Power transmission line icing early warning method and system based on deep learning in extreme weather

The invention belongs to the field of data prediction and early warning, and provides a power transmission line icing early warning method and system based on deep learning in extreme weather, which considers environmental factors and operation conditions of a power transmission line, and corrects the environmental factors according to characteristics of a power transmission line layout area. The power transmission line icing prediction model is established based on deep learning, and on-line early warning of icing severity is performed on the basis of icing trend on-line evaluation, so that the prediction accuracy can be improved, and the actual operation condition of the power transmission line can be better met. 本发明属于数据预测和预警领域，提供了一种极端天气下基于深度学习的输电线路覆冰预警方法及系统，本发明考虑环境因素和输电线路的运行工况，并根据输电线路布设区域特征对环境因素进行修正，基于深度学习建立输电线路覆冰预测模型，在覆冰趋势在线评估的基础上，进行覆冰严重度的在线预警，能够提高预测的准确性，更加符合输电线路的实际运行工况。