Name
Case Study: Refuel Less, Haul More: Leveraging Machine Learning and Multi-Source Data Fusion for Intelligent Refueling Management
Date & Time
Thursday, September 3, 2026, 10:15 AM - 10:30 AM
Kevin Dagenais
Description
  • Learn how mining operations are using machine learning and multi-source data integration to improve refueling accuracy and maximize haul truck utilization. 

  • Explore how fuel flow meters, tank sensors, geo-location, fuel temperature, and vehicle network data can be combined to provide trusted real-time fuel visibility. 

  • Understand how predictive models can estimate remaining operating cycles and support smarter dispatch and refueling decisions. 

  • Discover how intelligent fuel management strategies can reduce unnecessary refueling events, eliminate fuel-out risks, and increase equipment availability. 

  • Examine real-world results, including 40+ additional operating hours per truck annually and measurable productivity improvements across fleet operations.