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 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.

[1]  B. Kingdom,et al.  The challenge of reducing non-revenue water (NRW) in developing countries - how the private sector can help : a look at performance-based service contracting , 2006 .

[2]  David Saurí,et al.  Household Smart Water Metering in Spain: Insights from the Experience of Remote Meter Reading in Alicante , 2017 .

[3]  Isam Shahrour,et al.  Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow , 2017, Water Resources Management.

[4]  Gaurav Gosavi,et al.  Smart water flow monitoring and forecasting system , 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).

[5]  R. Hollands Will the real smart city please stand up? , 2008, The Routledge Companion to Smart Cities.

[6]  Monks,et al.  Revealing Unreported Benefits of Digital Water Metering: Literature Review and Expert Opinions , 2019, Water.

[7]  Shin Je Lee,et al.  Robust Leakage Detection and Interval Estimation of Location in Water Distribution Network , 2015 .

[8]  Ramón Alcarria,et al.  An Internet of Things-Based Model for Smart Water Management , 2014, 2014 28th International Conference on Advanced Information Networking and Applications Workshops.

[9]  E. Camacho Poyato,et al.  Prediction of applied irrigation depths at farm level using artificial intelligence techniques , 2018, Agricultural Water Management.

[10]  Sorin Enache,et al.  SCADA system for monitoring water supply networks , 2008 .

[11]  David L. Sedlak,et al.  Water 4.0 : the past, present, and future of the world's most vital resource , 2014 .

[12]  Rodney Anthony Stewart,et al.  Smart metering: enabler for rapid and effective post meter leakage identification and water loss management , 2013 .

[13]  J. Paul,et al.  Citizen Science and Low-Cost Sensors for Integrated Water Resources Management , 2018 .

[14]  Rejeesh Rayaroth,et al.  Random Bagging Classifier and Shuffled Frog Leaping Based Optimal Sensor Placement for Leakage Detection in WDS , 2019, Water Resources Management.

[15]  Cesare Stefanelli,et al.  Wireless Middleware Solutions for Smart Water Metering , 2019, Sensors.

[16]  Resul Kara,et al.  Leakage detection and localization on water transportation pipelines: a multi-label classification approach , 2017, Neural Computing and Applications.

[17]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[18]  Ricardo Jardim-Goncalves,et al.  Survey of Internet-of-Things platforms , 2016 .

[19]  Sani Abba,et al.  Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System , 2019, Sensors.

[20]  BottaAlessio,et al.  Integration of Cloud computing and Internet of Things , 2016 .

[21]  Ataul Aziz Ikram,et al.  A review of low cost and power efficient development boards for IoT applications , 2016, 2016 Future Technologies Conference (FTC).

[22]  Ramazan Bayindir,et al.  A water pumping control system with a programmable logic controller (PLC) and industrial wireless modules for industrial plants--an experimental setup. , 2011, ISA transactions.

[23]  Saurabh Amin,et al.  Robust sensor placement for pipeline monitoring: Mixed integer and greedy optimization , 2018, Adv. Eng. Informatics.

[24]  Dongping Fang,et al.  Usage analysis for smart meter management , 2011, 2011 8th International Conference & Expo on Emerging Technologies for a Smarter World.

[25]  J. Selman,et al.  Characterization of commercial Li-ion batteries using electrochemical-calorimetric measurements , 2000 .

[26]  Ramón Alcarria,et al.  An IoT based reference architecture for smart water management processes , 2015, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..

[27]  Li Cheng,et al.  Optimal Placement of Pressure Sensors in Water Distribution System Based on Clustering Analysis of Pressure Sensitive Matrix , 2017 .

[28]  Mark S. Johnson,et al.  Developing a Hydrologic Monitoring Network in Data‐Scarce Regions Using Open‐Source Arduino Dataloggers , 2016 .

[29]  Lamia Chaari,et al.  Remote Water Pipeline Monitoring System IoT-Based Architecture for New Industrial Era 4.0 , 2017, 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA).

[30]  Ramon Sanchez-Iborra,et al.  State of the Art in LP-WAN Solutions for Industrial IoT Services , 2016, Sensors.

[31]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[32]  Hsing-Cheng Yu,et al.  Development of Miniaturized Water Quality Monitoring System Using Wireless Communication , 2019, Sensors.

[33]  M. Villari,et al.  The 6 th International Conference on Ambient Systems , Networks and Technologies ( ANT 2015 ) Big Data Storage in the Cloud for Smart Environment Monitoring , 2015 .