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

A method for online detection and recognition of anti-vibration hammer faults based on binocular vision images

A technology of binocular vision and recognition method, which is applied in the field of anti-vibration hammer detection, and can solve the problems of transmission line life, transmission corridor safety threat, damage, shedding fault, etc.

Active Publication Date: 2020-03-31
CHENGDU TOPPLUSVISION TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in reality, anti-vibration hammers often have faults such as displacement faults, damage faults, shedding faults, foreign object interference, etc. These faults will threaten the life of transmission lines and the safety of transmission corridors

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
  • A method for online detection and recognition of anti-vibration hammer faults based on binocular vision images
  • A method for online detection and recognition of anti-vibration hammer faults based on binocular vision images
  • A method for online detection and recognition of anti-vibration hammer faults based on binocular vision images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0099] A method for online detection and identification of anti-vibration hammer faults based on binocular vision images, comprising the following steps:

[0100] Two cameras are used to form a binocular stereo vision system;

[0101] Establish a set S of anti-vibration hammer status attributes;

[0102] In the initial state, two cameras are used to obtain the initial image information with the anti-vibration hammer and the fixed reference object, and the three-dimensional coordinates of the anti-vibration hammer obtained through the initial image information and the three-dimensional coordinates of the fixed reference object are used to obtain the state attribute set of the anti-vibration hammer The initial value S of S 0 ;

[0103] In the current state, the abnormal fault detection of the anti-vibration hammer, when the abnormal fault of the anti-vibration hammer is found, two cameras are used to obtain the current image information of the anti-vibration hammer and the fix...

Embodiment 2

[0108] On the basis of the above embodiments, preferably, since the anti-vibration hammer often has displacement faults, damage faults, shedding faults, and foreign matter interference faults, the state attributes of the anti-vibration hammer we designed are related to the above faults, and the specific expressions are as follows: The anti-vibration hammer state attribute set S includes ι, m, r, n; ι represents the distance between the anti-vibration hammer and the fixed reference object (can represent a displacement fault); m represents the number of iron hammers of an anti-vibration hammer, Under normal circumstances, an anti-vibration hammer has two hammers (which can indicate a damage failure); r indicates the distance from the disturbing object to the anti-vibration hammer (can indicate a foreign object interference failure); n indicates the number of anti-vibration hammers in a certain section of overhead line (It can indicate a shedding fault); then the initial value S ...

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 an on-line detection and recognition method for anti-vibration hammer faults based on binocular vision images, comprising the following steps: adopting two cameras to form a binocular stereo vision system; establishing an anti-vibration hammer state attribute set S; , obtain the initial image information with the anti-vibration hammer and fixed reference object, and obtain the initial value S of the anti-vibration hammer state attribute set S by obtaining the three-dimensional coordinates of the anti-vibration hammer and the three-dimensional coordinates of the fixed reference object through the initial image information 0 ; In the current state, when it is found that the anti-vibration hammer has an abnormal fault, the current image information with the anti-vibration hammer and the fixed reference object is obtained, and the three-dimensional coordinates of the anti-vibration hammer and the fixed reference object are obtained through the current image information to obtain the anti-vibration hammer. The current value S of the hammer state attribute set S t ;Identification of anti-vibration hammer fault type: according to the current value S t with initial value S 0 Calculate the change value △S of the state attribute of the anti-vibration hammer, and judge the failure of the anti-vibration hammer according to △S.

Description

technical field [0001] The invention relates to the detection technology of an anti-vibration hammer, in particular to an on-line detection and recognition method for an anti-vibration hammer fault based on a binocular vision image. Background technique [0002] The overhead transmission line is affected by meteorological conditions such as wind, ice, and low temperature, causing the line to vibrate and gallop. If the vibration frequency is high and the amplitude is small, the wind vibration will cause the overhead wire to be bent repeatedly at the suspension point, which will cause material fatigue. If the frequency of galloping is very low, but the amplitude is large, it is easy to cause phase-to-phase flashover, resulting in serious accidents such as line tripping, power failure or burnt wires. [0003] The anti-vibration hammer is an indispensable part in the safety measures of overhead transmission lines. It is one of the important anti-vibration fittings. The large vi...

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 Patents(China)
IPC IPC(8): G06T7/00G06T7/73G06T7/80
CPCG06T7/0004G06T2207/30184
Inventor 龙学军陆宏伟张小苗姜艾佳
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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