Design of an Ontology Model Based Ship Condition Monitoring Middleware

It is important for the ship automation management to implement the ship condition monitoring and real-time fault early warning. In order to improve the efficiency of data collection and intelligence of ship monitoring, a ship monitoring ontology model is proposed by using Web Ontology Language (OWL) and a reason manager is designed by using Semantic Web Rule Language (SWRL). Besides, Java Expert Shell System (JESS) based reason machine is implemented to integrate the ship condition monitoring ontology and inference rules. A test bed is developed to verify the performance of the middleware system with real-time sensor data. The results show that the proposed middleware can improve the accuracy and decrease the warning delay compared with existed traditional monitoring system.