Summary
A novel remote diagnosis system of refrigerated containers is studied and the main diagnosis methods in the current is ana1yzed. A multi-functional intelligent technical platform of diagnosis and controlling of refrigerated containers is designed, which is based on the theories of hybrid structure tree (HST) and structure bee. The uncertain reasoning of rough sets theory and HST are used to set up a large knowledge and rules library, which ensure the efficient work of refrigerated containers on maritime vessels. The development and the application of the remote diagnosis system of refrigerated containers can release the pressure of labours, and have actual significance in ensuring the safe operation of maritime refrigerated containers and advancing economic benefit.
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Pages: pp. 473-475
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Details
- Original title: Research on remote fault diagnosis of refrigerated containers.
- Record ID : 2009-2523
- Languages: English
- Source: ACRA-2009. The proceedings of the 4th Asian conference on refrigeration and air conditioning: May 20-22, 2009, Taipei, R.O.C.
- Publication date: 2009/05/20
Links
See other articles from the proceedings (102)
See the conference proceedings
Indexing
- Themes: Containers and packaging
- Keywords: Design; Remote monitoring; Anomaly; Detection; Refrigerated container
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Remote monitoring and fault diagnosis of marine...
- Author(s) : JI H., HAN H., WU J. A., et al.
- Date : 2009/05/20
- Languages : English
- Source: ACRA-2009. The proceedings of the 4th Asian conference on refrigeration and air conditioning: May 20-22, 2009, Taipei, R.O.C.
- Formats : PDF
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Upping the remote monitoring stakes.
- Date : 1992/03
- Languages : English
- Source: Cargo Syst. - vol. 19 - n. 3
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Seacold 320/340: economical refrigerated transp...
- Author(s) : HATTON J.
- Date : 1992
- Languages : English
- Source: World Freight Technol. - vol. 1
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Intelligent fault detection for refrigerated re...
- Author(s) : WRONSKI J., JONSSON R. I.
- Date : 2019/08/24
- Languages : English
- Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
- Formats : PDF
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Diagnosing systems for refrigeration storage.
- Author(s) : SANO M.
- Date : 1993/09
- Languages : Japanese
- Source: Refrigeration - vol. 68 - n. 791
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