Design Of Expert System For Collision Avoidance

To avoid the collision accidents of ships at sea, with the universalizing and application of computer, and the development and maturity of the technology of Expert System and Artificial Intelligent, this paper developed an intelligent collision avoidance expert system for navigation. The main research work centers on several aspects, which will be represented as below:By the navigation rules' understanding and analyzing, and by the navigation experience and navigation samples' collecting and trimming, we put forth and build a multi-unit and layering KB systematic structure, and implement the KBM. According to features of different knowledge, we adopt multifarious KR, such as: frame KR, production rule KR, procedure KR. We also build a multi-inference system, which based on analog inference, forward illation inference, conversion inference and meta-rule inference. At the same time, we develop each reasoning algorithm. For some problems in collision avoidance region during the building of the expert system, we put forth and build a set of models to solve them using neural network technology. These models comprise the classification of ship, the model of classifying encounter situation and the judging of collision risk.This system mainly consists of ES, assisted by technology of neural network, possessing of certain intelligent. The simulation experiment shows: the system can analyze and judge various sailing cases and encounter situation, and offered a reasoning scheme, which settle the collision problem effectively and ensure the sailing safety.