Edge computing in environmental science: automated intelligent robotic platform for water quality assessment

Main Article Content

Andrii G. Tkachuk
https://orcid.org/0000-0003-2466-6299
Mariia S. Hrynevych
https://orcid.org/0000-0001-9183-5211
Tetiana A. Vakaliuk
https://orcid.org/0000-0001-6825-4697
Oksana A. Chernysh
https://orcid.org/0000-0002-2010-200X
Mykhailo G. Medvediev
https://orcid.org/0000-0002-3884-1118

Abstract

This paper introduces a novel intelligent robotic platform designed to expedite and enhance the process of water quality assessment and bottom relief analysis in reservoirs. The platform, equipped with an array of sensors and actuators, is capable of conducting comprehensive studies over larger areas of the reservoir, thereby overcoming the limitations of traditional water analysis methods. The platform’s advanced design includes a control board, servo motors, a brushless motor, a radio module, a GPS module, and a motor speed controller, all housed within a robust casing. The paper presents a functional diagram of the platform and discusses the results of a system study conducted on a reservoir. The study aimed to verify the system’s operation, evaluate the effectiveness of the research conducted, and calibrate water quality sensors. The platform utilizes an ultrasonic sensor for depth measurement and sensors for water acidity and temperature. The results of the monitoring system experiments led to the creation of a detailed map of the reservoir’s bottom area and provided valuable insights into water quality.

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How to Cite
Tkachuk, A.G., Hrynevych, M.S., Vakaliuk, T.A., Chernysh, O.A. and Medvediev, M.G., 2023. Edge computing in environmental science: automated intelligent robotic platform for water quality assessment. Journal of Edge Computing [Online], 2(2), pp.163–174. Available from: https://doi.org/10.55056/jec.633 [Accessed 24 May 2024].
Section
Articles
Author Biography

Tetiana A. Vakaliuk, Zhytomyr Polytechnic State University

 

 

How to Cite

Tkachuk, A.G., Hrynevych, M.S., Vakaliuk, T.A., Chernysh, O.A. and Medvediev, M.G., 2023. Edge computing in environmental science: automated intelligent robotic platform for water quality assessment. Journal of Edge Computing [Online], 2(2), pp.163–174. Available from: https://doi.org/10.55056/jec.633 [Accessed 24 May 2024].
Received 2023-09-14
Accepted 2023-11-19
Published 2023-11-19

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