차량 진단보조 시스템을 위한 온톨로지 구현

Abstract

Vehicles are one of the most important transportation systems over the world. Many researchers have been struggled to improve performances and structures of cars. Recently, the vehicle markets demand to companies to guarantee a safety and convenience of automobiles. Moreover, customers have been requesting not only for the advanced performance or energy saving but also, exhaust gas reduction. In other words, the smart vehicle system that providing intelligent information is essential at this moment. Due to the increase of user demands for vehicles and a diversity of electronic equipments, engineers need to have long period experiences and maintenance skills. However, the senior experts who are good at examine diverse vehicles are still not enough to satisfy customer demands. In order to analyze signal from vehicles to identify what problem is lots of researches have been studied for the vehicle diagnosis. Even so, there is a problem that only little specific sensor information is displayed on the screen in dashboard compare to the number of sensor in the vehicles. Because of this reason, it is difficult to give precise information to driver which parts are disabled or how to solve it using the current system. In order to solve this drawback, it is necessary to have a system which is possible to build knowledge base to support logical reasoning, effectively. In this paper, I propose a vehicle diagnosis supporting system using vehicle ontology to make adequate decisions for the vehicle condition even though, the driver is not familiar with specific vehicle information. I believe that the proposed system will strengthen the traditional vehicle maintaining system.