Deep processing equipment for coal gangue

Design and application of coal gangue sorting system based on

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,2023年11月6日  Conventional coal gangue separation equipment, such as spiral separation equipment, heavy medium shallow trough separation equipment, and TBS interference bed separation equipment have the advantages of mature A review of intelligent coal gangue separation 2024年9月1日  Gao designed a coal gangue intelligent sorting system using machine vision to sort the coal flow on conveyors This system mainly consists of a gangue sorting platform for Research and prospect of underground intelligent coal gangue 2023年12月21日  To tackle the challenges associated with coal gangue target detection, including algorithm performance imbalance and hardware deployment difficulties, in this paper, an intelligent gangue separation system that adopts Intelligent Gangue Sorting System Based on Dual

Design and application of coal gangue sorting system based on

Traditional manual gangue picking and multiaxis robotic arm gangue selection currently sufer from low recognition accuracy, slow sorting eficiency, and high worker labor intensity This 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 2024年4月1日  Zhao Minghui introduced a method that uses the CornerNetSqueeze deep learning model to determine whether target areas contain coal or gangue and then identifies A lightweight coal gangue detection method based on 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, A fast recognition method for coal gangue image processing

Intelligent Sorting System of Coal Gangue with Machine Vision

The automatic sorting of coal gangues can be realized by the machine vision based on sorting technology and the mechanical arms As a result, the production cost can be effectively 2024年1月9日  Aiming at the problems of complicated sorting process and low sorting efficiency of coal gangue, a coal gangue sorting method based on deep learning was proposed The Coal gangue sorting based on deep learning SPIE Digital Library2024年2月23日  To address the issues of complex algorithm models, poor accuracy, and low realtime performance in the coal industry's coal gangue sorting, a lightweight realtime detection method called YOLOv8sGSC is proposed based on the characteristics of coal gangue This method incorporates the ghost module into the YOLOv8s backbone network to reduce the The realtime detection method for coal gangue based on2024年7月23日  Focusing on the issues of complex models, high computational cost, and low identification speed of existing coal gangue image identification object detection algorithms, an optimized YOLOv5s lightweight detection model for coal gangue is proposed Using ShuffleNetV2 as the backbone network, a convolution pooling module is used at the input end instead of the Lightweight detection model for coal gangue identification based

A fast recognition method for coal gangue image processing

A modified YOLOv4 model, named GYOLO, for coal gangue recognition is proposed with the aim of reducing model parameters, improving calculation speed, and reducing equipment requirements This paper proposes a modified YOLOv4 model, named GYOLO, for coal gangue recognition with the aim of reducing model parameters, improving calculation speed, and 2023年4月1日  Such selfattention calculation makes the classification model only focus on the foreground of the image, but not on the background in dim environment Hence, for coal and gangue classification in actual environment of mines, we propose a coal and gangue classification framework based on the Swin Transformer model, as shown in Fig 4Coal and gangue classification in actual environment of mines 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 LearningThis paper presents a deep learningbased coal gangue sorting 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 source The specific equipment Design and application of coal gangue sorting system based on deep

An ImageBased Hierarchical Deep Learning Framework for Coal and Gangue

D Li et al: ImageBased Hierarchical Deep Learning Framework for Coal and Gangue Detection FIGURE 1 Overview of our method results in unsupervised classi˝cation task by using the priori 2023年8月31日  Coal gangue is a waste byproduct generated during coal mining and processing It is harder than coal, has a lower carbon content, and its main components are SiO 2 and Al 2 O 3 Coal gangue has become a significant industrial solid waste because it pollutes the environment and is prone to spontaneous combustionHow to Recycle and Process Coal Gangue: 7 Effective Ways2023年4月24日  Coals will still constitute the master energy source in long future Regrettably, the gangue in coals can whittle down the coal’s combustion efficiency and induce nocuous gases for environmental contamination []It is indispensable to divorce gangue from raw coals for an ecobenign and efficient utilization of coals []In this context, computer visionassisted mineral A Swin transformerfunctionalized lightweight YOLOv5s for real 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

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 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 Rapid Analysis of Composition of Coal Gangue Based 2021年9月8日  Xiangang et al proposed a coal gangue recognition method driven by deep learning that is based on the differences in the surface characteristics of coal gangue; they also studied the coal gangue location Coal gangue detection and recognition algorithm 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

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 2024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 DOI: 101016/jegyai2024 Corpus ID: ; STATNet: Onestage coalgangue detector based on deep learning algorithm for real industrial application @article{Zhang2024STATNetOC, title={STATNet: Onestage coalgangue detector based on deep learning algorithm for real industrial application}, author={Kefei Zhang and Teng Wang STATNet: Onestage coalgangue detector based on deep 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

