Case studies
Piklema Driver Assitant
Company
Type of mine
Coal, open pit
Production volume
6 mln t of coal, (annual haulage 60 mln t), 45 dump trucks 130 t, 220 t
Piklema's contribution
– recommendations for drivers according to the optimal driving behavior (speed, acceleration along the route etc.) and for dispatchers, according driving modes and violations;
– dynamic adjustment of fuel consumption rates along routes depending on operating conditions, weather, payload, roads etc.;
– comprehensive analytics for dispatchers based on analysis of factors affecting tire mileage and fuel consumption, comparing optimization options for each factor;
– transparent comprehensive driver rating and KPIs, according influence to fuel consumption;
– diagnostic data integration with the installation of sensors (acceleration, wheel rotation, tire pressure and temperature), data integration from FMS for dashboard creation for shift hauling dispatcher.
– dynamic adjustment of fuel consumption rates along routes depending on operating conditions, weather, payload, roads etc.;
– comprehensive analytics for dispatchers based on analysis of factors affecting tire mileage and fuel consumption, comparing optimization options for each factor;
– transparent comprehensive driver rating and KPIs, according influence to fuel consumption;
– diagnostic data integration with the installation of sensors (acceleration, wheel rotation, tire pressure and temperature), data integration from FMS for dashboard creation for shift hauling dispatcher.
Effects
5 – 7 %
Per year
=
$1,5 mln
Annual savings
Piklema Predictive Production Optimizer (optimisation of continious miner)
Company
Type of mine
Coal, Undeground mine
Production volume
2-3 mln. t of coal
Piklema's contribution
- predicting the level of methane in the face before increasing concentration and visualisation it to operator of continuous miner and mine safety dispatcher;
– rapid alert of potential critical concentrations increase and messaging it to the operator and dispatcher;
– 1, 3, 5 minutes forecast to the operator of continues miner with hints of deviation of methane level.
– rapid alert of potential critical concentrations increase and messaging it to the operator and dispatcher;
– 1, 3, 5 minutes forecast to the operator of continues miner with hints of deviation of methane level.
Effects
7 %
coal production increase (due to decrease stoppages of a mine). 3-5 stoppages of a mine per day
Piklema Predictive Maintenance Manager (engine failure prediction)
Company
Type of mine
Coal, open pit
Production volume
12 mln.t of coal, 75 mln tonn- annual haulage of materials
Piklema's contribution
– system outlines alerts to technician and maintenance manager about anomalies of critical sensors 1 - 7 days in advance, based on diagnostic and FMS data;
– evaluation of driver performance (KPI) by the impact on the components and allocating alerting to drivers behaviour.
– evaluation of driver performance (KPI) by the impact on the components and allocating alerting to drivers behaviour.
Effects
2
Predictions of failures of the engine in open pit (500 K USD per engine) and stoppage the truck for 1 week
Piklema Production Optimizer
Company
Type of mine
Iron ore, open pit
Production volume
16 mln t. of concentrate
Piklema's contribution
– displaying to plant operator possible deviations of the Output quality in advance (45 min) from the planned percentage. Operator understand how to react in advance;
– displaying hints for the operator about possible impact on the concentrate output quality.
– displaying hints for the operator about possible impact on the concentrate output quality.
Effects
$2 mln
Ore quality stabilization of the plant
=
2 %
Savings per year