Transmission line path selection is an important part of transmission line engineering design, which directly affects the construction cost and disaster resistance of transmission line engineering. At present, designers mainly rely on the human eye to identify and judge sensitive objects in 3D satellite cloud images, which is not only time-consuming and laborintensive, but also easily leads to missed judgments and misjudgments. This paper uses the YOLOv5 model and learns from a large number of samples to quickly and accurately judge, identify and label various sensitive objects in the 3D satellite cloud image, which can effectively improve the design efficiency of transmission lines and reduce design costs.

As the development of power system, more and more transmission line engineering are turning into cable design in city or some built-up areas. Three-dimensional design is a new design method which is more suitable for cable project than traditional CAD 2D design. This paper shows the several work we have made to develop the three-dimensional design and introduces the main design process for the cable three-dimensional design. Finally, a case of hybrid overhead line and cable project is been shown, which shown the advantages of the three-dimensional design for the cable project.