碩士 / 國立臺灣海洋大學 / 運輸科學系 / 107 / When “Sustainable Development” has become the global trend as the most important topic. In the meantime, “Green Port” also has been emphasized the attention of the internal harbors in the same time. In the maritime management,
government officers have gradually paid attention to the air pollution from ship and port activities. Green port program will be developed to achieve the continuous environmental protection, social and economic benefits through different management measure. Such as port constructions, regulations and pollution prevention mechanisms. In this study, the static and dynamic vessel data are provided by the Automatic Identification System (AIS). Therefore, this study integrates the Marine Geography Information System (MGIS) and Fuzzy distinguish theory to propose the optimum speed for inbound vessels, not only to reduce the harbor air pollution and also ensure the safety of entry and exit of the port for all vessels. These seven algorithm blocks are used for the Fuzzy Logic Control (FLC) input. Including Turning Capacity (TC), Crush Stop Capacity (CSC), Wind and Current Effect (WACE), Ship Operating Capacity Index (SOCI), Environment Influence Index (EII), Ship Maneuvering Capacity Index (SMCI), Green Port Index (GPI); and one Optimum Speed (OS) output. This method provides the suggesting optimum speed (7 to 8 knots) for the captain and Vessel Traffic Center (VTC) as the reference navigation speed. Hence, while speed down for reducing the air pollution, also keeping the navigation safety and improving the port efficiency in simultaneously.
| Identifer | oai:union.ndltd.org:TW/107NTOU5279018 |
| Date | January 2019 |
| Creators | Lin, Jia-Lin, 林佳霖 |
| Contributors | Kao, Sheng-Long, 高聖龍 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 124 |
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