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
Shanghai coal detection research
Ping CHENG Professor Dr Shanghai University,
Ping CHENG, Professor Cited by 1,833 of Shanghai University, Shanghai (SHU) Read 124 publications Contact Ping CHENGTraditional coal identification methods require the determination of indicators such as dry ashfree volatile matter, the light transmittance of lowrank coal, bonding index, the gross calorific value Research on Coal Species Identification Based on NearInfrared 2020年5月8日 The research on coal petrology will improve the scientificity and safety of coal mining in China, and promote the efficient processing and utilization of coal chemical industry Research progress and prospects of coal petrology and coal 2022年12月5日 Aiming at the problem of low accuracy of coal gangue recognition in fully mechanized caving mining, the extraction method of Coal and gangue images features is Image feature extraction and recognition model construction of
Cailan GONG Shanghai Institute of Technology, Shanghai ER SHI
Chlorophyll fluorescence properties are effective in detecting chlorophyll a concentration in lake water, which provided new optional sensitive bands to retrieval chla concentration in complex2024年6月30日 Advancements in artificial intelligence have opened novel prospects in the domain of coal preparation, such as the intelligent photoelectric identification of coal gangue Intelligent photoelectric identification of coal and gangue − A This research combines spectroscopy with deep learning algorithms and proposes a method for quickly identifying coal types in the field First, we collect field spectral data of various coalsDong XIAO Shanghai Jiao Tong University, Shanghai SJTU2024年4月3日 Three models, partial least squares, a library for support vector machines, and backpropagation (BP) neural network were developed to identify coal and gangue using Identification of Coal and Gangue Using VisibleNear Infrared (Vis
Lightweight detection model for coal gangue identification based
2024年7月23日 An improved tinyYOLOv3based fast identification model is proposed in this paper, which including the spatial pyramid pooling (SPP) net, the squeezeandexcitation (SE) Wang SHENGHAO Cited by 41 Read 11 publications Contact Wang SHENGHAOWang SHENGHAO Ph D Research profileYuan FENG Cited by 49 of Shanghai Jiao Tong University, Shanghai (SJTU) Read 11 publications Contact Yuan FENGYuan FENG Shanghai Jiao Tong University, Shanghai SJTUDr Yuzhang Wang is currently working at the Institute of Turbomachinery, Shanghai Jiao Tong University His research subjects are mostly related to 1) Film cooling, thermal barrier coating and Yuzhang WANG Professor (Associate) PhD
Xiaoyang CAO Shanghai University, Shanghai SHU CIMS
Xiaoyang CAO Cited by 263 of Shanghai University, Shanghai (SHU) Read 18 publications Contact Xiaoyang CAOThe intellectualization of coal mine is the only way for the highquality development of coal, and the online detection and separation of coal and gangue are necessary links of coal mine Research and Practice of China's Intelligent Coal Mines2023年9月12日 Journal of Shanghai Jiaotong University WANG W, et al Research of Xray nondestructive detector for highspeed running conveyor belt with steel wire ropes [J]//Proceedings of ZHANG X, MA X, et al Foreign object detection in coal mine conveyor belt based on CBAMYOLOv5 [J] Journal of China Coal Society, 2022, 47(11): 4147 Damage Detection of Xray Image of Conveyor Belts with SteelHaibo WANG Cited by 6 of Shanghai Jiao Tong University, Shanghai According to the borehole drilling detection results of a superhighfill highway subgrade that crossed an openpit coal Haibo WANG PhD student Shanghai Jiao Tong University, Shanghai
Coal Gangue Detection Based on MultiSpectral Imaging
2020年12月25日 Download Citation Coal Gangue Detection Based on MultiSpectral Imaging and Improved YOLO v4 The separation of coal gangue from coal is of great significance for environmental protection and Wu ZHOU, Professor Cited by 1,244 of University of Shanghai for Science and Technology, Shanghai (USST) Read 79 publications Contact Wu ZHOUWu ZHOU Professor Doctor of Engineering University of Shanghai 2023年12月17日 Shanghai Superconducting Transmission Engineering Technology Research Center （上海超导传输工程技术研究中心） 50 Shanghai Coalbased Polygeneration Engineering Technology Research Center （上海煤基多联产工程技术研究中心） 51 Shanghai Nuclear Power Engineering Technology Research CenterScientific research institutionsResearch Institutes ShanghaiRequest PDF On Mar 12, 2023, Deyong Li and others published Research on Coal Gangue Detection and Recognition Based on Lightweight Network MSYOLOV3 Find, read and cite all the research you Research on Coal Gangue Detection and Recognition Based on
(PDF) Research on Coal Flow Visual Detection and the
2024年7月7日 PDF In this paper, machine vision technology is used to recognize the coal flow on a conveyor belt and control the running speed of a motor according Find, read and cite all the research 2020年4月17日 Coal Detection (RCD) technology provides an early warning system that identifies the presence of Australian Coal Association Research Program: Brisbane, QLD, Australia, 2002 (PDF) Remnant Coal Detection System ResearchGateJingtian ZHU Cited by 126 of Shanghai Jiao Tong University, Shanghai (SJTU) Read 11 publications Contact Jingtian ZHUJingtian ZHU Shanghai Jiao Tong University, Shanghai SJTU Qianqian BI Cited by 22 of East China Normal University, Shanghai (ECNU) Read 7 publications Contact Qianqian BIQianqian BI East China Normal University, Shanghai ECNU Research
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Research on Coal Exploration Technology Based on Satellite
