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Melt index detection fault diagnozing system and method in propylene polymerization production

A fault diagnosis system and propylene polymerization technology, applied in the general control system, control/regulation system, electrical digital data processing, etc., can solve the problems of not being able to know the state of polypropylene in time, costing money, and time

Inactive Publication Date: 2007-08-22
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, MI can only be detected offline. Generally, offline analysis takes at least 2 hours, which is costly and time-consuming. Especially during the 2 hours of offline analysis, it will not be possible to know the status of the polypropylene production process in time.

Method used

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  • Melt index detection fault diagnozing system and method in propylene polymerization production
  • Melt index detection fault diagnozing system and method in propylene polymerization production
  • Melt index detection fault diagnozing system and method in propylene polymerization production

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Effect test

Embodiment 1

[0065] Referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, a fault diagnosis system for melt index detection in propylene polymerization production, including on-site intelligent instrument 2, DCS system and host computer 6 connected with the propylene polymerization production process, Described DCS system is made up of data interface 3, control station 4, database 5; Smart instrument 2, DCS system, host computer 6 are connected successively by field bus, and described host computer 6 comprises:

[0066] The standardization processing module 7 is used to standardize the data of the key variables when the acquisition system is normal in the database. 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:

[0067] 1) Calculate the mean: TX ‾ = 1 N Σ i = ...

Embodiment 2

[0131] Referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, a fault diagnosis method for melt index detection in propylene polymerization production comprises the following steps:

[0132] (1), from the historical database of DCS database 5, gather the data of key variable when system is normal as training sample TX;

[0133] (2), in the independent component analysis module 8 of host computer, support vector machine classifier functional module 9, set independent component number, support vector machine core parameter and confidence probability parameter respectively, set the sampling cycle in DCS;

[0134] (3), the training sample TX is in the host computer, and the data is standardized, so that the mean value of each variable is 0, and the variance is 1, and the input matrix X is obtained, and the following process is used to complete:

[0135] 3.1) Calculate the mean: TX ‾ = 1 N ...

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Abstract

A fault diagnosis system of melt index detection in propylene polymerization producing process includes the scene Intelligent Instrumentation, DCS systems, and PC connected with the propylene polymerization production, and the DCS system consists of a data interface, a control station and a database. The Intelligent Instrumentation, DCS system and PC are connected with each other in order, and the PC includes a standardized processing module, independent component analysis module, support vector machine classifier function module, signal acquisition module, diagnostic data to be identified module and fault diagnosis module. It also proposes a method of fault diagnosis.

Description

(1) Technical field [0001] The invention relates to the field of industrial process fault diagnosis, in particular to a fault diagnosis system and method for detecting melt index in propylene polymerization production. (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 and an important basis for production quality control and brand switching. However, MI can only be detected offline. Generally, offline analysis takes at least 2 hours, which is costly and time-consuming. Especially during the 2 hours of offline analysis, it will not be possible to know the status of the polypropylene production process in time. Therefore, it is v...

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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