The drink industry, as a primary consumer of refrigeration, is currently experiencing a notable digital transformation. This evolution surpasses conventional cooling needs to prioritize energy efficiency and environmental sustainability throughout the refrigeration process.
A novel refrigeration strategy demands the adoption of real-time data measurement and analysis systems. These systems facilitate cost optimization through continuous improvement initiatives, driven by predictive and optimization systems, enabling the execution of self-executing intelligent actions. This transition marks a departure from the traditional refrigeration model, characterized by data scarcity and extensive field maintenance, towards a model where 70% of actions are self-executing, promoting efficient energy management.
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