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 deep processing industry
Design and application of coal gangue sorting system
2024年7月17日 This paper presents a deep learningbased coal gangue sorting system for practical applications, enabling automatic and precise detection of gangue during the coal washing process,2024年9月1日 Addressing the problems of high excavation costs and maintenance difficulties of coal gangue sorting rooms in deep mining, our team has designed two sorting systems Research and prospect of underground intelligent coal gangue 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 This paper proposed an improved YOLOv4 algorithm as a classic deep learning method for the intelligent and highly accurate recognition of coal and coal gangueRecognition Methods for Coal and Coal Gangue Based on Deep
STATNet: Onestage coalgangue detector based on deep learning
2024年9月1日 Propose a onestage object detection model for accurate coalgangue detection Use Swintransformer as backbone to extract global multiscale information Improve feature 2024年9月7日 However, a substantial amount of coal gangue was generated and discharged during the coal mining, washing and processing processes Coal gangue, a blackgray rock Opportunities, challenges and modification methods of coal 2021年9月8日 Focusing on various problems in coal gangue detecting and recognising algorithms, such as limited receptive field, slow convergence rate and low accuracy of small particle recognition, this paper proposes a coal gangue Coal gangue detection and recognition algorithm 2023年5月25日 Spontaneous combustion and conventional utilization processes of coal gangue can generate direct or indirect carbon emissions, which necessitates carbon–neutral actions in coal mining areas and the overall coal Lowcarbon utilization of coal gangue under the
Rapid Analysis of Composition of Coal Gangue Based
2022年12月5日 Many researchers have used machine learning techniques to analyze the spectral data of coal gangue, primarily random forests (RFs), extreme learning machines (ELMs), and twohiddenlayer extreme learning machines 2024年9月1日 Thoroughly outlines key technologies of underground intelligent coal gangue sorting Innovatively proposes intermittent and continuous coal gangue sorting devices and Research and prospect of underground intelligent coal gangue 2023年5月24日 This paper proposes a modified YOLOv4 model, named GYOLO, for coal gangue recognition with the aim of reducing model parameters, improving calculation speed, and reducing equipment requirements To achieve this, the paper optimizes the feature extraction network structure by using linear operation instead of traditional convolution to obtain A fast recognition method for coal gangue image processing2022年12月6日 Aiming at the problems of the existing coal gangue recognition methods based on image processing, such as the inaccurate positioning of coal gangue targets on the conveyor belt, and the influence An Improved Method of Coal Gangue Deep Learning
Multispectral Imaging: A New Solution for Identification of Coal and Gangue
Identification of Coal and Gangue Feng Hu 1 , Mengran Zhou 1,2 , Pengcheng Yan 1,2 , Kai Bian 1 , and Rongying Dai 1 1 School of Electrical and Information Engineering, Anhui University of Science 2021年11月23日 The recognition and sorting of coal and gangue are an important part of the process of reducing costs and improving production efficiency In this paper, under the influence of long running Recognition and sorting of coal and gangue based on image 2022年12月26日 Top coal caving is a process for the rational extraction of large amounts of coal resources However, this process readily causes release of excessive amounts of gangue during the coal release process The conventional technique, which involves visual inspection, is not only laborintensive but also can introduce inaccuracies Coal and gangue identification methods A review of coal gangue identification research—application to 2022年11月25日 China’s total coal production in 2021 exceeded 413 billion tons, 52% of the world’s total Coal gangue, a solid waste of coal mining accounts for 15–20% of coal production, when directly discharged on the ground surface as waste heaps, it occupies large areas of land and cause environmental pollution This paper summarizes the existing gangue backfilling Underground Disposal of Coal Gangue Backfill in China MDPI
Design and application of coal gangue sorting system based on deep
