A sensor ontology for the domain of firefighting robots

摘要: Wagoner, Amy R. M.S., Purdue University, May 2014. A Sensor Ontology for the Domain of Firefighting Robots. Major Professor: Eric T. Matson. Fires create thousands dollars in damage and deaths each year. Firefighters risk their lives everyday are often killed action. robots may be able to reduce loss due fires. Robots used redundant tasks that require consistency efficiency a machine. They especially optimal strength exceeds typical human being or environments hazardous people. metallic exteriors far more durable easier replace than flesh blood, thus they ideal fighting fire unreachable too dangerous humaning beings. most shaped like tanks equipped with extinguishers, sensors, cameras. The typically operated via remote control lack autonomy. Because volatile nature fires, it is difficult software engineers algorithms make firefighting autonomous. Ontologies commonly sharing domain information structuring analyzing data. This study proposes using an ontology designed specifically robot programmed rescue danger order decision making algorithm. methodology uses ontological tools build ontology. decision-making algorithm created stored evaluated on accuracy rate correct decision. It also if performs significantly better decisions chosen at random.