Title: Research on fire alarm system of the intelligent building based on information fusion

Authors: Sun Xuejing

Addresses: School of Municipal and Environmental Engineering, Jilin Jianzhu University, Changchun City, Jilin Province, China

Abstract: In order to effectively reduce the hazards caused by fire and improve the accuracy of fire alarm systems, this paper proposes to use STM32 micro-controller as the control core, use the communication method of Zigbee wireless communication technology combined with CAN bus technology, apply the QPSO-BP neural network algorithm based on multi-sensor information fusion method to fire alarm judgment, and use the fire protection partition in the building as the basis for the distribution of distributed intelligent building fire alarm system. The results show that the distributed intelligent building fire alarm system designed in this paper meets the design requirements of the system while fully considering the economic benefits, makes up for the shortcomings of the traditional fire alarm system, and the algorithm output results are accurate and reliable, providing a reference for the design of building fire alarm systems.

Keywords: intelligent building fire alarm; information fusion; QPSO-BP neural network algorithm; Zigbee technology.

DOI: 10.1504/IJWMC.2025.146630

International Journal of Wireless and Mobile Computing, 2025 Vol.28 No.4, pp.389 - 398

Received: 01 Jul 2022
Received in revised form: 26 Dec 2022
Accepted: 12 Jan 2023
Published online: 10 Jun 2025 *

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