20 h/day of unproductive time exposed
At the La Plomosa mining unit, Kinnil instrumented a mill in a single day — without stopping the operation — and what came to light changed how the plant's most expensive asset is managed.
- KINNIL ENERGY
- KINNIL CM
- KINNIL DAQ
The mill was running blind
In a processing plant, the mill is the heart of the operation and the dominant energy consumer. But it was managed the way most of mining still does it: operator experience and scattered data, with no continuous measurement saying how much energy each processed ton costs or how many hours a day the mill spins without producing.
The question nobody could answer with data: how much of the mill's time and energy is going to waste?
Instrumented in 1 day, without touching the process
The Nidus gateway connected to the mill's electrical signals with non-invasive sensing — no modifications to the equipment, no stopping the grind, no use of the mine's network. From the first shift, the platform started building the asset's real baseline.
- 01Non-invasive sensing on the mill's signals
- 02Own 4G channel — zero dependence on the mine's internet
- 03Specific energy (kWh/ton) computed continuously
- 04Mill states classified with AI, in real time
The real baseline, in numbers
With continuous measurement, the operation stopped arguing over perceptions and started managing against a scientific setpoint. The unproductive time — invisible before — was exposed, quantified and traced to its cause.
of mill unproductive time, exposed and quantified
scientific specific-energy setpoint, computed from real data
of installation, without stopping the grinding operation
It's not about buying anything.
It's about measuring your most problematic machine.
We install on 1–2 machines, measure your real baseline and present the findings with your own data. Success criteria agreed from day one.