The meat industry, a primary user of refrigeration, is currently experiencing a significant digital transformation. This evolution extends its needs beyond simple cooling to emphasize energy efficiency and environmental sustainability throughout the refrigeration process.
The adoption of a new refrigeration strategy mandates the implementation of real-time data measurement and analysis systems. These systems facilitate cost reduction by enabling continuous improvement initiatives, driven by predictive and optimization systems that execute intelligent actions autonomously. This transition represents a departure from the traditional refrigeration model, characterized by limited data and extensive field maintenance, towards a model where 70% of actions are self-executing, promoting effective energy management.
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