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WEBSep 1, 2019 · These detection methods are easily affected by the coal mine environment, resulting in reduced detection sensitivity or even equipment damage, and requiring frequent replacement of the detection equipment. With the increasing in computer processing speed, machine vision technology has developed rapidly in recent years [9].
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WEBOct 25, 2023 · Coal flow volume is the essential basic data support for intelligent speed regulation and energysaving control of coal mine transportation systems. To accurate ... Experimental results demonstrate that the coal flow detection accuracy of the proposed method can reach %, and the singleframe image processing time is less than .
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WEBJan 1, 2022 · Considering that Huainan is an important coal producing area. the coalgangue and coal blocks used in the experiment were obtained from Huainan mining area [11], and 300 coal and gangues with similar sizes were selected for spectral image order to improve the accuracy of detection, not only the multispectral .
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WEBDec 3, 2021 · Abstract. The article determines the threelevel deviation correction equipment of mine conveyor belt. The experimental results show that the mine conveyor belt deviation detection system based on machine vision can effectively detect the deviation fault and control the deviation correction equipment, which has the advantages .
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WEBNov 1, 2019 · An intelligent dry sorting system type GDRT using a γray gangue detection sensor and a highpressure air gun as an actuator was successfully applied in six coal mining companies in China [4, 5]. However, machine vision methods gain increased attention as alternatives to radioactive methods due to restrictions in using a radioactive .
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WEBBecause of its complex working environment, most coal mines take belt conveyor as the main transportation equipment. However, in the process of transportation, due to longtime and highintensity operation, the belt is very easy to be damaged by gangue, iron and other foreign matters doped in coal, resulting in unnecessary losses. Foreign objects in the .
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WEBDec 1, 2021 · For earthquake detection, Meier et al. (2019) developed and compared five machine learning methods, including the dense neural network, recurrent neural network (RNN), RNN with attention, deep convolutional neural network (DCNN), and generative adversarial network with random forest (GANRF). The performance of different methods .
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WEBAbstract: This paper presents a model and instructions for a coal gangue detection method. The separation of coal and gangue is of great significance for environmental protection and efficient resource utilization. As science and technology continue to develop, coal sorting requires intelligent, informationbased, and specialized approaches to .
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WEBJul 13, 2023 · The traditional methods for the proximate analysis of coal are time consuming and labor intensive, whose results will lag in the combustion condition of coalfired boilers. However, laserinduced breakdown spectroscopy (LIBS) assisted with machine learning can meet the requirements of rapid detection and multielement .
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WEBMay 31, 2023 · Laserbased online machine vision detection for longitudinal rip of conveyor belt. Optik (Stuttg). (2018) W. Qiao et al. ... Experimental results demonstrate that the coal flow detection accuracy of the proposed method can reach %, and the singleframe image processing time is less than The proposed method is .
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WEBJun 1, 2023 · In the formula above, S 0 is the surface of the electrostatic probe electrode and σ (x, y, z) is the density of the induced charge on the surface of the electrostatic probe electrode.. As the dust particles approach the electrostatic detection electrode, the induced charge on the surface of the electrostatic detection electrode increases gradually; as .
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WEBNov 15, 2023 · Introduction. Coal gangue covers sulfur elements and heavy metal elements (, Pb, Cr, and Hg) [1]. If coal gangue is mixed with coal and burned together, the utilization rate of raw coal will be reduced, and toxic gases (, CO, SO 2, and H 2 S) will be released, thus seriously jeopardizing human health and the ecological environment .
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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