Human-Robot Interaction in Future Oil and Gas Installations: Automatic Generation of Function Allocation
Master thesis
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http://hdl.handle.net/11250/259574Utgivelsesdato
2010Metadata
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Sammendrag
By incorporating advanced technologies such as information processing, inte- grated operations and human-robot interaction, for the past couple of years, the Norwegian Continental Shelf s oil and gas companies have been working on development of marginal and new robotized oil and gas production fields. These will increase production and reduce the number of incidents related to health, safety and environment, and thus create greater value. Considering some selected teleoperation-relevant oil and gas inspection, maintenance and operational tasks of existing fields, and focusing on function allocation theory, I propose (1) low and high bounds degrees of automation, and (2) a detailed taxonomy of levels of information acquisition and analysis which could be applicable to tasks requiring continuous remote environment s perception, recognition, and supervisory control.