IoT Based Smart Water Quality Monitoring and Prediction System 
Prashant Kamidi1, Vamshi Krishna Sabbi2, Ramakrishna Sanniti3
1Prashant Kamidi, Department of Electronics and Communication, Godavari Institute of Engineering and Technology, Rajahmundry (A.P), India.
2Vamshi Krishna Sabbi, Department of Electronics and Communication, Godavari Institute of Engineering and Technology, Rajahmundry (A.P), India.
3Ramakrishna Sanniti, Department of Electronics and Communication, Godavari Institute of Engineering and Technology, Rajahmundry (A.P), India.
Manuscript received on 27 August 2019 | Revised Manuscript received on 03 September 2019 | Manuscript Published on 14 September 2019 | PP: 484-489 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E11020785S319/19©BEIESP | DOI: 10.35940/ijeat.E1102.0785S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Artefacts, Framework, Feature Extraction, Ontology, Query Processing.
Scope of the Article: IoT