Supporting-vector-machine-based industrial melt index soft measuring meter and method

A technology of support vector machine and melting index, applied in the field of soft sensor instrument, can solve problems such as fuzzy neural network structure

Inactive Publication Date: 2014-03-26
ZHEJIANG UNIV
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But at the same time, the determination of the fuzzy neural network structure also encountered the same problems as the neural network. The structural parameters need to be manually determined by the operator relying on their own operating experience.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Supporting-vector-machine-based industrial melt index soft measuring meter and method
  • Supporting-vector-machine-based industrial melt index soft measuring meter and method
  • Supporting-vector-machine-based industrial melt index soft measuring meter and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0098] refer to figure 1 , figure 2 , a soft measuring instrument for propylene polymerization production process based on adaptive fuzzy neural network and support vector machine, including propylene polymerization production process 1, on-site intelligent instrument 2 for measuring easy-to-measure variables, and control station 3 for measuring operating variables , the DCS database 4 for storing data and the melt index soft measurement value display instrument 6, the on-site intelligent instrument 2 and the control station 3 are connected to the propylene polymerization production process 1, and the on-site intelligent instrument 2 and the control station 3 are connected to the DCS database 4 , the soft sensor instrument also includes the industrial melt index soft sensor model 5 of the support vector machine, the DCS database 4 is connected with the input end of the industrial melt index soft sensor model 5 of the support vector machine, the support vector machine The out...

Embodiment 2

[0187] refer to figure 1 , figure 2 , a soft sensor method for propylene polymerization production process based on support vector machine optimization fuzzy neural network, the specific implementation steps of the soft sensor method are as follows:

[0188] 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;

[0189] 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:

[0190] Calculate the mean: TX ‾ = 1 N Σ i ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a supporting-vector-machine-based industrial melt index soft measuring meter and a method. By performing the optimal optimizing on parameters of a fuzzy neural network through the supporting vector machine, the problems of parameter set of the existing fuzzy neural network are solved, and meanwhile, due to the adoption of the method, the structure of the whole fuzzy neural network is subjected to self-adaption updating so as to adapt the change of input data. According to the invention, an on-site intelligent meter and a control station are connected with a DCS (distributed control system) database; a soft measurement value display device comprises a supporting-vector-machine-based industrial melt index soft measuring model; the DCS database is connected with the input end of the soft measuring model; and the output end of the supporting-vector-machine-based industrial melt index soft measuring model is connected with the melt index soft measurement value display device; the measuring meter and the method disclosed by the invention have the characteristics of self-adoption optimized model structure, high noise resisting property and preferable popularization property.

Description

technical field [0001] The invention relates to a soft measuring instrument and method, in particular to an industrial melting index soft measuring instrument and method of a support vector machine. 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 index...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N25/04G05B13/04
Inventor 刘兴高张明明李见会
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap