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All About Signs' maintenance operation depended on technicians driving across the airfield to find failures

All About Signs' maintenance operation depended on technicians driving across the airfield to find failures

Operational context

All About Signs installs and maintains runway and taxiway signage systems on airfields. Maintenance and failure detection depended on reactive operational workflows: technicians drove across the airfield to perform visual inspections, failures were identified manually, and maintenance actions only started after visible degradation or outage had already occurred.

What was breaking

There was no operational visibility into sign health between inspection rounds. Degradation built up undetected. Failures could go unnoticed until they became outages. Inspection rounds ran on schedule regardless of whether anything had changed — consuming technician time whether or not there was anything to find.

Why it mattered

Runway and taxiway signage operates in a mission-critical environment where reliability matters. Delayed failure detection increased operational risk. Unnecessary inspection rounds added cost and overhead. The operation had no way to anticipate maintenance needs — only react to them.

What Luminos Software deployed

Luminos Software introduced an IoT edge computing architecture connected directly to the power supply systems of runway signage infrastructure. The edge device continuously monitored operational indicators — voltage, current, LED status, communication state, and component degradation patterns — and automatically:

  • performed local threshold analysis on the device rather than streaming raw telemetry to the cloud
  • forwarded only operationally relevant events upstream — reducing unnecessary network traffic
  • logged operational data locally for deeper degradation analysis
  • detected anomalies faster than periodic visual inspection allowed
  • enabled maintenance tickets to be generated automatically when thresholds were exceeded
  • allowed technicians to be dispatched proactively before full outage occurred

Operational outcome

The solution is currently being validated as a proof of concept at Schiphol Airport, testing edge processing reliability, anomaly detection thresholds, and predictive maintenance workflows in a live airfield environment. The intended operational shift: from reactive visual inspections to event-driven maintenance — where the infrastructure monitors itself and triggers action automatically.

AviationIoTEdge ComputingPredictive Maintenance

Does this sound familiar?

If your operation depends on manual coordination, disconnected systems, or workflows that only move when someone remembers — we can help.