Internet of Water Things: A Remote Raw Water Monitoring and Control System

Abilio C Da Silva Junior,Maria De Los Angeles Quezada,Mohammad Mehedi Hassan,Roberto Munoz,Aloisio V Lira Neto,Victor Hugo C De Albuquerque

doi:10.1109/access.2021.3062094

Abstract

The scarcity of the planet's water resources is a concern of several international entities and governments. Smart solutions for water quality monitoring are gaining prominence with advances in communication technology. This work's primary goal is to develop a new online system to monitor and manage water resources, called Internet of Water Things (IoWT). The proposed system's objective would be to control and manage raw water resources. Thus, it has developed a platform based on the server-less architecture and Internet of Things Architectural Reference Model, in which it is applied in a simulation environment, considering several electronic devices to validate its performance. For this research, there is a system for capturing raw water from tubular wells. Each well has a level sensor, a temperature sensor and a rain gauge. The data is collected every minute by an electronic device and sent every hour to the IoWT system. From data analysis, the amount of memory allocated to functions minimally interferes with efficiency. The IoWT system, applied in a real case, consists of connecting a device installed in a water well to the platform, where the data is transmitted through a 3G network and then processed. Thus, the proposed approach has great potential to be considered a complementary tool in monitoring raw water and assisting in decision-making for the management of water resources.

Highlights

The United Nations (UN) and the United Nations for Education, Science and Culture (UNESC) have been intervening with the shortage of hydrological resources of the planet and its catastrophic effect upon agriculture and human consumption [1]
Researchers have examined the Internet of Things (IoT), considering that it is an infrastructure of the global red and is highly adjustable based on communication protocols in which the physical things have a virtual identity as well as intelligent interphases capable of binding with other information systems [2], [3]
We evaluated the architecture according to the Scenario-Based Architecture Reengineering (SBAR) method described above and the prototype had its evaluated performance of based on memory used by serverless functions

Summary

Introduction

The United Nations (UN) and the United Nations for Education, Science and Culture (UNESC) have been intervening with the shortage of hydrological resources of the planet and its catastrophic effect upon agriculture and human consumption [1]. Other computer techniques such as Big Data, Artificial Intelligence and Machine Learning [4]–[6], IoT has been presented as a very promising alternative for divers types of application such as the tracking of environmental and rural resources [7]–[9], urban [10]–[13], industrials [14]–[16] and of health [17]–[19]. Other research focuses on developing an automation system on a Water Treatment Plant (WTP) using the Raspberry Pi and adafruit.io cloud server as the MQTT server. In this proposed system, Raspberry Pi has a function to facilitate the computational

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Conclusion