OPTECS – NETHERLANDS
Artificial Intelligent Advanced Process Control
Your Artificial Intelligent Assistant
- Expertise: Deeply specialized in the fields of Process Control, mineral beneficiation, metallurgy, and Artificial Intelligence (AI)[cite: 4].
- Collaborative Integration: Optecs works hand-in-hand with users to develop, integrate, and implement process optimization solutions tailored to local requirements[cite: 5].
- Advanced Science: Utilizes the latest breakthrough innovations in control and measurement technology, AI, and data science[cite: 6].
- Global Track Record: Since 2015, Optecs has expanded globally, building a robust network of clients, partners, and collaborators in the mining industry to drive resource efficiency and sustainability[cite: 14].
Advanced Process Controller Solutions
Smart Grinding Controller (SGC)
Advanced Process Controller for Grinding Circuits
📉 REDUCE MILLING COST
📈 IMPROVE THROUGHPUT
⚡ REDUCE POWER CONSUMPTION
Smart Flotation Controller (SFC)
Advanced Process Controller for Flotation Circuits
📊 Grade & Recovery Prediction
🧪 Save Reagent Cost
🛡️ Control Impurities Grade
- • Fully autonomous control solution for flotation[cite: 12].
- • Deep learning, Mask-RCNN, and pattern recognition techniques[cite: 12].
- • High-speed camera system designed and built in-house[cite: 12].
- • Unique algorithm for precise bubble size and load detection[cite: 12].
Proven Industrial Impact & ROI
Nornickel GRK Bystrynkoie (SGC Impact)
- Increase in fresh mill feed by 1.3%[cite: 10].
- Reduction in operational fluctuations by 31%[cite: 10].
- Decrease in specific energy consumption by 2%[cite: 10].
Benefit: +15 M€
ROI: < 1 Month
Nicico Sungun Line 2 (SGC Result)
- Increase in fresh mill feed by 7.03%[cite: 10].
- Decrease in feeding fluctuation by 38.5%[cite: 10].
- Decrease in energy per ton consumption by 9%[cite: 10].
Benefit: +7 M€
ROI: < 1 Month
AI Processing Precision & Validation
Cu Grade Prediction with 96% Accuracy: Utilizing cutting-edge deep learning techniques, Optecs achieves near-perfect predictive models for real-time copper grade tracking, enabling proactive, automated control over flotation reagents and impurities[cite: 12].
| Image No. | Actual Bubbles | Watershed Results | Mask R-CNN Results (Optecs AI) | ||||
|---|---|---|---|---|---|---|---|
| Count | Abs Dev | Error (%) | Count | Abs Dev | Error (%) | ||
| P1 | 77 | 115 | 38 | 49.4 | 75 | 2 | 2.6 |
| P2 | 94 | 142 | 48 | 51.1 | 91 | 3 | 3.0 |
| P3 | 75 | 150 | 75 | 100.0 | 70 | 5 | 5.0 |
| P4 | 77 | 144 | 67 | 87.0 | 67 | 10 | 10.0 |
| P5 | 106 | 133 | 27 | 25.5 | 97 | 9 | 9.0 |
| P6 | 104 | 138 | 34 | 32.7 | 93 | 11 | 11.0 |
| P7 | 78 | 130 | 52 | 66.7 | 72 | 6 | 6.0 |
| P8 | 85 | 155 | 70 | 82.4 | 81 | 4 | 4.0 |
| Total | 696 | 1107 | 411 | 59.1 | 646 | 50 | 7.18 |