Abstract
Abstract. Constructing the transmission tower from LiDAR point clouds is a fundamental step for smart grid. However, currently the transmission tower construction method relies heavily on manual editing, which is far from the practical industrial application. This paper proposes a model-driven based method to realize 3D construction of transmission tower fast and accurately. This method first generates different types of 3D tower models. Then, it calculates the direction characteristic of point clouds distribution using the obtained transmission towers point clouds. While finding the principal direction of transmission towers, the local coordinates of the transmission towers are settled. And then the key points are captured in a semi-automatically way. According to these key points, the transmission tower model that best matches the point clouds is selected using the model matching algorithm. Comparing with the existing traditional manual editing methods, the method proposed in this paper can ensure the integrity and accuracy of the reconstructed tower model using the model-driven based strategy. The proposed method makes a trade-off between manual editing and efficiency, which guarantees the quality of tower modelling. And the feasibility and practicability of the proposed method are verified by the experiments on real-world point clouds data.
Highlights
Taking the network operation and management for power energy development into consideration, it is currently necessary to establish a smart grid system, which is characterized by informatization, automation, and interaction (Chen et al, 2009, Liu et al, 2012)
To tackle the problem of 3D modelling of transmission towers, this paper proposes a model-driven reconstruction method of transmission towers from laser point clouds with high efficiency and quality
The method proposed in this paper reduces the time cost to tenth of the traditional CAD tower modelling method, significantly improving the efficiency
Summary
Taking the network operation and management for power energy development into consideration, it is currently necessary to establish a smart grid system, which is characterized by informatization, automation, and interaction (Chen et al, 2009, Liu et al, 2012). The electricity transmission tower is a key component in the transmission network system, and its 3D model is a vital part of the digital and intelligent power grid. Because the transmission lines are generally long while the terrain is always complicated, especially for some power lines in complex terrain areas such as mountains and swamps, it is difficult to obtain the transmission grid data by traditional measurement methods. Light Detection And Ranging (LiDAR) based on the UAV platform has become an important technique for the acquisition of spatial-temporal data of transmission lines due to its flexible control methods and low operating costs (Ye et al, 2015, Tan et al, 2012)
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