Abstract
With the development of the maritime economy, sea traffic is becoming more and more crowded, and sea accidents are also increasing. Research on maritime search and rescue decision-making technology cannot be delayed. This paper studies the maritime search and rescue decision algorithm, based on the optimal search theory. It also analyzes three important concepts: Probability of containment (POC), probability of detection (POD), and probability of success (POS) involved in the maritime search and rescue decision-making process. In this paper, the calculation methods of POC and POD variables have been improved, and the search success rate has been improved to some extent. Finally, an example analysis of the maritime search and rescue incident is given. Through verification, the algorithm proposed in this paper can support maritime search and rescue decisions.
Highlights
Maritime search and rescue is not recent but has been valued since the Second World War, following the search for enemy submarines by the US Army [1]
Is small,method the search perform full coverage which is the area with the highest search success rate, and calculate the inclusion probability of on the search area, so that the probability of detection (POD) is large
This paper mainly studies the maritime search and rescue decision algorithm
Summary
Maritime search and rescue is not recent but has been valued since the Second World War, following the search for enemy submarines by the US Army [1]. Koczkodaj et al studied the emergency resource scheduling problem in drift target search and rescue [6]. Xiao Wenjun and Du Panjun et al studied the maritime search and rescue prediction model system [7]. Ren Jiaying studied the optimal planning and methods of maritime search and rescue [9]. The. The algorithm is mainly used to normalize deformation of convex polygons. 1. of Select one edgeedge of thesoconvex hull as the startingto edge, and rotate the convex hull around the left end the selected that the edge is parallel the horizontal axis of the coordinate. The left end of the selected edge so that the edge is parallel to the horizontal axis of the coordinate
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