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Digital Twin

BIM-based digital twin platform integrating real-time occupancy data from building spaces.

3D BIM model of a university building used for its digital twin

Challenge

A real university building required device data to be connected to a BIM-based digital twin so that occupancy profiles could be represented by building space and time band rather than treated as generic asset telemetry.

Solution

The integration layer connects local tracking sensors with a BIM based digital twin, processing occupancy data and updating the building information model in real time. Edge processing keeps data private, reduces latency, and enables operation without cloud connectivity.

Benefits

  • Space-level occupancy profiles

  • Time-band occupancy analysis

  • BIM-based digital twin integration

  • Real-time building data synchronization

  • ML-based local tracking

IoT data acquisition

API integration

Data synchronization

Cloud connectivity

Dashboard support

REST APIMQTTbuildingSMART InternationalAmazon Web Services (AWS)LinuxMachine learningWireGuardGo programming language

Technologies:

IoT devices, Cloud services, REST API, MQTT, Data processing, Digital-twin integration, Backend services, Custom CM4 carrier board, Machine Learning (Edge AI), Wireguard, Golang

Methodology:

API-first architecture, System integration, Continuous validation

Team:

3 engineers

Duration:

12 months