fuel measurement

Mines Turning to Equipment Level Fuel Measurement to Validate Fuel and Lubricant Claims

Mines Turning to Equipment Level Fuel Measurement to Validate Fuel and Lubricant Claims

SmartRView enables operators of high-horsepower diesel equipment to precisely quantify the production and efficiency impacts attributable to specific changes under consideration. Some of the largest global petrochemical companies have engaged the SmartRView platform to demonstrate the efficiency impacts of their premium and synthetic formulations to customers.  As analysts are often skeptical of laboratory results, or those produced under any conditions but their own, an appetite persists for on-site, in-service evaluation.   

Cascadia Scientific to speak at the Truck & Shovel Conference in Singapore

Cascadia Scientific to speak at the Truck & Shovel Conference in Singapore

Cascadia Scientific, a leader in fuel measurement and analytics, has been invited to speak at the Truck & Shovel convention taking place September 19th-20th in Singapore.

Cascadia Scientific CEO, Kevin Dagenais will present “Using predictive modelling techniques to target mining inefficiencies” focusing on Cascadia’s unique SmartRView platform.

Cascadia Scientific Invests in Analytics, Adds Dr. David Reid as Chief Data Scientist

Cascadia Scientific Invests in Analytics, Adds Dr. David Reid as Chief Data Scientist

Cascadia Scientific, a leader in fuel measurement and analytics for mining, is investing in Analytics, Adds Dr. David Reid as Chief Data Scientist

SmartRView- CASE STUDY- Maintenance

SmartRView platform enables mining professional to improve their maintenance strategies. A refined maintenance strategy including total fuel burn can reduce unnecessary maintenance while avoiding unplanned failures.  Consider the benefit of eliminating a single unnecessary preventive maintenance event per asset per year. 

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.