The coal gangue recognition module is primarily divided into two sections: the coal gangue image capturing section and the PC terminal image processing section The coal gangue image capture section comprises a cubic darkroom equipped with an industrialgrade digital camera array and a highly uniform strip light sourcethe highquality development of the coal industry, and it is a new direction for the revolution in coal productivity and production methods Online detection, identification and sorting of coal gangue is an important part of coal mine intelligentisation [1–3] In coal mining, a large amount of coal gangue is mixed with raw coal, and it Coal gangue detection and recognition algorithm based on 2024年9月1日 As a byproduct of coal production, coal gangue, if not handled properly, will pose an important hidden danger to the environment and safety Using underground intelligent coal gangue sorting technology can increase efficiency, protect the environment, and enhance safety, which is essential for achieving efficient and ecofriendly coal productionResearch and prospect of underground intelligent coal gangue 22 Recognition of Coal Gangue by Image Gray Histogram Method Considering that in the field production, when the CornerNet squeeze model completesAn Improved Method of Coal Gangue Deep Learning Recognition
Characterization studies on coal gangue for sustainable geotechnics
2020年2月5日 Global rise in greenhouse gas emissions (GHG) is triggered mainly due to the consumption of fossil fuels for power generation and domestic usage Among the fossil fuels, coal is a primary contributor to global GHG with substantial emissions generated during its mining and combustion process Coal gangue, a residue produced during the coal mining process, has Received: 3 June 2021 Revised: 25 August 2021 Accepted: 29 August 2021 IET Image Processing DOI: 101049/ipr212339 ORIGINAL RESEARCH PAPER Coal gangue detection and recognition algorithm based onCoal gangue detection and recognition algorithm based on 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 Detection of Coal and Gangue Based on Improved 2024年4月15日 Coal gangue is a byproduct of coal mining and processing, and according to incomplete statistics, China has amassed a substantial coal gangue stockpile exceeding 2600 large mountains, which poses a serious threat to the ecological environment Utilizing gangue as a coarse aggregate to produce gangue concrete (GC) presents a promising avenue for Enhancing Fatigue Performance of Coal Gangue Concrete (CGC
YOLOv4TinyBased Coal Gangue Image Recognition and FPGA
Nowadays, most of the deep learning coal gangue identification methods need to be performed on highperformance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption, huge size, and significant heat generation Aiming to resolve these problems, this paper proposes a coal 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 RRBMYOLO: Research on Efficient and Lightweight Convolutional 2023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 Laser2024年11月1日 Using coal gangue as subgrade filler (CGSF) can address the accumulated issues of coal mine waste, but also save the constructing costs, which has the important ecological and engineering Investigating the compaction and the mechanical behaviors of coal
YOLOv8ER belt conveyor coal gangue target monitoring
Objective The primary objective of this study is to tackle the manifold challenges associated with identifying coal gangue during coal mining, including but not limited to the inefficiencies, high operational complexity, and substantial costs inherent in traditional identification methods By integrating and refining advanced deep learning technologies, Keywords Coal gangue, Gangue sorting, Gangue detection, Deep learning, System applications Coal remains the primary source of energy in China, with its consumption consistently exceeding 50% HowDesign and application of coal gangue sorting system based on deep 2024年9月1日 STATNet: Onestage coalgangue detector based on deep learning algorithm for real industrial application Author links open overlay panel Kefei Zhang a, A fast recognition method for coal gangue image processing Multimed Syst, 29 (4) (2023), pp 23232335, 101007/s00530023011097 View in Scopus Google ScholarSTATNet: Onestage coalgangue detector based on deep 2021年10月18日 A coal gangue image recognition method based on complex conditions is proposed to address the current issue of imagebased coal gangue recognition being greatly affected by complex conditions(PDF) Using Deep Convolutional Neural Networks
Coal gangue detection and recognition algorithm based on
2021年9月8日 Focusing on various problems in coal gangue detecting and recognising algorithms, such as limited receptive field, slow convergence rate and low accuracy of small particle recognition, this paper proposes a coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 (DCN‐YOLOv3)2024年11月14日 The rapid advancement of artificial intelligence and robot technology has spurred the proposal and innovation of a coal gangue sorting robot system (CGSRS) paradigm The timevarying raw coal flow Scheme evaluation method of coal gangue sorting robot system 2022年4月19日 In the process of coal mining, the coal quality is greatly reduced due to the mixing of gangue, and the stacking and burning of coal and gangue can cause serious environmental pollution The fast identification of coal and gangue is an important technology for gangue sorting Considering tiny YOLO v3 has the advantages of fast running speed, simple Fast identification model for coal and gangue based on the 2024年1月11日 The recognition technology of coal and gangue is one of the key technologies of intelligent mine construction Aiming at the problems of the low accuracy of coal and gangue recognition models and the difficult recognition of smalltarget coal and gangue caused by lowillumination and highdust environments in the coal mine working face, a coal and gangue Research on Coal and Gangue Recognition Based on the
