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Transformative Digital Air Vehicle with IoT Sensors for Safer Urban Skies

Objective

AVATAR is dedicated to developing a digital twin platform to enable continuous monitoring of the vehicle during its service life for the purpose predictive maintenance. AVATAR’s digital twin model acts in parallel to the real structure and provides, where necessary, an early warning of operational behaviour that deviates from expected (simulated). Additionally, by recording the actual load spectrum that each air vehicle experiences during every flight, it will optimize the individual service life, which contributes towards a sustainable air mobility. AVATAR’s will contribute to an increase safety of urban skies and has the potential to optimise the design and performance of air vehicles by providing real load data for each vehicle. The IoT sensing skin proposed by AVATAR is a key enabler for real-time critical operational information acquisition and connectivity between the physical aircraft and the digital counterpart through wireless communication. AVATAR DT platform will provide a seamless integration of IoT, big data and machine learning to collect, compute and predict. AVATAR will conform to the modern approach towards developing a digital twin based on different types of data and advanced analytical methods which eliminates the need for the real air vehicle and the virtual models to be directly connected and builds this connection through ML and AI. AVATAR contributes to the acceleration of digital transformation of air mobility, particularly in urban setting.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

(opens in new window) HORIZON-CL5-2022-D5-01

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Coordinator

EVEKTOR SRO
Net EU contribution
€ 873 641,25
Address
LETECKA 1008
686 04 Kunovice
Czechia
Region
Česko Střední Morava Zlínský kraj
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 873 641,25

Participants (4)

Partners (2)