Prince Sattam bin Abdulaziz University
College of Engineering — Electrical Engineering Dept.
Lamp Panel Digital Twin
--:--:--
Online
Live Telemetry Feed

Real-Time Electrical Parameters

Online
Active Power
--W
Awaiting telemetry stream
Operating Current
--A
Measured: 2.91 - 2.95 A
Supply Voltage
--V
Measured: 229.7 V AC
Est. Daily Energy
--kWh
Projected at active load
Monthly Energy
--kWh
30-day active historian
Real-Time Telemetry

Active Power Stream (W)

Live
Real-Time Telemetry

Operating Current Stream (A)

Live
Verified Field Data — July 2026

Running Time vs. Zero-Current Downtime Analysis

1,872,587 readings
Operational Uptime
-- %
Active load vs. idle ratio
Total Running Time
-- h
Current > 0.10 A threshold
Zero-Current Duration
-- h
Current ≤ 0.10 A
Avg Power Factor
--
Non-PFC LED drivers
Field Record — July 2026

Daily Operating vs. Zero-Current Hours

Running Zero-Current
Live Physical Panel State
Last update: --
Project NB2 Lamps Panel
Data Stream Connecting...
Live Optical Feed
Connecting to feed…
Power
-- W
Current
-- A
Voltage
-- V
NB2 Status
--
Forecast
--
Command Interface

Manual Panel Control

Control: Ready

Send direct commands to the connected NB2 panel through the digital link.

Digital Twin Link Info
Target HardwareNB2 Lamps Panel
Control ChannelCloudflare / HiveMQ
Security ProtocolTLS 1.3 Encrypted
Telemetry StatusPhysical Twin Active
NB2 Panel · Live Simulation State

40-Lamp Array

STANDBY
P 402 W
230 V AC
PF 0.60
40 × 11 W
L70 12,000 h
Ea 0.70 eV
Nominal Degraded Critical / flicker Thermal cycling Failed
Lamp Inspector
StateOFF
Health100.0%
Lumen output0.0%
Junction temp25.0 °C
Hours run0 h
Arrhenius AF1.00×
Flicker (% mod.)0.0%
Fail mode—
Panel Health
100.0%
Lumen Output
100.0%
Avg Tj
25.0°C
Failed
0/ 40
AF (Arrhenius)
1.00×
t = 0 h
Speed
h
Simulation Scenarios

Select & Run

FAULT INJECTION
25.0
°C
Junction Temp
Ambient
0
W
Simulated Power
Offline
220
V
Supply Voltage
Nominal
Manual Control
Within rated 220–240 V
Within rated −20…+45 °C
Power0 W
Current0.00 A
Avg Tj25.0 °C
Lumen out0.0%
Power Quality — Non-PFC Driver MEASURED
Current THD--
True PF--
Displacement PF--
Crest factor--
Apparent power--
Distortion power--
3rd harmonic I--
Energy & Cost — SEC Tariff TARIFF
Energy consumed0.0 kWh
Cost0.00 SAR
Monthly projection--
Active tariff tierTier 1
Wasted as heat--
Efficacy now--
Maintenance Forecast PROJECTED
L70 reached at--
Calendar date--
10% failed at--
Replacements to date0
Lamp cost to date0.00 SAR
Duty assumption12 h/day
Projection at the current operating point; recomputes as conditions change.
Model Validation
Back-test vs. Recorded Field Data
Samples--
MAE (power)--
RMSE (power)--
MAPE--
Bias--
MAE (current)--
Within ±2%--
Verdictnot run
Live Residual Monitor — twin vs. physical panel NO LIVE DATA
Measured (live)--
Twin prediction--
Residual--
Residual (EWMA)--
Thermal Model (1st-Order RC)
Junction Temperature vs. Time
t = 0 s
Electrical Load
Active Power & Voltage
W / V
Degradation (IES TM-21)
Panel Health & Lumen Maintenance
%
Simulation
Alarms & Events
0 0
TimeSevSourceDescriptionState
Run Data
Comparison No baseline stored
Digital Twin Research Project

NB2 Lamps Panel — Digital Twin

An industrial real-time virtual replica of a residential LED lighting distribution panel, integrating live IoT telemetry, interactive 3D visualization, and thermal-electrical physics simulation.

Prince Sattam bin Abdulaziz University College of Engineering Electrical Engineering Dept.
DT

What Is a Digital Twin?

A Digital Twin is a dynamic, software-based virtual mirror of a physical asset or industrial process. Unlike a static 3D model or offline simulation, a true digital twin is continuously synchronized with its real-world counterpart through live IoT telemetry and sensor feeds.

By fusing real-time empirical measurements with predictive mathematical physics models, digital twins enable active real-time diagnostics, performance degradation forecasting, and remote monitoring without disrupting ongoing operations.

SO

System Overview

Continuously synchronized with the physical NB2 Lamps Panel via real-time IoT sensors at sub-second latency. The system monitors a residential-grade electrical distribution board feeding 40 LED luminaires rated 11 W each (440 W nameplate), drawing a measured 402 W at a measured 229.7 V AC supply.

UI

University Information

This industrial digital twin research platform was designed and developed at Prince Sattam bin Abdulaziz University (PSAU) as part of applied research in advanced power systems, IoT telemetry, and smart grid automation.

Institution Prince Sattam bin Abdulaziz University
Faculty / College College of Engineering
Department Electrical Engineering Dept. Supervised by Dr.Malek Alduhaimi Prepared by Jehad Majed
SP

Core Specifications

Parameter
Value
Lamp
Philips Essential LEDbulb 11 W E27 4000 K (929002299709) — datasheet
Load Count
40 lamps (8 columns × 5 rows)
Nameplate Power
440 W (40 × 11 W) — datasheet
Measured Power
402 W (10.05 W per lamp) — measured
Supply Voltage
229.7 V measured; rated window 220–240 V
Operating Current
2.93 A at PF 0.597 — measured
Luminous Flux / Efficacy
1,200 lm at 109 lm/W — datasheet
Rated Life (L70)
12,000 h to 70% lumen maintenance — datasheet
Max T-case / Ambient
95 °C / −20 to +45 °C — datasheet
Thermal Resistance (R_th)
5.5 °C/W — modelled (no thermal sensor fitted)