IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems

Hendriarianti, Evy and Soetedjo, Aryuanto (2021) IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems. International Journal of Intelligent Engineering and Systems, 14 (2). ISSN 2185-3118

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Official URL: DOI: 10.22266/ijies2021.0430.25

Abstract

This paper presents the Internet of things (IoT) technology for real-time monitoring of wastewater phytoremediation. Phytoremediation is a technique to remove pollutants from the wastewater using the plants. A conventional method to monitor the phytoremediation performance is by taking the samples of the contaminants from a site and measuring them at the laboratory. This method needs many works for data preparation and analysis. A recent development on the IoT technology may eliminate such tasks by a real-time monitoring system. In the proposed realtime monitoring system, several phytoremediation models are implemented on embedded hardware and connected to the Thingspeak IoT platform. The proposed system aims to provide a real-time monitoring system to better model the phytoremediation by examining the monitoring data time interval and fitting techniques. From the experiments, the proposed monitoring system achieves a data transfer reliability of 81.4% when the period of the data transmission is one minute, which is suitable for one-day interval real-time monitoring system. The proposed monitoring system can build a phytoremediation model using a polynomial fitting with a higher fit than the existing methods using an exponential fitting. Further, the proposed method promises a better solution in terms of the best model, the low cost, and the acceptable accuracy.

Item Type: Article
Uncontrolled Keywords: Phytoremediation, Internet of things, Mathematical model, Embedded systems.
Subjects: Engineering > Environmental Engineering
Divisions: Fakultas teknik Sipil dan Perencanaan > Teknik Lingkungan S1
Depositing User: Mr Sayekti Aditya Endra
Date Deposited: 15 Jun 2021 02:48
Last Modified: 17 Jun 2021 03:33
URI: http://eprints.itn.ac.id/id/eprint/5478

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