基于无线传感器网络的输配电线路火灾预警方法研究

As a critical component of power transmission in accelerator devices, transmission and distribution lines pose significant fire hazards that threaten both the normal operation of the equipment and personnel safety. Therefore, designing an efficient and accurate fire early warning system is of paramount importance. To address the challenge of wide coverage and the difficulties in acquiring state parameters for the transmission and distribution lines of accelerator devices, we propose a hybrid wireless sensor network integrates Wi-Fi and LoRa technologies. This approach effectively enhances network coverage and enables real-time transmission of sensor data. To mitigate the potential issues of false alarms and missed alarms inherent in a single fire early warning method, we adopt multi-source sensor data fusion technology alongside image object detection technology, and implementing a two-level decision-making mechanism to improve fire early warning accuracy. Tests validate the feasibility of Wi-Fi and LoRa hybrid networking, demonstrating that the two-level fire decision-making mechanism achieves higher accuracy compared to traditional single fire early warning methods. This research significantly contributes to enhancing the operational safety of accelerator facilities and provides robust technical support for fire early warning practices.