Laser-point-cloud-based tower characteristic point automatic identification and inclination parameter automatic measurement method

An automatic identification, laser point cloud technology, applied in the field of computer vision, can solve the problems of insufficient reliability of communication power supply, complex data processing, difficult installation and adjustment, etc.

Pending Publication Date: 2020-10-27
XI AN JIAOTONG UNIV
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Problems solved by technology

There are still some deficiencies and shortcomings in the actual application of the existing tower tilt detection methods: the installation of the tower tilt online monitoring device has problems such as insufficient reliability of communication power supply and difficulty in installation and adjustment, which also brings additional traffic to the line inspection personnel. It is only suitable for fixed-point monitoring of a small number of towers. For regional tower tilt monitoring, the benefit-to-cost ratio is not high; using theodolite, total station and other surveying and mapping methods to perform manual measurement tower by tower, the workload is large and the efficiency is low. For special It is extremely difficult to measure pole towers (such as towers in mountainous areas), so for the sections that need to be surveyed, it is time-consuming, costly and difficult; remote sensing monitoring based on SAR satellites has the advantages of wide monitoring range and large area, etc. Advantages, but there are high requirements for the acquisition cycle and image resolution of remote sensing images, the cost of data acquisition is huge, the data processing is complicated, and it is difficult to comprehensively promote

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  • Laser-point-cloud-based tower characteristic point automatic identification and inclination parameter automatic measurement method
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  • Laser-point-cloud-based tower characteristic point automatic identification and inclination parameter automatic measurement method

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Embodiment Construction

[0052] The present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments.

[0053] The present invention is based on the laser point cloud automatic identification of tower feature points and the automatic measurement method of tilt parameters, the steps are as follows:

[0054]Step 1: Take pictures of the tower with a drone at a distance of 20-40m horizontally and 20-40m vertically from the outer edge of the tower to obtain point cloud data of the tower.

[0055] Step 2: After obtaining the original point cloud data, it is necessary to preprocess the point cloud data to generate a point cloud model with a three-dimensional space, as shown in the attached figure 1 shown.

[0056] Step 3: According to the three-dimensional projection characteristics of typical towers and the geometric structure of the tower target feature points of the laser point cloud, realize the automatic recognition of the tower target and ...

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Abstract

The invention discloses a laser-point-cloud-based tower characteristic point automatic identification and inclination parameter automatic measurement method. The method comprises the following steps:preprocessing acquired original point cloud data; then, extracting towers from the processed point cloud data by adopting a normalized digital surface model, a maximum between-cluster variance method,connected domain segmentation and point cloud density segmentation, and finally, obtaining the inclination angle of the towers through a horizontal section method, thereby realizing laser point cloud-based tower feature point automatic identification and inclination parameter automatic measurement. According to the invention, automatic identification and inclination measurement can be carried outon the towers, so that manpower and material resources are greatly saved; and the method has important research significance for stable operation of a power system.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method for automatic identification of tower feature points and automatic measurement of tilt parameters based on laser point clouds. Background technique [0002] The inspection of transmission lines in our country is mainly carried out manually, such as relying on ground vehicles or hand-held instruments for detection, and also through satellite remote sensing to detect the deformation of towers. At present, many exploratory researches are still being done in this area. There are still some deficiencies and shortcomings in the actual application of the existing tower tilt detection methods: the installation of the tower tilt online monitoring device has problems such as insufficient reliability of communication power supply and difficulty in installation and adjustment, which also brings additional traffic to the line inspection personnel. It is only suitable for fixe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/89G01S7/48G01C9/00G06T7/187G06T5/00G06T7/13
CPCG01S17/89G01S7/4802G01C9/00G06T7/187G06T5/002G06T7/13G06T2207/10044G06T2207/10028G06T2207/20061
Inventor 曹晖田泽英王涛薛霜思袁廷翼楼润枫解明辉
Owner XI AN JIAOTONG UNIV
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