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Indoor navigation and information sharing for collaborative fire emergency response with BIM and multi-user networking.
- Source :
-
Automation in Construction . Apr2023, Vol. 148, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
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. • A two-stage pathfinding algorithm is proposed to improve computational efficiency. • Particle filter-based IMU and Wi-Fi fusion is developed to reduce positioning error. • A data exchange mechanism is built to supply emergency-related IFC properties. • A multi-user system with functions specialized for information sharing is created. • System feasibility and functionality are verified by a case study and experiments. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09265805
- Volume :
- 148
- Database :
- Academic Search Index
- Journal :
- Automation in Construction
- Publication Type :
- Academic Journal
- Accession number :
- 161939238
- Full Text :
- https://doi.org/10.1016/j.autcon.2023.104781