Descripción del proyecto
Los drones se preparan para inspeccionar puentes y ferrocarriles
Ya se usan drones para inspeccionar carreteras y ferrocarriles. Expertos industriales, de investigación y académicos dedicados a la inspección de infraestructuras, la recolección de energía, la inteligencia artificial, las comunicaciones y la tecnología de drones unen fuerzas para ayudar a mejorar la seguridad del sistema de transporte civil europeo. En el proyecto Drones4Safety, financiado con fondos europeos, trabajan en la construcción de un sistema de drones cooperativo, autónomo, autorrecargable y de funcionamiento continuo para realizar inspecciones autónomas, precisas y frecuentes de las infraestructuras de transportes. Este nuevo sistema se pondrá a disposición de operadores ferroviarios y de puentes para labores de supervisión remota del estado de infraestructuras y de generación de informes en caso de detectar algún defecto. El proyecto empleará mapas satelitales y abiertos, y desarrollará y mejorará algoritmos de inteligencia artificial (IA) para optimizar los resultados de las inspecciones. Las conclusiones de Drones4Safety se presentarán a los operadores de transporte en forma de servicios de «software» y de sistemas de «hardware» de drones.
Objetivo
The Drones4Safety project aims to increase the safety of the European civil transport system by building a cooperative, autonomous, and continuously operating drone system that will be offered to railway and bridge operators to inspect their transportation infrastructure accurately, frequently, and autonomously. The Drones4Safety approach will design energy harvesters to tap energy from the overhead electricity infrastructures of railways and power lines to recharge drones. The project will use satellite and open maps to identify the parts of the transport infrastructure that lays near the electricity infrastructure and feed that information to its drones for scheduling their autonomous missions. The project will develop and improve the state-of-the-art artificial intelligence algorithms to optimize the inspection results onboard of the drone. The project will build a swarm drone system that uses advanced low power long range communication network techniques to inspect different parts of the infrastructure at the same time. Navigation based on advancements in EGNOS/Galileo GNSS will improve accuracy og geo-location of inspection events. The project’s outcomes will be offered to the transportation operators in forms of software services and hardware drone system.
The project brings together leading industrial, research, and academic experts in infrastructure inspection, energy harvesting, artificial intelligence, communications, and drone technology. Two use cases for bridge and railway inspections will be conducted to evaluate the project outcomes.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencessoftware
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-MG-2019-TwoStages
Régimen de financiación
RIA - Research and Innovation actionCoordinador
5230 Odense M
Dinamarca