The available realtime ash content measurement techniques include radiometry, photoelectric measurement, and image processing [3,4,5]. Among these techniques, radiometry is used most widely in coal industry, which can be divided into two categories,, sourcebased radiometry, and passive radiometry.
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This paper focuses on the size distribution measurement of coal fragments by digital imaging processing. The fast and precise measurement of coal fragments, which is important to understand the crack propagation and energy dissipation process of coal failure, has not been achieved by previous research. In this paper, an image analysis method using MATLAB is proposed to measure fragment size ...
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The belt speed was m/s during the shooting, and the line frequency of the camera was set to 2000. The particle size of the coal or gangue was between 50 mm and 350 mm. The gangue is black and has an attached coal slurry. Download : Download highres image (189KB) Download : Download fullsize image; Fig. 6. Image acquisition platform.
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Coal Based on Image Processing and SEM Technology Mingyue Jia 1, Wenhui Huang 1,2, * and Yuan Li 1 1 Key Laboratory for Marine Reservoir Evolut ion and Hydrocarbon Abundance Mechanism,
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Besides analyzing the coal, a coal quality manager system should automatically calculate: Heating Value (kcal/kg, kJ/kg or BTU/lb) Lbs SO2 per million BTU. Volatile Matter. Fixed Carbon. Ash Fusion Temperature (based on customer specific empirical relations) Knowing these measurements in realtime enables coal producers to control sorting and ...
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An improved mass model with only two parameters for coarse coal particles using image analysis was established. ... and morphology have been analyzed qualitatively (Zhang et al., 2012a). With continued research on particles, particle size measurements based on quantitative methods have been proposed, and the shape, size and surface structure of ...
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open access Abstract An important index to evaluate the process efficiency of coal preparation is the mineral liberation degree of Keywords Pulverized coal Image segmentation Deep learning Particle size analysis 1. Introduction Air pollution caused by coal combustion has caused widespread concern.
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The pore wall thickness measurement by image analysis provided significant correlations with M 40, CRI and CSR values. This explains the usability of image analysis for coke structure measurement. A comparative study was carried out for measurement by volumetric method, image analysis, mercury porosimetry and Xray CT scan measurements.
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Abstract nearest neighbour algorithm, and convex shell method to achieve preliminary segmentation, merge small pieces with large pieces, and split adhered particles, respectively. Comparing the automated segmentation using this method with manual segmentation, it is found that the results are comparable.
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Machine vision technology [12,13] is widely used in coal gangue image processing [14], target region segmentation [15], and other fields for its economic, efficient, safe, and reliable ...
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By image processing, Yang [12] measured the particle size distribution of lump coal with a size range of ∼ 20 mm, and compared the statistical distribution with fractal distribution function and artificial sieving results, providing a novel and effective method for the particle size distribution measurement in the study of coal failure ...
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The measurement accuracy of the particle size of coal determined by using he image acquisition and analysis system described in Section was verified by randomly selecting five particles in each size interval and measuring their sizes by the method outlined in Fig. 8.
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In this paper, an image analysis method using MATLAB is proposed to measure fragment size distribution of coal fragments. The acquisition setup, analysis step and coding process for fragment size distribution measurement by digital imaging processing are introduced in detail.
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The coal samples were mixed evenly and put into the image acquisition system to collect the images of the coal samples. Image segmentation processing was implemented, and an example picture of a coal sample segmented and marked with boundary lines was shown in Fig. 8. Download : Download highres image (157KB) Download : Download fullsize image
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The platform is composed of five modules, including module of coal seam and fault, module of laneway aided design and analysis, module of general ground surface situation and working condition, module of auxiliary view and layer managements, and module of dynamic visualization (an independent system). Download : Download fullsize image;
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III. Image Processing Method of System. Image is the information transfer carrier of machine vision measuring system, and the quality of its original information obtained and advantage of image processing algorithm will directly influence the system performance. Therefore, in order to realize highprecision automatic measuring to the workpiece ...
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Image processing Particle size distribution Diffusion coefficient Laser particle analyzer Coal particles 1. Introduction Coal particles are mixed by various particle sizes after crushing massive coal. Coal particle is widely applied in the physical property test.
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Abstract We developed an imaging technique for inspecting the inside of coalfired boilers during operation by using a visiblelight camera, which has a higher spatial resolution and depth of field than midinfrared image sensor camera systems commonly used for imaging the inside of boilers. Two main problems are associated with the use of a visiblelight camera: the low light transmittance of ...
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Online intelligent recognition of coal and gangue is an important aspect of coal mine intelligent development. Current research focuses more on improving recognition accuracy through optimizing image processing algorithms, but there is limited research on the characteristics of coal gangue materials themselves, particularly the comparative analysis of their appearance in images under different ...
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Table 1 lists the physical parameters of the pulverized coal and air which are required for numerical calculation (The temperature is set as 71 °C which is just consistent with that of pipe flow during inline experiments). In this calculation, the range of the pulverized coal size is 1200 μm, and the volume fraction is from % to 1%. Therefore, ultrasonic frequencies of 40 kHz and 200 ...
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Size distribution measurement of coal fragments using digital imaging processing Xiaohan Yang a b, Ting Ren a b, Lihai Tan a Add to Mendeley https://// Get rights and content • Accurate and fast measurement of coal fragments generated by uniaxial compression tests using digital imaging processing. •
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A quantitative analysis of the porosity, pore size distribution, and fractal dimensions of pores is significant for studying the pore structure characteristics of coal. This study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of the coal therein. Hundred randomly selected points on each sliced coal sample were imaged via scanning ...
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Full size image. Fig. 3. ... Using binarization processing and contour fitting, ... are the coal and gangue particles measurement and scanning data files, are the coal and ...
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Yang et al. introduced a procedure to measure the size distribution of coal fragments using digital image processing [8] by analyzing still images of coal, and the obtained results were closer to the experimental results than those obtained by the size estimation method known as the fractal model.
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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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