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2023 | OriginalPaper | Chapter

Development of IOT-Based Hybrid Helium Drone for Flight Time Enhancement

Authors : S. N. Waghmare, S. D. Shelare, N. P. Mungle, K. R. Aglawe

Published in: Proceedings of International Conference on Intelligent Manufacturing and Automation

Publisher: Springer Nature Singapore

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Abstract

Drones, also called as unmanned aerial vehicles (UAVs) which are more popular in a various industries. It is growing continually in all round the world. Today, unmanned aerial vehicle (UAV) technology is in high demand across a range of industries, from the military and the government to the private sector and the media (like tracking, monitor, surveying, watching, testing, observing, sampling, controlling, guarding, search, checking, rescue, monitoring, environmental surveillance, and entertainment). This study proposes the use of a newly developed design for a hybrid helium drone based on the Internet of Things in order to increase the drone's flying duration. The goal of this article is to use cutting-edge technology to demonstrate the viability and use of drones. In the first place, there is the present drone literature, from which we may learn about the capabilities and limitations of the technology as it is. The paper's most crucial section focuses on the drone's design, electrical system, and IoT technologies. The drone's Internet connection opens up a world of IoT possibilities. An updated design concept for a helium-assisted compound drone is proposed to extend the duration the drone can stay in the air and allow it to fly at high speeds in both the vertical and horizontal planes. The compound drone's principal design goal is to be inexpensive for the end user, and its many advantages among them ease of production and relative cheapness compared to other kinds of drones make this possible. To authenticate the effectiveness of the present design, practical experiments were conducted.

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Title: Development of IOT-Based Hybrid Helium Drone for Flight Time Enhancement
Authors: S. N. Waghmare
S. D. Shelare
N. P. Mungle
K. R. Aglawe
Publisher: Springer Nature Singapore
Book: Proceedings of International Conference on Intelligent Manufacturing and Automation
Print ISBN: 978-981-19-7970-5

Electronic ISBN: 978-981-19-7971-2

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-7971-2_32

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