DocumentCode :
2583903
Title :
Plant asset management functions driven by property models
Author :
Mertens, Martin ; Epple, Ulrich
Author_Institution :
Dept. of Process Control Eng., RWTH Aachen Univ., Aachen, Germany
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
1
Lastpage :
8
Abstract :
During the plant´s life cycle, plenty of information is generated manually and automatically, not only in the stage of plant operation. Such information concerns all entities which can be described by property models, for example field devices, functional roles from the P&I-Diagram or even software units for process control. This article presents an approach to model these distributed properties in an integrated way. Property information is modeled by statements, which contain important semantics to support diagnosis and asset management related functions. In addition, the model may be used to automatically gain property values of a plant element which does not offer this information a priori. Typically, we address non-intelligent plant elements like pumps or other devices, that do not offer their own measurements. The presented algorithm is designed in a modular way which minimizes the engineering effort and scales with the plant complexity. The approach is already implemented within an industrial environment, realizing a fully automated monitoring application for pumps in a German BP refinery.
Keywords :
industrial plants; monitoring; process control; German BP refinery; P&I-diagram; automated monitoring; piping and instrumentation diagram; plant asset management; plant operation; process control; property models; software units; Algorithm design and analysis; Asset management; Communication standards; Computerized monitoring; Design engineering; Documentation; Process control; Process planning; Refining; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Conference_Location :
Mallorca
ISSN :
1946-0759
Print_ISBN :
978-1-4244-2727-7
Electronic_ISBN :
1946-0759
Type :
conf
DOI :
10.1109/ETFA.2009.5347057
Filename :
5347057
Link To Document :
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