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Sensors 2017, 17(8), 1735; https://doi.org/10.3390/s17081735

Automated Water Quality Survey and Evaluation Using an IoT Platform with Mobile Sensor Nodes

1
Department of Mechanical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
2
Faculty of Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
*
Author to whom correspondence should be addressed.
Received: 31 May 2017 / Revised: 19 July 2017 / Accepted: 24 July 2017 / Published: 28 July 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Canada 2017)
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Abstract

An Internet of Things (IoT) platform with capabilities of sensing, data processing, and wireless communication has been deployed to support remote aquatic environmental monitoring. In this paper, the design and development of an IoT platform with multiple Mobile Sensor Nodes (MSN) for the spatiotemporal quality evaluation of surface water is presented. A survey planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over the study area and generate paths for MSNs to visit the SLoIs, given the limited energy and time budgets. The SLoIs are chosen based on a cellular decomposition that is composed of uniform hexagonal cells. They are visited by the MSNs along a path ring generated by a planning approach that uses a spanning tree. For quality evaluation, an Online Water Quality Index (OLWQI) is developed to interpret the large quantities of online measurements. The index formulations are modified by a state-of-the-art index, the CCME WQI, which has been developed by the Canadian Council of Ministers of Environment (CCME) for off-line indexing. The proposed index has demonstrated effective and reliable performance in online indexing a large volume of measurements of water quality parameters. The IoT platform is deployed in the field, and its performance is demonstrated and discussed in this paper. View Full-Text
Keywords: water quality monitoring; IoT platform; survey planner; quality indexing water quality monitoring; IoT platform; survey planner; quality indexing
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Li, T.; Xia, M.; Chen, J.; Zhao, Y.; de Silva, C. Automated Water Quality Survey and Evaluation Using an IoT Platform with Mobile Sensor Nodes. Sensors 2017, 17, 1735.

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