The award for Good Practices of Public Housing and Land Managers recognizes SCAMIA (System for Asset Control Through Artificial Intelligence), an innovative software that merges digital twins, IoT (Internet of Things) technologies, BIM (Building Information Modeling) models, and artificial intelligence.
SCAMIA's main objective is to transform data generated by buildings into valuable information to optimize maintenance, improve energy efficiency, enhance user comfort, and anticipate potential incidents through predictive maintenance.
The project's development is structured in several phases, including defining use cases, digitizing buildings with BIM models, installing IoT sensors and BMS systems, creating a management platform, integrating data, validating artificial intelligence models, and evaluating results.
SCAMIA stands out as a pioneering initiative by integrating technologies that usually operate independently into a single platform. Furthermore, it uses real buildings as experimentation laboratories, enabling the development of predictive models based on actual data.
This project is the result of close collaboration between the Rey Juan Carlos University, through the SmartE2 Chair, the Municipal Company of Housing and Land of Madrid (EMVS), and other consortium entities. URJC contributes research and technological development, particularly in AI and data analysis, while EMVS Madrid provides the buildings for testing and its expertise in managing the public housing stock.
The recognition at the AVS Awards represents a significant endorsement for the Rey Juan Carlos University and the SmartE2 Chair, consolidating their position in smart buildings, energy digitalization, and the application of AI to asset management. "This recognition consolidates the positioning of the SmartE2 Chair in the field of intelligent buildings, energy digitalization, and the application of artificial intelligence to the management of assets and infrastructures," highlights Cristina Rodríguez, director of the Smart E2 Chair.
From a research perspective, SCAMIA opens new opportunities for working with real data from pilot buildings, IoT sensors, BMS systems, BIM/GIS models, and operational records. The project also has a relevant impact on teaching and training, offering an ideal environment for developing final degree or master's projects.
This award not only recognizes an innovative technological solution for managing the public housing stock but also highlights the capacity of the URJC and the SmartE2 Chair to generate transferable knowledge, collaborate with public and private entities, and contribute to the digital and sustainable transformation of the building sector.
