Electric tower intelligent classification tower arrangement method based on deep learning

The invention relates to an electric tower intelligent classification tower arrangement method based on deep learning. Comprising the following steps: S1, acquiring a plurality of corresponding transmission line path data sets based on data characteristics of a plurality of road network open resources, and preprocessing the transmission line path data sets to obtain corresponding preprocessed data sets; s2, obtaining a corresponding electric tower data set, and making a label used for training the deep neural network model; s3, adopting a classification deep neural network model with an attention mechanism to perform classification processing on each node in the preprocessed data set to obtain an electric tower type; and S4, visualizing an algorithm result, and providing an external interface. 本发明涉及一种基于深度学习的电塔智能分类排塔方法。包括：步骤S1、基于多个路网开放资源的数据特点，获取相应的多个输电线路路径数据集，对所述输电线路路径数据集进行预处理，获取相应的预处理数据集；步骤S2、获取相应的电塔数据集，制作用于训练深度神经网络模型的标签；步骤S3、采用带有注意力机制的分类深度神经网络模型，对所述预处理数据集中的各个节点进行分类处理，获取电塔类型；步骤S4、算法结果可视化，并提供对外使用接口。