Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vision-based power transmission line tower online identification and inclination detection method

A transmission line and inclination detection technology, which is applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of difficulty in judging the inclination degree of towers, time-consuming and labor-intensive efficiency, and poor real-time performance, so as to achieve low degree of manual participation and improve recognition The effect of efficiency and low cost

Pending Publication Date: 2020-03-17
LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
View PDF7 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the following technical problems existing in the prior art: (1) The algorithm for target detection of towers using deep learning requires a large number of effective data sets, high cost, and poor real-time performance; (2) It is difficult to distinguish the degree of inclination of towers, and manual measurement is time-consuming laborious and inefficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vision-based power transmission line tower online identification and inclination detection method
  • Vision-based power transmission line tower online identification and inclination detection method
  • Vision-based power transmission line tower online identification and inclination detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will now be described in further detail in conjunction with the accompanying drawings, and the specific embodiments are as follows.

[0040] Such as figure 1 As shown, a vision-based online recognition and tilt detection method for transmission line poles and towers disclosed in this embodiment, the specific implementation steps are as follows:

[0041] Step 1: Correct the angle of the UAV aerial picture to obtain the angle-corrected UAV aerial picture;

[0042] Input the horizontal inclination θ of the inclination sensor when the UAV acquires pictures, and use the acquired pictures to

[0043] The affine transformation matrix corrects the angle of the image in the opposite direction.

[0044] Step 2: Preprocess the corrected picture to obtain the picture with enhanced edge information and extract line segment features using the LSD (Line Segment Detector) algorithm after preprocessing

[0045] Firstly, the image is grayscaled, and the R, G, a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a vision-based power transmission line tower online identification and inclination detection method, and belongs to the field of image processing and power transmission line detection. The implementation method comprises the following steps: carrying out angle correction on an aerial photo of the unmanned aerial vehicle; preprocessing the acquired image and extracting linesegment features by using an LSD algorithm; filtering the obtained line segment features of the picture to obtain line segments with the filtered inclination smaller than a preset threshold value, andfusing the filtered interrupted line segments meeting a preset line segment fusion standard; searching an outermost tower foot line segment of the tower according to the outermost tower foot characteristics, and identifying and positioning a tower area, wherein the outermost tower foot characteristics refer to that the outermost tower foot line segment of the tower meets two corresponding constraint conditions; calculating included angles between the central lines of the tower foot line segments on the outermost sides of the two towers and the vertical direction, the included angles being thecalculated inclinations of the towers in the direction, and respectively calculating the inclinations of the towers in four directions around the towers to realize inclination detection of the towers.

Description

technical field [0001] The invention belongs to the field of image processing and transmission line detection, in particular to an LSD (Line Segment Detector)-based online recognition and tilt detection method for towers. Background technique [0002] In the maintenance work of power grid transmission lines, the fault analysis of transmission line towers is a very important direction. As the main support of the transmission line, the tower directly affects the safe operation of the power grid. [0003] The method of manual inspection has high time cost, many human resources required, low efficiency and high risk, which can no longer meet the new inspection requirements. In recent years, with the advancement of drone technology, there are more and more occasions where drones are used instead of manual labor, and drone inspections have become an emerging inspection method. UAV inspection has the advantages of low cost and simple operation, and is suitable for the maintenance...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0004G06V20/176
Inventor 邵云峰王宏超范益民权笑天王进王红梅刘海艳刘永强高虹李皓任卫宇马中静
Owner LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com