New Complimentary executive briefing on your RTLS or RFID programme. Book a free 30-min call →
SOLUTION · Condition & compliance

Predictive maintenance & condition monitoring.

Sense machine condition — vibration, temperature, runtime — and act before failure, so you cut unplanned downtime and stretch asset life. Maintenance moves from calendar-based to condition-based.

Predictive maintenance · Line · conditionLIVEPump-7 · failure predictedService in ~118 hBearing wear risingLive, right nowAssets monitored210At-risk1Downtime avoided37hPump-7 vibration rising · work order raisedVibration + IoT
How it works

Predictive maintenance & condition monitoring: how it works, and what it pays back.

The right radio for the job — chosen, never sold — mapped to your use case. That is what makes the ROI fast.

1 · Sense

IIoT sensors stream vibration, temperature, current and runtime from the asset.

2 · Predict

Models learn the normal signature and flag drift before it becomes a failure.

3 · Act

A work order is raised at the right time — not too early, not too late.

−downtime
Unplanned
+asset life
MTBF
−PM cost
Calendar PMs
~120h
Warning lead

IIoT sensors → condition · edge / ML → prediction

Vendor-neutral

Which technology actually fits.

We have no hardware to sell, so the recommendation serves your outcome — not a price book.

IIoT sensors

Vibration, temperature, runtime.

Edge/MQTT

Real-time processing.

Integration

CMMS work orders.

In practice

Service at the right time — not too early, not too late.

A plant streams vibration and temperature from its critical assets. A model flags a bearing drifting from its normal signature roughly 120 hours before failure, and a work order is raised — turning a breakdown into a planned stop.

Typically bought by: Maintenance / reliability, plant engineering, CMMS owners, operations.

USE CASES

Where this solution wins — examples by sector.

Critical line equipment in automotive (automotive)

Press lines and robotic cells.

Pumps and compressors in oil & gas (oil-gas)

Rotating equipment health monitoring.

Wind turbines in energy (energy)

Wind-turbine vibration and component health.

Conveyors and mill equipment in mining (mining)

Mill and conveyor health monitoring.

Pharma manufacturing utilities (pharma)

WFI, clean steam, HVAC critical-equipment health.

FAQ

Frequently asked questions

How does condition monitoring enable predictive maintenance?

Wireless sensors track vibration, temperature, current or run-hours and flag the early signatures of failure, so you service on evidence rather than on a fixed calendar or after a breakdown.

Do we need to wire up every machine?

No - battery-powered wireless sensors retrofit to existing assets, so you can start with the critical or failure-prone equipment and expand.

How does it integrate with our CMMS or SCADA?

Alerts and trends feed your CMMS to raise work orders automatically and your SCADA or historian for context, turning data into scheduled action.

Is this just for fixed plant?

No - the same sensors monitor mobile assets, tools and fleet, and combine with RTLS so you know both the health and the location of an asset.

What is the payback?

Less unplanned downtime, longer asset life, lower spare-parts and overtime cost, and avoided catastrophic failures - typically a strong ROI on critical lines.

Ready to scope it?

30 minutes on the use case, the technology and the numbers.

Talk to an advisor