The fishing industry is one of the primary consumers of refrigeration needs and it is currently undergoing a significant digital transformation, wherein its requirements extend beyond mere cooling to encompass the imperative of maximizing energy efficiency and environmental sustainability throughout the refrigeration process.
The new refrigeration strategy necessitates the implementation of a real-time data measurement and analysis system. This system enables cost optimization through continuous improvement actions facilitated by the development of predictive and optimization systems, utilizing the execution of self-executing intelligent actions. This shift allows for departure from the traditional refrigeration model, characterized by a lack of data and 100% field maintenance, towards a refrigeration model where 70% of actions are self-executing, with efficient energy management.
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