ΣVolume improved plugin performance and overall PSD parameters of ground coal. +1. An example ΣVolume PSD analysis plugin output of the ground coal, replication #4, physical size of image = 203 ...
Abstract. Image analysis was adopted to estimate the ash content of clean coal, which contains approximately 3% ash. Seven features were identified based on the gray histogram of coal pictures ...
MATLAB Brittle Failure 1. Introduction Coal fragmentation is a common physical and mechanical phenomenon exists in the brittle failure of coal subject to static, impact and dynamic loads, during which coal fragments with difference size can be generated.
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...
Coal particle characteristic extraction is essential to prevent dust explosions. It is traditionally analyzed by manual screening, which is relatively timeconsuming and cannot automatically capture outlining. To address this issue, an accurate and automatic particle image segmentation method is highly demanded in the smart mine. Thus, a novel characteristic learning approach that applied ...
In the realtime measurement, LiXiu et al. designed a coal dust particle size monitoring system by using CCD image sensor, where the device includes two parts: the image acquisition of the lower computer and the image analysis of the PC, the system involves DSP image processing, and the signal processing circuit is more complicated in the ...
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...
DOI: / Corpus ID: ; Size distribution measurement of coal fragments using digital imaging processing article{Yang2020SizeDM, title={Size distribution measurement of coal fragments using digital imaging processing}, author={Xiaohan Yang and Tingxiang Ren and Lihai Tan}, journal={Measurement}, year={2020}, volume={160}, pages={107867}, url={https://api ...
The Split imageprocessing system is now being used to assess fragmentation size using muck pile digital imaging taken on a daily basis and an online fragmentation analysis system installed at the ...
, Lianping Dong Add to Mendeley https://// Get rights and content • Image segmentation is utilised for coal particle size distribution analysis. • A watershed algorithm with gradient is employed for preliminary segmentation. • The knearest neighbour algorithm is utilised to merge small pieces to particles. •
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 ...
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.
Therefore, if a pellet size issue occurs during operation, it cannot be addressed quickly. This paper presents a method for frequent, realtime carbon black PSD measurement through image processing. The processes for pellet imaging, image processing, PSD calculation, and original image processing correction are introduced in detail.
Coal analyzer. Coal analyzers are bulk material analyzers used by coal producers, coal preparation plants, and coalfired power plants to determine coal quality in real time. Coal quality parameters of greatest interest include ash, moisture, sulfur, and energy density (also known as heat content ). Although most coal operations can obtain this ...
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 ...
Image Binarization . To extract and obtain the pore information and distribution in the image, we first binarized the SEM images of the coal sample and transformed them into a binary image,
Comparing with different particle size measurement methods, the dynamic image method has the advantages of wide measurement range and good repeatability of measurement results. ... "Influence of coal particle size on particulate matter emission and its chemical species produced during coal combustion," Fuel Processing Technology, vol. 85 ...
There are still many deficiencies in the contact electronic belt scale in the instrument measurement, but the use of image processing and other technologies ... is selected, and the grid size is 22 mm × 22 mm. ... equipment. Under the Win10 system, MATLAB is used for rawcoal image processing, Visual Studio 2022 (VS) code writing platform is ...
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.
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 ...
Take the Xray image of coal sample. 2. Convert the image to gray scale image. 3. Plot the histogram equalization graph of image and display the image 4. Find out the appropriate thresholding level from graph. 5. Count the number of white and black pixels from thresholded image . 6. Calculate the ratio of white Vs black. 3. RESULTS :
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.
An image processing workflow to characterise coal cleat networks is introduced. ... Download fullsize image; Fig. 16. Spacing measurements along grid with ... Determination of the cleat angle distribution of the RECOPOL coal seams, using CTscans and image analysis on drilling cuttings and coal blocks. Int. J. Coal Geol., 73 (34) ...
In order to avoid measurement errors, field tests were repeated four times on May 20, May 26, August 12, and August 17, 2019. The average measurements of the four tests were employed to plot the histogram of the particle size distribution (mass ratio) for the front scraper and rear scraper coal bodies (Figures 3 and 4, respectively).The grain size of the coal cutting and coal caving is ...
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 ...
Image segmentation Deep learning Particle size analysis 1. Introduction Air pollution caused by coal combustion has caused widespread concern. Coal preparation, which is a part of clean coal utilization, plays a significant role in environmental protection [1].
1 August 2009. A new online laser based coal particle size analysis system promises improved coal combustion. Coal particle size analysis is a crucial element in the optimisation of coalfired combustion for power generation, with coal particle size impacting many aspects of the combustion process including: loss of ignition (LOI); coal flow ...
... Yang et al. [19] suggested applying an image processing technique to measure coal pieces produced by uniaxial compression tests. The image processing method based on the MATLAB...
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 ...
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,
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.
Structure Parameters in Coal Based on Image Processing and SEM Technology. Energies 2023, 16, 1663. ... coalbed methane. The number of the pores, the size of a single pore, the characteristics of pore distribution, and the connectivity of pore space in coal reservoirs and coal seamrelated ... Although indirect measurements, with highpressure ...
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.
Imagebased soil particle size and shape characterization methods have witnessed great progress in duplicating traditional sieving and manual methods for shape measurement.
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