Live Bioreactor Vessel
Biomass (X)
0.50 g/L
Glucose (S)
5.00 g/L
Product (P)
0.000 g/L
Dissolved O₂
50.0 %
pH Level
7.00
Temperature
37.0 °C
Control Mode:
Real-Time Process Trends
Biomass (X)
Product (P)
Glucose (S)
DO (%)
Active Safety Shield
SAFE
AI proposed setpoints are within compliant redlines and biological envelopes.
Tier 1 Physiological Redlines
pH Level
6.5 Limit7.0 Target7.5 Limit
Temperature
34.0°C Limit37.0°C Target40.0°C Limit
Dissolved Oxygen (DO)
10.0% Redline50% Target100% Saturation
FDA-Compliant Event & Override Log
| Step | Status | Proposed Action | Executed Action | Shield Justification |
|---|---|---|---|---|
| No control overrides or breakthrough events recorded yet. | ||||
Historical Data Ingestion
Drag & Drop Industrial CSV File Here
or click to browse local files
Or test with standard catalog files:
Ingest a CSV data file on the left to see the auto-mapping schema and quality scorecard.
AI7 Digital Intelligence Stack
| Mechanistic Simulator | bioreactor_v3_simulator.py (Monod & Luedeking-Piret) |
| Autonomous Data Pipeline | /data_agent/ (Fuzzy Mapper, Resampler, Quality Grading) |
| Offline Reinforcement Learning | offline_agent.py (Conservative Q-Learning - CQL) |
| Dynamic Safety Shield | safety_shield.py (Redlines + Innovation Envelopes) |
| Event Auditor | audit_logger.py (ISO/FDA-compliant event outputs) |
DQNAgentV3 Neural Network Specs
| Deep Q-Network Architecture | Double DQN (Policy Network & Target Network) |
| Layers Configuration | State Input (10) ➔ Linear (128) ➔ ReLU ➔ Linear (128) ➔ ReLU ➔ Actions (27) |
| Execution Device | CPU (PyTorch Default Fallback) |
| Active Model File | None (Running in JS local sandbox simulation) |