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Online detection equipment for ore granularity based on a map image algorithm analysis technology

A technology of image algorithm and analysis technology, which is applied in the field of online detection equipment for ore particle size, can solve the problems of high energy consumption, time-consuming, and laborious, etc., and achieve the effect of improving the degree of dissociation and improving production efficiency

Active Publication Date: 2019-05-21
威海晶合数字矿山技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The particle size detection method commonly used in mineral processing plants is mainly traditional offline screening, which is time-consuming, laborious, and energy-consuming, and the detection results cannot be fed back in real time

Method used

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  • Online detection equipment for ore granularity based on a map image algorithm analysis technology
  • Online detection equipment for ore granularity based on a map image algorithm analysis technology
  • Online detection equipment for ore granularity based on a map image algorithm analysis technology

Examples

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Embodiment 1

[0032] This embodiment provides an online ore particle size detection system based on graph image algorithm analysis technology, which includes an industrial computer 101, a local area network switch 102, a local area network 103, an ore particle size analyzer 104, the Internet 105, and multiple clients 106. In the embodiment, the local area network is a Gigabit dedicated network, and the local area network switch is a Gigabit switch; the industrial computer 101 is connected to the local area network switch 102, and is connected to the ore particle size analyzer 104 through the local area network 103. In addition, the industrial computer 101 is also connected to the ore particle size analyzer 104 through the Internet 105. Multiple clients 106 are connected.

[0033] The ore particle size analyzer 104 is installed directly above the ore conveyor belt. By adjusting various parameters of the ore particle size analyzer 104, including camera focal length, camera exposure time, bracket ...

Embodiment 2

[0038] This embodiment provides the structure of the ore particle size analyzer in embodiment 1, such as figure 2 As shown, the bracket 201 includes an upper housing 202, a high-brightness soft-light LED lamp 203, a high-transmittance tempered glass 204, an image acquisition instrument 205, and a lower housing 206.

[0039] The bracket 201 is installed near the conveyor belt to fix the ore particle size analyzer 104 above the conveyor belt to take pictures of the ore on the conveyor belt. The shape and size of the bracket 201 can be determined according to site conditions. In this embodiment, the support 201 is L-shaped, the vertical part of which is fixed on the ground, and the horizontal part extends on the conveyor belt, and other parts of the ore particle size analyzer 104 are fixed on the support 201 through a U-shaped pipe clamp and hexagonal nuts. The upper shell 202 is a one-piece metal plate, and the lower shell 206 has a five-sided structure as shown in the figure. The ...

Embodiment 3

[0041] This example provides the composition and analysis method of the ore particle size analysis system in Example 1, such as image 3 As shown, the ore particle size analysis system consists of an image preprocessing module 01, an image segmentation module 02, a size calibration and modeling analysis module 03 installed on an industrial computer. The ore particle size analysis system receives the real-time collected ore image transmitted by the ore particle size analyzer 104 and performs image processing, thereby calculating the distribution and pass rate of the ore particle size, and the maximum ore particle size;

[0042] According to an embodiment of the present invention, the real-time image acquisition and processing flow for ore particle size analysis includes the following steps:

[0043] 1. The image preprocessing module 01 preprocesses the collected ore image transmitted by the communication line. The specific preprocessing includes: step S11, perform texture analysis on...

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Abstract

The invention discloses an online ore granularity detection device based on a map image algorithm analysis technology. The online ore granularity detection device is characterized by comprising an oregranularity analyzer and an industrial personal computer, The ore particle size analyzer is connected with the industrial personal computer through a special local area network; The industrial personal computer is connected into the Internet, and a plurality of clients are further connected into the local area network. The ore particle size analyzer is mounted above the ore conveying belt and isused for photographing ores on the conveying belt and continuously collecting ore particle size images on the conveying belt in real time; An ore particle size analysis system is installed in the industrial personal computer and comprises an image preprocessing module, an image segmentation module and an ore particle size calibration and analysis module. According to the method, conveyor belt oreimages are collected online, multi-stage image algorithm processing is carried out, the ore granularity is continuously analyzed online in a high-precision and real-time mode, analysis results are automatically counted and output, the ore dissociation degree is improved in cooperation with optimization of the ore dressing technological process, and the production efficiency is improved.

Description

Technical field [0001] The invention relates to an online ore particle size detection device, in particular to an ore particle size online detection device based on graph image algorithm analysis technology. Background technique [0002] The inside of the ore is composed of useful minerals and gangues. Beneficiation is to crush and screen the ore through a crusher to fully dissociate the useful minerals and gangues. The method of beneficiation is limited by the particle size of the ore. The gangue is not dissociated and cannot be sorted, and the fine ore particles are still difficult to control with the current beneficiation method. [0003] At the same time, crushing and screening have the following effects on production technical indicators: the crushing process will be accompanied by materials that have been crushed or not fully dissociated. Because of insufficient dissociation, the grade and recovery rate of the selected concentrate are low. Too fine will cause more fine parti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/62G06T7/64G06T5/00G06T5/30G06T7/00G06T7/155G06T7/45
Inventor 赵伟冯克贞于艳萍赵春才
Owner 威海晶合数字矿山技术有限公司
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