Predicting The Position of a Submarine Based on A Dynamic Model

Abstract

In deep-sea exploration projects, submarines have become one of the recreational activities for people and also serve as the primary means of scientific investigation in the deep ocean. To monitor the submarine's position and status in real-time, we have developed dynamic and Monte Carlo random walk models to predict its location over some time. Due to the complexity of the underwater environment, search and rescue equipment is necessary to locate the submarine in case of malfunction or loss of contact. Therefore, we employ the VIKOR evaluation ranking model to assess and rank various search and rescue devices, ultimately determining that carrying equipment such as the Teledyne BV5000 sonar, infrared thermographic camera, and deep-sea camera is most suitable. Through our model, we have a significant impact on future submarine diving missions, enabling accurate prediction of the submarine's position and selection of appropriate search and rescue equipment, thereby enhancing safety in underwater exploration and scientific research.