Double-shockproof-hammer displacement identification method based on visible light image
A recognition method, anti-vibration hammer technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of not being able to effectively identify the distance between anti-vibration hammer and anti-vibration hammer, and achieve the effect of increasing the running speed, reducing the traversal range, and simple principle
Active Publication Date: 2020-02-18
XI'AN POLYTECHNIC UNIVERSITY
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[0005]
The purpose of the present invention is to provide a displacement recognition method for dual anti-vibration hammers based on visible light images, which s
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[0022] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0023] refer to figure 1 , the present invention is based on the visible light image double anti-vibration hammer displacement recognition method, specifically according to the following steps:
[0024] Step 1, utilize the high-definition pan-tilt camera carried by the drone to collect the anti-vibration hammer image I on the transmission line 1 , and then on the anti-vibration hammer image I 1 Perform image grayscale, image enhancement and image filtering in sequence to remove interference noise and enhance image contrast to highlight the anti-vibration hammer; then separate the transmission wire and anti-vibration hammer from the background through threshold segmentation to obtain the image of the foreground area of interest I 2 ;
[0025] Step 2, to the foreground area image I that step 1 separates 2 Carry out straight line hough tr...
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The invention discloses a double-shockproof-hammer displacement identification method based on a visible light image, and the method comprises the steps: 1) collecting a shockproof hammer image I1 ona power transmission line, sequentially carrying out the image graying, image enhancement and image filtering, and obtaining a foreground region image I2 through threshold segmentation; 2) carrying out linear hough transformation on the foreground region image I2 to obtain a lead position marking graph I3; 3) based on the two end points of the marked line segment, defining a frame selection area as a rectangular area graph I4 for template matching; 4) establishing an inverted T-shaped template; 5) establishing a new matching template P, and calculating the transverse pixel width w of the shockproof hammer; 6) traversing in the rectangular area graph I4 by using the matching template P to obtain a stockbridge damper marking graph I7, and calculating the pixel distance l, and 7) comparing the pixel distance l with the transverse pixel width w to determine whether the stockbridge damper is displaced or not. The method is simple in principle, intuitive and easy to implement, and the position state condition of the stockbridge damper can be monitored intelligently in real time.
Description
technical field [0001] The invention belongs to the technical field of transmission line fault detection and image processing, and relates to a displacement recognition method of double anti-vibration hammers based on visible light images. Background technique [0002] The transmission line is the link of electric energy transmission. When the transmission line erected outdoors is subjected to a stable breeze, a Karman vortex that alternates up and down will be formed behind it, causing it to be subjected to an up and down alternating pulse force for a long time, which in turn triggers the transmission wire Fatigue, broken strands, and even wire breakage and tower collapse accidents. At present, anti-vibration hammers are widely used in my country to absorb or transfer vibration energy, so as to eliminate the periodic resonance of wires. Once the clamping force of the anti-vibration hammer line is insufficient, the anti-vibration hammer will be displaced, causing it to be u...
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Login to View More IPC IPC(8): G06T7/00G06T7/10
CPCG06T7/001G06T7/10G06T2207/10004
Inventor 张烨伍逸群黄新波章小玲高玉菡
Owner XI'AN POLYTECHNIC UNIVERSITY