Using Ocean-going Robots to Observe Wave Conditions (CS)

Python
Automation

Currently, ocean wave conditions are detected and recorded by stationary buoys positioned at various points along the coast. Stationary buoys come with a number of downsides, like being vulnerable to damage due to heavy storms. Using AUV's (autonomous ocean vehicles) containing similar sensors, we may be able to eliminate such downsides. Our project's overall goal is to outfit a Slocum glider with an accelerometer in order to make ocean wave measurements. As a member of the CS portion of this project, our primary goal is to provide frameworks for calculating (and visualizing) directional and non-directional wave spectra from these readings, as well as using finite element analysis to physically model (and visualize) the glider in order to account for the variables introduced using a moving sensor instead of a stationary one. The data processing pipeline uses elements of statistical estimation (like the maximum likelihood method) as well as aspects of ocean wave physics in order to accomplish these goals.

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Project Closeout Packet Project closeout   Download
Project Summary Video Final overview of our project   Link