Vibration-proof hammer fault online detection and identification method based on binocular vision image

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: 2017-05-24
CHENGDU TOPPLUSVISION TECH CO LTD
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  • 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

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  • Vibration-proof hammer fault online detection and identification method based on binocular vision image
  • Vibration-proof hammer fault online detection and identification method based on binocular vision image
  • Vibration-proof hammer fault online detection and identification method based on binocular vision image

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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, use two cameras to obtain the initial image information with the anti-vibration hammer and the fixed reference object, and obtain the three-dimensional coordinates of the anti-vibration hammer and the three-dimensional coordinates of the fixed reference object through the initial image information 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 fixed reference obj...

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 ...

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Abstract

The invention discloses a vibration-proof hammer fault online detection and identification method based on a binocular vision image. The method comprises the following steps of using two cameras to form a binocular stereo vision system; establishing one vibration-proof hammer state attribute set S; under an original state, acquiring initial image information possessing a vibration-proof hammer and a fixed reference object, through the initial image information, acquiring a three-dimensional coordinate of the vibration-proof hammer, a three-dimensional coordinate of the fixed reference object and then acquiring an initial value S0 of the vibration-proof hammer state attribute set S; under a current state, when the vibration-proof hammer is discovered to have an abnormal fault, acquiring current image information possessing the vibration-proof hammer and the fixed reference object, through the current image information, acquiring the three-dimensional coordinate of the vibration-proof hammer, the three-dimensional coordinate of the fixed reference object and then acquiring a current value St of the vibration-proof hammer state attribute set S; identifying a vibration-proof hammer fault type; and according to the current value St and the initial value S0, calculating a changing value delta S of a vibration-proof hammer state attribute, and according to the delta S, determining and acquiring a vibration-proof hammer fault condition.

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

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Application Information

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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
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