IoT and ML Based Monitoring of Urban Wastewater System

International Journal of Electronics and Communication Engineering
© 2020 by SSRG - IJECE Journal
Volume 7 Issue 6
Year of Publication : 2020
Authors : Jacob Paul P, Ashok T, Arun A, Dr. Nirmala Devi
How to Cite?

Jacob Paul P, Ashok T, Arun A, Dr. Nirmala Devi, "IoT and ML Based Monitoring of Urban Wastewater System," SSRG International Journal of Electronics and Communication Engineering, vol. 7,  no. 6, pp. 17-22, 2020. Crossref,


The product mainly focuses on monitoring water quality (urban city wastewater) for agriculture purposes. Various water parameters such as pH, temperature, electrical conductivity, dissolved oxygen, turbidity, and color are considered for monitoring the water quality and the quantity of water. The location of the setup will also be recorded in the cloud. The nominal range in which various water parameters must be present to make the water suitable for agriculture was collected from the FAO website. The algorithm used is a Decision tree classifier (Machine Learning). A comparison between the observed value and the nominal range is made and can be viewed on the website and a mobile app that we developed. Both the website and the mobile app will display the harmful effect if the unsuitable water and the necessary steps to be taken to treat the water. The website and the mobile app are also available in different languages other than English, such as Hindi and Tamil. If toxic water suddenly comes, the motor will be switched off automatically, and an alert message will be sent to the end-user stating, “There was a sudden inflow of toxic water, and so the motor has been switched off.” Later the end-user can turn on the motor just by clicking a button in the mobile app.


Alarm alert system, Decision tree classifier (Machine Learning), Geotagged Sensors.


[1] Yue, R.,&Ying, T.(2011) –“A water quality monitoring system based on wireless sensor network & solar power supply.” 2011 IEEE international conference on cyber technology in automation, control, and intelligent systems.
[2] NivitYadav, “CPCB Real-time Water Quality Monitoring,” Report: Center for Science and Environment,2012
[3] K. Muller, P. Corne - Journal of Water Reuse and Desalination (2016).
[4] Das, B., & Jain, P. C. (2017). “Real-time water quality monitoring system using Internet of things.” 2017 International Conference on Computer, Communications and Electronics (Comptelix).doi:10.1109/comptelix.2017.8003942
[5] ESP8266 serial Wi-Fi Wireless Transceiver Module for IoT, ESPRUINO-Wireless.
[6] Brinda Das and P.C. Jain, “Real-Time WaterQuality Monitoring System using Internet of Things,” 2017 IEEE International Conference on Computer, Communications and Electronics (Comptelix), July 01-02, 2017.
[7] WHO, “Guidelines for drinking-water quality,” 2011,−guidelines−4/en/. Last accessed on May 31, 2016.
[8] Kumar Koditala, N., &ShekarPandey,P.(2018). Water Quality Monitoring System Using IoT and Machine Learning. 2018 International Conference on Research in Intelligent and Computing in Engineering(RICE).doi:10.1109/rice.2018.8509050
[9] “Application of Wireless Sensor Network in Water Quality Monitoring,” Yang Xu; Fugui Liu, 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Year:2017, Volume:2
[10] “Towards an IoT-based water quality monitoring system with broker less pub/sub architecture,” Alif Akbar Pranata; Jae Min Lee; Dong Seong Kim,2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Year: 2017
[11] “Smart water quality monitoring system,” A. N. Prasad; K. A. Mamun; F. R. Islam; H. Haqva,2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Year: 2015
[12] Hussain A. Attia and BezaNegashGetu, “Design and Simulation of RemotelyPowerController,” International Journal of Applied Engineering Research (IJAER), 10 (12), 2015, pp. 32609-32626.
[13] Indira R, Bhavya G, DhevaDharshini S, Devaraj R” IOT Asset Tracking System” SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), volume 3 Issue 11–November 2016.