IndPenSim benchmark dataset
IndPenSim provides 100 fed-batch runs with 2,238 measured variables, combining:
- 39 process variables (manual, automatic, online, and offline measurements)
- 2,199 Raman spectral points per sample
Originally developed to study modern monitoring and control challenges in biopharmaceutical manufacturing, IndPenSim offers:
- Realistic large-scale dynamics
- Advanced Raman spectroscopy
- Batches operated under different control strategies and fault scenarios
In the current STAMM demo, we focus on the process variables; the Raman spectra are not used in the streaming pipeline.
Process variables available in IndPenSim
The IndPenSim benchmark exposes 39 process variables that combine manual, automatic, online, and offline measurements. Table 1 below summarizes the main process variables, their role in the process, and their physical units.
These variables are directly available in the STAMM Demo as part of the virtual data stream.
| Variable name from raw data | Column type | Units | Variable name in InfluxDB |
|---|---|---|---|
| Time (h) | Time | Hour | experiment_time |
| Aeration rate (Fg:L/h) | Actuator | Fg·L⁻¹·h⁻¹ | aeration_rate |
| Agitator RPM (RPM:RPM) | Actuator | RPM | agitator |
| Sugar feed rate (Fs:L/h) | Actuator | L/h | sugar_feed_rate |
| Acid flow rate (Fa:L/h) | Actuator | L/h | acid_flow_rate |
| Base flow rate (Fb:L/h) | Actuator | L/h | base_flow_rate |
| Heating/cooling water flow rate (Fc:L/h) | Actuator | L/h | heating_cooling_water_flow_rate |
| Heating water flow rate (Fh:L/h) | Actuator | L/h | heating_water_flow_rate |
| Water for injection/dilution (Fw:L/h) | Actuator | L/h | water_for_injection/dilution |
| Air head pressure (pressure:bar) | Sensor | bar | air_head_pressure |
| Dumped broth flow (Fremoved:L/h) | Actuator | L/h | dumped_broth_flow |
| Substrate concentration (S:g/L) | Actuator | g/L | substrate_concentration |
| Dissolved oxygen concentration (DO2:mg/L) | Sensor | mg/L | dissolved_oxygen_concentration |
| Penicillin concentration (P:g/L) | Soft sensor | g/L | penicillin_concentration |
| Vessel Volume (V:L) | Computed variable | L | vessel_volume |
| Vessel Weight (Wt:Kg) | Computed variable | kg | vessel_weight |
| pH (pH:pH) | Sensor | pH | pH |
| Temperature (T:K) | Sensor | Kelvin | temperature |
| Generated heat (Q:kJ) | Sensor | kJ | generated_heat |
| Carbon dioxide percent in off-gas (CO2outgas:%) | Sensor | % | CO2_percent_in_off_gas |
| PAA flow (Fpaa:PAA flow (L/h)) | Actuator | L/h | PAA_flow |
| PAA concentration offline (PAA_offline:PAA (g L^-1)) | Offline measurement | g·L⁻¹ | PAA_concentration |
| Oil flow (Foil:L/h) | Actuator | L/h | oil_flow |
| NH₃ concentration off-line (NH3_offline:NH3 (g L^-1)) | Offline measurement | g·L⁻¹ | NH3_concentration |
| Oxygen Uptake Rate (OUR:(g min^-1)) | Offline measurement | g·min⁻¹ | oxygen_uptake_rate |
| Oxygen in percent in off-gas (O2:O2 (%)) | Sensor | % | oxygen_in_percent_in_off_gas |
| Offline Penicillin concentration (P_offline:P (g L^-1)) | Offline measurement | g·L⁻¹ | offline_penicillin_concentration |
| Offline Biomass concentration (X_offline:X (g L^-1)) | Offline measurement | g·L⁻¹ | offline_biomass_concentration |
| Carbon evolution rate (CER:(g h^-1)) | Sensor | g/h | carbon_evolution_rate |
| Ammonia shots (NH3_shots:kg) | Actuator | kg | ammonia_shots |
| Viscosity offline (Viscosity_offline:centPoise) | Offline measurement | centPoise | viscosity |
| Batch ID | Experiment | – | experiment_ID |