MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland

Rajkamal Rajathanakodi; Muhammad Usman Hadi

doi:10.1109/ISSC61953.2024.10603132

MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland

Rajkamal Rajathanakodi
, Muhammad Usman Hadi

Ulster University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

149 Downloads (Pure)

Abstract

The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned Aerial Vehicle (UAV) targeting wide array of applications, encompassing search and rescue, surveillance, crowd monitoring, and environmental sensing. This paper focuses on the design and implementation of MAD-STORM, highlighting its environmental sensing for temperature, humidity, and rain detection. Leveraging internet connectivity, MAD-STORM facilitates real-time data streaming and analysis from a ground station, while also aligning with IoT principles to establish cloud connectivity. The inclusion of global positioning system modules aids in determining navigation coordinates, ensuring the precise execution of MAD-STORM activities. This paper offers a comprehensive overview of MAD-STORM's development stages, system design, hardware, software components, intelligent capabilities and challenges. The real-time demonstration video and detals for this work is available at https://www.ulster.ac.uk/research/topic/engineering/afmm/projects/madni.

Original language	English
Title of host publication	Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024
Editors	Huiru Zheng, Ian Cleland, Adrian Moore, Haiying Wang, David Glass, Joe Rafferty, Raymond Bond, Jonathan Wallace
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9798350352986
ISBN (Print)	979-8-3503-5299-3
DOIs	https://doi.org/10.1109/ISSC61953.2024.10603132
Publication status	Published online - 29 Jul 2024
Event	35th Irish Systems and Signals Conference, ISSC 2024 - Belfast, United Kingdom Duration: 13 Jun 2024 → 14 Jun 2024

Publication series

Name	Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024
ISSN (Print)	2688-1446
ISSN (Electronic)	2688-1454

Conference

Conference	35th Irish Systems and Signals Conference, ISSC 2024
Country/Territory	United Kingdom
City	Belfast
Period	13/06/24 → 14/06/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

Thanks to Ulster University’s Research Impact grant and Proof of Principle grant for the realization of this work

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 6 Clean Water and Sanitation
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

computer control systems
data acquisition
drone
power electronics
sensors

Access to Document

10.1109/ISSC61953.2024.10603132

MAD-STORM_UHAuthor Accepted Manuscript, 948 KB

Cite this

Rajathanakodi, R., & Hadi, M. U. (2024). MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland. In H. Zheng, I. Cleland, A. Moore, H. Wang, D. Glass, J. Rafferty, R. Bond, & J. Wallace (Eds.), Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024 (pp. 1-6). (Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024). Institute of Electrical and Electronics Engineers Inc.. Advance online publication. https://doi.org/10.1109/ISSC61953.2024.10603132

Rajathanakodi, Rajkamal ; Hadi, Muhammad Usman. / MAD-STORM : Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland. Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. editor / Huiru Zheng ; Ian Cleland ; Adrian Moore ; Haiying Wang ; David Glass ; Joe Rafferty ; Raymond Bond ; Jonathan Wallace. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1-6 (Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024).

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title = "MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland",

abstract = "The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned Aerial Vehicle (UAV) targeting wide array of applications, encompassing search and rescue, surveillance, crowd monitoring, and environmental sensing. This paper focuses on the design and implementation of MAD-STORM, highlighting its environmental sensing for temperature, humidity, and rain detection. Leveraging internet connectivity, MAD-STORM facilitates real-time data streaming and analysis from a ground station, while also aligning with IoT principles to establish cloud connectivity. The inclusion of global positioning system modules aids in determining navigation coordinates, ensuring the precise execution of MAD-STORM activities. This paper offers a comprehensive overview of MAD-STORM's development stages, system design, hardware, software components, intelligent capabilities and challenges. The real-time demonstration video and detals for this work is available at https://www.ulster.ac.uk/research/topic/engineering/afmm/projects/madni.",

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Rajathanakodi, R & Hadi, MU 2024, MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland. in H Zheng, I Cleland, A Moore, H Wang, D Glass, J Rafferty, R Bond & J Wallace (eds), Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 35th Irish Systems and Signals Conference, ISSC 2024, Belfast, United Kingdom, 13/06/24. https://doi.org/10.1109/ISSC61953.2024.10603132

MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland. / Rajathanakodi, Rajkamal; Hadi, Muhammad Usman.
Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. ed. / Huiru Zheng; Ian Cleland; Adrian Moore; Haiying Wang; David Glass; Joe Rafferty; Raymond Bond; Jonathan Wallace. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1-6 (Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rajathanakodi, Rajkamal

AU - Hadi, Muhammad Usman

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N2 - The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned Aerial Vehicle (UAV) targeting wide array of applications, encompassing search and rescue, surveillance, crowd monitoring, and environmental sensing. This paper focuses on the design and implementation of MAD-STORM, highlighting its environmental sensing for temperature, humidity, and rain detection. Leveraging internet connectivity, MAD-STORM facilitates real-time data streaming and analysis from a ground station, while also aligning with IoT principles to establish cloud connectivity. The inclusion of global positioning system modules aids in determining navigation coordinates, ensuring the precise execution of MAD-STORM activities. This paper offers a comprehensive overview of MAD-STORM's development stages, system design, hardware, software components, intelligent capabilities and challenges. The real-time demonstration video and detals for this work is available at https://www.ulster.ac.uk/research/topic/engineering/afmm/projects/madni.

AB - The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned Aerial Vehicle (UAV) targeting wide array of applications, encompassing search and rescue, surveillance, crowd monitoring, and environmental sensing. This paper focuses on the design and implementation of MAD-STORM, highlighting its environmental sensing for temperature, humidity, and rain detection. Leveraging internet connectivity, MAD-STORM facilitates real-time data streaming and analysis from a ground station, while also aligning with IoT principles to establish cloud connectivity. The inclusion of global positioning system modules aids in determining navigation coordinates, ensuring the precise execution of MAD-STORM activities. This paper offers a comprehensive overview of MAD-STORM's development stages, system design, hardware, software components, intelligent capabilities and challenges. The real-time demonstration video and detals for this work is available at https://www.ulster.ac.uk/research/topic/engineering/afmm/projects/madni.

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KW - sensors

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T3 - Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024

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BT - Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024

A2 - Zheng, Huiru

A2 - Cleland, Ian

A2 - Moore, Adrian

A2 - Wang, Haiying

A2 - Glass, David

A2 - Rafferty, Joe

A2 - Bond, Raymond

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Rajathanakodi R, Hadi MU. MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland. In Zheng H, Cleland I, Moore A, Wang H, Glass D, Rafferty J, Bond R, Wallace J, editors, Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 1-6. (Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024). Epub 2024 Jul 29. doi: 10.1109/ISSC61953.2024.10603132

MAD-STORM: Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall and Meteorology in Northern Ireland

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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