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.
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Zhu et al. (2024) studied this question.
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