阅读说明：本技术 一种矿石爆破块度分布的评价方法 (Method for evaluating ore blasting block size distribution ) 是由 王晓光 刘艳霞 凌长江 刘开阳 于 2020-05-28 设计创作，主要内容包括：本发明涉及一种矿石爆破块度分布的评价方法,属于民用爆破技术领域。本评价方法包括以下步骤：S1、向岩块堆放入标准比例球,形成检测岩堆；S2、对步骤S1得到的检测岩堆拍摄图像,得到检测图像；S3、对步骤S2得到的检测图像描绘,获得若干岩块轮廓图像,采用比例尺测量若干所述岩块轮廓图像,得到岩块轮廓比例数据；S4、根据步骤S3得到的岩块轮廓比例数据与所述标准比例球对比,计算出不同大小的岩块轮廓占比,得到岩块块度分布数据。本评价方法能够方便快速的对爆破岩块的块度分布情况进行评价,从而能够对爆破效果进行评价。(The invention relates to an evaluation method for ore blasting lumpiness distribution, and belongs to the technical field of civil blasting. The evaluation method comprises the following steps: s1, placing standard proportion balls into the rock mass stack to form a detection rock stack; s2, shooting images of the detected rock mass obtained in the step S1 to obtain a detected image; s3, depicting the detection image obtained in the step S2 to obtain a plurality of rock profile images, and measuring the rock profile images by adopting a scale to obtain rock profile proportion data; and S4, comparing the rock profile proportion data obtained in the step S3 with the standard proportion ball, and calculating the rock profile proportion of different sizes to obtain rock block size distribution data. The evaluation method can conveniently and rapidly evaluate the block size distribution condition of the blasting rock, so that the blasting effect can be evaluated.)

1. The method for evaluating the ore blasting block size distribution is characterized by comprising the following steps of:

s1, placing standard proportion balls into the rock mass stack to form a detection rock stack;

s2, shooting images of the detected rock mass obtained in the step S1 to obtain a detected image;

s3, depicting the detection image obtained in the step S2 to obtain a plurality of rock profile images, and measuring the rock profile images by adopting a scale to obtain rock profile proportion data;

and S4, comparing the rock profile proportion data obtained in the step S3 with the standard proportion ball, and calculating the rock profile proportion of different sizes to obtain rock block size distribution data.

2. The method for evaluating a distribution of blasting bulkiness of ore according to claim 1, wherein said photographed image is photographed perpendicularly to said detected rock mass in step S2.

3. The method for evaluating a distribution of blasting bulkiness of ore according to claim 1, wherein said detection image is 3 to 6 sheets, and a shooting horizontal length of said detection image is 0.5 to 7m in step S2.

4. The method of evaluating a distribution of blasting bulkiness of ore according to claim 3, wherein said detection images are 3 sheets, and the horizontal lengths of said detection images are 0.5m, 3m, and 7m, respectively, in step S2.

5. The method for evaluating the distribution of the lumpiness of the ore blasting according to claim 1, wherein in step 3, the step of plotting the detection image obtained in step S2 to obtain a plurality of rock profile images comprises the following steps:

step 31: reducing the resolution of the detection image, cutting the detection image, deleting the interference edge area, and obtaining a calibration detection image;

step 32: and tracing the boundaries of the rock blocks in the calibration detection image to obtain tracing lines, editing the tracing lines, removing error tracing lines and point tracing lines, and connecting the corresponding tracing lines into a closed circle to obtain a plurality of rock block outline images.

6. The method for evaluating the distribution of the lumpiness of the ore blasting according to claim 5, wherein in step 3, the step of measuring a plurality of the rock profile images by using a scale to obtain rock profile proportion data comprises the following steps:

drawing a standard scale on the rock block profile image, enabling a plurality of rock block profiles to correspond to the scale one by one to obtain the proportion data of each rock block profile, and adding the proportion data of each rock block profile to obtain the proportion data of the rock block profiles.

7. The method for evaluating the distribution of the lumpiness of ore blasting according to claim 1, wherein in step 4, the comparison of the rock profile proportion data obtained in step S3 with the standard proportion ball comprises the following steps:

and determining a standard proportion sphere proportion value from the rock profile proportion data obtained in the step S3 according to the diameter of the standard proportion sphere, and comparing the rock profile proportion data obtained in the step S3 with the standard proportion sphere proportion value.

8. The method of evaluating the distribution of explosive lumps of ore according to any one of claims 1 to 7, wherein the standard ratio sphere has a diameter of 20 to 25 cm.

Technical Field

The invention belongs to the technical field of civil blasting, and particularly relates to an evaluation method for ore blasting lumpiness distribution.

