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.
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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;
WhatsApp: +86 18203695377
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,
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
DOI: / Corpus ID: ; Estimation of coal particle size distribution by image segmentation article{Zhang2012EstimationOC, title={Estimation of coal particle size distribution by image segmentation}, author={Zelin Zhang and Jianguo Yang and Lihua Ding and Yuemin Zhao}, journal={International journal of mining science and technology}, year={2012}, volume={22 ...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
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 ...
WhatsApp: +86 18203695377
يرغب أحد موردي المواد من بلجيكا في إنتاج مسحوق الحجر الجيري لملابسه...
الهند غنية بالموارد المعدنية المختلفة وهي سوق مهم لمعالجة المعادن
Copyright © 2023 GMC Co., Ltd. SiteMap
