Planning Your IoT-Driven Workplace Safety Strategy
August 7, 2023
Industrial IoT (Internet of Things) technology works by connecting smart devices to local networks, which gather data about their surroundings. This data is
Use Cases · IoT Sensors
Machinery rarely fails without warning — it drifts, vibrates a little more, runs a little hotter, first. Equipment Monitoring watches that drift across your field machinery, flags it as an anomaly before it’s a breakdown, and keeps a running record of downtime and usage for every unit.
Why it matters
Most equipment failures show early signs. The problem isn’t that machinery fails — it’s that no one’s watching closely enough to catch the warning.
A machine that stops without warning halts everything downstream of it — and the cost of the stoppage is usually worse than the fix itself.
Rising vibration, temperature, or run-time hours build up gradually — easy to miss without continuous monitoring against a baseline.
Without a record of how hard and how often equipment runs, maintenance schedules end up guessing instead of following actual wear.
What’s inside
See every unit’s current state — running, idle, or flagged — across your whole site in a single view.
Vibration, temperature, or runtime patterns are compared against each machine’s own baseline, flagging drift before it becomes a failure.
Every stoppage is timestamped and recorded — how long, how often, and whether it lines up with an anomaly that was flagged earlier.
Runtime hours and load trends over weeks or months — the record that turns scheduled maintenance into maintenance based on actual wear.
How it flows
Sensors on each machine report status, vibration, and temperature continuously, feeding one live dashboard.
Readings are compared to that unit’s own normal range, so an anomaly is flagged early — not after a threshold everyone already knew was too late.
Downtime events and usage hours are recorded automatically, building the history maintenance planning actually needs.
An older generator running slightly warmer than a brand-new one isn’t automatically a problem. Equipment Monitoring learns each unit’s own normal range, so a flagged anomaly means an actual change in behaviour — not just a difference between machines.
MOD.02 · Also on the fleet
Not every machine on a site can be wired for monitoring. A Collie robot on patrol can carry vibration and thermal sensing past equipment that isn’t permanently instrumented, adding a periodic check where a fixed sensor isn’t practical.
Where it’s deployed
Production line machinery monitored continuously against unplanned stoppages.
Conveyors, forklifts, and material handling equipment tracked for usage and wear.
Heavy machinery like excavators and generators monitored across mobile job sites.
Production equipment where downtime directly affects batch schedules and compliance.
It tracks operating conditions on machinery and equipment – such as usage, overheating, or fault signals – so problems surface before they cause downtime.
Yes, connected sensors can flag conditions like overheating equipment or gas anomalies in real time, rather than waiting for a scheduled inspection to catch them.
By surfacing early warning signs, maintenance teams can act before a fault becomes a breakdown, shifting equipment care from reactive to preventive.
Yes, readings from every monitored piece of equipment feed the same Collie dashboard, so a facilities manager can review site-wide equipment health from one screen.
Yes – Equipment Monitoring is designed to operate in demanding environments such as those with heat, chemicals, or radiation, where manual inspection carries more risk.
Industrial IoT (Internet of Things) technology works by connecting smart devices to local networks, which gather data about their surroundings. This data is
This feature is new and rolling out to early sites. Tell us about your equipment and we’ll be in touch about early access.