Design of a Solar-Powered Remote-Controlled Aquatic Cleaning Drone

The Remote-Controlled Solar Lake Pool Cleaner Drone is an innovative solution designed to automate the cleaning process of large bodies of water, such as lakes and pools, using renewable solar energy. This drone combines the advantages of remote control functionality, efficient cleaning mechanisms, and environmentally friendly power sources to provide an effective and sustainable solution for maintaining water cleanliness. The drone is equipped with advanced cleaning mechanisms, including a suction system and a brush mechanism, capable of efficiently removing debris, leaves, and algae from the water surface. Its remote-control capabilities allow operators to maneuver the drone effortlessly, enabling precise navigation and targeting specific areas requiring cleaning.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/icidea64800.2025.10963220
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.82
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Design of a Solar-Powered Remote-Controlled Aquatic Cleaning Drone

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Design of a Solar-Powered Remote-Controlled Aquatic Cleaning Drone

Soumyadip Mandal, Devashish Singhania, Babita Panda, Chitralekha Jena, Ankit Kumar, Madhumita Nandi, Sunita Pahadsingh
article en
1 citations

Abstract

The Remote-Controlled Solar Lake Pool Cleaner Drone is an innovative solution designed to automate the cleaning process of large bodies of water, such as lakes and pools, using renewable solar energy. This drone combines the advantages of remote control functionality, efficient cleaning mechanisms, and environmentally friendly power sources to provide an effective and sustainable solution for maintaining water cleanliness. The drone is equipped with advanced cleaning mechanisms, including a suction system and a brush mechanism, capable of efficiently removing debris, leaves, and algae from the water surface. Its remote-control capabilities allow operators to maneuver the drone effortlessly, enabling precise navigation and targeting specific areas requiring cleaning.

KIIT University (IN)
Openalex Percentile: Top 27%
Water Quality Monitoring Technologies
0.82
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