Fran López

Fran is a data scientist with expertise in developing and implementing artificial intelligence algorithms, including those based on machine learning and neural networks. He currently works in the R&D department of Accuro Technology in Spain, focusing on innovative AI projects. Fran holds a Master’s degree in artificial intelligence and a double degree in electronic engineering and automation, as well as electrical engineering. His experience is further enriched by international roles at companies such as Airbus and AGC Europe.

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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:

• How to combine technology for airport pavement monitoring and how this is reflected in the eCONPAVE project
• Define a new concrete construction process with embedded sensors (IoT)
• Obstacles encountered to define and innovate airport pavement management system for real-time decision making
• Results of the proof of concept built at Adolfo-Suárez Madrid Barajas Airport