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Polypropylene melting index softsensoring instrument based on blind signal analysis and method thereof

A technology of blind source signal and melt index, which is applied in the direction of instruments, electrical digital data processing, special data processing applications, etc., can solve the problems of unable to detect the production process in real time, only offline measurement, slow calculation speed, etc.

Inactive Publication Date: 2007-08-15
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In order to overcome the shortcomings of the existing polypropylene melt index measuring instrument, which can only measure offline, have slow calculation speed, and cannot detect whether the production process is normal in real time, the present invention provides an instrument capable of online measurement, fast calculation speed, and real-time detection of the production process. Polypropylene melt index soft measuring instrument and method based on blind source signal analysis

Method used

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  • Polypropylene melting index softsensoring instrument based on blind signal analysis and method thereof
  • Polypropylene melting index softsensoring instrument based on blind signal analysis and method thereof
  • Polypropylene melting index softsensoring instrument based on blind signal analysis and method thereof

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Embodiment 1

[0064] Referring to Fig. 1, Fig. 2 and Fig. 3, a polypropylene melt index soft measuring instrument based on blind source signal analysis includes an on-site intelligent instrument 2 connected to a polypropylene production process object 1, and a data storage device for storing historical data 5 and the upper computer 6, the smart meter 1, the data storage device 5 and the upper computer 5 are connected in sequence, and the upper computer 6 is a soft sensor intelligent processor, and the soft sensor intelligent processor includes:

[0065] The standardization processing module 7 is used to standardize the data collected in the database when the system is normal. The mean value of each variable is 0 and the variance is 1 to obtain the input matrix X. The following process is used to complete:

[0066] 1) Calculate the mean: TX ‾ = 1 N Σ i = ...

Embodiment 2

[0117] With reference to Fig. 1, Fig. 2 and Fig. 3, a kind of polypropylene melt index soft sensing method based on blind source signal analysis, described soft sensing method comprises the following steps:

[0118] (1), determine the used key variable of soft sensor, collect the data of described variable when system is normal from history database as training sample TX;

[0119] (2), setting the extraction blind source signal number of blind source signal analysis module, the nuclear parameter of support vector machine modeling module, and setting sampling cycle;

[0120] (3) In the soft sensor intelligent processor, the training sample TX standardizes the data so that the mean value of each variable is 0 and the variance is 1, and the input matrix X is obtained, which is completed by the following process, and its formula is (1) , (2), (3):

[0121] 3.1) Calculate the mean: TX ‾ = 1 N ...

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Abstract

This invention relate to one Poly Propylene melt index flexible measurement meter based on blind source signals, which comprises poly propylene process subject connection spot intelligent meter, data memory device and upper machine to store historical data, intelligent meter, data memory device and upper machine, wherein, the upper machine is for flexible intelligent processor composed of standard process module, blind source signal analysis module, supportive vector machine establish module, signal collection module and flexible module. This invention provides one flexible measure method.

Description

(1) Technical field [0001] The invention relates to the field of industrial process soft measurement, in particular to a polypropylene melt index soft measurement instrument and method based on blind source signal analysis. (2) Background technology [0002] Polypropylene is a synthetic resin mainly polymerized from propylene monomer, and is an important product in the plastics industry. Among the polyolefin resins in my country, it has become the third largest plastic after polyethylene and polyvinyl chloride. In the production process of polypropylene, melt index (MI) is an important index reflecting product quality. However, MI can only be detected offline, which is costly and time-consuming, and cannot keep abreast of the status of the polypropylene production process. Therefore, selecting an easily measurable variable closely related to the melt index as a secondary variable, from which to analyze the melt index and detect whether the production process is normal has ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/048G05B19/418G05B13/02G06F17/00G01N25/04
CPCY02P90/02
Inventor 刘兴高
Owner ZHEJIANG UNIV
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