Investigating comparisons on the coal and gangue in various
2023年12月1日 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 2022年4月6日 AbstractAmong coal miningrelated wastes, coal gangue is the heterogeneous waste generated during the mineral processing or coal washing phase of coal mining A thorough understanding of A Bilgin, E Günay, and M Marşoglu 2012 “Use of waste marble powder in brick industry” Constr Build Mater 29: 449–457 The Sustainable Utilization of Coal Gangue in Geotechnical and 2021年9月8日 Focusing on various problems in coal gangue detecting and recognising algorithms, such as limited receptive field, slow convergence rate and low accuracy of small particle recognition, this paper proposes a coal gangue detection and recognition algorithm based on deformable convolution YOLOv3 (DCN‐YOLOv3)Coal gangue detection and recognition algorithm based on 2021年5月17日 Recognizing coal and coal gangue is an important part of the coal industry and is mainly conducted via human sorting at present Consequently, considerable manpower is needed, which adds a burden Recognition Methods for Coal and Coal Gangue Based on Deep Learning
Rapid Analysis of Composition of Coal Gangue Based
2022年12月5日 Coal gangue is the main solid waste in coal mining areas, and its annual emissions account for about 10% of coal production The composition information of coal gangue is the basis of reasonable utilization of coal Deep Coal Mines, Anhui University of Science and Technology, Huainan, China Accurate identification of coal and gangue is very important for realizing ef ficient Recognition method of coal and gangue based on multispectral6 Comprehensive utilization of lowcalorific value fuels such as coal gangue, coal slime and washed coal 7 Pipeline coal transportation 8 Development and application of technologies for clean and efficient coal washing 9 Control of ground subsidence areas, protection and utilization of mine water resourcesCatalogue for Guiding Industry Restructuring (2019 Edition)2024年8月3日 Existing deep learningbased methods for coal gangue identification, ZHAO QiaorongResearch progress and direction of coal gangue recognition technology based on image processing [J], Modern Mining WANG Haosheng, LEI Weiqiang, Coal gangue target detection of belt conveyor based on YOLOv5sSDE[J] Industry and Mine Automation Coal and gangue recognition and detection based on deep
Lightweight detection model for coal gangue identification based
2024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 2022年12月20日 For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented The results show that the gray value of single minerals and mixed Research on the Identification Mechanism of Coal Gangue Based 2023年5月24日 This paper proposes a modified YOLOv4 model, named GYOLO, for coal gangue recognition with the aim of reducing model parameters, improving calculation speed, and reducing equipment requirementsA fast recognition method for coal gangue image processing2024年4月1日 Traditional methods for coal gangue separation primarily involve manual and automatic sorting [1]Manual sorting, where workers visually pick out coal gangue, This process has a large labor force for sorting workers, and the production quality of coal is not guaranteed, which can easily lead to the phenomenon of missed detection and false detectionA lightweight coal gangue detection method based on
Coal and Coal Gangue Separation Based on Computer Vision
A 4layer Levenberg Marquart BP Neural Network is designed to implement multifeature fusion in coal and coal gangue separation system framework based on video and has well performance on separation accuracy and its processing speed achieves realtime We consider the problem of automatically separating coal and coal gangue based on computer vision and design a coal 2023年10月12日 Coal gangue sorting is a necessary process in coal mine production, and removing gangue is the basis for the coal production of clean energy; it is also an important approach to reduce the cost of washing, improve the grade of finished coal and increase the economic efficiency of coal mining enterprises For the problem of high similarity and low Coal Gangue Target Detection Based on Improved YOLOv5s MDPI