Design of an Unmanned Photovoltaic Power Station Fire Prevention Online Monitoring System Based on YOLOv3 Target Recognition
This article proposes an unmanned online fire prevention monitoring system for photovoltaic power stations based on the YOLOv3 target recognition algorithm to address the issues of frequent fire incidents and difficult monitoring.The system achieves early warning and accurate positioning of photovoltaic power plant fires through key technologies such as multi-sensor data fusion and heterogeneous network communication.The experimental results show that the system has achieved excellent levels in fire detection accuracy,data transmission efficiency,and user interaction experience,which can significantly improve the intelligence level of photovoltaic power station operation and maintenance.
photovoltaic power stationfire monitoringYOLOv3multi sensor data fusion
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