{"title":"VDM下直升机海上SAR有效扫描宽度建模","authors":"Alexander Sulaiman, Ken Pierce","doi":"arxiv-2304.00983","DOIUrl":null,"url":null,"abstract":"Search and Rescue (SAR) is searching for and providing help to people in\ndanger. In the UK, SAR teams are typically charities with limited resources,\nand SAR missions are time critical. Search managers need to objectively decide\nwhich search assets (e.g. helicopter vs drone) would be better. A key metric in\nthe SAR community is effective sweep width (W), which provides a single measure\nfor a search asset's ability to detect a specific object in specific\nenvironmental conditions. Tables of W for different search assets are provided\nin various manuals, such as the International Aeronautical and Maritime SAR\n(IAMSAR) Manual. However, these tables take years of expensive testing and\nexperience to produce, and no such tables exist for drones. This paper uses the\nVienna Development Method (VDM) to build an initial model of W for a known case\n(helicopters at sea) with a view to predicting W tables for drones. The model\ncomputes W for various search object sizes, helicopter altitude and visibility.\nThe results for the model are quite different from the published tables, which\nshows that the abstraction level is not yet correct, however it produced useful\ninsights and directions for the next steps.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling Maritime SAR Effective Sweep Widths for Helicopters in VDM\",\"authors\":\"Alexander Sulaiman, Ken Pierce\",\"doi\":\"arxiv-2304.00983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Search and Rescue (SAR) is searching for and providing help to people in\\ndanger. In the UK, SAR teams are typically charities with limited resources,\\nand SAR missions are time critical. Search managers need to objectively decide\\nwhich search assets (e.g. helicopter vs drone) would be better. A key metric in\\nthe SAR community is effective sweep width (W), which provides a single measure\\nfor a search asset's ability to detect a specific object in specific\\nenvironmental conditions. Tables of W for different search assets are provided\\nin various manuals, such as the International Aeronautical and Maritime SAR\\n(IAMSAR) Manual. However, these tables take years of expensive testing and\\nexperience to produce, and no such tables exist for drones. This paper uses the\\nVienna Development Method (VDM) to build an initial model of W for a known case\\n(helicopters at sea) with a view to predicting W tables for drones. The model\\ncomputes W for various search object sizes, helicopter altitude and visibility.\\nThe results for the model are quite different from the published tables, which\\nshows that the abstraction level is not yet correct, however it produced useful\\ninsights and directions for the next steps.\",\"PeriodicalId\":501310,\"journal\":{\"name\":\"arXiv - CS - Other Computer Science\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Other Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2304.00983\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2304.00983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling Maritime SAR Effective Sweep Widths for Helicopters in VDM
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.