Indoor navigation and information sharing for collaborative fire emergency response with BIM and multi-user networking

Mun On Wong, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Collaboration in indoor fire emergencies requires participants to share various information regarding individuals, fires, and resources. To facilitate response actions, this study develops a system to provide the necessary information, calculate route guidance for escape and rescue, track victim locations, and share resources with participants promptly. The system includes a pathfinding module using geometries of building information models, a positioning module fusing inertial sensor data and wireless signals via a particle filter, an information exchange module that delivers emergency-related properties, and an information sharing module that distributes information through a multi-user environment. Moreover, a two-stage pathfinding algorithm and a hybrid positioning approach are proposed to improve computational efficiency and localization accuracy. Through comparative evaluation, the system is validated to reduce the computational time by 89.29% and lessen the positioning error to 1.36 m. The study is expected to provide explicit insights into developing digital twins for collaborative emergency response.

Original languageEnglish
Article number104781
JournalAutomation in Construction
Volume148
DOIs
StatePublished - Apr 2023

Keywords

  • Building information modeling (BIM)
  • Indoor localization
  • Industry foundation classes (IFC)
  • Information sharing
  • Multi-sensor data fusion
  • Multi-user system
  • Particle filter
  • Shortest pathfinding algorithm

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