Digital Twin Fire Alarm Verification System
Research project using Digital Twin data to reduce false fire alarms in institutional buildings.
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Summary
Overview
Proposed a Digital Twin-enabled early warning system to improve fire alarm interpretation alongside existing certified infrastructure. Monash recorded 196 false alarms in 2025, highlighting the need for better contextual decision support.
Team: Sihong Lin, Pou Chon Wong, Krishiraj Santchurn, Hao Yu Wong
Key contributions
- Investigated Digital Twin applications in smart building and fire safety systems.
- Supported multi-parameter monitoring across temperature, CO₂, oxygen, humidity, and particulates.
- Helped develop event classification logic for likely fire, probable false alarm, and uncertain conditions.
- Contributed to a dashboard concept for real-time monitoring and historical trend analysis.
Outcome
Delivered a research framework showing how Digital Twin data can reduce nuisance alarms and improve facility manager response.
Key learnings
Combined environmental sensor data with historical alarm records.
Developed a framework to classify likely fire, false alarm, and uncertain events.
Applied Digital Twin thinking to building safety and facility management.