Digester Unit Alpha
Dry Anaerobic Digestion | Full-Scale Integration
Predicted Methane (CH₄)
VFA/ALK Ratio (Soft Sensor)
Process pH
AI Confidence (R²)
Physics-Guided LSTM: Methane Yield Prediction
Real-time mapping of thermodynamic constraints vs. actual output.
XAI (SHAP Values)
Real-time feature importance driving the Soft Sensor.
XGBoost Virtual Soft Sensor: VFA/ALK Tracking
Predicting acidification risk. Threshold > 0.40 triggers alarm.
Spatio-Temporal LSTM Diagnostics
Deep Learning Engine Performance Metrics
Attention Weights Map
Model heavily weights recent events (t-1) due to immediate biological responses.
Physics-Informed Loss ($L_{PG}$)
0.024
Current Combined MSE + Physics Penalty
Model is strictly adhering to ADM1 bounds
Historical Analytics
Past 30 Days Digester Output vs Targets
Historical Database Synchronizing
Connecting to AWS TimeStream database to fetch previous month's operational records and carbon credit calculations...
System Configuration
Chatake Innoworks Engine Parameters
Triggers emergency alerts when VFA/ALK > 0.40
Number of past time-steps evaluated by the Spatio-Temporal Attention mechanism.