Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks

Increasing the efficiency of water supply networks is essential in arid and semi-arid regions to ensure the supply of drinking water to the inhabitants. The cost of renovating these systems is high. However, customized management models can facilitate the maintenance and rehabilitation of hydraulic...

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Main Authors: José Pérez-Padillo, Jorge García Morillo, José Ramirez-Faz, Manuel Torres Roldán, Pilar Montesinos
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/15/4247
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spelling doaj-951c6e6b18f84f66b6e57e1c288384ca2020-11-25T03:28:18ZengMDPI AGSensors1424-82202020-07-01204247424710.3390/s20154247Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply NetworksJosé Pérez-Padillo0Jorge García Morillo1José Ramirez-Faz2Manuel Torres Roldán3Pilar Montesinos4Department of Agronomy, University of Córdoba, Campus Rabanales, Ed. Da Vinci, 14071 Córdoba, SpainDepartment of Agronomy, University of Córdoba, Campus Rabanales, Ed. Da Vinci, 14071 Córdoba, SpainDepartment of Electrical Engineering, University of Córdoba, Campus Rabanales, Ed. Da Vinci, 14071 Córdoba, SpainDepartment of Applied Physics, University of Córdoba, Campus Rabanales, 14071 Córdoba, SpainDepartment of Agronomy, University of Córdoba, Campus Rabanales, Ed. Da Vinci, 14071 Córdoba, SpainIncreasing the efficiency of water supply networks is essential in arid and semi-arid regions to ensure the supply of drinking water to the inhabitants. The cost of renovating these systems is high. However, customized management models can facilitate the maintenance and rehabilitation of hydraulic infrastructures by optimizing the use of resources. The implementation of current Internet of Things (IoT) monitoring systems allows decisions to be based on objective data. In water supply systems, IoT helps to monitor the key elements to improve system efficiency. To implement IoT in a water distribution system requires sensors that are suitable for measuring the main hydraulic variables, a communication system that is adaptable to the water service companies and a friendly system for data analysis and visualization. A smart pressure monitoring and alert system was developed using low-cost hardware and open-source software. An Arduino family microcontroller transfers pressure gauge signals using Sigfox communication, a low-power wide-area network (LPWAN). The IoT ThingSpeak platform is used for data analysis and visualization. Additionally, the system can send alarms via SMS/email in real time using the If This, Then That (IFTTT) web service when anomalous pressure data are detected. The pressure monitoring system was successfully implemented in a real water distribution network in Spain. It was able to detect both breakdowns and leaks in real time.https://www.mdpi.com/1424-8220/20/15/4247digitalizationinformation and communication technologies (ICT)low power wide area network (LPWAN)Arduino microcontrollerThingSpeakweb service
collection DOAJ
language English
format Article
sources DOAJ
author José Pérez-Padillo
Jorge García Morillo
José Ramirez-Faz
Manuel Torres Roldán
Pilar Montesinos
spellingShingle José Pérez-Padillo
Jorge García Morillo
José Ramirez-Faz
Manuel Torres Roldán
Pilar Montesinos
Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
Sensors
digitalization
information and communication technologies (ICT)
low power wide area network (LPWAN)
Arduino microcontroller
ThingSpeak
web service
author_facet José Pérez-Padillo
Jorge García Morillo
José Ramirez-Faz
Manuel Torres Roldán
Pilar Montesinos
author_sort José Pérez-Padillo
title Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
title_short Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
title_full Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
title_fullStr Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
title_full_unstemmed Design and Implementation of a Pressure Monitoring System Based on IoT for Water Supply Networks
title_sort design and implementation of a pressure monitoring system based on iot for water supply networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-07-01
description Increasing the efficiency of water supply networks is essential in arid and semi-arid regions to ensure the supply of drinking water to the inhabitants. The cost of renovating these systems is high. However, customized management models can facilitate the maintenance and rehabilitation of hydraulic infrastructures by optimizing the use of resources. The implementation of current Internet of Things (IoT) monitoring systems allows decisions to be based on objective data. In water supply systems, IoT helps to monitor the key elements to improve system efficiency. To implement IoT in a water distribution system requires sensors that are suitable for measuring the main hydraulic variables, a communication system that is adaptable to the water service companies and a friendly system for data analysis and visualization. A smart pressure monitoring and alert system was developed using low-cost hardware and open-source software. An Arduino family microcontroller transfers pressure gauge signals using Sigfox communication, a low-power wide-area network (LPWAN). The IoT ThingSpeak platform is used for data analysis and visualization. Additionally, the system can send alarms via SMS/email in real time using the If This, Then That (IFTTT) web service when anomalous pressure data are detected. The pressure monitoring system was successfully implemented in a real water distribution network in Spain. It was able to detect both breakdowns and leaks in real time.
topic digitalization
information and communication technologies (ICT)
low power wide area network (LPWAN)
Arduino microcontroller
ThingSpeak
web service
url https://www.mdpi.com/1424-8220/20/15/4247
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