Reliable method for verifying fragmentation distribution of blasting lumps

A technology of degree distribution and explosion, applied in image analysis, image data processing, special data processing applications, etc., can solve problems such as poor picture definition, and achieve the effect of fast statistical speed, high efficiency and high resolution

Active Publication Date: 2018-05-25
UNIV OF SCI & TECH LIAONING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disadvantage of this method is that the picture clarity is poor

Method used

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  • Reliable method for verifying fragmentation distribution of blasting lumps
  • Reliable method for verifying fragmentation distribution of blasting lumps
  • Reliable method for verifying fragmentation distribution of blasting lumps

Examples

Experimental program
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Embodiment 1

[0067] 1) The format of the image to be processed is: 9,447,670 bytes captured by a 13-megapixel camera, the size is 4608×3456px, and the on-site burst photos with a scale of millimeter graduation values.

[0068] 2) Due to the high pixel of the image and the horizontal scale reference, AuToCAD 2014 or above is selected as the preliminary processing software. Set the [Graphic Unit] dialog box in the CAD software with reference to the scale length and division value, select "Decimal" for "Length", select "Decimal Degrees" for "Angle Type", and select "Millimeter" for the scaling unit when inserting. In the CAD orthogonal mode, draw a horizontal scale line with the same length and unit as the picture scale, and convert the high-definition original figure 1 : 1 Import directly above the horizontal scale line. If the width of the shooting burst exceeds two meters, import by area according to different area scales (realized by cropping pictures or freezing layers). The unit precis...

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PUM

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Abstract

The invention relates to a reliable method for verifying fragmentation distribution of blasting lumps. Under the conditions of ensuring that a picture has a sufficient resolution to display a millimeter scale, a plurality of software picture processing functions are used to mutually connect the advantages of respective software, and the software processing accuracy and error limits are considered.The advantages of manual identification are fully applied to area superposition, rock joints, light and dark ridges, and occlusion interruptions that cannot be accurately identified by the software in the picture. By combination with different stages to select appropriate recognition and processing methods, finally high-precision picture data distribution is obtained. Finally the fragment distribution represented by the picture is verified by five newly-proposed statistical calculation formulas to obtain more a reliable state of fragmentation distribution of the blasting lumps.

Description

technical field [0001] The invention relates to a method for counting lumpiness of mine blasting piles, in particular to a reliable method suitable for statistics of lumpiness data in step blasting of open-pit mines and blasting of large boulders, and for verifying the distribution of lumpiness in blast piles. Background technique [0002] Domestic and foreign experts and scholars have done a lot of work on the description of the distribution of lumpiness in blasting piles. The common test methods for rock lumpiness in blasting can be basically divided into two categories: direct test methods and indirect test methods. [0003] The earliest direct measurement is the sieving method. The rock blocks are sieved and weighed separately by various tools, and the results with high accuracy are obtained. Small-scale blasting and model tests are very convincing. There are a series of difficulties in large-scale blasting in real production, such as too much workload and complicated st...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06T7/00G06T7/13G06T7/62
CPCG06T7/0002G06T2207/10004G06T7/13G06T7/62G06F30/20
Inventor 郭连军董二虎徐振洋张大宁
Owner UNIV OF SCI & TECH LIAONING
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