Video Data Analytics For Quantitative Measurement Of Feeder Ore Flow Characteristics In Underground Systems - SME Annual Meeting 2022

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 5
- File Size:
- 995 KB
- Publication Date:
- Mar 2, 2022
Abstract
The block cave mining method utilized by PT Freeport Indonesia (PTFI) generates fines and allows the inflow of water. Both constituents have contributed to unfavorable characteristics: an increase in ore material plasticity and fluidity. Unfavorable material needs to be monitored and managed as it passes from intermediate ore stockpiles through feeders and then to milling operations. We describe an implementation of several Video Data Analytics (VDA) algorithms on smart cameras to quantify the potential fluidity and plasticity by measuring the apparent velocity and agglomeration of material flowing through ore feeders. This approach to VDA on smart cameras is a cost effective, self-contained, solution to identify these unfavorable characteristics. The solution allows the operators to manage the related operational risks, maintain safe production and govern feeder rates when material is unfavorable, which is expected as PTFI proceeds deeper into the underground orebody
Citation
APA:
(2022) Video Data Analytics For Quantitative Measurement Of Feeder Ore Flow Characteristics In Underground Systems - SME Annual Meeting 2022MLA: Video Data Analytics For Quantitative Measurement Of Feeder Ore Flow Characteristics In Underground Systems - SME Annual Meeting 2022. Society for Mining, Metallurgy & Exploration, 2022.