Background

In civil blasting construction, the blasting effect needs to be analyzed in time after blasting, and the blasting effect is usually evaluated according to the proportion of the volume after blasting at present.

At present, the method for measuring the block size mainly adopts manual direct measurement, specifically, rock samples after explosion are collected, rock openings are directly measured, and then the ratio of each block size is obtained through statistical analysis. However, because the number of the rock samples is too large, the interference factors received during the acquisition are more, and a large amount of manpower is consumed for detection, so that the detection efficiency of the block degree of the rock is not high, and the consumed cost is too high.

Disclosure of Invention

The invention provides an evaluation method for ore blasting block size distribution, which aims to solve the technical problems and can conveniently and rapidly evaluate the block size distribution condition of blasting rock so as to evaluate the blasting effect.

The technical scheme for solving the technical problems is as follows: an evaluation method for ore blasting lumpiness distribution comprises the following steps:

s1, placing standard proportion balls into the rock mass stack to form a detection rock stack;

s2, shooting images of the detected rock mass obtained in the step S1 to obtain a detected image;

s3, depicting the detection image obtained in the step S2 to obtain a plurality of rock profile images, and measuring the rock profile images by adopting a scale to obtain rock profile proportion data;

and S4, comparing the rock profile proportion data obtained in the step S3 with the standard proportion ball, and calculating the rock profile proportion of different sizes to obtain rock block size distribution data.

The invention has the beneficial effects that: (1) the standard proportion ball is compared with the shot detection image, the rock is measured after being scaled down, the measurement on the detection image can be very convenient, the acquisition and measurement of each rock are not needed, and a large amount of labor force is saved;

(2) the detection images are shot for measurement, so that errors generated when each rock block is manually measured can be reduced, the accuracy of the distribution of the block degree of the rock block is improved, the evaluation efficiency is improved, and the evaluation efficiency of the blasting effect is improved.

On the basis of the technical scheme, the invention can be further improved as follows.

Further, in step S2, the photographed image is photographed perpendicular to the detected rock mass.

The beneficial effect of adopting the further scheme is that: to eliminate boundary distortions, measurement errors are reduced.

Further, in step S2, the number of the detection images is 3 to 6, and the shooting horizontal length of the detection images is 0.5 to 7 m.

The beneficial effect of adopting the further scheme is that: by shooting images at different distances, the rock blocks with different sizes can be analyzed, and the analysis is more accurate.

Further, in step S2, the detection images are 3 sheets, and the shooting horizontal lengths of the detection images are 0.5m, 3m, and 7m, respectively.

The beneficial effect of adopting the further scheme is that: the device can respectively correspond to a large rock block, a middle rock block and a small rock block, the efficiency is improved, and meanwhile, the measurement precision is high.

Further, in step 3, the step of depicting the detection image obtained in step S2 to obtain a plurality of rock profile images includes the following steps:

step 31: reducing the resolution of the detection image, cutting the detection image, deleting the interference edge area, and obtaining a calibration detection image;

step 32: and tracing the boundaries of the rock blocks in the calibration detection image to obtain tracing lines, editing the tracing lines, removing error tracing lines and point tracing lines, and connecting the corresponding tracing lines into a closed circle to obtain a plurality of rock block outline images.

The beneficial effect of adopting the further scheme is that: the method can eliminate error drawing lines and dot drawing lines, improve measurement accuracy and improve evaluation effect.

Further, in step 3, the step of measuring a plurality of the rock profile images by using a scale to obtain rock profile proportion data comprises the following steps:

drawing a standard scale on the rock block profile image, enabling a plurality of rock block profiles to correspond to the scale one by one to obtain the proportion data of each rock block profile, and adding the proportion data of each rock block profile to obtain the proportion data of the rock block profiles.

The beneficial effect of adopting the further scheme is that: and the method is favorable for obtaining the rock profile proportion data.

Further, in step 4, comparing the rock profile proportion data obtained in step S3 with the standard proportion ball, including the following steps:

and determining a standard proportion sphere proportion value from the rock profile proportion data obtained in the step S3 according to the diameter of the standard proportion sphere, and comparing the rock profile proportion data obtained in the step S3 with the standard proportion sphere proportion value.

The beneficial effect of adopting the further scheme is that: and the rock block size distribution data can be accurately obtained.

Further, the standard proportion ball has a diameter of 20-25 cm.

The beneficial effect of adopting the further scheme is that: the scale ball is moderate in size and is suitable for accurately finding the scale ball after being shot into a detection image.

Drawings

FIG. 1 is a view showing a detection image photographed in a state where a horizontal length is 3m according to the present invention;

fig. 2 is a schematic view of the block size distribution in the experimental example of the present invention.

Detailed Description

The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.