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

	Text 2021043025_paper.pdf Download (420kB)
	Text IoT Based Real-Time Monitoring of Phytoremediation of Wastewater using the Mathematical Model Implemented on the Embedded Systems (1).pdf Download (2MB)
	Text 3.b.1.pdf Download (1MB)

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

Actions (login required)

View Item