What IoT monitoring is
Equipment is fitted with sensors, or already reports its own readings; the data travels to a single system, and you see the state of the entire fleet in one interface: temperatures, pressures, running hours, statuses. On deviation the system raises an alarm — before a breakdown happens.
How it is put together
| Layer | What it does |
|---|---|
| Sensors and controllers | read the values off the equipment |
| Transport (e.g. MQTT) | delivers telemetry to the system |
| Platform | stores the data, renders dashboards, raises alerts |
| AI analytics | catches deviations and predicts problems in advance |
What it delivers
- •Less downtime: the problem is visible in advance rather than at the point of stoppage,
- •Remote oversight: no need to physically walk the sites,
- •History and analytics: you can see what degrades and when,
- •One interface across distributed locations.
A common special case is building services — that is covered in remote HVAC management. We build this kind of monitoring on the Stitex Connect platform; deployment can be discussed through the form.
Frequently asked questions
What does it take to connect equipment?
Sensors or controllers that read the values, plus a channel to transmit the telemetry. Some equipment already exposes its data; the rest gets a controller. We size the solution to your existing fleet.
Is this only for factories?
No. Monitoring is used in buildings — ventilation, climate, energy metering — across distributed sites and in production. The principle is the same: collect the telemetry and see the state of everything in one place.
Why bring AI into it?
AI analytics goes beyond drawing charts: it notices deviations and predicts problems in advance, before a failure. It is a layer on top of basic monitoring, not a replacement for it.