| Summary: | 碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 107 === In recent years, the Taiwan government is eager to develop wind power. Cause of the dense population and limited land, Offshore Wind Farms becomes the primary focus. However, the locations of potential offshore wind farms are near the habitat of the Sousa chinensis so the relative units need to control the noise of pile driving of the offshore wind turbine to avoid the noise influences the Sousa chinensis directly. The method of monitoring underwater noise in the past is a waste of time and manpower therefore automated monitor become an important topic.
The main purpose of this article is developing an unmanned surface vehicle (USV) for monitoring the noise of pile driving automatically by improving a RC controlled unmanned surface vehicle to an automated unmanned surface vehicle. Use Raspberry Pi to be a mission controlled computer on USV by installing MOOS-IvP developed by Laboratory for Autonomous Marine Sensing System, Massachusetts Institute of Technology. The main programming of this research is C++. According to the advantage of MOOS-IvP such as peer to peer communication system architecture, distributed processing framework and clear programming style, the application for monitoring underwater noise was developed to work in MOOS-IvP system. After combining the all things, USV was tested on the Keelung river in Taiwan for simulation experiment of monitoring the noise of pile driving.
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