Digital image processing techniques could be used to analyze coal particle size and promise a quick, inexpensive, noncontact solution for the determination of the size distribution in a coal pile.
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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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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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Browse 1,362 authentic coal processing stock photos, highres images, and pictures, or explore additional coal mining or coal plant stock images to find the right photo at the right size and resolution for your project. coal mining. coal plant. coal washing. mining.
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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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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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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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8 mm 10% 3 mm 90% 8 mm ... Another method used to determine the degree of moisture in a material is image processing. The literature presents applications of vision methods to assess the...
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Digital imaging technique provides an accurate measurement of particle size by processing the particle's projected area in the image and counting the digital pixels with a preset of scanning resolution [20, 2326]. The images can be taken either by a scanner or by a scanning electron microscope (Fig. ).
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The noncontact digital image processing technology determines the deformation of the sample according to the deformation amount of the image taken when the coal deforms. Using computer to collect and process data is a noncontact and noninterfering deformation measurement technology that does not interfere with the deformation of the sample.
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To validate the feasibility of simultaneously measuring the size and velocity of coal powder by trajectory imaging, about 2000 coal particles with a size range of 100125 μm were recorded under the exposure time of 2 ms, and imaging magnification β= The obtained size and velocity were compared with that using the shadow image method ...
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The stability of a pulverized coal flame has been measured continuously and quantitatively based on the digital imaging and image processing techniques. Results obtained on a 600 MWth coalfired supercritical unit have demonstrated that, in a routine boiler "turning off" process, the flame stability is well characterized using the numerical ...
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Experimental results show that the combined high speed imaging and image processing technique has provided an effective means for measuring and quantifying the characteristics of single coal ...
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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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Meas. Sci. Technol. 20 (2009) 114006 HWanget al Nomenclature A matrix relating the 3D temperature in the furnace and temperature image a, b, c coefficients in the polynomial functions for calibration (/)B matrix used to reconstruct the 3D temperature distribution D matrix for regularization e relative difference (%) I spectral radiation intensity (W m −2 μm 1) R, G red and green data of ...
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Respirable coal mine dust represents a serious health hazard for miners. Monitoring methods are needed that enable fractionation of dust into its primary components, and that do so in real time. Near the production face, a simple capability to monitor the coal versus mineral dust fractions would be highly valuable for tracking changes in dust sources—and supporting timely responses in terms ...
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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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Traditional grain size determination in materials characterization involves microscopy images and a laborious process requiring significant manual input and human expertise. In recent years, the development of computer vision (CV) has provided an alternative approach to microstructural characterization with preliminary implementations greatly simplifying the grain size determination process ...
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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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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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In this paper, we aim at demonstrating the feasibility of measurement of coal fragments size distribution by using imaging processing technic. The image analysis is achieved by application of MATLAB. The image acquisition and analysis procedures are described in Section 2. In Section 3, the statistical size distribution of coal fragments ...
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Two hundred images of coal piles comprised of coal sized above 3 mm were captured. Over 100 kg of coal were sampled and sieved manually into five size fractions: 36, 613, 1325, 2550, and 50100 mm. The size of the image was 1024 × 768 pixels and the imaged area was 18 × cm.
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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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Abstract: A new method of surface roughness detection based on image processing technique is proposed in this paper. The developed vision system uses a CCD camera for scanning grayscale images from an area of the machined workpiece. This images were analysed with digital image processing system. Some new optical
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Size distribution measurement of coal fragments using digital imaging processing Xiaohan Yang University of Wollongong, xy987 ... Kumara et al. adopted image processing to measure the size of gravel and got the gradation curve by ellipse shape assumption [10]. The size range of selected gravel in his research was 020 mm.
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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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To obtain the geometrical statistics of the coal cleat network at the core scale, quantitative image analysis methods on the segmented microCT images have been developed. BossieCodreanu et al. (2004) and ( Mazumder et al., 2006) measured cleat density, spacing, orientations and aperture sizes using microCT scanning.
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Particle size is an important physicochemical parameter of coal. The accurate measurement of particle size distribution (PSD) of coal samples is significant to both scientific research and engineering, such as coal combustion [15], coal chemical industry [69], adsorption and desorption [1012], and coal and gas outburst [13, 14].
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A direct bubble size measurement technique which employs a device to collect and expose bubbles has been revived. ... settings resulted in a field of view of m by m for image collection and a square of m side for image processing. 430 F. Chen et at. To illustrate the results two Figures are included: Figure 3 compares bubble ...
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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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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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Image processing and image analysis are strongly associated with computer vision . In traditional machine vision systems, each feature must be manually defined and verified by the developer [ 14 ]. On the other hand, deep learning uses selflearning algorithms to automatically identify and extract unique patterns to distinguish between distinct ...
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Fig. 6 shows the depth image after being visualized in three dimensions; the lighter the color, the higher the height. The average height of the coal and gangue areas in the image was calculated. An initial 3D feature, that is, the height feature, was obtained by dividing the average height of the gangue by the average height of coal.
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This review is based on how to measure particle sizes with different image processing techniques. In addition to this, particle size significantly affects the mechanical properties of the...
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Laser particle analyzer and image analysis were used to measure the particle size distribution of 6 coal samples with the size range of 1 ∼ 2 mm. Based on obtaining the size distribution, the average diameter was calculated. Then the diffusion coefficient was calculated by using the average diameter obtained by different methods.
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