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A method for automatic identification and feature extraction of blasting residual holes

An automatic identification and feature point technology, applied in image analysis, image enhancement, instruments, etc., can solve the problems of low measurement accuracy, incomplete measurement samples, and difficult measurement.

Active Publication Date: 2019-06-21
DACHANG CONSTR GRP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the problems of incomplete measurement samples, high measurement difficulty, and low measurement accuracy in the existing technology of manual identification of blasting residual holes, the purpose of the invention is to provide an automatic identification of blasting residual holes based on three-dimensional point cloud data of smooth blasting Method and Automatic Extraction Method of Blasting Residual Hole Features

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  • A method for automatic identification and feature extraction of blasting residual holes
  • A method for automatic identification and feature extraction of blasting residual holes
  • A method for automatic identification and feature extraction of blasting residual holes

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Embodiment 1

[0066] The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.

[0067] Embodiment 1 provides a method for automatic identification of blasting residual holes, such as figure 1 shown, including:

[0068] Step S10, three-dimensional point cloud data collection;

[0069] Step S20, 3D point cloud data preprocessing, the preprocessing includes splicing, denoising, and downsampling;

[0070] Step S30, extracting curvature features of the 3D point cloud;

[0071] The three-dimensional point cloud curvature feature extraction adopts the moving least squares method to calculate the curvature feature, that is, searches for each point its adjacent points to fit the surface and calculate the curvature value of th...

Embodiment 2

[0088] Embodiment 2 provides a method for automatic identification and feature extraction of blasting residual holes on the basis of the automatic identification of blasting residual holes in embodiment 1, such as image 3 As shown, steps S10-S50 are the automatic identification of blasting residual holes, and steps S60-S90 are the feature extraction of blasting residual holes and evaluation of smooth blasting.

[0089]Among them, step S40 fits the spatial straight line according to the degree of fitting from high to low, removes the curvature feature points within the threshold range identified as residual holes, and continues to fit the spatial straight line. The exit condition of step S50 is: first judge the fitted The number of straight lines, if the total number of blast holes has been reached, then directly enter step S60;

[0090] If the number of fitted straight lines is less than the total number of blast holes, the first condition judgment and the second condition ju...

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Abstract

The invention relates to a blasting three-dimensional point cloud data processing technology, in particular to an automatic identification method for blasting incomplete holes. The method comprises astep 1: performing cloud point original data processing; a step 2 of calculating the curvature features of pre-processed point cloud data and extracting the curvature feature points; a step 3 of usingthe curvature feature points to fit the space line, and identifying the incomplete holes based on the space line. The method realizes automatic, high-speed, high-efficiency and high-precision identification of blasting incomplete holes by extracting the curvature feature points of the high-precision three-dimensional point cloud data to fit the incomplete hole position axes, and solves the defects that the traditional modes are incomprehensive in incomplete hole identification range, difficult in identification, low in efficiency, and poor in consistency of identification standards. The invention provides an automatic blasting incomplete hole identification method that is suitable for future intelligent and refined blasting requirements. The invention also provides an automatic extractionmethod for blasting incomplete hole features on the basis of the above automatic identification method for blasting incomplete holes.

Description

technical field [0001] The invention relates to blasting three-dimensional point cloud data processing technology, in particular to an automatic identification and feature extraction method for blasting residual holes. Background technique [0002] With the development of blasting technology and the popularization of advanced blasting technology, the requirements for rapid, accurate and stable blasting quality evaluation are put forward. [0003] The semi-porosity is an important index to evaluate the quality of smooth surface blasting. The calculation of the semi-porosity needs to measure the radian and length of the residual hole, and how to identify the residual hole after blasting is the core problem of the calculation of the semi-porosity. In the prior art, the naked eye is used for on-site identification and judgment of the blast hole, or manual identification and judgment is performed in the later stage after taking pictures of the excavation surface. The length meas...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/60G06T7/73G06T3/40G06T3/60
CPCG06T3/4038G06T3/604G06T7/0002G06T7/60G06T7/73G06T2207/10028
Inventor 管志强张中雷施富强李徐然陈亚建尹作良余舟廖学燕蒋耀港龚志刚李锋马宏昊
Owner DACHANG CONSTR GRP