24 January 2025
Projects
Since its inception, Sacyr iChallenges has brought to life remarkable projects around the world, leveraging disruptive technologies with the potential to optimize operations, improve safety, and drive sustainability across our infrastructure.
Our approach goes beyond ideas: we transform these proposals into business impact, new services, or even business models that create tangible results. Through open innovation and co-creation, we focus on solving real-world problems in real operational environments, turning collaboration into results.
Below is a selection of the standout solutions developed through the past editions of the platform.
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We use predictive models with artificial intelligence to optimise planning and reduce delays due to weather conditions in the development of our infrastructure.
We apply artificial intelligence in the San Antonio - Santiago Highway (Chile), to improve our operations and enhance road safety, through the analysis of our own data and that of external sources.
We performed bathymetric surveys in remote and difficult to access areas using drone technology in our Canal del Dique project.
We identify, quantify and eliminate microplastics present in our water flows at the Yecla WWTP.
The objective of the project is to optimize the use of electrical energy by means of artificial intelligence and Machine Learning algorithms in the Moncloa interchange facilities.
Design and implementation of a technological platform that allows us to automatically and reliably calculate the impact of our activities on natural capital.
A solar energy collection system has been implemented from flexible organic panels, on the roofs of Moncloa’s transport interchanger.
Solution focused on the anticipation of ground behavior, analyzing dozens of ground variables, rainfall and satellite radar, building static and dynamic models of geotechnical behave and predicting possible slope movements.
The carbon footprint associated with Sacyr’s main activities has been measured and reported while analyzing the data transmitted by suppliers in scenarios in Chile and Spain.
Tool based on big data for automated analysis of dozens of information sources and early identification of business opportunities.
We use artificial vision algorithms based on neural networks to count and classify vehicles in conditions of reduced visibility in order to reduce waiting times and improve safety in our tolls.
An IoT technology solution has been installed to monitor in real time the routines of dependent people belonging to the HAS (Home Assistance System) of Coslada (Madrid, Spain) in order to improve the quality of life of people in their own homes.
Artificial vision system for automatic detection of defects or cracks in the pavement and analysis of the condition of road signs.
Tool based on machine learning models for the prediction of the deterioration of roads’ pavement in the long term.
