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System and method for detecting date and diagnosing failure of propylene polymerisation production

A fault diagnosis system, propylene polymerization technology, applied in general control systems, electrical digital data processing, control/regulation systems, etc., can solve the problems of inability to measure melt index online, reduce false alarm rate, and difficult to obtain diagnostic results.

Inactive Publication Date: 2007-09-19
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the existing propylene polymerization production data detection and fault diagnosis system that the melt index cannot be measured online, it is difficult to obtain a better diagnostic effect, and the false alarm rate is high, the present invention provides a system that can realize online measurement of the melt index, can A system and method for propylene polymerization production data detection and fault diagnosis with good diagnostic effect and effective reduction of false alarm rate

Method used

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  • System and method for detecting date and diagnosing failure of propylene polymerisation production
  • System and method for detecting date and diagnosing failure of propylene polymerisation production
  • System and method for detecting date and diagnosing failure of propylene polymerisation production

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Experimental program
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Effect test

Embodiment 1

[0062] Referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, a propylene polymerization production data detection and fault diagnosis system includes an on-site intelligent instrument 2 connected to the propylene polymerization production process, a DCS system and a host computer 6, the The DCS system is composed of a data interface 3, a control station 4, and a database 5; an intelligent instrument 2, a DCS system, and a host computer 6 are connected in sequence through a field bus, and the host computer 6 includes:

[0063] 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:

[0064] 1) Calculate the mean: TX ‾ = 1 N Σ i = 1 ...

Embodiment 2

[0126] Referring to Fig. 1, Fig. 2, Fig. 3, Fig. 4 and Fig. 5, a kind of propylene polymerization production data detection and fault diagnosis method, described fault diagnosis method comprises the following steps:

[0127] (1), from the historical database of DCS database 3, collect the data of key variable when system is normal as training sample TX;

[0128] (2), in the principal component analysis module 8 and the residual error analysis module 9 of the host computer, respectively set the principal component analysis variance extraction rate, the residual error analysis confidence limit α parameter, and set the sampling period in the DCS;

[0129] (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:

[0130] 3.1) Calculate the mean: TX ‾ = ...

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Abstract

A propylene polymerization production data detection and failure diagnosis system, consists of the field intelligent instruments connected with the propylene polymerization production process, DCS system and host, the DCS system has the data interface, control station, and database; the intelligent instruments, DCS system, and host are interconnected in turn, the host has the standardized processing module, main element analyzing module, residual error analyzing module, signal collecting module, diagnostic data specifying module and troubleshooting module. And the invention provides a failure diagnosis method. The invention provides a propylene polymerization production data detection and failure diagnosis system and method for on-line measuring of fuse index, obtaining the excellent diagnosis effect, and effective reducing of the error rate.

Description

(1) Technical field [0001] The invention relates to the field of industrial process fault diagnosis, in particular to a propylene polymerization production data detection and fault diagnosis system and method. (2) Background technology [0002] Polypropylene is a synthetic resin mainly polymerized from propylene monomer, and is an important product in the plastics industry. Due to its light specific gravity, impact resistance, corrosion resistance, high transparency, non-toxicity, good strength, good electrical insulation and easy processing, polypropylene is widely used in light industry, chemical industry, chemical fiber, building materials, home appliances, In the fields of packaging and automobiles, among the current polyolefin resins in my country, it has become the third largest plastic after polyethylene and polyvinyl chloride. [0003] The industrialized polypropylene production process is highly complex and requires huge investment. It is very important for the long...

Claims

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Application Information

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IPC IPC(8): G05B19/048G05B19/418G05B13/02G06F17/00G01N25/04
CPCY02P90/02
Inventor 刘兴高
Owner ZHEJIANG UNIV
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