During 2025, the ViCold.AI project has continued its development with major advancements aimed at improving the energy efficiency of industrial refrigeration facilities through the use of artificial intelligence and advanced communications.
The work carried out throughout the year has focused on deepening the understanding of the real behavior of this type of facility, as well as establishing the necessary technological bases for the system to analyze, learn, and evolve progressively in industrial environments.
Understanding the Energy Behavior of Facilities
One of the main focuses of work during 2025 has been the analysis of the energy behavior of industrial refrigeration facilities under different operating conditions. This analysis is key to identifying how multiple factors — such as thermal load, ambient conditions, or operating modes — influence overall energy consumption.
Based on this study, the foundations have been laid for the system to recognize operating patterns, detect recurring behaviors, and lay the groundwork for future energy optimization processes based on real operational data.
Learning and Preparation for Smart Optimization
In parallel, progress has been made in defining models that will allow the system to learn from the facility’s historical behavior. This approach enables the solution not to be limited to a point-in-time analysis, but to continuously evolve as more information and operational experience become available.
The ultimate goal of these developments is for artificial intelligence to support decision-making, anticipating operational deviations and proposing improvements aimed at increasing system efficiency and stability.
Data Infrastructure and Industrial Communications
Another key aspect addressed during the year has been the consolidation of a data acquisition and management architecture adapted to industrial environments. For a smart system to be effective, it is essential that information from control systems arrives in a structured, reliable, and secure manner.
In this regard, work has been done on defining communication mechanisms and data organization that allow their subsequent exploitation by advanced algorithms, guaranteeing system scalability and its integration with existing industrial infrastructures.
A Project Focused on Efficiency, Sustainability, and Continuous Improvement
The progress achieved during 2025 reinforces ViCold.AI’s approach as a solution oriented towards the continuous improvement of energy performance in industrial refrigeration facilities. The combination of automation, data analysis, and artificial intelligence allows moving towards more efficient, sustainable operating models adapted to the real needs of each facility.
From Vidal Automatización y Control, S.L., we continue to bet on technological innovation applied to the industrial field, aiming to develop solutions that provide real value, optimize resources, and contribute to a more efficient use of energy.
