使用多源数据聚合识别渔港角色

W. W. Hsu, Hao-Hsun Wang, Min-Ruey You, Minjaro Lu, Hsin-Yu Tsai
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引用次数: 0

摘要

管理和维护渔港对渔业活动至关重要。由于缺乏预算和劳动力,一些渔港面临关闭的边缘。拆除的首选是利用率低的渔港,但这并不意味着港口完全无用。当恶劣天气(例如台风)接近海岸线时,远洋渔船会返回港口停靠,以确保安全。当主要港口完全靠岸时,将选择一些次要港口或不太活跃的港口作为避风港。这些港口很少使用,利用率也很低,但出于安全考虑,仍应保留,因为它们是极端天气条件下的避难所。本研究采用大数据聚合的方法,利用收集到的航次数据记录仪(VDR)记录对渔船状态进行处理,从而识别避风港口,并将这些信息与台风信息数据源相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying roles of fishing ports using multi-source data aggregation
Managing and maintaining fishing ports is crucial for fishing activities. With the lack of budget and labor force, some fishing ports face the brink of being shut down. A first choice for demolishing would be fishing ports with low utilization, but this does not mean the port is totally useless. When severe weather condition, i.e., typhoons, is in the proximity of the coastal line, offshore fishing vessels will return to dock in ports for safety. When major ports are fully docked, some of the minor ports or less active ports will be chosen as the haven. These ports are seldom used and lowly utilized, but should still be maintained for safety issues as they serve as a sanctuary for extreme weather conditions. This research uses big data aggregation approach to identify haven ports by processing fishing vessel states using collected voy­age data recorder (VDR) records and correlates this information with the typhoon information data source.
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