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Shaft bottom shaft tail rope fracture detection method based on template matching

A template matching and detection method technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as potential safety hazards, low efficiency, and broken stocks

Pending Publication Date: 2020-10-30
华夏天信物联科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The shaft tail rope at the bottom of the coal mine is an important part of the hoisting system at the bottom of the shaft. Serious deflection of the tail rope during operation, falling objects in the shaft, etc. can cause wear, broken wires, broken strands, and kinks of the tail rope, resulting in greater safety hazards
At present, coal mines install monitoring cameras to monitor the status of the tail rope manually in real time, which is inefficient

Method used

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  • Shaft bottom shaft tail rope fracture detection method based on template matching
  • Shaft bottom shaft tail rope fracture detection method based on template matching
  • Shaft bottom shaft tail rope fracture detection method based on template matching

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Embodiment Construction

[0030] The embodiments of the present invention are given below in conjunction with the drawings to describe the technical implementation of the present invention in detail.

[0031] Such as figure 1 As shown, the present invention provides a method for detecting the breakage of the bottom wellbore tail rope based on template matching. Based on monocular vision, the video stream data is decoded from the camera, and the video image is read frame by frame. The initial state is from the first frame image Select the tail rope rectangular area as the tail rope template, and then use the template matching algorithm to search for the image area most similar to the tail rope template in the image for each subsequent frame of image, and judge whether the similarity threshold of the most similar region obtained by matching is greater than D, and D is similar The similarity threshold is the similarity threshold between the template image and the matching area image of the same size in th...

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Abstract

The invention provides a shaft bottom shaft tail rope fracture detection method based on template matching. The detection problem of fracture of the shaft bottom tail rope is solved. The method includes: based on monocular vision, decoding the video stream data from the camera; reading video images frame by frame; in an initial state, selecting a tail rope rectangular area from a first frame of image to serve as a tail rope template; and searching an image region most similar to the tail rope template in each frame of image by using a template matching algorithm, judging whether a similarity threshold value of the most similar region obtained by matching is greater than D, determining that the tail rope is not broken if the similarity threshold value is greater than D, and otherwise, triggering a tail rope breaking alarm.

Description

technical field [0001] The invention relates to a safety monitoring method, in particular to a template-matching-based detection method for tail rope breakage in a wellbore at the bottom of a well. Background technique [0002] The shaft tail rope at the bottom of the coal mine is an important part of the hoisting system at the bottom of the shaft. Serious deflection of the tail rope during operation and falling objects in the shaft can cause wear, broken wires, broken strands, and kinks of the tail rope, resulting in greater safety hazards. At present, coal mines install monitoring cameras to monitor the status of the tail rope manually in real time, which is inefficient. Contents of the invention [0003] The present invention provides a method for detecting the fracture of the bottom shaft tail rope based on template matching, which solves the detection problem of the bottom shaft tail rope fracture, and its technical scheme is as follows: [0004] A method for detecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0004G06V10/751G06F18/22
Inventor 黄鑫王静宜瞿开毅李何
Owner 华夏天信物联科技有限公司
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