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
Project report on deep processing of coal gangue
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 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 2022年12月5日 The application of the coal gangue identification method in underground mines can promote the development of dry separation technology of coal gangue, avoid the accumulation of ground gangue, and help to build a Rapid Analysis of Composition of Coal Gangue Based 2024年10月23日 To address the low recognition accuracy of models for coal gangue images in intelligent coal preparation systems—especially in identifying small target coal gangue due to Optimization Study of Coal Gangue Detection in Intelligent Coal
Design and application of coal gangue sorting system based on
2024年7月17日 This paper proposed a hierarchical framework for coal and gangue detection based on deep learning models, using the Gaussian pyramid principle to construct multilevel 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 natureResearch on Recognition of Coal and Gangue Based on 2024年9月7日 Given the coal gangue properties and global land degradation severity, the resourceful utilization of coal gangue as soil conditioners is believed to be a universally Opportunities, challenges and modification methods of coal 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 Library
Recognition and sorting of coal and gangue based on image
2021年11月23日 The experiment results showed that the images of coal and gangue can be precisely recognized based on RSEEM under the influence of long running pollution and 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 sourceDesign and application of coal gangue sorting system based on deep 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 Enhancing Fatigue Performance of Coal Gangue 2024年10月23日 To address the low recognition accuracy of models for coal gangue images in intelligent coal preparation systems—especially in identifying small target coal gangue due to factors such as camera angle changes, low illumination, and motion blur—we propose an improved coal gangue separation model, Yolov8nimprovedGD(GD—Gangue Detection), Optimization Study of Coal Gangue Detection in Intelligent Coal
Design and application of coal gangue sorting system based on deep
2024年7月17日 A deep learningbased, noncontact gangue recognition and pneumatic intelligent sorting system that achieves a gangue identification accuracy exceeding 97%, a sorting rate above 91%, and a separation time of less than 3 s from identification to separation, thereby effectively enhancing raw coal purity With the advancement of science and technology, coal 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 γray2024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 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 YOLOv8Detection of Coal and Gangue Based on Improved YOLOv8
Image feature extraction and recognition model construction of coal
samples ese coal and gangue samples are mostly 15–20 cm in size, and the coal is mostly fat coal, gangue is mostly sandstone gangue At the same time, through eld investigation, it is found 2015年8月23日 Firstly the image of coal or gangue is preprocessed Then the mean value of gray histogram is extracted which serves as the statistical feature value to initially recognize coal and gangue Then the textural feature is extracted from the image which is based on an adaptive window of texture analysisResearch on recognition of coal and gangue based on image processing 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 2024年2月1日 Coal is not only the most abundant fossil fuel on earth, but also an indispensable energy source in the industrial age According to the data of “2021 National Mineral Resources Reserve Statistics Table”, the cities with the most coal reserves in China's energy minerals are Inner Mongolia, Xinjiang, Shanxi, Hebei, Chongqing, Gansu, Shaanxi and other regionsRepresentative coal gangue in China: Physical and chemical
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 2024年6月4日 The coal industry is an important pillar industry of economic development in China, with coal mining produced a lot of coal gangue, which is occupied land, and pollution of the environment, and the production and life of coalproducing areas have been seriously affected, coal gangue has become a heavy burden restricting the sustainable development of coal Characteristics of Coal Gangue and Present Situation and 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
Consolidation Enhancement of Weathered Coal Gangue Utilized
2024年11月4日 The largescale, openair storage of coal gangue often leads to oxidation and decomposition due to natural weathering, resulting in decreased strength and instability, which limits its wider application in concrete pavement To address these issues, this paper proposed a composite consolidation treatment for weathered coal gangue (WCG), assessing its 2022年12月5日 Grayscale processing of coal and gangue images In the processing of color images, the three components of R, G and B should be processed respectively, but in fact they cannot reflect the Image feature extraction and recognition model construction of coal 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5日 In order to study the response characteristics of coal and gangue under different illuminance, a coalgangue image acquisition system with adjustable illuminance was designed, and some coalgangue Image feature extraction and recognition model construction of coal
