Research on Submersible Search Models Adapted to Dynamic Environments and Multi-UUV Collaboration

With the increasing demand for ocean exploration in the fields of technology and engineering, there is an urgent need to develop efficient and safe Human Occupied Vehicle (HOV) and Unmanned Underwater Vehicles (UUV) to address potential safety risks in complex marine environments. In response to this demand, this paper attempts to establish a Submerged Vehicle Route Tracking Model and a Search Time Minimize Model to improve the risk resistance of Unmanned Underwater Vehicles during operation; A positioning and navigation solution for rescue ships and main engine ships was proposed by predicting the operating path of Unmanned Underwater Vehicles and combining path-finding algorithms; Finally, the superiority of the model and algorithm established in this paper was demonstrated through practical analysis and discussion of the Ionian Sea and other sea areas.