OES-Environmental distributes metadata forms (questionnaires) to solicit information from researchers around the world who are exploring the environmental effects of marine renewable energy. This page provides a description and contact information related to the research. Content is updated on an annual basis.

Adaptable Monitoring Package (AMP)

Study Status: 
In Progress
Princple Investigator Contact Information: 

Name: Brian Polagye

Address: Mechanical Engineering, UW Mailbox 352600

Phone: +1 206-543-7544

Email: bpolagye@uw.edu

Project Description: 

The project is developing and demonstrating variants of the Adaptable Monitoring Package (AMP). The AMP integrates active acoustic, passive acoustic, and optical sensors into a single instrumentation package that can be cabled to shore or operated autonomously. By simultaneously observing rare, but potentially significant, interactions between marine life and marine energy converters with multiple sensor modalities, interpretation of such events is likely to be improved. Automatic detection and classification algorithms now allow the system to make continuous observations without incurring a "data mortgage".

Funding Source: 

US Department of Energy, US Department of Defence (Naval Facilities Engineering Command)

Location of Research: 

Multiple: cabled system testing has been conducted at the University of Washington and Pacific Northwest National Laboratory’s Marine Science Lab in Sequim, WA, while autonomous system testing has been conducted at PMEC-SETS off Newport, OR and at the Wave Energy Test Site in Kaneohe, HI. 

Project Aims: 
  • Develop and demonstrate an integrated instrumentation package that can be used in cabled or autonomous modes to study the interactions between marine life and marine energy converters.
Project Progress: 
  • Endurance trial completed for cabled system in May 2016 (> 90% uptime over four month period for prototype cabled system), with subsequent improvements over three month deployment in 2017.
  • Automatic real-time detection of “rare” targets (seals, diving birds, fish schools, kelp) in acoustic camera and multibeam sonar data to trigger data offload with acceptable true positive and false negative rates.
  • Automatic post-processing classification of “rare” targets in acoustic camera data with high true positive rate.
  • Integration of PAMGuard with the system to automatically detect fish tags and simulated marine mammal vocalizations.
  • Development and initial deployment of autonomous lander with duty cycle and ability to “wake up” in response to the presence of Vemco fish tags.
  • Integration of an AMP with a wave energy converter. The "WAMP" draws power from the WEC to operate the sensor package. 
Key Findings: 
  • Cooperative target testing with drifting or towed objects at known position is effective at establishing sensor ranges and diagnosing sensor functionality.
  • Passive acoustic detection of fish tags is likely to occur within the range of active acoustic instruments (e.g., multi-beam sonar, acoustic camera).
  • Acoustic camera capable of detecting marine mammals, fish schools, and individual fish to a range of 10 m.
  • Sensor fusion across instruments on the platform helpful to improve manual and automatic classification.
  • Without real-time target detection, unlikely to be able to develop a sufficient training data set for automatic tracking and classification algorithms without incurring a large data mortgage.
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