Paper
6 May 2024 Research on the application of Internet of Things-based particle size identification fire detectors in high-speed trains
Xiangkai Xu, Shouchun Zhang, Guorui Yin
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 1310742 (2024) https://doi.org/10.1117/12.3029262
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
Because there is no uniform calibration method of particle size threshold for particle size identification fire detectors in high-speed trains, this paper proposes to establish a simulation model based on the particle Mie scattering theory, and calibrate the particle size threshold using DEHS aerosol. Because the number of fire detectors in high-speed trains is large and the installation locations are scattered, resulting in complex wiring and susceptibility to vibration and electromagnetic interference, this paper investigates the application of Internet of Things (IoT) technology and low-power technology in high-speed trains. After the prototype design, ground test and prototype train test, the feasibility of the program is proved.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiangkai Xu, Shouchun Zhang, and Guorui Yin "Research on the application of Internet of Things-based particle size identification fire detectors in high-speed trains", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 1310742 (6 May 2024); https://doi.org/10.1117/12.3029262
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fire

Atmospheric particles

Sensors

Aerosols

Particles

Internet of things

Batteries

Back to Top