Research on the system of ship damage case recognition and damage control knowledge acquisition

When the ship is attacked in the war, it is difficult for us to judge the damage position and make the damage control decision swiftly because of time and information constraints. The damage cases under given weapon attack coordinates are computed in advance in damage simulator in this paper firstly. Then when a new damage happens, it will be recognized in the pre-computed damage cases. Concerning the spread of the flood and fire with the process of time, both attack coordinates recognition and current time step recognition problems are researched. The multi-objective optimization model is used in the recognition arithmetic. Because the damage case recognition is aimed at making real time damage control decision, the damage control knowledge acquisition is also researched in this paper. Damage control knowledge consists of anti-flooding knowledge and fire-fighting knowledge. They are represented by framework or generation rules respectively. Anti-flooding knowledge acquisition method is chosen to be researched in detail specially. The system of ship damage case recognition and damage control knowledge acquisition founded in this paper can improve the damage control decision greatly.