MTW European Type Trapezium Mill
Input size:30-50mm
Capacity: 3-50t/h
LM Vertical Roller Mill
Input size:38-65mm
Capacity: 13-70t/h
Raymond Mill
Input size:20-30mm
Capacity: 0.8-9.5t/h
Sand powder vertical mill
Input size:30-55mm
Capacity: 30-900t/h
LUM series superfine vertical roller grinding mill
Input size:10-20mm
Capacity: 5-18t/h
MW Micro Powder Mill
Input size:≤20mm
Capacity: 0.5-12t/h
LM Vertical Slag Mill
Input size:38-65mm
Capacity: 7-100t/h
LM Vertical Coal Mill
Input size:≤50mm
Capacity: 5-100t/h
TGM Trapezium Mill
Input size:25-40mm
Capacity: 3-36t/h
MB5X Pendulum Roller Grinding Mill
Input size:25-55mm
Capacity: 4-100t/h
Straight-Through Centrifugal Mill
Input size:30-40mm
Capacity: 15-45t/h
Coal gangue classification
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Coal Gangue Classification Based on the Feature
2023年2月20日 The paper addressed the coal gangue classification using the density factors that stand against the harsh mining environment which affects the coal gangue classification using computer vision and presents the ExMSVM 煤炭是经济发展建设的重要的能源，矸石是一种伴随着煤的开采而产生的一种杂质矿石， 它的存在不仅降低了煤的品位，还加重了煤燃烧时的污染， 因此煤与矸石的分选具有重要意义。 样本来自山西的一个矿场，相机为海康威视的 MVL GitHub renqi1/CoalGangueClassification: pytorch图 2024年11月1日 Efficiently sorting coal gangue and identifying coal types are vital operations in coal preparation, yet they are traditionally resourceconsuming, laborintensive, and potentially Classification of coal gangue and identification of coal type based 2023年12月8日 Before coal is used, coal and gangue must be effectively separated to reduce the gangue content in the raw coal and improve the efficiency of coal utilization This study introduces a classification method for Coal and Gangue Classification Based on Laser
Classification Method of Coal and Gangue Using Terahertz Time
2022年9月12日 Terahertz timedomain spectroscopy was combined with multivariate statistical analyses to identify different kinds of coal and gangue First, the terahertz spectrum and power 2023年6月14日 In this study, we propose a model combining an ECA module and an efficient, lightweight CNN for image classification of coal and gangue Specifically, we redesign the backbone of the model based on GhostNetResearch on image classification of coal and gangue 2023年1月10日 To improve the accuracy of coal gangue identification in the coal mining process, a coal gangue identification method based on histogram of oriented gradient (HOG) combined with local binary pattern (LBP) features A Coal Gangue Identification Method Based on HOG 2024年9月7日 Coal gangue, a blackgray rock with lower carbon content and heat value compared to coal, accounts for about 15%20% of coal production (Li et al 2006) The Opportunities, challenges and modification methods of coal
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Opportunities, challenges and modification methods of coal gangue
2024年9月7日 Coal gangue is a complex industrial solid waste mixed with organic compounds, inorganic compounds and minerals (Fabiańska et al 2013)Its major chemical compositions are SiO 2, Al 2 O 3 and Fe 2 O 3, with traces of CaO, P 2 O 5, MgO and MnO 2The chemical composition of coal gangue from various sources and its comparison with soil reference 2024年2月1日 Representative coal gangue in China: Physical and chemical properties, heavy metal coupling mechanism and risk assessment The specific pollution load index classification is shown in Table 3 If the value of C background refers the Chinese standard GB 156182018, Representative coal gangue in China: Physical and chemical 2024年4月2日 Furthermore, the study identifies the 95937 nm band as optimal for coal and gangue classification Compared to existing superresolution methods, ANIMRGAN offers advantages, paving Spectral band selection and ANIMRGAN for highperformanceA novel method of the coal gangue identification and classification is introduced, and the coal gangue image process strategy using wavelet transform is proposed to select the coal gangues out from coal bulk on the mining belt transporter in this paper The identification principle is described, and the automatic selection system is presented, the embedded zerotree wavelet Coal Gangue Image Identification and Classification with Wavelet
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Classification Method of Coal and Gangue Using Terahertz Time
2022年9月12日 The process of coal mining generates high amounts of coal gangue Accordingly, coal–gangue separation is a key problem limiting coal production and quality Terahertz timedomain spectroscopy was combined with multivariate statistical analyses to identify different kinds of coal and gangue First, the terahertz spectrum and power spectrum 2024年7月12日 Coal gangue (CG), which accounts for about 10–20 % of coal output, is a kind of solid waste generated during the coal mining and washing processes According to Fig 2 , the annual output of CG in China fluctuates between 600–800 million tons, with a utilization rate hovering around 70 %Review Highcapacity utilization of coal gangue as supplementary 2024年10月9日 The multiclass classification of coalgangue based on sound signals is still a central issue limiting progress in the field of the coalgangue recognition systemCoalgangue sound recognition using hybrid multibranch CNN 2024年3月4日 In the classification experiments of coal and gangue, the optimal network designed by TCNAS has an accuracy of 833% And its structure is much simpler, which is about 1/53 of the parameters of the network dedicated to coal and gangue recognitionSearching by Topological Complexity: Lightweight Neural
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Classification Method of Coal and Gangue Based on
