Projects

Description

APOGEOPIA is an R&D project aimed at developing an expert system to optimize solid bulk port operations, prioritizing the minimization of their impact on air quality. The core of the system integrates three key capabilities: (1) autonomous identification of operational activities through deep computer vision, (2) short-term evolutionary prediction of the National Air Quality Index (INCA), and (3) a digital twin that generates scenarios—using generative AI—and recommends operational measures based on explainable AI.

The APTICA–UPM consortium combines software development and data engineering with cutting-edge AI research to translate these capabilities into a validated, deployable product. The project will be validated in the living lab of the Port of Almería—equipped with a network of environmental sensors and cameras—and the digital twin will be fed with real data to anticipate pollution episodes and propose actions (e.g., rescheduling, dust suppression through watering, loading pauses, etc.) to optimize port operations and improve air quality.

Keywords:

• Digital Twin.
• Characterization of port operations using computer vision.
• Air quality prediction.
• Optimization of port operations.

Funded by: Ministry of Science, Innovation and Universities (CPP), NextGenerationEU, and the Recovery, Transformation and Resilience Plan.