| Summary: | 碩士 === 國防管理學院 === 國防決策科學研究所 === 96 === In this paper, we applied the underwater search method and the number allocation of multi-Unmanned Underwater Vehicles (UUVs) to elevate the performance and efficiency of a rescue mission, especially during the stage of searching and orientating. In terms of the rule of the search theory and bases of mathematic models, we combined the concept of number-benefit analysis to construct a searching probability distribution model. Furthermore, comparing the current random search model with the even search model, we focused on the underwater searching time and the dispatching number of UUVs to evaluate the relation and efficiency between the number allocation of multi-UUVs, the searching time and the probability of detecting goals. Finally, we definitely constructed decision processes of searching based on the distinction and limitation within the ABC analysis of Pareto distribution and the underwater search method.
According to the underwater environment and the delay time of arriving the rescue center based on analyses of searching efficiency, benefit and performance, this paper tried to provide a definitely rule for estimating the dispatching number of UUVs and making choice of an appropriate underwater search method to raise and improve the success rate of a underwater rescue mission. Besides, a software suite was made use of rebuilding a simple Decision Support System (DDS) to provide higher efficiency and more benefit for a decision-maker using the searching probability distribution model. Our simulation model can solve those number configuration issues with the time limitation and target uncertainty. After simulating the dispatching number of UUVs and the searching time and coordinating decision processes of searching, our results can be actually use in an emergency, and also offer the military and submarine rescue units to modify the present rescue procedure or to be a critical reference to those related researches in the future.
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