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The Internet of Refrigeration

Dean Landeche_Blog Dean Landeche | V.P. of Marketing , Retail Solutions

Emerson Commercial & Residential Solutions

I contributed to an article published in Condenser magazine. The focus of the piece was to analyze how networked equipment is aiming to improve safety and operations.

 The Internet of Things – an increasingly massive network of electronically connected systems, devices and people that enables cross-platform data sharing – is creating a large, connected ecosystem across many industries, including refrigeration.

woman choosing ice cream at grocery store freezer

There is continuing growth in remote monitoring with all types of refrigeration equipment, driven largely by the need to safeguard consumers and food, manage energy use, and provide a consistent, effective maintenance program.

Retail groceries have long recognized the importance of connected refrigeration systems, and have high adoption rates of connected devices. Previously, the primary focus was operating alerts and alarms to indicate problems. Now with more points of connection, more sophisticated data from embedded sensor and controllers and advanced analytics capabilities in the ‘big data’ world, the focus has changed to creating more insights that drive specific decisions and actions.

There is much more interest and use of information to prompt action in advance, based on opportunities and trends identified in data patterns rather than reacting to failure modes and alerts. Applied at the system, site and enterprise levels, those types of insight-driven actions have huge implications for cost-saving, labor productivity, maintenance improvement, food safety and more.

Through remote monitoring, equipment owners and their service providers can often detect problems, as they emerge rather than after-the-fact in an emergency breakdown. Major food safety risk and food loss is often avoided, and system operation can be maintained through proactive efforts. The adoption of remote monitoring for refrigerant leak detection is also becoming more common. Advanced data can often identify small leaks up to 30 days prior to discovery by leak detectors.

Today’s smarter systems are making it easier, faster, and highly reliable to implement equipment monitoring and performance processes.

Read the full article here.

 

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