Classification Method of Coal and Gangue Based on Hyperspectral Imaging Technology: LI Lianjie 1, 2, FAN Shuxiang 2, WANG Xuewen 1, LI Rui 1, WEN Xiao 1, WANG Luyao 1, LI Bo 1* 1 College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan , China 22024年7月23日 Sun and Chen [] decomposed coal rock images based on doubletree complex wavelet transform and completed image identification based on relative entropy similarityLi et al [] built a coal gangue sorting image capture system, and the test results of coal and gangue classification accuracy were 903% and 830%, respectivelyXue et al [] proposed a coal Lightweight detection model for coal gangue identification based 2024年5月20日 A coal gangue recognition method (CNNSVM) based on the combination of convolutional neural network (CNN) and support vector machine (SVM) is proposed, which has obvious advantages compared with traditional classification models and classical classification models, and the recognition speed is faster compared with the mainstream classification modelsResearch on efficient classification algorithm for coal and gangue Existing deep learning technologies used to classify coal and gangue are mostly carried out in laboratory environment, which cannot meet the needs of actual coal mining process To apply in actual environment, we propose an image window pixel information interaction method that synergizes the strengths of Convolutional Neural Networks (CNN) and Swin TransformerCoal and gangue classification in actual environment of mines
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Detection of Coal and Gangue Based on Improved
2024年2月15日 To address the lightweight and realtime issues of coal sorting detection, an intelligent detection method for coal and gangue, Ourv8, was proposed based on improved YOLOv8 Images of coal and gangue with 2023年10月7日 For the traditional machine learning methods rely on manual experience and deep learning classification model depth and complex structure, resulting in poor gangue classification performance, this paper proposes a coal gangue recognition method (CNNSVM) based on the combination of convolutional neural network (CNN) and support vector machine Research on coal gangue classification recognition method DOI: 102139/ssrn Corpus ID: ; Coal and Gangue Classification in Actual Environment of Mines Based on Deep Learning @article{Luan2023CoalAG, title={Coal and Gangue Classification in Actual Environment of Mines Based on Deep Learning}, author={Hengxuan Luan and Haoliang Xu and WeiFeng Tang and Ying Tian and Qiang Coal and Gangue Classification in Actual Environment of Mines Traditional coal gangue classification methods such as manual sorting and mechanical wet selection are inefficient, costly, and environmentally polluting In the context of the carbon peaking and carbon neutrality goals, these methods can no longer meet the requirements of modern smart mines for coal gangue classification摘要详情 Coal Gangue Image Classification Method Based on
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Characterization studies on coal gangue for sustainable geotechnics
2020年2月5日 Coal gangue, a residue produced during the coal mining process, has found sparse utilization in civil engineering applications (1970) Classification and identification of soils for general engineering purposes Indian standards, methods of tests for soils, New Delhi, India2023年6月14日 The GSAGNet model in this study can classify coal and gangue efficiently, which can effectively enable the separation of underground coal andgangue and has specific practical application significance and value It is vital to differentiate between coal and gangue in coal mining effectively In recent years, classification methods for images of coal‐ and Research on image classification of coal and gangue based on a 2023年12月8日 This study introduces a classification method for coal and gangue based on a combination of laserinduced breakdown spectroscopy (LIBS) and deep learning The method employs Gramian angular summation fields (GASF) to convert 1D spectral data into 2D timeseries data, visualizing them as 2D images, before employing a novel deep learning model Coal and Gangue Classification Based on LaserInduced2023年11月11日 Coal gangue image recognition is a critical technology for achieving automatic separation in coal processing, characterized by its rapid, environmentally friendly, and energysaving nature However, the response characteristics of coal and gangue vary greatly under different illuminance conditions, which poses challenges to the stability of feature extraction Research on Recognition of Coal and Gangue Based on Laser
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Coal and gangue classification in actual environment of mines
Luan et al (2023) developed a coal and gangue classification network that synergized the advantage of CNNs and the SwinTransformer , surpassing four machine learning methods and four other deep 2023年6月14日 For example, Hong et al proposed a method based on AlexNet architecture and transfer learning to identify coal and gangue automatically 18, 19 Su et al improved the LeNet5 model by enhancing the activation function, network depth, and the size and number of convolutional kernels to improve coal and gangue classification accuracy 20, 21 Pu Research on image classification of coal and gangue based on a 2023年12月8日 During the extraction and processing of coal, a large amount of solid waste, collectively known as gangue, is produced This gangue has a low carbon content but a high ash content, accounting for approximately 15 to 20% of the total coal yield Before coal is used, coal and gangue must be effectively separated to reduce the gangue content in the raw coal and Coal and Gangue Classification Based on LaserInduced 2022年12月20日 For coal and gangue, It takes only 0 s for the secondary SVM classification model to process 60 groups of test samples, and the recognition accuracy is 9833%, which is superior to the constructed SVM classification model, Research on the Identification Mechanism of Coal Gangue Based
