Achieving sustainability through the application of AI (Artificial Intelligence) in APC (Advanced Process Control) systems for flotation processes involves integrating smart, adaptable algorithms that optimize resource usage, reduce energy consumption, and enhance process efficiency. Flotation is a complex mineral processing technique used to separate valuable minerals from the ore based on differences in their surface properties. Here's how sustainability can be achieved by applying AI in APC for flotation:
To effectively implement these AI solutions, access to high-quality real-time data and the development of models reflective of the flotation process complexity are imperative. Collaborative efforts among AI specialists, process engineers, and environmental experts are essential to ensure that these solutions not only enhance efficiency and profitability but also advance environmental sustainability.
Key Results
The solution reduced the mean reagent feedrate from 20.22 to 19.67 gram per ton of ore
Reducing the Reagent dosage is being achieved by increasing frequency of control actions, optimizing reagent dosage for each flotation state.
Also, the use of the Solution made it possible to increase recovery in flotation due to more efficient control of the process
Challenges:
1. Data quality for AI accuracy.
2. Balancing energy efficiency and production.
3. Adapting AI to varying ore conditions.
4. Overcoming equipment maintenance predictions.
5. Tailings reduction for environmental impact.