Predictive Monitor
Ben Eliason

The Early Warning Advantage

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The Early Warning Advantage
White Paper

Why Threshold Alarms Fall Short

Predictive Monitor | Written by Ben Eliason

For decades, threshold alarms have been the default monitoring tool in cold-chain operations. These include high and low temperature and humidity warnings and door-open buzzers. When something goes wrong, the alarm notifies the party responsible. By that point, the damage is done. The refrigerant has leaked, the chamber temperature has gone out of specifications, and the product inside is at risk. Alarms are reactive by design: they trigger on the symptom, after the failure is underway.

OverShield® by Predictive Monitor is built on a proactive premise. Instead of waiting for a threshold breach to occur, OverShield continuously monitors the underlying behavior of refrigeration systems and uses intelligent, prescriptive, and dynamic analytics to identify when a future failure might occur. These predictive insights can alert about upcoming malfunctions days, weeks or even months before a conventional alarm would. This paper explains how OverShield notifications differentiate themselves from conventional alarms.

The Blind Spots in Threshold Alarms

The alarm systems used in traditional monitoring essentially serve as comparators. They watch a small number of variables (e.g., chamber temperature, humidity, door state, etc.) and issue an alert whenever they cross a preconfigured limit. That’s the entire safety net. Unfortunately, when there are millions of dollars of irreplaceable products on the line, it’s not enough.

This infographic demonstrates the clear differences between GMP monitoring and OverShield.

What GMP Monitoring Sees vs. What OverShield Sees — iceberg infographic
What GMP Monitoring Sees vs. What OverShield Sees.

Why Threshold Alarms Fall Short

  • Alarms are lagging indicators. Inside a refrigerated chamber, the air temperature is the lagging indication that the system is failing. But long before the air warms enough to trigger an alarm, the discharge pressure, suction pressure, fan currents, and refrigerant temperatures have already begun to drift. By the time the chamber’s internal temperature alarm is activated, the underlying fault has been building up undetected.
  • No context. Threshold systems do not distinguish between normal operational variability and developing faults. Common factors like a door opening, a defrost cycle, a hot afternoon, or a routine compressor stage change can produce sensor swings that either trip nuisance alarms or, more commonly, force operators to set thresholds wide enough that genuine early-stage faults pass through unflagged. The result is the familiar trade-off between alert fatigue and missed warnings.
  • Alarms do not diagnose. Alarms indicate that something is wrong; they do not diagnose what is wrong, how to verify it, or what to do about it. The diagnostic work and the time pressure that comes with it fall entirely on the response team, usually outside regular business hours, and too often at 2 a.m. on a weekend.

The Evolution of OverShield

The first iteration of OverShield was built in 2015. It used basic third-party software with simple threshold alarms set above and below each sensor’s normal operating range. The limits of this approach surfaced almost immediately as alternating compressors swung sensors toward ambient every cycle, forcing half the alarms to be disabled. Even with that, brief spikes from door openings and defrost cycles tripped nuisance alerts. A typical delay feature, which required the threshold to be exceeded for many minutes, helped the situation, however, it exasperated the real fault by delaying the notification. It was still necessary to constantly re-tune settings. This required loosening them after false alarms and tightening them after every missed fault, with the hindsight that a slightly tighter limit would have caught the problem weeks earlier.

In 2022 Predictive Monitor and its founding development team came together with the goal of making this technology, named OverShield, commercially available. Since then, the underlying technology has undergone vast improvements, beginning with the development of the OverShield software. Among the improvements was revolutionizing how the anomaly detection works, which now includes:

  • Prescriptive detection via auto-baselining. When OverShield is first installed, it runs in data collection mode for approximately two weeks. HVAC-R experts review the data to confirm the asset is running well (or recommend fixes if it is not). OverShield’s proprietary algorithm then uses that baseline to automatically configure anomaly detection settings.
  • Intelligent anomaly detection via conditional logic. An anomaly will not trigger unless multiple conditions are true. This fixed the original issue of having to disable threshold alarms in the direction of ambient and greatly reduced nuisance notifications.
  • Dynamic detection that adapts to change. The baseline updater does more than initial setup. When a major mechanical or controller change is made, anomaly settings are quickly re-tuned. For outdoor units in climates that vary across the year, the baseline adapts seasonally so anomalies stay relevant.

From Raw Detections to Curated Recommendations

OverShield sends 24/7 raw detections, but more importantly it sends expert-reviewed recommendations that include severity, risk, verification steps and suggested fixes.

Conclusion

Threshold-based alarms play a role as a final safety net and the GMP end-of-day record, but they are not savvy enough to protect high-value critical products. They activate based upon lagging indicators, they cannot distinguish between normal variability from developing faults, and they force operators into a constant trade-off between nuisance alerts and missed warnings. OverShield was specifically designed to close that gap.

By learning each asset’s operational baseline, applying conditional logic to filter out routine events, and dynamically updating settings as systems and seasons change, OverShield surfaces faults days, weeks, and even months before a conventional alarm would trip. Equally important is the expert review that converts each alert into a prioritized, actionable recommendation, so when a notification reaches the response team, it’s truly meaningful and actionable. The result is fewer 2:00 a.m. false alarms, fewer surprise failures, and a protection layer that safeguards critical assets before products are ever at risk.

OverShield is an absolute game changer in refrigerated storage. Early Warnings Predict Success.

See OverShield in Action

Icon Challenge
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Scenario 1 — Best Case

Scenario 2 — Worst Case

Outcomes

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The Value
Costs Of Failure
Summary

Conclusion