This presentation examines the integration of industrial hardware and cloud-based analytics to enable intelligent monitoring of commercial refrigeration assets. By transforming refrigerators into continuously connected data sources, parameters such as geolocation, thermal performance, operational status, and usage patterns become accessible in real time and at scale.
The session explores how structured data acquisition combined with analytical models allows the identification of deviations, behavioural patterns, and risk conditions across distributed refrigeration networks. These insights support predictive and preventive maintenance strategies, improving asset reliability while reducing unplanned downtime and maintenance costs. Traceability is also addressed, from manufacturing t ...