS (Data Communication System) database; a soft measurement value displayer comprises a soft industrial melt index measurement model for the optimal fuzzy network; the DCS database is connected with the input end of the soft measurement model; the output end of the soft industrial melt index measurement model for the optimal fuzzy network is connected with the soft melt index measurement value displayer. Finally, the soft industrial melt index measurement instrument and method for the optimal fuzzy network and the soft measurement have the characteristics of on-line measurement, high calculation speed, strong noise immunity and good popularization performance.

Description

technical field [0001] The invention relates to a soft measuring instrument and a method, in particular to an industrial melting index soft measuring instrument and a method of an optimal fuzzy network. Background technique [0002] Polypropylene is a semi-crystalline thermoplastic polymerized from propylene. It has high impact resistance, strong mechanical properties, and resistance to various organic solvents and acid and alkali corrosion. It is widely used in the industry and is common. One of the most common polymer materials. Melt index (MI) is one of the important quality indicators to determine the grade of the final product in the production of polypropylene, which determines the different uses of the product. Accurate and timely measurement of melt index plays a very important and guiding role in production and scientific research. However, the on-line analysis and measurement of melt index is still difficult to achieve, and the lack of on-line analyzer for melt i...

Claims

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Application Information

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IPC IPC(8): G01N25/04G05B13/04
Inventor 刘兴高张明明李见会
Owner ZHEJIANG UNIV
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