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AOSM2022: Re:mote - Open-source Software and Low-cost Hardware Infrastructure for Water Quality and Tracking
Section 1: Publication
Authorship or Presenters
Emil Sekerinski, Runze Zhao
Re:mote - Open-source Software and Low-cost Hardware Infrastructure for Water Quality and Tracking
Water Quality and Aquatic Ecosystems
Emil Sekerinski, Runze Zhao (2022). Re:mote - Open-source Software and Low-cost Hardware Infrastructure for Water Quality and Tracking. Proceedings of the GWF Annual Open Science Meeting, May 16-18, 2022.
AOSM2022 Co-creation of Indigenous Water Quality Tools
Section 2: Abstract
Plain Language Summary
The re:mote software and hardware infrastructure comprises motes with various (commercial and research prototype) sensors for collecting water quality data, a mesh network connecting motes through a base station to a server, a time series database and a (multi-lingual) web server running on the server hardware, and notebooks for analyzing data programmatically. Our open-source solution involves a progressive web application and a network of sensors that allows for long-term continuous monitoring of various water-quality parameters such as dissolved oxygen, pH levels, and temperature. We built the scalable network using low-cost IoT devices that connect over a long-range mesh network. The devices transmit data to a gateway that relays the sensor data to a server over a 3G/4G connection. We host the server on a Raspberry Pi that can handle as many as 450 concurrent sensor data transmissions. We store the data in an InfluxDB time-series database, and we process, analyze, and visualize it on the web application. We propose an additional water quality monitoring solution that allows for in-person sensor data to be collected using a mobile device over Bluetooth. Only open-source software and low-cost hardware are used, allowing the setup to be used for education and maintained by communities.
Section 3: Miscellany
First Author: Emil Sekerinski
Additional Authors: Runze Zhao, McMaster University
Section 4: Download
T-2022-04-24-N1edViAmT006N1sARLS5h53g Conference Publication 1.0