IoT Based Smart Water Quality Monitoring and Prediction System

Abstract

As indicated by Human Rights Watch, twenty million individuals in our nation are as yet drinking water defiled with arsenic. The World wellbeing Organization (WHO) has likewise expressed this emergency as "the biggest mass harming of a populace ever". To diminish the water related ailments and avoid water populace, we need to quantify water parameters, for example, ph, turbidity, conductivity, temperature and so on. Conventional approach of water observing requires gathering information from different sources physically. A while later examples will send lab for testing and breaking down. So as to spare time utilization and diminishing manual exertion my testing supplies will be put in any water source. Thus, this model can distinguish contamination remotely and take essential activities. The primary objective of this paper to assemble a Sensor-based Water Quality Monitoring System. Arduino Mega 2560 go about as a base station and information from sensor hubs will be send to it. For the scholastic reason, this paper exhibits a little model of sensor systems comprising of temperature, water level, stream and ph. At that point ph and temperature sensor esteems were sent cloud stage (ARTIK cloud) and showed as a graphical portrayal on a neighborhood PC. In addition, GSM shield (SIM808) is associated with Arduino Mega which thinks about sensor esteems to edge esteems and sends a text-based notification to the operator if the got esteem is above or underneath the edge esteem. The aftereffects of this undertaking are talked about in the outcome area of the paper. We tried three water tests from three diverse water sources, (for example, modern water, faucet water and pool water). Three water tests gathered from three distinctive swimming pools.(Except one example) Ph esteem found in rest of the examples were in typical range (temperature esteem between 26-27'C). Result segment (in page 20) clarifies our venture discoveries in subtleties.

IoT-Based Water Monitoring Systems: A Systematic Review

“…GSM: Three articles (n = 3) are included in this category. In the first article, a realtime IoT-based water quality monitoring system was developed using temperature, pH, turbidity, ultrasonic, and flow sensors [44]. In this system, Data are sent to a cloud via GSM installed in the Arduino in a text-based notification.…”

“…Moreover, the scarcity of the drinking water will result in the increase of water tariffs cost [16]. Contaminated drinking water is the main medium of transmitting serious diseases (e.g., diarrhea, typhoid, polio, cholera, and dysentery), which may cause serious health issues [31,44,48,50]. Also, the quality of aquaculture farms' production is affected large scale by the different water pollutions such as leakages in the sea and coastal discharges, and therefore, consumers' health is jeopardized [67].…”

“…The current distribution of water systems contribute to reducing the quality of drinking water due to pipes' erosion, pipes' breakdown, and interaction with pipe materials [33,49]. The procedure of distributing drinking water and water supply in urban areas is causing water supply tainting; whether incidental or intentional, which contributes to being a medium of transmitting microbes and bacteria and may cause serious health problems [44]. Also, with this procedure, drinking water is lavished in various ways such as wasteful use and poor water distribution [36].…”

“…Authors in [36] suggested that the water quality monitoring indicator database can be enlarged in the following step by increasing the number of water quality monitoring sensors to detect provide a comprehensive water quality indication. Authors in [44] discussed the future aspect of their implementation for future models by using flow sensors that could accurately measure up to 60 milliliters of water in place of the current model, which can only measure up to 30 milliliters of water. Authors in [58] mentioned their future steps by removing GSM hardware.…”