Initialising the digital twin...
Analytics
Evidence, not adjectives
Run the recovery experiments from the research on the live engine, read the statistics of the running cell and see which conditions actually move the power.
Recovery Lab
Same shock, four operators
Ten simulated days on the live engine. On day 2 a disturbance hits. Recovery is the time until hourly power is back above 90% of normal. Pick a scenario and run it yourself.
Preparing…
Hourly power, µW. Shaded band: the disturbance.
Energy lost over 10 days
Against the same mode without the shock.
Live statistics
The last 48 hours, in numbers
Computed from the supervisory history of the running cell.
Mean power
0µW
σ 0 · 271 to 272
Energy gain vs 1 kΩ
0.0%
over 36 h of history
Time with safe pH
0%
6.8 ≤ pH ≤ 8.2
Time at good temperature
0%
25 to 38 °C
Mean coulombic eff.
0.0%
electrons that reached the wire
Time under fault
0%
any injected fault active
Cumulative energy
The gap between the lines is what supervision earns.
Sensitivity
What the bacteria care about
Maximum power of a mature biofilm as one condition changes, solved by the same engine. The dashed line marks the live cell right now.
Temperature
Cardinal model: min 5, optimum 40, max 50 °C.
pH
Cardinal model: min 5.85, optimum 8.05, max 9.5. Acid hurts twice: kinetics and the Nernst shift.
Cathode oxygen
The cathode is usually the bottleneck, not the bacteria.
Fouling (ohmic resistance)
Why the AI schedules a cathode wash.