GreenDataLaunch Twin
Kasetsart University · LLLDO Pilot

The living digital twin of the LLLDO Academic Service Building.

One holographic operations center that fuses IoT telemetry, BIM geometry and AI copilots — turning every floor, sensor and kilowatt-hour into a decision your facility team can act on in real time.

9
Live floors
120+
Sensor streams
24/7
AI copilot
Kasetsart University
Operations Snapshot
LLLDO Academic Service Building
412 kW
Energy Load
68 kW
Solar Yield
94 / 100
IAQ Score
0 critical
Alarms
Live telemetryMOCK · 1 Hz
Why it matters

Features and benefits

The LLLDO 3D Digital Twin turns the building into a living operations model — so facility, energy and safety teams move from reactive fixes to data-led decisions.

Operational value

Connected capabilities that the PRD prioritizes for real campus impact.

  • Reduce energy waste and peak demand by visualizing live load, solar generation and chiller/HVAC performance in one place.
  • Predict mechanical failures before they impact occupants using device-health telemetry and maintenance-backlog tracking.
  • Maintain healthy indoor air quality with zone-level PM2.5, CO₂, temperature and humidity alerts.
  • Centralize fire, smoke, access-control and CCTV events into a single safety command center.
  • Track carbon emissions and solar offset in real time for scope-2 reporting and sustainability dashboards.
  • Optimize space utilization with occupancy heatmaps and personnel/vehicle capture analytics.
  • Speed up operational decisions with an AI copilot that answers natural-language questions about any floor or sensor.
  • Improve maintenance planning by mapping every device to a floor, zone and asset record.

Key benefits

Outcomes that facility, finance and sustainability stakeholders care about.

10–25%
Energy savings potential
30–50%
Faster fault response
24/7
Continuous visibility
9 floors
Unified in one model

“By visualizing energy, IAQ and safety in one place, the twin shortens the time from anomaly detection to corrective action — from hours to minutes.”

LLLDO Smart Campus PRD
How it works

Three steps from physical building to digital twin

The LLLDO 3D Digital Twin follows the PRD data flow: connect the building systems, fuse them into a spatial model, then surface actionable intelligence.

STEP 1

Connect and collect

The twin ingests real-time data from the building's IoT sensors, Modbus/BACnet gateways, energy meters, solar inverters, access-control readers and CCTV streams.

  • MQTT and REST ingestion from campus subsystems
  • BIM/IFC geometry and floor plans for spatial context
  • Secure time-series storage with per-device identity
Data ingestion120+ sensor streams

Live telemetry normalized every second for energy, IAQ and safety domains.

STEP 2

Fuse and visualize

Every stream is mapped onto a BIM-accurate 3D model. The dashboard renders the building as a living object with per-floor drill-down, explode/collapse and interactive floor plans.

  • 3D twin built from real footprint and calibrated key plans
  • Per-floor overlays for Level 1 and Smart Office (Level 4)
  • Unified sidebar for personnel, devices, environment and safety
Spatial coverage9 floors mapped

All nine floors of the LLLDO Academic Service Building represented in one model.

STEP 3

Analyze and act

AI copilots and rule-based alarms turn raw telemetry into actionable decisions — from HVAC setpoint adjustments to safety response and maintenance scheduling.

  • Twin Copilot answers natural-language questions about any floor or sensor
  • Alarms for fire/smoke, leaks, access events and unhealthy IAQ
  • Energy and carbon forecasting for sustainability reporting
Decision supportAI + alarms

Anomaly detection to corrective action shortened from hours to minutes.

What it does

From raw sensors to operational clarity

LLLDO Digital Twin ingests live IoT streams and renders them onto a BIM-accurate 3D model — so every alert, kWh and PM2.5 spike has a location, a floor and a story.

BIM-accurate 3D twin

Nine floors of the LLLDO Academic Service Building, modeled to real footprint with explode / collapse and per-floor drill-down.

Live energy & solar

Main incoming load, PV generation, chiller and HVAC performance — streamed and normalized into EUI you can benchmark.

Indoor air & comfort

PM2.5, CO₂, temperature and humidity per zone, with healthy-band tracking and setpoint recommendations.

Safety command center

Fire and smoke zones, access-control events and CCTV video-analytics health — unified in one alarms grid.

Carbon accounting

kgCO₂e computed live from electricity and solar offset, with daily, weekly and campus-level roll-ups.

Twin Copilot (AI)

Ask in Thai or English about any floor, sensor or trend. The copilot answers using the current telemetry snapshot.

Modules

A single pane of glass for the whole building

Every subsystem in the LLLDO PRD, wired to the same 3D canvas and AI copilot.

Space
Floor-by-floor twin

Interactive floor plans for Level 1 and Smart Office (Level 4).

People
Personnel & vehicles

Staff, visitors, capture feeds and registered plates.

Assets
Devices & maintenance

Uptime, chiller / HVAC, work-order backlog.

Environment
IAQ · Water · Leak

Air quality, smart water metering and leak detection.

Safety
Fire / smoke · Access

FACP zones, door events, badge activity.

Surveillance
CCTV health · analytics

Camera uptime, FPS and event detections.

Energy
Load · Solar · Carbon

Real-time energy mix and CO₂ offset.

AI
Twin Copilot

Natural-language Q&A over live telemetry.

Built on

An open, edge-to-cloud stack

Modbus / BACnet / MQTT gateways feed a time-series lake; a React + Three.js twin renders the story; an AI copilot explains it.

IoT Gateway
MQTT · Kafka
Time-series DB
BIM · IFC
Three.js Twin
AI Copilot
OAuth · RBAC
Edge Runtime

Step inside the building.

Explore all nine floors, drill into Smart Office pilot data, and ask the Twin Copilot anything about energy, air quality or safety.

Launch the Digital Twin