Abstract: In order to use the data of personnel, ship, environment and management during ship navigation more effectively and conduct real-time assessment of navigation safety, this paper proposed a method for evaluating ship navigation safety based on SR in routing waters. Firstly, the safety assessment elements of ship navigation were reduced based on RSCIE and the assessment ontology was constructed by combining expert knowledge. Then the ship navigation-related streaming data collected in real time was integrated by semantic Web technology, and the SR engine was used to infer the navigation safety. Finally, the ship navigation safety in a certain routing water system in Nanjing was evaluated and the method presented in this paper was compared with the other two methods based on cloud theory. The results show that the proposed method has better timeliness, higher detection rate and lower false alarm rate.

Key words: stream reasoning(SR), ship safety assessment, ontology, semantic Web, rule reasoning, rough set conditional information entropy(RSCIE)