Introduction In the coal preparation process, particle size distribution (PSD) is very important for determining the load of the classification equipment and the separation effects of particles with extensive classes (Liu et al., 2014).
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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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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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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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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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Currently, there is little research on realtime monitoring methods for coal dry screening. Liao [] developed a new online automatic optical inspection system (OAOIS) applying digital image processing to measure the coarse particle size [] demonstrated the inconsistencies of lengthbased separation by mechanical sieving using standard sieves and developed a user ...
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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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The particle sizes of coal and gangue are all distributed in the range of 13150 mm. To study the difference between coal and gangue with different particle sizes, coal and gangue are divided into two types according to their grain sizes, one is 1325 mm, and the other is 25150 mm. Some images are shown in figure 2.
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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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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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imagebased size distribution estimation of coal piles on a conveyor. 1. Introduction Rock size affects the productivity of mining and mineral processing from the initial phase of drilling and blasting to crushing and grinding et al [17]. Conveyor is the most common means of transportation.
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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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Coal is a black or brownishblack sedimentary rock that can be burned for fuel and used to generate is composed mostly of carbon and hydrocarbons, which contain energy that can be released through combustion (burning). Coal is the largest source of energy for generating electricity in the world, and the most abundant fossil fuel in the United States.
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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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Full size image. Grayscale processing of coal and gangue images. ... The experimental results show that 9 × 9 Gaussian filter is the most suitable for processing the image of coal.
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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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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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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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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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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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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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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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The pore structure parameters of coal have an important influence on the exploration and development of coalbed methane. In this study, a series of pore structure parameters, including porosity, pore radius, pore throat radius, pore coordination number, pore throat ratio, and specific surface area, are identified, extracted, and calculated in the scanning electron microscopy (SEM) images of ...
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To estimate the density and sulfur content level of highsulfur coal, a novel approach based on image processing and the support vector machine optimized by Grey wolf optimization (GWOSVM) was ...
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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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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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