ASSLAdaptive Smart Sustainability Lab
DIGITAL TWINLive Flow Canvas
ALL SYSTEMS NOMINAL
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LOCAL TIME
MQTTTWIN SYNC
Digital Twin Canvas
Interactive power-flow schematic with live node telemetry, load states, and hardware selection details.
Generation
75.8W
Solar + wind + hydro
Load
42.3W
Smart load cluster
Battery SoC
75.6%
Charging state active
SOLAR PV50W · MPPT Active38.4W18.2V / 2.11A WIND TURBINE30W · 3-Blade HAWT21.6W14.4V / 1.50A MICRO-HYDRO20W · Pelton Wheel15.8W12.1V / 1.31A CHARGE CTRLMPPT / Boost-Buckη = 94.2%75.8WTotal Input PowerT: 42C ■ STATUS: HEALTHY ESP32 BRAINDual-core 240MHzMQTT · WiFi · CAN Bus BATTERY12V / 7Ah Li-IonSoC: 75.6%12.8V+0.82A chargingT: 35C · SoH: 96% DC BUSDistribution Panel12.4VLoad: 42.3W HOUSE15.2W LIGHT8.4W PUMP9.8W FANOFF IRRIG4.5W APPL4.4W
Live Module Data
Solar PV
Power
38.4W
Voltage
18.2V
Current
2.11A
Irrad.
812
Wind Turbine
Power
21.6W
Voltage
14.4V
Current
1.50A
Speed
6.2m/s
Micro-Hydro
Power
15.8W
Voltage
12.1V
Current
1.31A
Flow
2.4L/s
Battery
75.6%
Voltage
12.8V
Current
+0.82A
SoH
96%
Temp
35C
DC Bus / Loads
Bus V
12.4V
Total Load
42.3W
η System
87.3%
CPU
23%
IoT Stack
ESP32 -> MQTTBroker -> FirebaseDashboard LIVE
TWIN SYNC ACTIVE Total Gen: 75.8W Total Load: 42.3W Battery SoC: 75.6% η System: 87.3% Update Rate: 1s