Enterprise Asset Management has historically been a manual, reactive discipline. Assets get logged in spreadsheets, inspections happen on clipboards, and failures get reported by the people who notice them.
IoT is changing all of that.
What IoT Asset Tracking Looks Like in Practice
With IoT-connected assets, every piece of equipment continuously reports on its own condition. A motor tells you its temperature and vibration signature. A pump reports its flow rate. A generator logs its fuel consumption and run hours.
This data flows automatically into your CMMS, where it triggers alerts, updates asset records, and informs maintenance schedules, without any manual data entry.
Key IoT Sensor Types for Maintenance
| Sensor Type | What It Monitors | Best For |
|---|---|---|
| Vibration | Bearing wear, imbalance | Rotating machinery |
| Temperature | Overheating, thermal stress | Motors, electrical panels |
| Current/Power | Load anomalies, efficiency | Pumps, compressors |
| Pressure | Leak detection, flow issues | Hydraulics, HVAC |
| Ultrasonic | Bearing defects, leaks | Bearings, valves |
The Integration Challenge
IoT sensors generate enormous amounts of data. The challenge isn’t collecting the data, it’s making it actionable.
An effective IoT + CMMS integration must:
- Filter signal from noise, not every anomaly requires immediate action
- Contextualize readings, a temperature spike means different things in different environments
- Auto-generate work orders, when thresholds are crossed, the right technician should be notified automatically
- Store historical data, trends matter as much as current readings
Getting Started Without Overwhelming Your Team
Start small. Pick three to five of your most critical assets and instrument them first. Build the workflow, sensor reads, alert fires, work order created, technician dispatched, before scaling to the rest of your facility.
The goal is not to drown your team in data. It’s to give them better information at exactly the right moment.
Task360 integrates with all major IoT sensor platforms and can automatically trigger work orders based on sensor thresholds.
