Campus 3D Spatial Digital Twin & Energy Visualizer
A web-accessible high-fidelity 3D digital twin of the engineering college campus streaming live IoT sensor telemetry and solar energy yields.
Project Overview
Constructed using drone photogrammetry, high-precision LiDAR scans, and WebGL optimization. The digital twin models over 45 acres of campus terrain, academic blocks, and solar power installations, feeding real-time power consumption metrics into interactive spatial dashboards.
Problem Statement
Campus facilities management relied on disparate analog meters and siloed spreadsheets, making energy anomaly detection and spatial resource planning inefficient.
Engineered Solution
An interactive, lightweight browser-based WebGL digital twin that integrates MQTT IoT sensor streams with spatial 3D building models for instant visual analytics.
Technologies & Toolchains
Project Gallery
Student Development Team
- Arun Balaji (CSE - Final Year)
- Deepak K. (Mechanical - Final Year)
- Sneha M. (IT - 3rd Year)
Faculty & Industry Mentor
Prof. K. Venkatesh, Head - Digital Infrastructure
Demonstrated Outcome & Results
Deployed on the college intranet for estate maintenance. Identified peak-load HVAC discrepancies resulting in a measurable 12% campus energy conservation.
