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 ...
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
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 ...
Fast image processing method for coal particle cluster box dimension measurement and its application in diffusion coefficient testing ... approximately 50 g coal samples with a particle size of 12 mm from the Shunhe Coal Mine were used for the desorption experiment by the particle method under an adsorption pressure of MPa. Fig. 1 shows ...
The acoustic and resistivity measurements of coal rock samples taken from the southern Qinshui Basin in China were measured under dry and saturated conditions of different salinity solutions. ... Full size image. Fig. 3. Complete waveform and spectrum analysis of QS2 dry coal rock ... According to the analysis of acoustic wave image processing ...
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.
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.
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 ...
Image Analysis for Particle Size Distribution CC BY Authors: C. Shanthi R. Kingsley Porpatham N. Pappa Anna University, Chennai Abstract Particle size distribution (PSD) affects...
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 ...
Large foreign object transporting by coal mine conveyor belt may lead to production safety hazards. To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper. An adaptive weighted multiscale Retinex (MSR) image enhancement algorithm is proposed to improve the captured image quality of the belt conveyor line. An ...
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 ...
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 ...
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.
To improve measuring efficiency, some studies attempted to measure PSD by image processing methods [6]. The corresponding challenges of such methods are clearly specified as below: ... This automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined ...
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.
Traditional coalgangue recognition methods usually do not consider the impact of equipment noise, which severely limits its adaptability and recognition accuracy. This paper mainly studies the ...
Image processing technology cannot determine the actual size of overlapped particles and cannot confirm the size fractions of overlapped particles, making the larger particles appear smaller in size by image analysis. ... Hence, fifty coal pile images were acquired to measure the size fractions of coal particles after overlapping. Table 1. Mass ...
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.
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 ...
Results could further the concept of a "cell phone microscope" type monitor for semicontinuous measurements in coal mines. ... [28,29], determination of cell size and morphology of ... Cigdem Keles, J. R. Saylor, and Emily Sarver. 2021. "Demonstration of Optical Microscopy and Image Processing to Classify Respirable Coal Mine Dust ...
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 ...
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.
Top coal caving simulation test: put 300 mm crushed coal in the funnel, and then tiled 500 mm crushed gangues, the detector height was reduced to 200 mm from the platform bottom plate, the ...
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 ...
Image processing has been widely utilized in mineral processing, especially in size, ash content analysis, and coal gangue identification. Vallebuona et al. [1] established a particle thickness model by measuring the twodimensional information of the particles to estimate their thickness, and then estimated the particle volume and mass to ...
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