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Case study · weighbridge × shovel

Case study: fewer under-loaded trips by tying the weighbridge to the shovel

At an Indian mine, Minocular joined weighbridge net weight with each GPS trip and the excavator and operator that loaded it. Under-weight trips clustered by shovel, operator and shift. With live under-weight alerts and a daily pairing report, under-loaded trips fell from 20% to 7.5% and average payload rose by 8 tonnes per trip.

01 Problem

One trip in five was under-loaded

The weighbridge recorded the weight, but not which shovel or operator loaded the truck, so nobody could act on it.

20%
under-loaded trips at the start
02 Data

Weight joined to the loading point

Weighbridge net weight was matched with the GPS trip and the loading excavator and operator. Under-weight trips turned out to cluster by shovel, operator and shift.

Weighbridge × GPS × shovel
data fused
Fleet management →
03 Result

Live alerts and a daily pairing report

Supervisors got a live alert for each under-weight trip and a daily report for each shovel.

20% → 7.5%
under-loaded trips
+8 t
average payload per trip

Questions about under-loading case study

What did the mine measure?

Weighbridge net weight for each trip, matched with the GPS trip and the excavator and operator that loaded it.

What were the results?

Under-loaded trips fell from 20% to 7.5% and average payload rose by 8 tonnes per trip.

What changed on site?

Live under-weight alerts and a daily pairing report for each shovel.

What data was needed?

Weighbridge records and GPS on the dumpers and excavators.

Can this run at other mines?

Yes, at any mine with a weighbridge and GPS on the fleet.

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