Ever wonder what is behind Cascadia Scientific's SmartRView data?

SmartRView Fuel meters yield accuracy and repeatability that outperform ECM fuel use models by as much as 10X (1000%).  This measurement accuracy and the related data collection strategies, are fundamentally important to enabling high value business improvement use case execution. 

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Accurate fuel measurement data alone is not enough to inform mining efficiency initiatives.  For this reason, SmartRView combines in-service fuel measurement with several key mining metrics.

        Pressure based altimetry is used to establish haul cycle gross (loaded) vertical travel, a key indicator of mining intensity.

        Vehicle network integration is used to established haul cycle distance, equipment hours, payload tonnage and specific operator input patterns. 

        9-Axis motion sensing is included to detect ramp grades and measure vibration levels to inform decisions around road design and maintenance.

        GPS is used as a highly available and reliable source of date/time, while geo-location data can be used to restrict analysis to specific areas of the mine. 

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