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

A technology of point cloud data and transmission lines, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of weak generalization ability, low degree of automation, and low computing efficiency, so as to ensure segmentation accuracy and reduce computing power. amount of effect

Active Publication Date: 2022-07-12
SHANDONG UNIV OF SCI & TECH
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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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  • Ultra-high voltage transmission line point cloud data semantic segmentation method based on deep learning
  • Ultra-high voltage transmission line point cloud data semantic segmentation method based on deep learning
  • Ultra-high voltage transmission line point cloud data semantic segmentation method based on deep learning

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Embodiment Construction

[0060] The technical solutions of the present invention are further explained below through the examples, but the protection scope of the present invention is not limited in any form.

[0061] This embodiment provides a deep learning-based method for semantic segmentation of point cloud data of ultra-high voltage transmission lines, including the following steps:

[0062] Step 1. Establish a point cloud training data set for ultra-high voltage transmission lines; during the inspection process of ultra-high voltage transmission lines in a certain area, the original point cloud data is obtained based on the airborne lidar. The high-voltage power line tower and its intermediate point cloud data are selected by the scene division method based on the safe buffer distance and used as a scene. Based on this method, the obtained original data is divided multiple times to get N scene data, so as to ensure that the amount of point cloud data in each scene is similar. In this embodiment,...

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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/26G06V10/44G06V10/774G06V10/776G06V10/80G06V10/82G06V20/70G06V20/17G06V20/10G06N3/04G06N3/08G06K9/62
CPCG06N3/084G06N3/045G06F18/217G06F18/253G06F18/214Y04S10/50
Inventor 张晓波刘欢孟昊张倩然王胜利
Owner SHANDONG UNIV OF SCI & TECH
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