Ultra-high voltage transmission line point cloud data semantic segmentation method based on deep learning

Abstract

The invention relates to an ultrahigh-voltage power transmission line point cloud data semantic segmentation method based on deep learning, which belongs to the field of ultrahigh-voltage power transmission line inspection, and specifically comprises the following steps: for actual ultrahigh-voltage power transmission line point cloud data, firstly establishing a deep learning training data set by using a scene division method based on a safety buffer distance; secondly, realizing feature acquisition in a deep learning network model by using a two-step sparse method based on a combination coefficient and a feature abstraction method based on importance of sparse data and local position related information; training the network model to obtain accurate network parameters; and finally, inputting the test sample set into the network to obtain a category label of each point, thereby realizing semantic segmentation of the point cloud data. According to the method, the problems of lack of data sets, low calculation efficiency and low calculation precision in deep learning semantic segmentation of the point cloud data of the power transmission line at present are effectively solved.

Description

technical field [0001] The invention belongs to the field of inspection of ultra-high voltage transmission lines, in particular to a method for semantic segmentation of point cloud data of ultra-high voltage transmission lines based on deep learning. Background technique [0002] As a basic public facility closely related to daily production and life, ultra-high voltage transmission lines are an important part of the power network. With the continuous expansion of the power network scale and the increasing demand for smart city construction, the requirements for the safe operation of ultra-high voltage transmission lines and the reliability of power supply are getting higher and higher. Therefore, the operation and maintenance of transmission lines has become an important part of the power supply industry. important work. In order to ensure the safe and stable operation of power facilities, the power grid operation and maintenance management department needs to conduct peri...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problems of low automation, weak generalization ability, low calculation efficiency, and many preset parameters of the traditional method, the present invention provides a method based on the point cloud data obtained in the inspection of ultra-high voltage transmission lines, and adopts the method of deep learning to identify points Methods for cloud category information

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