IoT Predictive Maintenance · Ireland
Unplanneddowntimeis preventable.IoT predictive maintenance and condition monitoring.
Most failures don't arrive without warning. The signals are in the data: shifting vibration patterns, rising temperatures, subtle changes in current draw. Invisible without sensors. Obvious with them.
Traditional condition monitoring leaves gaps. Continuous IoT sensors don't.
Most condition based monitoring programmes in Irish manufacturing still rely on periodic manual inspection rounds. An engineer walks the floor on a schedule. Between visits, deterioration continues. By the time the fault is found, the damage is done.
Periodic, not continuous
A quarterly or monthly visit captures one data point. Every hour between visits is a blind spot.
Damage found too late
By the time a fault shows up during a manual round, it has typically been developing for days or weeks. Repair cost is already high.
No trend to act on
Without continuous data there is no normal operating signature to measure against. You cannot detect a trend from point-in-time readings.
Continuous IoT condition monitoring. Real-time alerts. Zero production impact.
Lumina's IoT predictive maintenance system places wireless sensors on your critical assets. The Lumina+ platform builds a normal operating signature for each machine and alerts your team the moment behaviour deviates, days or weeks before failure.
Clip-on sensors, current clamps, vibration probes. Installed without stopping production.
Not threshold alarms. A normal behaviour model per asset, based on ISO 20816-3. Alerts fire on meaningful deviation.
Every asset in one view. Accessible from the control room or a mobile device, 24/7.
LoRaWAN covers entire facilities wirelessly. No cabling. No production interruption.
The sensors behind continuous condition monitoring.
Every sensor transmits wirelessly to the Lumina+ platform.
Vibration sensors
Clip-on to any rotating asset. Measures velocity RMS, acceleration, and kurtosis 24/7. Machine learning builds a normal behaviour model per asset and detects imbalance, misalignment, and bearing wear weeks before failure, aligned to ISO 20816-3.
Clamp-on current sensors
Fits around existing cables in seconds. Detects motor load changes and current draw anomalies. No wiring required.
Temperature sensors
Surface-mount probes on motors, gearboxes, pipes, and bearings. Rising temperature is one of the earliest fault signals.
Hydraulic oil quality
Tracks viscosity, contamination, and degradation in real time. Extend change intervals based on actual condition.
Compressed air monitoring
Pressure, flow, and consumption at point of use. Leaks and pressure drops identified automatically.
Liquid leak detection
Detects coolant, oil, and water leaks at floor level. Alerts fire within seconds of detection.
Gas, refrigerant and chiller monitoring
Continuous monitoring for refrigerant, CO₂, and process gases in plant environments. Critical for refrigeration plant, cold stores, and HVAC systems.
Mergon Group
Four manufacturing sites across Ireland, the USA, Mexico, and the UK. Lumina deployed wireless vibration monitoring across rotating machinery at each facility: clip-on sensors, LoRaWAN connectivity, and anomaly detection tuned per asset type. No production stoppages during installation at any site.
Read the full case study
Project of the Year — Public Sector
Lumina's IoT condition monitoring deployment at Sport Ireland's National Aquatic Centre detected a boiler fault on a Saturday morning, preventing total heating loss at one of Ireland's busiest sports facilities.
Read the Sport Ireland case studyReady to find out what your assets are telling you?
Know before it breaks.
A 30-minute call is all it takes. We'll walk through your assets, identify your highest-risk equipment, and outline what a deployment would look like, with real numbers.