The Fondef IT23I0058 grant, titled “Cloud Application for Real-time Estimation of the Penalty Factors in the National Power System”, is a 2-year collaborative effort that focuses on developing a learning-based mechanism for calculating the penalty factors in the Chilean power system. This project will be conducted in collaboration with the Coordinador Eléctrico Nacional.
The Fondef ID23I10206 grant entitled “Modular Cloud-based Industrial Cyber-Physical System for Next Generation Industry 4..0 Applications”, is a 2-year collaborative effort that focuses on developing next-generation industrial control systems that can operate from the cloud. As part of the project, we will deploy a pilot instance in the processing plant of San Pedro mining company.
The Fondecyt 1211294 grant (2021-2024) entitled “Age of information as design metric for ioT-based networked control systems” focuses on the design of age-aware controllers for future generation industrial wireless control loops.
Our Anillo project “Industrial cyber-physical systems for smart mining” was selected for funding by CONICYT in its 2019 Anillos de investigación en ciencia y tecnología contest. The 3 years project, with an approved budget of USD$750.000, focuses on developing the next generation of control systems for mining operations, with emphasis on the operation of power […]
Our project “Early-warning system for drinkable water systems in urban areas” has been selected for funding by Corfo in its Bienes Publicos contest. The 33 months project focuses on developing an operational tool for inspectors to optimize their rounds by inspecting on-demand upon the occurrence of an event.
Our Fondef project “Big-data Platform for Operational Intelligence: Application to Chuquicamata’s Refinery” has been selected for funding in the 2nd Mining Technological Research Program. The 18 months project focuses on developing a set of data-driven models to support the operation of Chuquicamata’s Refinery.
Our Fondef project “Supervision and Optimizing Control of Tailing Dams using Emergent Technologies” has been selected for funding in the 1st Mining Technological Research Program. The 24 months project focuses on developing control strategies for optimizing the production and disposal of paste tailings. The research team is directed by Professor Nuñez and includes researchers from […]