Digital twin technology for wildfire monitoring using UAV swarms

Lucio R. Salinas*, Georgios Tzoumas, Lenka Pitonakova, Sabine Hauert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Deploying aerial swarm robotic systems in real-life scenarios can be challenging. Using them to monitor wildfires requires the system to be easily used by a swarm operator. To achieve this with the minimum associated costs, advanced frameworks must be developed to optimise, monitor, and control the swarm in real time. One approach to achieve this is the creation of a digital twin where physical counterparts can be mirrored in a virtual world. Our aim was to create a digital twin to support and accelerate the design, testing and deployment of aerial swarms. Our framework is composed of the following main parts: a digital twin system for development and optimisation of swarm algorithms as well as real-time monitoring and control of swarm deployments; a cloud infrastructure to allow data passing between our system components; and a swarm of uncrewed aerial vehicles (UAVs). We developed a user interface that allows a swarm operator to define missions for a swarm to monitor areas in search for a digital wildfire. We tested our system in field trials using a mix of three physical and three digital aircraft. During the trials an operator was able to task the UAVs to perform autonomous search amongst three different search strategies, to stack at specific locations, and finally to land.
Original languageEnglish
Title of host publication2023 International Conference on Unmanned Aircraft Systems (ICUAS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages586-593
Number of pages8
ISBN (Electronic)979-8-3503-1037-5
ISBN (Print)979-8-3503-1038-2
DOIs
Publication statusE-pub ahead of print - 26 Jun 2023

Publication series

NameConference proceedings (International Conference on Unmanned Aircraft Systems)
ISSN (Print)2373-6720
ISSN (Electronic)2575-7296

Bibliographical note

Funding Information:
This work was supported by Innovate UK under grants 75392 and 10023377. The authors would like to thank Windracers Ltd. and Distributed Avionics Ltd. for their technical support along with all the people who were involved in this project, especially Alex Horlock, Jonathon Waters and Tom Reed.

Funding Information:
This work was supported by Innovate UK under grants 75392 and 10023377.

Publisher Copyright:
© 2023 IEEE.

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