The Influence of CO2 Curing on the Properties of Coal Gangue
2024年6月27日 Coal gangue is a solid waste, which can cause serious pollution of the atmosphere and water sources due to its longterm accumulation In this article, the influence of CO2cured coal gangue on the slump flow, the mechanical strengths, the thermal conductivity coefficient, the chloride ion permeability, the water resistance coefficient and the leached Pb of 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 Research on Coal and Gangue Recognition Based on 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 2019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
Recognition and sorting of coal and gangue based on image
2021年11月23日 The experiment results showed that the images of coal and gangue can be precisely recognized based on RSEEM under the influence of long running pollution and similar background grayscale, and the recognition accuracy can reach to 9615% as well as grasping accuracy to 85% at 04 m/s conveyor belt speed ABSTRACT The recognition and sorting of 2022年7月1日 1 Introduction A coal gangue sorting manipulator plays an important role in green mining Because it needs to sort the coal gangue at different positions on a conveyor belt when performing the coal gangue rough sorting tasks, the coal gangue sorting manipulator has high requirements for the detection algorithm [1]However, traditional target detection Research on intelligent detection of coal gangue based on deep 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 MDPI2024年7月3日 Aiming at the problems of the large storage, complex composition, low comprehensive utilization rate, and high environmental impact of coal gangue, this paper carried out experimental research on the preparation of iron oxide red from highiron gangue by calcination activation, acid leaching, extraction, and the hydrothermal synthesis of coal Experimental Study on the Preparation of HighPurity Iron Oxide
Research on Coal and Gangue Recognition Model Based on CAM
2023年8月2日 In response to the multiscale shape of coal and gangue in actual production conditions, existing coal separation methods are inefficient in recognizing coal and gangue, causing environmental pollution and other problems Combining image data preprocessing and deep learning techniques, this paper presents an improved EfficientNetV2 network for coal 2023年9月21日 In this study, the research aim is to enhance the activity index of activated coal gangue and study its activation mechanism The activation process of coal gangue was optimized through orthogonal tests, and the BackPropagation (BP) neural network model was improved using a genetic algorithm With the effects of grinding duration, calcination temperature, and Study on the Reactivity Activation of Coal Gangue for Efficient2024年10月23日 The article is positioned in the domains of coal gangue research (part of intelligent coal selection systems), and realtime object deeplearning detection of gangues via usage of Yolov8n The authors have proposed an improved version of Yolov8n, called the Yolov8nimproveOptimization Study of Coal Gangue Detection in Intelligent Coal 2024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 on
Image Recognition of Coal and Coal Gangue Using a
2019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 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 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 YOLOv4TinyBased Coal Gangue Image Recognition and FPGA2024年11月1日 The method utilizes just a few characteristic spectra of 3740–3700 cm −1, 1790–1750 cm −1, 1615–1583 cm −1, 1580–1540 cm −1, 1550–1440 cm −1, 1270–1210 cm −1 and 867–854 cm −1 to achieve 100 % highaccuracy classification of coal gangue and identification of coal types with total 250 spectra, such as bituminite, anthracite, lignite, roof Classification of coal gangue and identification of coal type
Experimental Study on the Purification Mechanism of Mine Water by Coal
2023年2月10日 Coal mining has caused groundwater pollution and loss Using a mined area as a water storage space for storing and purifying mine water is a lowcost environmentally friendly mining method In this study, static and dynamic adsorption experiments on the ions in mine water were carried out using the roof rocks from the Lingxin coal mine The sample analysis results 2024年8月3日 Existing deep learningbased methods for coal gangue identification, an improved deep recognition network model for coal gangue identification is proposed ZHAO QiaorongResearch progress and direction of coal gangue recognition technology based on image processing [J], Modern Mining, 2021, 37 (11):200203Coal and gangue recognition and detection based on deep 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 2015年7月22日 A novel method based on image processing that not only considers the image's gray feature but also utilizes the image’s spatial information, so the recognition precision is improved and provides new ideas for dry separation technology In order to avoid the waste of water resources and environmental pollution caused by separating coal and gangue in the Research on recognition of coal and gangue based on image processing
Coal and Gangue Recognition Method Based on Local Texture
2021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