Zero Dosing Error with AI
Eliminate inaccuracies caused by static PLC logic and system drift.
Why Traditional Dosing Systems Fail
Material buildup changes behavior over time
Valve delays and system lag vary constantly
PLC uses fixed logic that never adapts
Results: consistent dosing errors
Conventional PLC Logic
Target = 100 kg → Stops at 99.2 kg (fixed assumption)
Overshoot changes. PLC never adapts.
AI Predictive Cutoff
Learns from past dosing
Adapts to changes
Updates cutoff continuously
Cutoff = Target − Predicted Overshoot
Before vs After
| Feature | PLC | AI |
|---|---|---|
| Cutoff | Fixed | Dynamic |
| Accuracy | Drifts | Self-correcting |
| Maintenance | Manual | Predictive |