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Feasibility of a Wind-Propelled Spar Buoy for Use as a Meteorological Observation Platform in Hurricane Conditions.

机译:在飓风条件下使用风撑式浮标作为气象观测平台的可行性。

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摘要

A novel vehicle concept is introduced and its feasibility as an autonomous, self-propelled weather buoy for use in violent storm systems is analyzed. The vehicle concept is a spar sailboat -- consisting of only a deep keel and a sailing rig; no hull -- a design which is intended to improve longevity in rough seas as well as provide ideal placement opportunities for meteorological sensors. To evaluate the hypothetical locomotive and meteorological observation capabilities of the concept sailing spar in hurricane-like conditions, several relevant oceanographic phenomena are analyzed with the performance of the concept vehicle in mind. Enthalpy transfer from the ocean to the air is noted as the primary driving force of tropical storms and therefore becomes the measuring objective of the sailing spar. A discrete, iterative process for optimizing driving force while achieving equilibrium between the four airfoil surfaces is used to steer the sailing spar towards any objective despite variable and opposing simulated winds. Based on the limitations of sailing theory, logic is developed to autonomously navigate the sailing spar between human-selected waypoints on a digitized geographic map. Due the perceived inability to measure air-sea enthalpy exchange because the nature of tropical storms and due to its small scale, the sailing spar is deemed infeasible as a hurricane-capable meteorological observation platform.
机译:介绍了一种新颖的车辆概念,并分析了其作为用于暴风雨系统的自主,自行式气象浮标的可行性。车辆的概念是翼梁帆船-仅由深龙骨和帆船架组成;无船体-一种旨在提高汹涌的海洋寿命并为气象传感器提供理想放置机会的设计。为了评估在飓风状条件下概念帆船的假想机车和气象观测能力,分析了几种相关的海洋现象,同时考虑了概念车辆的性能。从海洋到空中的焓转移被认为是热带风暴的主要驱动力,因此成为航行翼梁的测量目标。尽管存在可变的和相反的模拟风,但使用了一个离散的迭代过程来优化驱动力,同时实现四个机翼表面之间的平衡,从而使航行翼梁朝向任何目标。基于航行理论的局限性,开发了逻辑以自动导航数字化地理地图上人类选择的航路点之间的航行翼梁。由于热带风暴的性质以及由于其规模小,人们认为无法测量海气焓交换,因此航行帆柱不能作为具有飓风能力的气象观测平台使用。

著录项

  • 作者

    von Flotow, Andreas S.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Robotics.;Ocean engineering.;Remote sensing.;Meteorology.;Naval engineering.
  • 学位 Masters
  • 年度 2014
  • 页码 170 p.
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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