While steam trap maintenance is typically scheduled at most facilities, it commonly ends up being a reactive task. Annual trap surveys are often difficult to schedule or deprioritized due to time and labor constraints, allowing failures to persist for months unnoticed. The result? Steam waste, lost energy and increased wear on critical equipment.

Combining a self-powered, electromechanical trap with a cloud-connected analytics platform enables true condition-based maintenance. Traps continuously monitor temperature, pressure, water removal rates and duty cycles — alerting maintenance teams in real-time when performance drifts or a failure occurs. But the benefit doesn’t end there; it provides system-wide actionable intelligence.
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Rather than wait for issues to become visible (or worse — costly), facility teams and service providers gain access to a robust set of performance data they’ve never had before — seeing problems they never knew existed, with full visibility into steam system health.