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Flock distortion: A new approach in mapping environmental variables in deep water

Published online by Cambridge University Press:  23 September 2003

David McFarland
Affiliation:
Intelligent Autonomous Systems (Engineering) Laboratory, University of West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY (UK)
Ehsan Honary
Affiliation:
Intelligent Autonomous Systems (Engineering) Laboratory, University of West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY (UK)

Abstract

This paper demonstrates a new method in sampling environmental variables and underwater currents using special devices with a particular technique. The project involves developing a set of robots as the tools for data collection, and developing a system that can interpret the data collected. The ‘ocean' currents can be mapped using a flock of robots by dropping them into the ocean. As they descend, they record the desired sensory information such as salinity, temperature, pressure, the presence of specific chemicals, etc., along with other variables required for the system to function. Once at a predefined depth the robots start ascending and still continue collecting data until they reach the surface. Back on the surface, they communicate the collected data to a base computer in a ship or on land, through satellite or other means. The base computer collects the data from every recovered member of the flock and reconstructs the path they took underwater. Then using this path, it estimates the vectors of the oceanic currents. The environmental variables can be displayed in 3D for the sampled area.

Type
Research Article
Copyright
© 2003 Cambridge University Press

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