Cloud-Based Smart Water Quality Monitoring System using IoT Sensors and Machine Learning

Abstract

Low water quality is a major concern in urban as well as rural areas. Consumption of contaminated water leads to several health hazards. Early water quality detection can prevent most of such health-related issues. Parameters such as conductivity, pH, nitrate, biochemical oxygen demand, fecal coliform are significant parameters in deciding the quality of water. These parameters which are collected from groundwater samples at different places are highly correlated to each other. Therefore, machine learning algorithms are used for classification. The data collected from sensors are further analyzed using a cloud-based environment Ubidots to support distributed computing. The cloud environment is connected to display units and mobile devices. To predict the quality of water it is necessary to check the values associated with the quality attributes and for that reason, a decision tree classification model is used. The dataset is broken into subsets that have decision nodes and leaf nodes to decide classifications. The IoT based sensors are deployed in the water tank to measure the quality parameters which are further sent to the cloud. The proposed framework predicts the water quality and assesses the performance of the decision tree classifier. Decision Tree is used to infer decision rules based on various parameters read through sensors.

Advances in machine learning and IoT for water quality monitoring: A comprehensive review

“…The collected data was then transmitted to a cloud-based database. Similarly, Jha [ 51 ] evaluated groundwater using Bluetooth-enabled sensors and implemented a system to send data to mobile devices via GSM and Bluetooth in case the parameters exceeded standard limits. This approach facilitated timely detection of potential issues and enabled effective WQM.…”

IoT for Smart Environment Monitoring Based on Python: A Review

“…SEM systems, including air quality evaluation, water pollution, and agricultural monitoring systems and subsidiary implementations of the three major studies, were investigated in this survey. The contributions included a broad range of SEM approaches, including air quality assessments, for various purposes [7,15,16,[42][43][44][45][46][47][48][49]; water pollution control methods [18][19][20][34][35][36][37][38][39][40][41]; and smart agriculture monitoring systems [17,[25][26][27][28][29][30][31][32][33].…”

“…Jha, [44] Proposed a system to monitor the groundwater quality. The CC3200 microcontroller is used to build a cloud-based setup.…”

A Survey on Monitoring Water Quality by Aid of IoT

“…Using ZigBee/Wi-Fi technology, these sensors are attached to the microcontroller. To read the outcome, the microcontroller is linked directly to the LCD [11].…”