Modelling Maritime SAR Effective Sweep Widths for Helicopters in VDM

Alexander Sulaiman, Ken Pierce
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Abstract

Search and Rescue (SAR) is searching for and providing help to people in danger. In the UK, SAR teams are typically charities with limited resources, and SAR missions are time critical. Search managers need to objectively decide which search assets (e.g. helicopter vs drone) would be better. A key metric in the SAR community is effective sweep width (W), which provides a single measure for a search asset's ability to detect a specific object in specific environmental conditions. Tables of W for different search assets are provided in various manuals, such as the International Aeronautical and Maritime SAR (IAMSAR) Manual. However, these tables take years of expensive testing and experience to produce, and no such tables exist for drones. This paper uses the Vienna Development Method (VDM) to build an initial model of W for a known case (helicopters at sea) with a view to predicting W tables for drones. The model computes W for various search object sizes, helicopter altitude and visibility. The results for the model are quite different from the published tables, which shows that the abstraction level is not yet correct, however it produced useful insights and directions for the next steps.
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VDM下直升机海上SAR有效扫描宽度建模
搜索和救援(SAR)是对处于危险中的人进行搜索和提供帮助。在英国,搜救队通常是资源有限的慈善机构,搜救任务时间紧迫。搜索经理需要客观地决定哪种搜索资产(例如直升机vs无人机)会更好。SAR领域的一个关键指标是有效扫描宽度(W),它为搜索资产在特定环境条件下检测特定目标的能力提供了单一衡量标准。各种手册(例如《国际航空和海上搜救手册》)提供了不同搜索资产的W表。然而,这些表需要花费数年的时间进行昂贵的测试和积累经验,而无人机还没有这样的表。本文使用维也纳开发方法(VDM)为已知情况(海上直升机)建立W的初始模型,以期预测无人机的W表。该模型计算各种搜索对象大小、直升机高度和能见度的W。模型的结果与已发表的表格有很大的不同,这表明抽象层次还不正确,但是它为下一步提供了有用的见解和方向。
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