Lowcarbon utilization of coal gangue under the carbon

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 Abstract: 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 to enterprises and results in low efficiency As an important branch of artificial intelligence, deep learning has been widely applied in many fields, especially in machine vision Recognition Methods for Coal and Coal Gangue Based on Deep Identifying the coalgangue mixing ratio during top coal caving is essential for automating the coal caving process efficiently In this article, a block impression reconstruction method is proposed to create 3D models of coalgangue mixtures with varying gangue ratios and morphological distributions, based on real coalgangue blocks that reflect actual coalfalling conditionsCoalgangue recognition for top coal caving face based on 2023年10月7日  No matter for traditional methods or current deep learning methods, the quantity and quality of datasets are crucial In this paper, by collecting coal and gangue samples of different sizes and simulating the onsite sorting environment, we use Daheng industrial camera to image the coal and gangue samples, and finally, 1528, 787 for coal, and 741 for gangue are Research on coal gangue classification recognition method based

YOLOv4TinyBased Coal Gangue Image Recognition and FPGA

deep learning algorithm can automatically learn the features of coal gangue images, with higher recognition accuracy and recognition speed Li [13] designed a CGRPN network2019年12月1日  The accumulation of considerable coal gangue not only occupies a great deal of land resource, but also results in serious environmental problems, eg, soil pollution, air pollution, and geologic hazards (Stracher and Taylor, 2004)The heat continues to accumulate during the accumulation process, which leads to spontaneous combustion with the oxidization of coal Comprehensive utilization and environmental risks of coal gangue: A 2019年12月19日  The efficient separation of coal and gangue in the mining process is of great significance for improving coal mining efficiency and reducing environmental pollution Automatic detection of coal and gangue is the key and foundation for the separation of coal and gangue In this paper, we proposed a hierarchical framework for coal and gangue detection based on An ImageBased Hierarchical Deep Learning Framework for Coal and Gangue The gangue is wrapped by slurry in underground coal mine, which causes difficult coalgangue recognition and sorting The underground working space is narrow, so the equipment layout is difficult, and the diversion of coalgangue is difficult Therefore, developing a highperformance, highly reliable intelligent coalgangue sorting robot is necessary The paper analyzes the Research progress and key technologies of intelligent coalgangue

Underground Disposal of Coal Gangue Backfill in China MDPI

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 2021年1月2日  The use of image processing to recognize coal and gangue is safer and more convenient than traditional coal washing methods, since it does not require complex equipment or water for heavymediabased techniques, Research on intelligent detection of coal gangue based on deep learning Measurement, Volume 198, 2022, Article Cascade network for detection of coal and gangue in the 2024年1月18日  Coal gangue is a fixed coal mining, washing, and processing product It is a blackgray rock with lower carbon content and harder than coal associated with coal seams during the coal formation process And its chemical composition is SiO2, Al2O3, Fe2O3, MgO, CaO, TiO2, etc What Minerals Do Coal Gangue Mainly Contain? Coal gangue refers []Coal Gangue: Composition, Processing, Use And Recycling2020年5月13日  To keep the sorting workers away from the harsh working environment, intelligent coal gangue sorting equipment, based on deep learning and point cloud processing techniquesImage positioning and identification method and system for coal

Cascade network for detection of coal and gangue in the

2021年1月2日  1 Introduction Separation of coal and gangue is the key to efficient and clean utilization of coal [1]In this context, mineral sorting technology based on computer vision has been the focus of research in recent years [2]The use of image processing to recognize coal and gangue is safer and more convenient than traditional coal washing methods, since it does not Coal gangue image recognition is a critical technology for achieving automatic separation in coal processing, characterized by its rapid, environmentally friendly, and energysaving natureThe experimental dataset for coal and gangue after 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 YOLOv4TinyBased Coal Gangue Image Recognition 2023年1月19日  The identification of coal gangue is of great significance for its intelligent separation To overcome the interference of visible light, we propose coal gangue recognition based on multispectral imaging and Extreme Gradient Boosting (XGBoost) The data acquisition system is built in the laboratory, and 280 groups of spectral data of coal and coal gangue are Coal gangue recognition based on spectral imaging combined

Which Crusher is Better for Coal Gangue Crushing?

2022年6月10日  Jaw crushers, impact crushers, and sandmaking machines are the most commonly used equipment in the crushing production of coal gangue They are both fixed and mobileMobile gangue includes crawler type and tire type Among them, the crawlertype gangue mobile crusher can walk freely, and the tiretype coal gangue mobile crusher can also enter 2024年1月13日  To address the technical limitations of automatic coal and gangue detection technology in fully mechanized top coal caving mining operations, the low radiation level radioactivity measurement Precise detection of coal and gangue based on natural γray2019年5月8日  Recognizing and distinguishing coal and gangue are essential in engineering, such as in coalfired power plants This paper employed a convolutional neural network (CNN) to recognize coal and Image Recognition of Coal and Coal Gangue Using a 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

Coalgangue sound recognition using hybrid multibranch CNN

2024年10月9日  The coalgangue recognition technology plays an important role in the intelligent realization of fully mechanized caving face and the improvement of coal quality Although great progress has been 2023年2月26日  The recognition of coal and gangue is the premise and foundation of coal gangue intelligent sorting Adaptive boosting (AdaBoost) algorithmbased coal gangue identification has not been studied in depth This paper proposed a coal gangue image recognition algorithm and a strong classifier based on the AdaBoost algorithm with a genetic Coal Gangue Recognition during Coal Preparation Using an

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