Obiettivo
The impact of drones and its commercial applications is often being compared with the disruptive force of the IT revolution. Soon, clients in all areas of the economy will begin to see the impact of drones on their operational processes – from the way they inspect construction sites to the way they receive goods like parcels or blood supply. The global market for commercial applications of drones – in 2016 estimated at about EUR 1.9 bn – will rise to as much as EUR 118 bn by 2020. But the application of today’s drones is limited by a crucial weakness in technology: reach. Depending on the construction type, today’s comparable industry class electric drones cannot fly longer 2 hours. Short flight time is one key barrier for a widespread usage of drones. Especially the transport industry is dependent on longer distance flights.
At QLEX we developed the QLEX Creo – a winged drone that can takeoff and land vertically and achieve 4-5 hours of flight time. We achieved this breakthrough efficiency by completely rethinking the architecture, aerodynamics and propulsion systems of how drones can be built.
QLEX has been running for two years, but was a secret until now. We spent the last 24 months in stealth mode designing, prototyping and testing the Creo and forming a highly skilled and experienced team of leading experts and engineers and startup shaped business developers.
We now established our company, the QLEX GmbH, to assess the technological feasibility and commercial potential of the Creo.
One key objective of this project is a record-breaking proof of concept by carrying out a delivery from German mainland to remote island Helgoland and return in one non-stop flight. No competing solution is close of being capable of achiving this.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliscienze chimicheelettrochimicapile elettriche
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicaroboticarobot autonomidrone
- ingegneria e tecnologiaingegneria meccanicaingegneria dei veicoliingegneria aerospazialeaeromobiliaerogiro
- ingegneria e tecnologiaingegneria meccanicaingegneria dei veicoliingegneria aerospazialeingegneria aeronautica
- scienze socialigeografia socialetrasporti
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Programma(i)
- H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEINST-1-2016-2017
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
26123 OLDENBURG
Germania
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.