A Novel Multi-Sensor Ship Fire Detection Algorithm Based on Fuzzy Neural Network

In the process of responding to and controlling ship fires, timely detection of fires is crucial, and therefore the fire detection system continues to develop with the development of shipbuilding technology. Traditional fire alarm systems usually adopt a single sensor mode, relying on simple logic to infer the degree of fire occurrence. Currently, the main fire detection technology used by ships is the multi-sensor fire detection mechanism. In order to improve the accuracy of this mechanism, this paper proposes a multi-sensor fire detection algorithm based on neural network fuzzy inference system. By using the integration and cooperation of multiple sensors, as well as comprehensive analysis of multiple parameters, it can achieve multi-level ship fire warning.