Intelligent image counting method of rock grain sizes after blasting

A statistical method and image technology, applied in the field of geotechnical engineering, can solve the problem that the blasting particle size image cannot be counted intelligently, efficiently and accurately

Inactive Publication Date: 2018-09-28
INST OF ROCK AND SOIL MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0008] The purpose of the present invention is to provide an intelligent image statistical method of rock particle size after blasting, which mainly solves the technical problem that the existing blasting particle size image measurement cannot be intelligently, efficiently and accurately counted by using matlab After compiling the relevant programs, it is only necessary to substitute the pictures of the on-site explosion into the program. The method is easy to operate and the operation is simple. The feedback pulse-coupled neural network model and the marked watershed segmentation method are used effectively to realize the statistics of the rock particle size after the explosion. The obtained statistical data Higher accuracy and convenience than previous processing techniques

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  • Intelligent image counting method of rock grain sizes after blasting
  • Intelligent image counting method of rock grain sizes after blasting
  • Intelligent image counting method of rock grain sizes after blasting

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Embodiment 1

[0060] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0061] A method for image statistics of rock lumpiness after blasting, which specifically includes the following steps:

[0062] 1), reference figure 1 , first take pictures on the spot. During the photographing process, the whole blasting pile is divided into five layers to take pictures. The first layer is just before the blasting is completed and the blasting pile rocks are not transported; After 40% of the pile is transported, the fourth layer is after 60% of the explosive stack is transported, and the fifth layer is the explosive stack after 80% of the transport. The area of ​​the explosion pile surface covered by the photos taken on each floor must reach more than 15% of the total explosion pile area of ​​the floor. In order to minimize the interference to the project site, choose the same height, same position, and same angle...

Embodiment 2

[0093] A method for image statistics of rock particle size after blasting, the steps of which are:

[0094] (1) On-site photo taking:

[0095] A high-resolution camera and two rulers are required to take pictures of the on-site explosion. The length of the scales is the same, and the camera must be able to obtain clear photos of the on-site explosion. In this example, two 1.5-meter-long rulers and a 20-megapixel digital camera are selected to take photos and samples, and three photos are taken of each layer of explosive pile rock blocks to ensure that the area of ​​the explosive pile surface covered by the photos taken on each layer reaches the level of the layer. More than 15% of the total area of ​​the explosion pile.

[0096] (2) Preprocessing of photos:

[0097]Import the two-dimensional photos of the rock explosion pile after the on-site explosion into the computer, and select the image with better photo effect for preprocessing. In this example, a large-area shooting ...

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Abstract

The invention discloses an intelligent image counting method of rock grain sizes after blasting. The method comprises the steps of: A, using a camera to obtain a two-dimensional picture of a rock muckpile after blasting at a blasting site; B, importing the initial grain size picture into the computer, and using image processing software to carry out correction optimization processing on the photograph; C, substituting the processed image into a third-generation neural-network model, which is written on the basis of a matlab language and is namely a feedback-type pulse-coupled neural-network model, for processing; D, additionally carrying out gradient processing on the image, of which preprocessing is completed, to obtain a gradient image; E, substituting the obtained rock grain size markimage and the gradient image into a mark watershed-segmentation method to obtain a grain size segmentation graph; and F, carrying out counting of sizes and the number of block bodies in the two-dimensional picture, drawing a blasting block degree distribution curve, and completing rock block degree counting. Operations are simple and convenient, intelligent image processing realizes rock grain size counting after blasting, and obtained block degree counting data have higher accuracy as compared with data of existing processing technology.

Description

technical field [0001] The invention belongs to the technical field of geotechnical engineering, and more specifically relates to an intelligent image statistical method of rock particle size after blasting. Background technique [0002] The particle size distribution of the rock in the blast pile after blasting is an important index for evaluating the blasting effect. The particle size distribution of blasting rocks reflects the degree of fragmentation of rocks after blasting, and is the basis for designing and optimizing blasting parameters. The existing measurement methods of block size are mainly divided into direct screening method, secondary blasting block counting method and image technology processing method. With the development of image processing technology, there have been many image processing methods applied to the measurement of rock particle size after blasting. It can be summarized as: WipFrag processing system (WipFrag system), FragScan processing system ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/62G06N3/04
CPCG06T7/0004G06T7/11G06T7/136G06T7/62G06T2207/30242G06T2207/30108G06T2207/20152G06T2207/20081G06T2207/20084G06N3/049G06N3/044
Inventor 武仁杰李海波于崇夏祥
Owner INST OF ROCK AND SOIL MECHANICS - CHINESE ACAD OF SCI
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