IoT and AI for predictive management of concrete pavement
The purpose of the eCONPAVE project is to develop an experimental prototype as an intelligent tool for the management of airport pavements. The tool will be capable of making its own decisions based on real-time data obtained from sensors embedded in the materials or placed during the construction process. The main aim is the creation of a new airport pavement management system that will facilitate decision-making based on the different parameters and variables that have an impact on the pavement performance model, replacing or complementing the current inspections. A proof of concept is being built in Adolfo-Suárez Madrid Barajas Airport in January 2025.
The audience will learn:
Unleashing drone potential for airport management
This presentation will delve into the innovative projects conducted by AENA, showcasing how drone technology has been integrated into both airside and landside operations to enhance airport management. This will include the challenges encountered and the additional platforms required beyond the drones themselves, as well as examples of the tests conducted. Specific use cases to be covered include infrastructure inspection, runway, and taxiway inspection/PAPI calibration. The presentation will additionally cover how to address the introduction of drones as a tool within an airport network.
The audience will learn:
