AI for Mineral Processing
Find us at IMARC 2019
Improve output in mineral processing plants with industry 4.0
“Artificial intelligence in processing facilities has presented itself as an extremely exciting prospect for us through previous research, development and implementation of similar, less technologically advanced initiatives in the past. As the initiative deals with the backend of our value chain, the primary returns are almost wholly reflected in our bottom line and, at the scale at which we operate, are generally several orders of magnitude larger than the investment required to achieve them. We elected to partner with DataProphet based on their globally competitive capabilities in this space as well as their agility and professionalism.”
Alex Fenn, technology and innovation lead, Sibanye-Stillwater
DataProphet's Mineral Processing Solution
DataProphet PRESCRIBE is able to inductively discover the complex and intricate dependencies present in mineral processing circuits. The AI expert system unifies and ingests historical data to rediscover the typically, hundreds of man-years’ worth, of experience embedded in disparate data sources across the plant.
Optimum operating patterns are identified and used to prescribe actions, in real-time, based on the current operating characteristics of the plant to:
- Improve plant stability
- Enhance key plant metrics
- Meet production targets
- Strong operational efficiencies
These prescriptions are provided within the context of a systemwide view which is cognizant of upstream and downstream processes.
The complexity of mineral processing and manufacturing plants:
"Each and every plant has a unique way of operating. From hundreds of control parameters, to the volume of production materials processed and the measured outputs, there is a huge amount of data available. Pre Industry 4.0 plants are hampered by their inability to capitalize upon this valuable resource, often resulting in poor operational performance and quality metrics."