UNIT-01 • GABTOLI TERMINAL • DHAKA
OPERATIONAL
 FAULT — AI CORRECTING
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Process Pipeline
LIVE
Feedstock
44 kg
Water hyacinth
Digester
pH 7.24
Anaerobic digestion
H₂S Scrubber
99.2%
Removal efficiency
CO₂ Membrane
98.7%
CO₂ separated
Compressor
148 bar
Building to 200 bar
BioCNG Output
96.2%
CH₄ purity
Sensor Array — Real-Time Readings
5 CHANNELS ACTIVE
Digester pH
7.24
pH units
Target range: 6.8 – 7.4
Temperature
37.4
°C
Target range: 35 – 38°C
CH₄ Purity
96.2
%
Target: ≥95%
Pressure
148
bar
Target: 200 bar
H₂S Level
14
ppm
Maximum allowed: 50 ppm
CH₄ Purity Trend
pH Trend
Compression Pressure (bar)
Edge-AI Decision Log — PLC Command Stream
STREAMING
Production Output — Today
BioCNG Produced
0.0
kilograms today
Cylinders Filled
0
at 200 bar standard
Feedstock Used
0
kg water hyacinth
CO₂ Offset
0.0
kilograms today
Aquavoltaic (FPV) Array — Canal Surface Power
Solar Input
2.8 kW
Canal surface array
Battery Buffer
87%
LiFePO₄ state of charge
Efficiency Gain
+2.6%
vs land-based panels (water cooling)
Load-Shed Protection
ACTIVE
AI loop protected from grid failure
Simulation Controls
Inject fault:
Fault buttons demonstrate the Edge-AI detecting a sensor anomaly and issuing PLC correction commands autonomously — no human intervention required.
PLC Online
Edge-AI Active
Sensor Bus OK
FPV Connected
Compressor OK
BioNode OS v2.4  ·  UNIT-01  ·  Gabtoli Terminal, Dhaka