Part 3: Real-Time Data Reduces Injuries and Costs in Mining

Interview with Perry Zalevsky - What started as a maintenance challenge turned into a major breakthrough in safety and cost reduction.

In this real-world case study, discover how a mining company used AVEVA’s PI System to collect real-time data from heavy haul trucks—and uncovered a hidden cause of equipment strain and operator injuries. By linking engine rev patterns to road conditions and GPS data, they not only reduced maintenance costs but also cut injury rates by over 50%.

If you work in mining or another heavy-asset industry, this story shows the power of data-driven insights to solve problems you didn’t even know you had: Reduce unplanned maintenance; Improve operator safety; Optimize haul road conditions; Leverage real-time data for smarter decisions.

Hear about more real-life examples in Part 4: https://youtu.be/0O9uNluRIjI?si=QuSdrIUtiZPWy6Wn

Or click here to learn about digital transformation in mining: https://www.aveva.com/en/industries/mining-metal-minerals/mining/

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Видео Part 3: Real-Time Data Reduces Injuries and Costs in Mining канала AVEVA Group