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The Controlled, Agile, and Novel Observing Network (CANON) team is creating new ways to remotely assess biological ocean conditions and collect samples of microorganisms. In addition to science, the CANON program has an engineering component. The coordination of multiple science objectives and multiple mobile platforms provides a rich problem domain for engineering. MBARI engineering studied the workflow of the CANON science campaigns created requirements for an Oceanographic Decision Support System (ODSS). The team has fielded the ODSS software tool in several CANON experiments. The ODSS has successfully facilitated the scientists to adaptively follow, sense and sample the changing conditions of upwelling driven algal bloom phenomena.
The tool provides a set of perspectives that map to the workflow of the experiment. The high level functionality provided in the tool:
- Situational Awareness: platform trajectory and real time data
- Logistics and planning of asset deployment
- Collaborative discussion workspace
- Real-time mobile platform control and coordination
- Data access and analysis.
The engineering team is following an iterative development process and is hosting the software as an open source project. This presentation covers the high level requirements, architecture, implementation overview and lessons learned in the CANON experiments.
Presented by T.G. Maughan, K. Rajan, J.G. Bellingham, M. McCann, D. Cline, K. Gomes, T. O'Reilly, D. Edgington, J. Das, and F. Chavez at the 2012 Ocean Sciences Meeting, Salt Lake City, UT
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