WEBAug 21, 2021 · 1. Introduction. 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 [1 – 5], coal chemical industry [6 – 9], adsorption and desorption [10 – 12], and coal and gas .
WhatsApp: +86 18203695377WEBFeb 7, 2023 · 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 .
WhatsApp: +86 18203695377WEBMay 27, 2021 · 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 18203695377WEBMay 1, 2017 · Digital inline holography is applied to perform 3D measurement of coal particle size and 3D position in a laboratoryscale pulverized coal flame. ... Download fullsize image; ... transfer, numerical reconstruction and automatic post processing, and therefore has also developed to be a prevalent and powerful tool in 3D measurement of .
WhatsApp: +86 18203695377WEBJan 17, 2023 · In 2015, Lalit et al. used image processing technology and random distribution technology to analyze 3D images of mineral particles, indiing that imageprocessing technology has gradually moved from a .
WhatsApp: +86 18203695377WEBThe distribution of reflectivity of coal in the image varied according to the moisture content and particle size. It affected the intensity information of the image which was then used to predict the surface moisture content of the coal. The method is now being used successfully in a processing plant.
WhatsApp: +86 18203695377WEBMay 27, 2022 · 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 .
WhatsApp: +86 18203695377WEBJun 1, 2012 · As for image size, ... Online flicker measurement of gaseous flames by image processing and spectral analysis. Meas Sci Technol, 10 (1999), ... Baeg S, Cho C. Flame image processing analysis for optimal coal firing of thermal power plant. In: ISIE 2001: IEEE international symposium on industrial electronics proceedings, vol. ...
WhatsApp: +86 18203695377WEBAug 1, 2008 · In 1996 the Fragblast 5 Conference held a workshop on the measurement of blast fragmentation with the stated aim "to review the stateoftheart in image processing as applied to measurements of rock fragmentation" Franklin et al. [10]. The proceedings of this workshop provide the most thorough review of the field to date.
WhatsApp: +86 18203695377WEBJul 2, 2021 · Coal Flow Volume Measurement of Belt Conveyor Based on Binocular Vision and Line Structured Light. July 2021. DOI: / Conference: 2021 IEEE International Conference ...
WhatsApp: +86 18203695377WEBSemantic Scholar extracted view of "Quantitative Measurement of the Stability of a Pulverized Coal Fired Flame through Digital Image Processing and Statistical Analysis" by Weicheng Xu et al.
WhatsApp: +86 18203695377WEBApr 1, 2023 · The measurement accuracy of the particle size of coal determined by using he image acquisition and analysis system described in Section was verified by randomly selecting five particles in each size interval and measuring their sizes by the method outlined in Fig. 8. Furthermore, the lengths and widths of the particles were .
WhatsApp: +86 18203695377WEBMay 1, 2016 · The particle size and its distribution of several types of atomizing nozzles of CWP in the spray are measured by PIV (particle image velocimetry) measurement and newly developed image processing ...
WhatsApp: +86 18203695377WEBNov 1, 2010 · Zhang et al. proposed an image analysisbased method for ash content prediction [7] and density fraction prediction [8] of coarse coal. Aldrich used machine vision systems to measure particle size ...
WhatsApp: +86 18203695377WEBNov 1, 2012 · Abstract. This paper discusses the appliion of image processing methods in the Coal preparation detection system. The system uses a light source to illuminate the coal and coal gangue, and then ...
WhatsApp: +86 18203695377WEBAug 21, 2021 · Comparison of Coal Particle Size Measurement Results of. Di ... Computer Vision Graphic and Image Processing, vol. 29, no. 3, pp. 273 ...
WhatsApp: +86 18203695377WEBApr 1, 2021 · An image processing algorithm was introduced, analyzing recorded images using an Open Source Computer Vision Library (OpenCV) [30]. The same technique has been used in various fields of science, realtime carbon and coal particle size distribution (PSD) measurement, monitoring of flame behavior and combustion .
WhatsApp: +86 18203695377WEBDec 1, 2018 · This research work considers flame image processing using region of interest (ROI), fuzzy logic, and neural networks for efficient temperature measurement, and develops a sintering state recognition system with features of .
WhatsApp: +86 18203695377WEBThis 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 .
