Abstract: The disclosure provides a catenary icing detection method based on infrared imaging and meteorological monitoring. In the disclosure, infrared illumination is used to detect the target, real-time images of the target are obtained through an infrared imaging sensor, and meteorological data are synchronously obtained through a meteorological monitoring unit, and normalized fusion processing is performed; the data are stored in a front-end edge computing unit, and through the deep learning model, the states of water accumulation, snow accumulation and icing of the target are automatically identified, and then sent to a background system through a transmission unit.

Abstract: The disclosure provides a catenary icing detection method based on infrared imaging and meteorological monitoring. In the disclosure, infrared illumination is used to detect the target, real-time images of the target are obtained through an infrared imaging sensor, and meteorological data are synchronously obtained through a meteorological monitoring unit, and normalized fusion processing is performed; the data are stored in a front-end edge computing unit, and through the deep learning model, the states of water accumulation, snow accumulation and icing of the target are automatically identified, and then sent to a background system through a transmission unit.

Abstract: A fusion method of satellite-based and ground-based lightning data includes S1, selecting valid data in the satellite-based and ground-based lightning data; S2, determining a time threshold for fusing the satellite-based and ground-based lightning data; S3, determining a spatial threshold for fusing the satellite-based lightning data and the ground-based lightning data; and S4, constructing a data fusion scheme to obtain a fused all lightning data set.