Design and implementation of an Embedded Edge-processing Water Quality Monitoring System for underground waters

Christian Correa; Dujovne, Diego; Fernando Bolaño

Keywords: Sensors , Water quality , Monitoring , Image edge detection , Event detection , Water resources , Big Data applications , Global warming

Abstract

Global warming effects are seen around the world and Latin American countries are not an exception, especially for expanding drought areas. Therefore, underground water resources use in the region is incrementing exponentially. However, temporal and spatial underground water information concerning availability and quality is scarce, disabling proper decision-making. In order to close that breach, we propose and Embedded Edge-processing IoT-based Water Quality Monitoring system. This letter introduces the design and implementation of this solution, specifically targeted to monitor irrigation and drinking water extracted from water wells. The system is designed to be deployed in central Chile, considering the topographic conditions, which severely affect power availability and communication resources. The captured data is stored in a data lake, for further processing according to water quality models.

Más información

Título de la Revista: IEEE EMBEDDED SYSTEMS LETTERS
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2022
Página de inicio: 1
Página final: 1
Idioma: Ingles
Financiamiento/Sponsor: Corfo, Water Technology Consortium CoTH20 (Grant Number: 20CTECGH-145896)
URL: https://ieeexplore.ieee.org/document/9802658/
DOI:

DOI: 10.1109/LES.2022.3184925

Notas: WOS