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·With the trend of intellectualization in industrial production mining enterprises put forward new requirements for ore sorting technology Among them the sensor based equipment is a high tech classification method with high efficiency low cost and no pollution so it has the potential for mineral pre enrichment and pre sorting in industrial applications
·development of efficient and sustainable ore sorting technologies has become an urgent task in the mining industry The rapid development of deep learning technology has brought new possibilities for ore classification and identification especially through image classification methods based on Convolutional Neural Networks CNNs
·sions of the Joint Geological Survey Bureau of Mines Resource Classification Agreement of November 21 1973 covering all min eral resources and will be used in future resource/reserve studies GLOSSARY OF COAL CLASSIFICATION TERMS Resources Concentrations of coal in such forms that economic extraction is currently or may become
2 ·Steam coal was once widely used as a fuel for steam locomotives where it is sometimes known as sea coal Anthracite is the highest rank of coal It is a harder glossy black coal used primarily for residential and commercial space heating
·THE COAL MINES REGULATIONS 1957 dated the 24th October 1957 In exercise of the powers conferred by section 57 of the Mines Act 1952 35 of 1952 and in supersession of the Indian Coal Mines Regulations 1926 the Central Government hereby makes the following Regulations the
·A LOS/NLOS classification method based on a deep learning algorithm using the Generative Adversarial Networks to generate diagnostic data for frame transmission under non line of sight NLOS condition and a Convolutional Neural Network is adopted to identify the NLOS communication A localization system is one of the basic requirements for coal mines
·Since SCCL has been running coal mines for more than 130 years environmental management in coal mining areas has been integrated into the development and planning of mines To continuously following objectives to improve the overall image of coal sector in the country • To advise mentor plan & monitor the mitigation measures taken by
·However taking Res Net 50 model with the highest classification accuracy as an example its classification accuracy in the mixed coal sample image dataset % is lower than that in the anthracite image data set % which is due to the relatively weak ability to classify coke coal and gas coal images in the mixed coal sample data set
·Coal is the cheapest and thus the preferred energy source in developing countries A huge volume of coal mine waste rock which is known as overburden OB is generated due to the surface mining
The monitoring principle and rule of classification forecasting rock burst have been studied aiming at the rock burst in coal system of classification forecasting rock burst in space and time was established by the forecasting technique of continuous monitoring and integration of the monitoring system and the application of methods with geological and mining
Semantic Scholar extracted view of "Coal Exploration and Mining Geology" by C Ward This volume of the Atlas of Coal Geology provides 393 images on various subject matters related to coal deposits and coal resource utilization background coal and the geologist layout Part 2 Coal as a substance physical description of coal
·coal mining system method of coal mining machinery plant equipment appliance or substances for use in coal mines; q discontinued working means such working in a mine as have been discontinued for any reason and are inaccessible or rendered inaccessible but are likely to be worked again;
·• India ranks sixth in total coal reserves with more than 300 billion metric tonnes Table 16 1 The country s primary coal fields are identified in Figure 16 2 • Coal accounts for percent of India s total primary energy consumption • Coal production increased by percent between 2009 million metric tons
DOI /S1003 6326 15 63976 0 Corpus ID 138677604; Classification of mine blasts and microseismic events using starting up features in seismograms article{Zhao2015ClassificationOM title={Classification of mine blasts and microseismic events using starting up features in seismograms} author={Guoyan Zhao and Ju Ma and Long Bin
·coal mining has been done in depth range less than 300 m as at greater depths pillars experience crush However in India in some cases the depth of mining by bord and pillar method has been around 600 m though mining at such depths is
·Skin failures of roof and rib in underground coal mines continue to be a significant safety hazard for mine workers Skin failures do not usually involve failure of the support systems but result from rock or coal spalling from between the support elements For instance in 1997 more than 800 miners were injured by roof and rib falls of which 98% were
·According to the unique geological mining conditions of the close seam in a coal mine in Shanxi we have obtained the factors related to the classification of the close seam surrounding rock in a coal mine in Shanxi including the general classification of the
·CNNs have been used to classify mining areas dumping sites wasteland buildings and vegetation but the classification accuracy for mining areas and dumping sites is low Balaniuk et al used a CNN to carry out automatic identification and scene classification for open pit mines and tailings dams In addition an improved Mask R CNN network
·Deep learning is an effective way to improve the classification accuracy of coal images for the machine vision based coal sorting However the related research on deep learning based mineral image classification has not systematically considered the models for multi coal and multi class sorting
·An intelligent analytical technique which is able to accurately identify maceral components is highly desired in the fields of mining and geology However currently available methods based on fixed size window neglect the shape information and thus do not work in identifying maceral composition from one entire photomicrograph To address these concerns
·Advanced imaging and computing technologies provide the foundation for high performance image classification and have spurred the rise of vision based ore sorting applications that automatically determine ore types based on apparent characteristics texture color shape and glossiness Han et al 2021 Lei et al 2021 Rabbani and Babaei
·Request PDF Support design in underground coal mines using modified rock mass classification system RMRdyn for enhanced safety an approach from stable and failed roof cases Bord and
·To discriminate between infrared photos of coal and gangue this study suggests a novel deep learning technique for binary classification that will have higher engineering prospects if the target picture database can be progressively increased Finding and identifying Engineering requires the capacity to distinguish between coal as well as gangue for example
empirical in nature the classification systems provide a viable means to quantify the nature of rock mass which is necessary for stability analyses In coal mines the Coal Mine Roof Rating CMRR is the most widely used classification system for several purposes including sup port selection chain pillar design assessing the stability of
