Development of a GPS-based autonomous water pollution monitoring system using fish robots

Authors:
Daejung Shin;Seung Y. Na;Jin Y. Kim;Seong-Joon Baek;Mingyu Song;Aaron Park
Affiliations:
BK21, Chonnam National University, Gwangju, South Korea;Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea;Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea
Venue:
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2007

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Abstract

We introduce an autonomous water pollution monitoring system that searches the sources of water pollution and makes measurements of relevant data using a fish robot. A fish robot searches and monitors various areas using GPS receivers and directional information. A fish robot has three microcontrollers which provide full functions, for example, motor operations for the swimming of a fish robot, analog sensor data acquisition including temperature and infrared distance sensors, decoding GPS information, counting the time of sonar in ultrasound sensors and a directional sensor, collecting information of water pollution measurement sensors from Vernier Labpro, and communications. A fish robot swims autonomously in predefined areas and collects the water pollution indexes. Collected information by a fish robot is sent to data collecting nodes by USN motes and Bluetooth, and the data are accessible on the Internet by Ethernet devices.