WhatsApp: +86 18203695377WEBJul 1, 2017 · Measurement of coal particle combustion behaviors in a drop tube furnace through highspeed imaging and image processing Presented at the IEEE International Instrumentation and Measurement Technology Conference, Taipei, Taiwan, 23–26 May 2016 ( 2016 ), /
WhatsApp: +86 18203695377WEBNov 1, 2020 · 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 ...
WhatsApp: +86 18203695377WEBJul 1, 2015 · Gao et al. [20] conducted the online measurement of particle size and shape and their distributions through image processing, where the images of particles were acquired from a color CCD camera ...
WhatsApp: +86 18203695377WEBFeb 1, 2023 · This paper presents a realtime image analysis system based on Mask RCNN for flotation froth segmentation and bubble size measurement. The main objectives were detection of bubbles in flotation froth, measurement of the size distribution of the bubbles, and detection of nonloaded bubbles in the froth. Appliion of the classical .
WhatsApp: +86 18203695377WEBJun 1, 2024 · 1. Introduction. Coal seam water injection is a comprehensive disaster prevention measure, which has been widely used in the fields of coal and gas outburst prevention, dustproof and rock burst prevention [1], [2], [3], the water transport includes two processes: seepage and spontaneous imbibition [4].Spontaneous imbibition is a natural .
WhatsApp: +86 18203695377WEBApr 24, 2023 · DOI: / Corpus ID: ; A novel coalgangue recognition method in underground coal mine based on image processing article{Wu2023ANC, title={A novel coalgangue recognition method in underground coal mine based on image processing}, author={Honglin Wu and Zhongbin Wang and Lei Si .
WhatsApp: +86 18203695377WEBFeb 15, 2011 · article{osti_, title = {Estimation of radiative properties and temperature distributions in coalfired boiler furnaces by a portable image processing system}, author = {Li, Wenhao and Lou, Chun and Sun, Yipeng and Zhou, Huaichun}, abstractNote = {This paper presented an experimental investigation on the estimation of .
WhatsApp: +86 18203695377WEBSep 7, 2018 · The microstructure parameters of particles and pores of the shear plane of powdery coalbearing soil were measured by the digital image processing software Imageproplus (IPP). Based on the fractal theory, the fractal characterization of coalbearing soils were studied, and the relationship between fractal dimension, pore size .
WhatsApp: +86 18203695377WEBJun 1, 2009 · Shimoda et al. [13] reported a method of predicting unburnt carbon in a coalfired utility boiler using an image processing unit and a furnace model unit. Zhou et al. [14] employed a CCD sensor to measure the temperature image from a laboratoryscale, coalfired combustor in order to monitor the flame condition.
WhatsApp: +86 18203695377WEBSep 4, 2022 · For industrial flotation image processing, accurate bubble size measurement and feature extraction are very important to optimize the flotation process and to improve the recovery of mineral resources. This paper presents an improved algorithm to investigate mineral flotation image segmentation for mineral .
WhatsApp: +86 18203695377WEBAug 30, 2023 · In this study, the YOLOv5 algorithm is used, the size of the input image is adjusted to 608 × 608, and the Mosaic method is used to enhance the data, several gravel images are scaled, cropped and arranged randomly to form a single image. This way can effectively improve the detection accuracy of the model under disturbance conditions
WhatsApp: +86 18203695377WEBDOI: /S(97)000940 Corpus ID: ; An image processing algorithm for measurement of flotation froth bubble size and shape distributions article{Sadrkazemi1997AnIP, title={An image processing algorithm for measurement of flotation froth bubble size and shape distributions}, author={N. Sadrkazemi and Jan J. .
WhatsApp: +86 18203695377WEBNov 4, 2020 · Semantic Scholar extracted view of "Image segmentation method for coal particle size distribution analysis" by Feiyan Bai et al. ... The results show that the pixellevel rock fragment recognition takes for processing a 512×512 patch on average and 88% of rock fragments can be recognized and the predicted size distributions of the .
WhatsApp: +86 18203695377WEBOct 1, 2013 · The success or failure of segmentation algorithms affects the downstream processes of size distribution analysis and coal classifiion. Several image processing techniques have been proposed to solve the overlap problem, and most combine edge detection, thresholding, equalization, binary image morphology, region growing, and .
WhatsApp: +86 18203695377WEBMar 1, 2018 · To manually obtain the particle size distribution from SEM or TEM images is inefficient and can bring some potential subjective errors. To address this problem, an image processing algorithm which can automatically measure the particle size in different noises, overlapped particles and uneven backgrounds has been developed in this paper.
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