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Visual statistical method for counting underground drill rods

A statistical method and drill pipe technology, applied in the field of visual inspection, can solve the problems of low anti-interference and low detection accuracy, and achieve the effect of high recognition accuracy, reduced error and good use effect.

Active Publication Date: 2020-08-28
XIAN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a visual statistical method for downhole drill pipe counting, which solves the problem of reduced detection accuracy due to low anti-interference in existing detection methods

Method used

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  • Visual statistical method for counting underground drill rods
  • Visual statistical method for counting underground drill rods
  • Visual statistical method for counting underground drill rods

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0037] The present invention is a kind of visual statistical method for downhole drilling rod counting, such as figure 1 As shown, the specific steps are as follows:

[0038] Step 1. Collection and division of data sets: collect drill pipe unloading video through the original underground monitoring and drilling equipment of coal mine enterprises, store and deframe the drill pipe unloading video, normalize the image and store all single-frame images; establish The two-category data set is divided into the corresponding category of the database according to the content of the single frame image;

[0039] The collected rod unloading video images include the complete rod unloading action of the operator and the head of the drilling rig; when disassembling the frame, the unloading drill pipe video is dismantled at the rate of one image per second...

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Abstract

The invention discloses a visual statistical method for counting underground drill rods, which specifically comprises the following steps of: firstly, storing a drill rod unloading video, splitting frames, and normalizing the drill rod unloading video; establishing a binary classification data set, and dividing into corresponding categories of a database according to the content of the single-frame image; increasing the number of data sets through a preprocessing method combining rotation, overturning and brightness enhancement; training an improved self-adaptive learning rate ResNet-50 network; detecting the category of each frame of image in the video and outputting a confidence coefficient percentage; and when all the images pass through an adaptive learning rate ResNet-50 model, clearing confidence coefficients of all second-class non-rod-unloading results in the CSV file, filtering video output confidence coefficients by using an integral method, and finally, calculating the number of unloaded rods in the video through a falling edge. The method is high in detection precision, errors caused by model detection can be effectively reduced, the final detection precision is improved, and meanwhile the problem that the detection precision is reduced due to shielding is avoided.

Description

technical field [0001] The invention belongs to the technical field of visual detection, and in particular relates to a visual statistical method for counting downhole drill pipes. Background technique [0002] As a major killer that endangers the safety of underground production in our country, gas always threatens the life safety of underground workers. In actual production, the gas in the coal seam is extracted by drilling pipes, and there is a quantitative requirement for the number of drills, so as to judge the adequacy of the gas extraction capacity. This makes counting the number of drill pipes a problem that needs to be considered when measuring the drilling capacity. How to automatically count the number of drill pipes to avoid potential harm to production safety due to workers' false reports and missed reports is a problem that needs to be solved at present. Thereby reducing the hidden danger of gas safety, ensuring the life safety of underground workers, and redu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06M11/00G06N3/04G06N3/08
CPCG06M11/00G06N3/08G06V20/41G06N3/045Y02D10/00
Inventor 杜京义郝乐陈瑞史志芒陈宇航董刚张后斌刘赟超
Owner XIAN UNIV OF SCI & TECH
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