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Posts tagged ‘technologies’

The Path From IIoT to Predictive Maintenance for Commercial Refrigeration

JohnWallace_Blog_Image John Wallace | Director of Innovation, Retail Solutions

Emerson Commercial & Residential Solutions

Emerson is writing a series of articles about the implications of new and transformative technologies for the commercial refrigeration industry. In our first article, I described the challenges and methodologies related to transforming a newfound wealth of data into true predictive maintenance capabilities. You can read the full article here.

 

One trend driving the commercial refrigeration industry’s rapid adoption of Industrial Internet of Things (IIoT) technologies is the promise of predictive maintenance. Collecting massive amounts of real-time data comes with the potential to develop data-driven algorithms that can accurately predict looming problems and failures in refrigeration systems and equipment.

In the commercial refrigeration space, operators’ goals related to predictive maintenance are to reduce energy savings, lower maintenance and service costs, improve food quality and safety (and indirectly, customer experiences), increase comfort, and reduce downtime. So as IIoT technologies become more affordable, widely deployed and interconnected, a question naturally arises: “When will we see the results of these predictive maintenance capabilities?”

It’s a fair question. After all, some industries, such as industrial automation, are seeing rapid advances in their predictive maintenance capabilities. But many of these industries also have an inherent advantage: they’re often monitoring identical devices with well-defined historical performance models, making early problem detection relatively easy.

However, commercial refrigeration is a different ballgame. Commercial refrigeration applications are diverse and complex, making the development of their predictive maintenance capabilities far more challenging. Commercial refrigeration systems consist of many diverse and interdependent components, which often originate from multiple vendors. They encompass a wide range from traditional centralized direct expansion systems to an ever-expanding array of emerging architectures designed to achieve very specific operational (and more often, sustainability) objectives. Industry trends further complicate the issue, such as the adoption of new refrigerants and the migration from centralized to distributed, self-contained and integrated systems.

These complex systems differ in the amount, type and quality of the data they can provide — making data modeling and writing algorithms for different equipment even more difficult. Add more variables into the mix, such as weather, humidity and climate — not to mention widely varying operator goals, processes and workflows — and you can start to comprehend the depth of the challenge.

Developing predictive maintenance capabilities for commercial refrigeration is not a matter of simply pouring more data into the cloud via the IIoT. That data is as diverse as the equipment and systems which produce it. Determining the predictive potential of all that data requires fundamentally changing how we understand and approach the needs of the commercial refrigeration industry.

At Emerson, we’re tackling this challenge head on, taking a methodical, deliberate approach to predictive maintenance. Our goal is not to simply throw more IIoT technologies at the challenge. We’re working to help deliver on the promise of predictive maintenance by applying our deep knowledge of the commercial refrigeration space to help operators uncover the predictive value of data gathered from many different applications. By doing so, we’re simplifying the complexities and uncovering insights into the industry’s most common refrigeration scenarios.

We’re deriving predictive maintenance solutions from IIoT data via a three-pronged methodology: 1) understand the complexity of the domain and its individual systems; 2) define what data is relevant to which situations; and 3) determine how application sensors should be used to generate the necessary data. Then we can take the crucial step of developing tools to extrapolate true predictive maintenance answers from real-time and historical data.

In upcoming articles, Emerson will expand on these learnings and provide examples of how new technology is already being used for successful predictive maintenance programs in commercial refrigeration.

HVACR Contractors Discuss the Potential of New Technologies

BobLabbett_Blog Bob Labbett | V.P. – Aftermarket Distribution, Cold Chain

Emerson Commercial & Residential Solutions

At a recent E360 Breakfast, Emerson hosted a panel discussion among HVACR contractors to glean their insights and opinions on the biggest challenges and emerging trends impacting their businesses. It was a valuable opportunity to get a working perspective on issues more often discussed by industry analysts. A recent article covers a wide range of topics, including talks of new, high-end technologies at a practical level. You can read the whole article here.

The new technologies, IoT and analytics in the field

In recent years, the HVACR industry has experienced an influx of new electronic controls, connected technologies and data analytics enabled by the internet of things (IoT). As these technologies have come online, each of the three contractors on the E360 panel, with companies and customer bases of different sizes, has had different degrees of experience and interaction with these technologies in the field — from working with component-level information to gathering insights on facility management.

Making better use of data and analytics in the enterprise

Jim Wharton, area vice president of Link Network, ABM in Atlanta, works with an enterprise-level customer base. He explained that while data collection capabilities have been available for decades in different forms of energy management systems (EMS), many operators don’t use them to their full potential. Many may glance at their facility dashboards, see multiple areas running in the red (out-of-tolerance conditions), and may simply ignore the potential problems. “Most operators know the way their building behaves, and if they see an alarm in a certain area, they also know whether it will go away or if they need to act on it,” he said. He added that advanced data analytics now offer more insights and the potential to add tangible operational value by helping to drive informed decision making, detecting performance trends and providing equipment diagnostics and troubleshooting.

Embracing new technologies at home

Residential consumers are also embracing whole-home automation, said Martin Hoover, owner of Empire Heating & Air Conditioning in Atlanta. He said that his customers love getting notified of routine maintenance items, such as when to change filters or fix a water clog or leak. But most importantly, homeowners are using these systems to diagnose problems. “They like the fact that their home automation systems can let us know if something’s broken, so we can fix it before it affects their comfort levels,” said Hoover. But from a contractor’s perspective, he stressed that a home system also helps properly trained and educated technicians perform their own diagnostics. “This doesn’t allow us to take someone straight out of high school and put them in the field, but it certainly makes it easier,” he added.

On-board compressor controls are also helping service contractors gain deeper insights into overall refrigeration system performance. Michael Duffee, owner of Restaurant Equipment Services, Inc. of Tucker, Ga., cautions that these advanced controls require trained technicians. “If they’re not familiar with the technology, then you have to train them to avoid misdiagnosis, as there’s still the potential for things to go wrong,” he said.

Developing new technology for the real world of refrigeration

Designing new sensor technologies to be resistant to the impacts of weather, water and humid conditions are also very important considerations for Duffee. For example, he said, “In walk-in cooler environments, where it’s wet and sometimes caustic with the food and so forth, we’ve seen issues with consistency and where sensors and microprocessors can cause problems.”

With our broad knowledge of the full range of commercial refrigeration applications, Emerson keeps these environmental considerations upfront as we develop and introduce next-generation sensors and controls. For applications as simple as automated residential controls or as the source of real-time data for enterprise and IoT analytics, Emerson continuously consults with end users on the real-world issues raised by new technology.

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