DocumentCode
606455
Title
Towards a model-based approach for context-aware assistance systems in offshore operations
Author
Koppaetzky, Nils ; Nicklas, Daniela
Author_Institution
Dept. of Comput. Sci., Univ. of Oldenburg, Oldenburg, Germany
fYear
2013
fDate
18-22 March 2013
Firstpage
55
Lastpage
60
Abstract
With the effort to increase renewable energy production, offshore wind power plants become increasingly important. Thus, there is a growing necessity to carry out offshore operations like construction or maintenance of wind power plants. Offshore operations are complex, risky, and therefore prone to accidents. A context aware assistance system might help to increase the safety during these operations. It could observe the status of safety relevant entities with sensors and support crews by displaying status information and triggering warnings in occurrence of critical situations. As the safety relevant entities and the critical situations depend on the executed operation, the assistance system needs to be based on a dynamic and flexible context model. This paper introduces an approach to design an easy adaptable, extendable and deployable context model for an offshore operation assistance system.
Keywords
maintenance engineering; offshore installations; power engineering computing; renewable energy sources; safety; sensors; ubiquitous computing; wind power plants; context-aware assistance system; critical situation; dynamic context model; flexible context model; model-based approach; offshore operation assistance system; offshore wind power plant; renewable energy production; safety; sensor; support crew; wind power plant construction; wind power plant maintenance; Adaptation models; Context; Context modeling; Ontologies; Sensor systems; Unified modeling language; assistance system; context modeling; offshore; safety; situation recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-5075-4
Electronic_ISBN
978-1-4673-5076-1
Type
conf
DOI
10.1109/PerComW.2013.6529456
Filename
6529456
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