Nutrien
AI monitoring of conveyor belt splices at Rocanville
Nutrien used BeltVision to detect a damaged conveyor splice before a belt failure
Problem
Conveyor splice failures caused downtime at Nutrien's Rocanville potash mine. Manual inspections also required production shutdowns.
Approach
Nutrien implemented BeltVision at Rocanville in 2020. Cameras captured moving belt splices, and AI analyzed them for damage alongside employees' physical inspections. In May 2024, staff identified a damaged splice through the system and stopped the belt for repairs.
Results
No published figures
Takeaway
Monitoring moving belts allowed staff to assess damage between shutdowns. Camera protection and lens cleaning remained necessary in the dusty mine environment.
Categories
- Size
- Large enterprise
- Industry
- Agriculture and food production
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Nutrien described a May 2024 incident in which BeltVision helped staff find a damaged splice and arrange repairs. It dated initial implementation to 2020 but gave no measured reduction in downtime.
Full details are in the original sources.