Paper
6 May 2024 Automotive fire alarm system based on multi-sensor fusion
Hui Zhu, Zhen Lu, He Jin, Yaoyao Zhu
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131070P (2024) https://doi.org/10.1117/12.3029223
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
In order to avoid serious losses caused by automotive fires and achieve early warning of automotive fires, this system compares the process and products of automotive fires, and uses point type smoke detectors, point type temperature detectors, and cable type linear temperature detectors to monitor several parameters with obvious fire characteristics in the early stage of fire occurrence. The system utilizes D-S evidence theory to fuse and analyze multi-sensor data to achieve the judgment of the same target. The accuracy and reliability of the system's early warning have been verified through early warning experiments on automotive fires.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hui Zhu, Zhen Lu, He Jin, and Yaoyao Zhu "Automotive fire alarm system based on multi-sensor fusion", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131070P (6 May 2024); https://doi.org/10.1117/12.3029223
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KEYWORDS
Fire

Sensors

Information fusion

Signal processing

Data fusion

Sensor fusion

Data processing

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