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PRM / New EU research project: Swarms of drones to ensure safe bridges and railways across Europe

14. juni 2020 06:00 | Af: Ritzau Info
 

With more than one million bridges and nearly 210 thousand kilometers of railway across Europe, unnoticed cracks and faults can easily lead to disasters such as the 2018 Genoa bridge collapse. A Euro3,5 million research project under the Horizon 2020-programme will now develop an advanced drone system, which continuously monitors the status of infrastructure and reports back if something needs repair

Pressemeddelelse fra Syddansk Universitet

By Jane Thoning Callesen, jtca@mmmi.sdu.dk

When the Morandi Bridge in Genoa, Italy, collapsed in August 2018, 43 people lost their lives. Three weeks later, the European Commission called for researchers to develop applications of drones to ensure safety in transport.

Now, €3,5 million has been granted to a research project called Drones4Safety. Starting today, a consortium of researchers aims to develop a system of autonomous, self-charging, and collaborative drones that can inspect infrastructures such as bridges and railways in continuous operation without direct human involvement.

Whereas the current inspection solutions are carried out by helicopters, the drone system is expected to achieve higher accuracy, reduced time and cost, and improved safety.

Drones will feed themselves from power cables

Nine partners from across Europe are involved in the project, which is coordinated by associate professor Emad Samuel Malki Ebeid from the Mærsk Mc-Kinney Møller Institute (MMMI) at the University of Southern Denmark.

– We want to create a system where swarms of drones monitor infrastructure almost by themselves and report back if they notice any problems, Emad Samuel Malki Ebeid says.

– But just like phones, drones need to charge regularly, so we must come up with a solid plan for energy harvesting.

Preliminary research has shown that 71 percent of Europe’s bridges are within three kilometers distance from high voltage power cables, and those cables can potentially be used for self-charging. The drones will also be able to “eat” from the rail cables when inspecting rails.

Comparable to a flock of birds

– You can compare the system to a flock of birds, Emad Samuel Malki Ebeid says with a smile.

– If we can get our ‘drone birds’ to eat from the power cables, they will have the energy to fly out and monitor the terrain. We will equip them with a camera, so they can see how things stand, and through artificial intelligence, we will teach them to recognize faults and cracks. Our drone birds will fly in flocks and cooperate by using geo-tracking, and then they are to notify us if something needs to be repaired.

– Drones hold so much potential, and we are interested in exploring the possibilities of energy harvesting, says Gerd Vom Bogel, dr.ing. from Fraunhofer IMS, one of the project partners.

– This project is a big step to the future, and our anticipated results on both energy harvesting, artificial intelligence, and swarm systems will likely be useful to many other application areas.

New algorithms to be developed

Teaching the drones on how to communicate with each other and work as a team will be another main challenge. Rune Hylsberg Jacobsen, associate professor from the Department of Engineering at Aarhus University, Denmark, explains how important it is for the drones to be able to cooperate on missions, work towards the same goals, and adjust to changes:

– Just like birds, the drones will each have different roles. That requires a lot of new algorithms and research, which we’re happy to contribute with. It’s great to work on such an innovative project with skilled partners from all over Europe, he says.

The artificial intelligence will partly be provided by Delair, a technology enabler providing visual intelligence solutions for enterprises.

– By contributing our AI platform to the Drones4Safety project, we look forward to paving the way for developing new advanced AI based analytics for the railways and roads market, says Paolo Guzzini, Senior Product Manager Infrastructures at Delair.


Supports the UN Goals

The project supports the UN’s Sustainable Development Goals on infrastructure and sustainable cities, and data suggests that the use of drones will reduce inspection costs by €15 billion annually.

Apart from MMMI and IMADA at the University of Southern Denmark, Aarhus University, Fraunhofer, and Delair, the project will be carried out in close collaboration with EUCentre, NEAT SL, Automotive & Rail Innovation Center, Deep Blue SRL, and Eurocontrol.

Starting in Italy, the consortium aims to conduct the first automatic drone inspections by the beginning of 2022.

– We aim to create a system that saves time and cost and ensures consistent and sustainable inspection. But most importantly, the system can potentially prevent disasters like the one we saw in Genoa, and that is a big motivation for all of us, concludes Emad Samuel Malki Ebeid.

About Drones4Safety

Drones4Safety is a major European research project under the Horizon2020-program. With a grant of €3,5 million, researchers will develop an autonomous drone system that can monitor infrastructures such as bridges and railroads. The project will run from 2020-2023.

There are five main objectives in the Drones4Safety-project: To develop a solution for energy harvesting, to increase inspection efficiency by developing AI algorithms, to provide a platform for collaborative drone operations, to develop a failsafe inspection drone, and to build a cloud-based AI system for autonomous navigation.

Kontakt:

For more information, footage, video, or interview requests, please contact communication manager Jane Thoning Callesen at jtca@mmmi.sdu.dk or phone +45 93507540

Læs hele pressemeddelelsen på Via Ritzau her: https://via.ritzau.dk/pressemeddelelse/new-eu-research-project-swarms-of-drones-to-ensure-safe-bridges-and-railways-across-europe?releaseId=13595099

** Ovenstående pressemeddelelse er videreformidlet af Ritzau på vegne af tredjepart. Ritzau er derfor ikke ansvarlig for indholdet **

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