Application of Machine Learning in Navigation Simula

Ship fire accidents and losses are increasing year by year. Various types of ship fire and explosion accidents occur frequently, resulting in a large number of property losses and casualties. As the ship fire accident is a small probability event, it is limited to rely solely on the experience gained in the actual fire accident. The training environment of traditional fire training institutions is very different from that of ship fire training. As ships often travel in waters far away from land, the rescue of ship fires can only rely on the ship’s own fire-fighting system. The ship fire protection system plays the role of real-time monitoring the fire situation and timely starting the fire linkage equipment, which is conducive to timely finding and extinguishing the initial fire. The ship intelligent fire-fighting real-time monitoring and alarm system carries out early fire detection in the cabin, correctly judges the time and location of the fire, actively alarms, timely transmits relevant information to the main control computer, and cooperatively controls auxiliary fire-fighting equipment such as sprinkler system, fan and fire curtain to assist personnel in extinguishing the fire.