The Optimization of Maritime Search and Rescue Simulation System Based on CPS

Abstract

The maritime search and rescue simulation system (MSRSS) contains not only lots of empirical coefficients but also some empirical formulas to reconcile the necessary conditions of the model. Therefore, in order to ensure the computing accuracy of the model, it is necessary to verify the model and adjust the empirical coefficients so as to optimize the model. Depending on the optimization model in MSRSS, the accurate prediction results are obtained. The whole optimizing process of the model is completed based on the cyber physical system (CPS). In the loop of optimization, different types of sensors are used to transform various physical quantities into analog quantities with big data properties. Helped by the great computing power of the equipment, the simulation model predicts the physical values such as the water level, the tidal flow, and the rescue scope of distress target according to the pre-stored big data. By comparing the simulated data with the measured data, the prediction accuracy can be verified, the model is adjusted and optimized. Finally, if the prediction results do not meet the requirements, a new iteration of the optimized prediction model begins until the accuracy of the model meets the requirement. Based on the cyber physics system, the model optimization is of great significance to the decision-making and target positioning of marine search and rescue.