RRBMYOLO: Research on Efficient and Lightweight Convolutional
2024年10月29日 Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements In response to the above, this article proposes a new “hardware friendly” coal gangue image recognition algorithm, RRBMYOLO, which is combined with dark light Contribute to renqi1/CoalGangueClassification development by creating an account on GitHub pytorch图像分类，煤与矸石分类 Contribute to renqi1/CoalGangueClassification development by creating an account on GitHub Skip to content CoalGangueClassification/READMEmd at main2021年9月8日 Detection, identification and sorting of coal gangue is an important part of the intell it sends the collected image data to the DCNYOLOv3 network for detection and identification and performs realtime classification and labelling of Coal gangue detection and recognition algorithm based on 2023年12月18日 A supervised classification method using support vector machines (SVM) was used to recognize coal and gangue, and the evaluation of classification accuracy shows that more than 82% of the pixels can be correctly classified, and this study provides strong support for the visual sensors with complete spectral band combinations to achieve higher accuracyA micromultispectral vision sensor: research on online
Research on efficient classification algorithm for coal and gangue
2024年5月20日 ABSTRACT Aiming at the problems of insufficient attention to spatial information, long classification training time, and high model complexity in current gangue image classification algorithms, a lightweight fast recognition model for gangue based on improved MobileNetV3small is proposed2021年12月4日 Coal gangue is a kind of industrial waste in the coal mine preparation process Compared to conventional manual or machinebased separation technology, visionbased methods and robotic grasping are superior in cost and maintenance However, the existing methods may have a poor recognition accuracy problem in diverse environments since coals Coal and Gangue Recognition Method Based on Local Texture2023年2月9日 The early fusion network can complete the coal gangue classification target task faster and better than the late fusion network To further analyze the recognition and classification effect of coal gangue, the confusion Study on recognition of coal and gangue based on Coal gangue is one of the largest mine solid wastes in China, and its discharge and stockpiling have caused resource waste, environmental pollution and other problems Starting from the resource characteristics of coal gangue, this paper Research Progress on Comprehensive Utilization of
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The Sustainable Utilization of Coal Gangue in Geotechnical and
2022年4月6日 “Effect of coal gangue particle size on its leaching characteristics” In GeoCongress 2020: GeoSystems, Sustainability, Geoenvironmental Engineering, and Unsaturated Soil Mechanics, Geotechnical Special Publication 319, edited by J P Hambleton, R Makhnenko, and A S Budge, 107–114pytorch图像分类，煤与矸石分类 Contribute to renqi1/CoalGangueClassification development by creating an account on GitHubCoalGangueClassification/trainpy at main2019年11月1日 The experiments of coal and gangue classification under multiple conditions are performed using the test rig depicted in Fig 2 where 1 denotes a computer, 2 denotes an LED (four lights in total), 3 denotes a camera, and 4 denotes a sunshadeClassification of coal and gangue under multiple surface conditions via 2023年5月25日 Coal gangue, produced during coal mining and processing [1, 2], is one of the most extensively produced solid wastes in China [1, 3], accounting for approximately 10%‒20% of raw coal production []The accumulation of coal gangue causes serious environmental, social, and economic problems in the coal mining area []Heavy metals and harmful organic substances in Lowcarbon utilization of coal gangue under the carbon
Coal and gangue classification in actual environment of mines
2023年4月1日 Coal and gangue classification is crucial to coal preparation technology in the coal mining process Existing research on gangue image classification is almost carried out in the ideal laboratory environment, without considering the limitations of actual coal mine production on lighting conditions and equipment installation2023年10月7日 Download Citation Research on coal gangue classification recognition method based on the combination of CNN and SVM For the traditional machine learning methods rely on manual experience and Research on coal gangue classification recognition method This study proposes an image window pixel information interaction method that synergizes the strengths of CNN and Swin Transformer This study proposes a coal and gangue classification method based on the Swin Transformer model This study establishes two datasets of coal and gangue in an actual coal mine environment The proposed method can classify coal and Coal and gangue classification in actual environment of2022年4月19日 At present, the intelligent ganguesorting system has gained more and more attention, the general structure is shown in Fig 2In the identification unit, the intelligent algorithm is used to identify the coal and gangue, which provides the precondition for the classification of subsequent execution unitsFast identification model for coal and gangue based on the