Vishwakarma Precision Works DEMO Β· SIMULATED LIVE DATA
Morning Shift Β· --:--
Factory status

Good morning, Admin

Running Efficiently
Today's energy consumption is 9% lower than yesterday. Machine M-07 is consuming unusually high power. Estimated savings if recommendations are followed: β‚Ή2,450.
AI health score
87/100
+3 vs. last week
Energy consumption trend

Last 7 days

Actual (kWh) AI Predicted
Fleet overview

Machine health

Machine Status Power Efficiency Health Running Hrs Last Maint.
AI Recommendations
Live feed

Recent alerts

Machine efficiency

Top 5 machines

Departments

Energy usage share

🌿

Carbon intelligence

Carbon emitted
4.2t
Carbon saved
0.9t
Equivalent trees
41
Savings potential
12%
Running heavy machines after 6 PM could reduce monthly emissions by 12%.
Activity

Recent timeline

Live Energy

Engineer operations dashboard

Realtime metrics for the main meter and each machine. All values refresh live every second.

LIVE DATA
Updated just now
Main Meter
Voltage 415 V
Current 132 A
Power 54 kW
Power Factor 0.94
Frequency 50.0 Hz
Today's kWh 1,288
Peak Demand 182 kW
Machine status cards
Real-Time Factory Power

Last 60 seconds

kW
Machine Comparison

Live power by machine

Machines

Machine profiles

Each machine includes live current, power, energy and AI health guidance.

Healthy units
Critical units
AI Insights

AI-driven energy decisions

Every recommendation here is generated by the simulated AI engine from live factory telemetry. No raw sensor details, only actions and predictions.

πŸ€– AI Engine Demo
Energy Waste
Bill Prediction
Peak Demand
Machine Efficiency
Recommended Actions
Analytics

Operational trend analysis

The latest trend shows steady improvement in energy efficiency and a strong decline in avoidable peak-hour draw.

Reports

Downloadable reports

These are demo/simulated energy reports generated from the live simulation. No backend or database is involved.

Alerts

Open and acknowledged issues

Carbon

Sustainability reporting

AI-based guidance for emissions reduction and solar hour scheduling.

Carbon emitted
2.1 Ton
Carbon saved
0.7 Ton
Equivalent trees
35 Trees
Recommended window
Run machines between solar hours
AI suggestion
Run machines between solar hours to reduce emissions and maximize green energy use.
Settings

Control center preferences

Email alerts enabled
AI auto-actions disabled
Dark mode active
Demo

Simulation

Restart the live simulation from a clean baseline state β€” useful between presentation run-throughs.

Power draw
Efficiency
Running hours
Last maintenance
Health score
Demo Controls0:00
Alert @30s Β· Recommendation @60s Β· Maintenance @120s
EnergyOS Assistant

✨ Ask EnergyOS

Ask a question about current plant performance. Responses are generated locally by simulated AI rules.

πŸ€– AI Demo Response
EnergyOS command center

Open workspace

Suggested action