2016年6月1日 Shanghai Jiao Tong University; Ba Tuan Research on Coal Exploration In addition, Xiao et al [87] performed coal detection in open pit coal mining areas in China and Vietnam using multi li ZHANG Cited by 2,224 of Shanghai Jiao Tong University, Shanghai (SJTU) Read 54 publications Contact li ZHANGli ZHANG Shanghai Jiao Tong University, Shanghai SJTUExpertised in blast furnace ironmaking, metallurgical resource recyling and Mathematical model application in steel industry Experienced computational fluiddynamics (CFD) and discrete element Yaowei YU Professor Doctor of Science Shanghai University 2021年9月8日 PDF The intelligentisation of coal mines is the only approach to the highquality development of the coal industry Detection, Find, read and cite all the research you need on ResearchGate(PDF) Coal gangue detection and recognition algorithm based on
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(PDF) Ash Detection of Coal Slime Flotation Tailings Based on
PDF On Jan 1, 2023, Wenbo Zhu and others published Ash Detection of Coal Slime Flotation Tailings Based on Chromatographic Filter Paper Sampling and MultiScale Residual Network Find, read and Download Citation On Dec 1, 2021, Kai He and others published Event monitoring of coal mill operation state based on acoustic fingerprint Find, read and cite all the research you need on Event monitoring of coal mill operation state based on2022年5月1日 Coalgangue separation based on machine vision and deep learning has attracted more research Some object detection models have been proposed for coalgangue detection, such as cascade network [23 Research on Intelligent Detection of Coal Gangue Based on Deep The existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices There are errors and omissions in detecting foreign objects of different sizes and small objects Foreign object detection of coal mine conveyor belt
Yanli FENG Shanghai University, Shanghai SHU School of
Yanli FENG Cited by 2,965 of Shanghai University, Shanghai (SHU) Read 50 publications Contact Yanli FENGCurrent project: 1) Microfabrication of functional nanoporous materials; 2) MEMS gas sensors; 3) Extreme UV lithographyMin TU Group Leader PhD Shanghai Institute of Microsystem Associate Professor in Remote Sensing and SAR image processing, particularly focus on the development of advanced pixel selection and optimization algorithms for multitemporal (Pol)DInSAR techniquesFeng ZHAO Professor (Associate) Doctor of Philosophy China 2016年2月1日 With these data the local coalfired source primary PM25 profiles in Shanghai were established, showing characteristics of high abundances of , Ca2+, Al, Fe, S, organic carbon, and geological Emissions and source profiles of PM25 for coalfired boilers in the
Highsensitivity longperiod fiber grating sensor with
2013年8月1日 Request PDF Highsensitivity longperiod fiber grating sensor with SAN/cryptophane A for coal mine gas detection A highsensitivity longperiod fiber grating (LPFG) methane sensor that GPR has many applications in geological profiling 1 , pipe and cable detection 2 , archaeology 3,4 , tunnelling [5] [6] [7] and coal bed thickness detection 8,9 Jiansheng Wu's research works Tongji University, Shanghai and 2022年5月20日 Request PDF Field Detection of Highly Oxygenated Organic Molecules in Shanghai by Chemical Ionization–Orbitrap Secondary organic aerosol, formed through atmospheric oxidation processes Field Detection of Highly Oxygenated Organic Molecules in Shanghai 2023年9月4日 Experimental results show that the improved model size of the coal gang detection algorithm reduces the compression by 778 percent, the number of parameters by 783 percent, the computational (PDF) Research on target detection method of coal gangue
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Research on coal volume detection and energy
2023年1月1日 Research on coal volume detection and energysaving optimization intelligent control method of belt conveyor based on laser and binocular visual fusion January 2023; IEEE Access PP(99):11;2021年3月17日 Underground coal fires have become a worldwide disaster, which brings serious environmental pollution and massive energy waste Xinjiang is one of the regions that is seriously affected by the underground coal fires Underground Coal Fire Detection and Monitoring 2022年6月29日 Coal converts chemical energy into energy such as electricity, heat, and Find, read and cite all the research you need on ResearchGate Article PDF Available(PDF) Coal Identification Based on Reflection ResearchGate2022年3月17日 As the core part of the conveyor, the belt is Find, read and cite all the research you need on ResearchGate Belt Tear Detection for Coal Mining Conveyors Micromachines 2022, 13, 449 Belt Tear Detection for Coal Mining Conveyors ResearchGate
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Network structure detection and analysis of Shanghai stock
2015年4月28日 Purpose: In order to investigate community structure of the component stocks of SSE (Shanghai Stock Exchange) 180index, a stock correlation network is built to find the intracommunity and inter 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 different densities under two diverse lighting environments were collected Then the Laplacian image enhancement algorithm was Detection of Coal and Gangue Based on Improved YOLOv8 MDPIJiale CHEN, PhD Student Cited by 37 of East China Normal University, Shanghai (ECNU) Read 6 publications Contact Jiale CHENJiale CHEN PhD Student PHD student ResearchGatebut research regarding the intelligent construction of coal mines is still in its primary stages Wei et al [4] proposed an infrared thermal imaging personnel detection methodEvaluation Model Research of Coal Mine Intelligent Construction
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Shucheng YANG Research Associate Doctor of Philosophy
I am now a research associate at Shanghai Astronomical Observatory, CAS My main research area is gravitational wave astronomy Gravitational waves(GWs), which are predicted by Einstein's general