Key Technologies Of Real-time Decision Making For Ship Compartment Fire

With the increasing of the damage of anti-ship weapons and the quantities of fire load, the probability of the fire occurred on ship compartment in wartime and peacetime is greatly improved. Ship compartment fire has become the main factor threatening the safety of the ship, and it is currently the focus of the research in the field of fire prevention design and firefighting decision. Once a fire occurs, due to the characteristics of the seal and confinement of ship compartments, the heat increases more rapidly, the smoke spreads faster, and the fire enlarges more easily. Once out of control, the fire may cause serious injuries to crew or damage to vital ship systems. So it is imperative for the commanders to take rapid and effective firefighting action. For this purpose, DC-SCS (Damage Control Supervisory Control System) must provide the best fire plan and allocate reasonable firefighting equipment and manpower available in critical time. At present, our DC-SCS can't meet the requirements of the real-time decision making. In order to obtain fire information in a timely manner, identify fire status automatically, predict the harm and influence of a fire timely, and get best fire plan quickly, the key technologies of real-time decision are studied and the corresponding conclusions are drawn which is listed below.(1) According to the problems that the information is backward and not comprehensive, and the query speed is low, the visualization framework of fire decision information is proposed. The key technologies of GIS (Geographic Information System) visualization are solved. Furthermore, the visualization platform of ship fire information is established and has been applied on a certain type of battle ships. The visualization technology has built the application platform for the follow-up study.(2) Aiming at the problems of traditional fire detection method in long judgment time, low accuracy and the best time to extinguish a fire, an intelligent identification framework of compartment fire based on advanced fire sensors is presented. Then, a novel Bayesian network (BN) model that is capable of identifying the size and type of a fire is proposed. When the data of fire sensors are intact or part of sensors can't work because of serious accident or the hit of anti-ship weapons, the proposed identification model has good recognition ability and robustness. The identification method for the subsequent real-time simulation and fire extinguishing plan has laid the foundation.(3) In view of the problems that the existing simulation method can't grasp the rule of the fire development in ignited compartment and the fire spread in adjacent compartments, the real-time simulation framework of multi-compartment of a fire prevention division is put forward. Then, a multi-compartment zone simulation model is established. The key technologies of the heat release rate of fuel and solid fires, the division of simulation area, fire spread standards and personnel tenability criterion are solved. The infuence of fire power, fuel types and ventilation condition on the fire parameters is analyzed, and the influence of fire parameters on the firefighting and rescue action of firefighters and the evacuation of the crew is given. The real-time simulation method has provided quantitative decision support to make best firefighting plan.(4) Aiming at the problems that current firefighting decision method can't solve the real-time decision, time uncertainty and resource balance, the structure framework to generate firefighting decision plan base on BES (Blackboard Expert System) is constructed. The synthesis reasoning method of CBR (Case-based Reasoning) combined with TIPN (Time Interval Petri Netwoks) is proposed. The synthesis reasoning method has provided dynamic decision support to take effective firefighting action.The research in this paper will be used for the design of the DC-SCS, which can further enhance the ability of the situational awareness, predicted validation, and decision response to resist the threat faced by the ships. And the safety and survivability of the ships will be maintained and improved entirely. Therefore, the research has important military significance and application value.