Discover the Digimatria project - Predictive maintenance for industrial buildings

Discover the Digimatria project - Kick-Off meeting with Garcia, Gar.com, ISEP e INESC-TEC

What is the Digimatria project?

The DigiMaTRIA project proposes a holistic approach to the maintenance of industrial assets. Our main objective is to develop a Digital Twin platform to act as the primary decision support tool for maintenance managers. The Consortium and Project Architecture Led by Garcia, Garcia, a construction company specializing in the industrial sector, this consortium brings together industry and science—with ISEP, INESC TEC, and Gar.com —to develop technologies that integrate the physical asset, the virtual model, and the digital platform, creating a continuous information cycle that supports more informed maintenance decisions. From Inspection to Action Traditional maintenance approaches are being replaced by condition-based predictive maintenance, requiring a digital transformation in maintenance management, supported by digital technologies. The DigiMaTRIA service begins with the collection of industrial asset data using drones with advanced sensors and an IoT network of static sensors that continuously monitors the environmental and structural conditions of the building. The collected information is processed by an artificial intelligence system that, through deep learning, detects and maps anomalies with high precision, predicting the evolution of asset degradation and allowing for the optimization of maintenance interventions. Milestones and Closure The DigiMaTRIA project launch meeting took place on March 27, 2025. With this kick-off, we began a 3-year journey where we will work to validate our solutions in real buildings. DigiMaTRIA promotes a sustainable future, combining digitalization and technological innovation to extend the lifespan of industrial assets.

Financing

DigiMaTRIA - Digital Management of Industrial Asset Maintenance using Robotics and Artificial Intelligence.

Project funded under NORTE 2030 and FEDER, designated NORTE2030-FEDER-00587800, with funding of €989,488.32.