RETRACTED ARTICLE: Online measurement of water quality and reporting system using prominent rule controller based on aqua care-IOT

Parameswari, M.; Moses, M. Balasingh

doi:10.1007/s10617-017-9187-7

Cited by 30 publications

(22 citation statements)

References 18 publications

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“…Additionally, their enormous population places a significant amount of stress on their existing supply chains. As a result, the research papers from developing economies tend to rely heavily on cost-efficient novel technologies like Cloud Computing and SCADA, in conjunction with IoT technologies (Geetha and Gouthami 2016 ; Parameswari and Moses 2017 ; Saravanan et al 2018 ; Odiagbe et al 2019 ). In the case of developing economies, the scope of the case study implementation papers is concentrated mainly on water quality monitoring (Cloete et al 2016 ; Geetha and Gouthami 2016 ; Parameswari and Moses 2017 ; Saravanan et al 2018 ; Kawarkhe and Agrawal 2019 ), leakage detection (Daadoo and Daraghmi 2017 ), and water management (Odiagbe et al 2019 ).…”

Section: Discussionmentioning

confidence: 99%

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Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Maroli

Narwane

Raut

et al. 2020

Clean Techn Environ Policy

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This study aims to identify issues plaguing rural India's water supply chain and present a general methodology for the implementation of an IoT-based water distribution and management system in a rural setting. Through the literature review, significant hurdles in the water supply chain of rural India, as well as the potential role of IoT in water supply chain management, were recognized. An implementation plan was proposed to design an IoT-based water distribution and management system with the help of flow meters, ultrasonic sensors, motors, etc. Also, the feasibility of such a system was explored with the help of a use case. This study highlighted that one of the most significant reasons for water scarcity in rural India is the lack of proper infrastructure leading to water resources mismanagement. In the context of our use case, despite adequate availability of physical water for consumption, by the time water is delivered to the consumers, a significant amount of it is wasted due to the lack of an efficient water management system. It was determined that the investment return for the proposed system would break even within three months of installment. This study's results are based on inputs from governmental data collected in the Census report of 2011. As such, the ground level scenario is bound to be comparatively different today. This study is anticipated to guide governmental organizations and policymakers in the formulation of new strategies. Graphic abstract

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Section: Discussionmentioning

confidence: 99%

“…Parameswari and Moses ( 2017 ) highlighted the need for an IoT-based water quality monitoring system instead of conventional systems. They developed a low-cost, IoT-based water quality monitoring system to provide reliable water quality information to the community.…”

Section: Literature Surveymentioning

confidence: 99%

Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Maroli

Narwane

Raut

et al. 2020

Clean Techn Environ Policy

View full text Add to dashboard Cite

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“…Sensors particularly reports unsettling reason, system will assess the dynamics of fish using 3D array ultrasound transducers. In [9], Controller has been developed using Arduino Uno, which manages four sensors (temperature, pH, turbidity, conductivity) then controller connected to data concentrator. Analyzed water quality transferred to cloud through Wi-Fi transceiver.…”

Section: Related Workmentioning

confidence: 99%

Water Quality Monitoring and Prediction of Water Quality at College Premises using Internet of Things

2019

IJEAT

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IoT is becoming more popular and effective tool for any real time application. It has been involved for various water quality monitoring system to maintain the water hygiene level. The main objective is to build a system that regularly monitors the water quality and manages the sustainability. This system deals with specific standards like low cost background and system efficiency when compared to other studies. In this paper, IoT based real time monitoring of water quality system is implemented along with Machine learning techniques such as J48, Multilayer Perceptron (MLP), and Random Forest. These machine learning techniques are compared based on the hyper-parameters and the results were obtained. The attributes such as pH, Dissolved Oxygen (DO), turbidity, conductivity obtained from the corresponding sensors are used to create a prediction model which classifies the quality of water. Measurement of water quality and reporting system is implemented by using Arduino controller, GSM/GPRS module for gathering data in real time. The collected data are then analyzed using WEKA interface which is a visualization tool used for the analysis of data and prediction modeling.The Random forest technique outperforms J48 and Multilayer perceptron by giving 98.89% of correctly classified instances.

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“…It includes many cheap sensors in the surround, those support the public via new quality monitoring services and feedback report without any burden at anytime and anywhere. Also it can be considered as explicitly advance as a quality of human life [2]. S. Geetha and S. Gouthami [3], present a simpler solution to water quality monitoring in pipes based on IoT.…”

Section: Introductionmentioning

confidence: 99%

Water monitoring and analytic based thingspeak

Miry¹,

Aramice²

2020

IJECE

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Diseases associated with bad water have largely reported cases annually leading to deaths, therefore the water quality monitoring become necessary to provide safe water. Traditional monitoring includes manual gathering of samples from different points on the distributed site, and then testing in laboratory. This procedure has proven that it is ineffective because it is laborious, lag time and lacks online results to enhance proactive response to water pollution. Emergence of the Internet of Things (IoT) and step towards the smart life poses the successful using of IoT. This paper presents a water quality monitoring using IoT based ThingSpeak platform that provides analytic tools and visualization using MATLAB programming. The proposed model is used to test water samples using sensor fusion technique such as TDS and Turbidity, and then uploading data online to ThingSpeak platform to monitor and analyze. The system notifies authorities when there are water quality parameters out of a predefined set of normal values. A warning will be notified to user by IFTTT protocol.

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RETRACTED ARTICLE: Online measurement of water quality and reporting system using prominent rule controller based on aqua care-IOT

Cited by 30 publications

References 18 publications

Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Water Quality Monitoring and Prediction of Water Quality at College Premises using Internet of Things

Water monitoring and analytic based thingspeak

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