##tihuan2##The following section covers mining practices internationally with a brief summary of the status of coal mining in China, India, and Australia. The last section …
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##tihuan2##Fault grouting is important in preventing groundwater inrush into coal mines from aquifers underlying the coal seams. However, evaluating the effect of grouting in the coal mine is difficult and expensive; hence, the region is sparsely explored. Therefore, we propose a more economical and efficient method for investigating grouting in the coal …
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##tihuan2##This study first introduces the key technologies of a visual detection system, including camera calibration, image preprocessing, feature extraction, visual matching, target …
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##tihuan2##The top-level architecture of 5G+ intelligent coal mine systems combines intelligent applications such as autonomous intelligent mining, human–machine collaborative rapid tunneling, unmanned auxiliary transportation, closed-loop safety control, lean collaborative operation, and intelligent ecology.
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##tihuan2##This study introduces the key technologies of a visual detection system, including camera calibration, image preprocessing, feature extraction, visual matching, target segmentation and recognition, visual measurement, and 3D reconstruction, and forecasts key technologies that need to be developed in the future for coal mine intelligent equipment …
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##tihuan2##The intelligent construction of coal mining enterprises is the fundamental strategy to prevent and curb major coal mine accidents, and the core technical support to realize the high-quality ...
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##tihuan2##Abstract. Read online. The realization of intelligent mining is the only method for realizing high-quality development in the coal industry. As the forefront working link in mine production, achieving automatic roadway tunneling control is key to improving production efficiency, enhancing intelligence, and reducing accident rates at fully mechanized …
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##tihuan2##According to the development requirements of green mining of coal resources, it is imperative to improve the extraction rate of coal and the application of safe and efficient mining technology. Pre-splitting and roof cutting technology is widely used in reducing residual coal pillars and safe pressure relief mining, which has become the …
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##tihuan2##Coal mining, extraction of coal deposits from the surface of Earth from underground. Coal has been used since the Bronze Age, 3,000 to 4,000 years ago, and was the basic energy source that fueled the Industrial …
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##tihuan2##From the 1970s onwards, there was a drastic decrease in TBM applications in mining, especially in coal mines. Since 1985, only two TBMs have been used in coal mines. ... Issues related to selection, design optimization, and performance prediction of tunnel boring machines (TBM) for mining applications (189 ed.), SME Annual Meeting …
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##tihuan2##Coal mine enterprises have many accident attributes, and a single data collection method cannot cover the 73 attributes mentioned in the paper. The accident attributes in Fig. 4, Fig. 5 need to adopt different methods to collect assessment data. ... This study reviews the application of machine learning (ML) to predict coal and gas …
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##tihuan2##Mining leverages the broad portfolio to bring together the right people, products, technologies and services to meet the needs of the mining industry. No matter the size, type or complexity of your operation, our goal is to help you optimize your equipment, people and overall operation. Whether you are looking for surface mining or …
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##tihuan2##Surface miner is an eco-friendly excavation machine which is gradually replacing the traditional drilling and blasting method of excavation. Hence, accurate determination of the production rate of surface miner is very imperative. This study therefore proposes machine learning based models for the prediction of production rate (PR) of …
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##tihuan2##The detection and control of tunneling equipment groups based on machine vision has become a research hotspot in the intelligence process of coal mines. This study first …
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##tihuan2##Tunnel Boring Machines (TBMs) are a cutting-edge excavating equipment, but are barely applied in underground coal mines. For TBM excavation projects involving the Zhangji coal mine, the surrounding rock properties, stress field, cross section geometry, as well as the excavation-induced stress path of TBM-excavated coal mine roadways …
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##tihuan2##The Application of Support Vector Machine in the Potentiality Evaluation for Revegetation of Abandoned Lands from Coal Mining Activities. Conference paper; pp 598–603 ... Shina, H.J., Eom, D.-H., Kim, S.-S.: One-class support vector machines—an application in machine fault detection and classification. Computers & Industrial Engineering 48 ...
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##tihuan2##Machine learning applications in mineral processing from 2004 to 2018 are reviewed. ... The prediction of dangerous seismic events in coal mining has been the subject of a number of publications and a data mining challenge (Janusz et al., 2017, Janusz et al., 2016). The results showed that machine learning techniques to predict …
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##tihuan2##The role that coal mine environment factors under the shaft plays in the person-machine-environment system of coal mine production. Journal of Liaoning Technical University, (Natural Science), (2000) 130-132. [4] Y.Z. Yang, L.Y. Wu, Q. Zhang. Application of man machine environment system engineering in underground …
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##tihuan2##longwall mining Mining. a mining method in which very long rectangular blocks of coal are defined during the development stage of the mine and then extracted in a single continuous operation by an automated cutting head moving parallel to the coal face.When the coal is cut, the working area is protected by a movable, powered roof support …
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##tihuan2##The model identified 21 application scenarios related to coal mining, tunneling, primary transportation, auxiliary transportation, lifting, safety monitoring, rock burst prevention, coal ...
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##tihuan2##This paper reviews some recent studies on the application of AI in ultra-deep coal mine roadway engineering, including five subdivided directions: rock mechanical strength, surrounding rock stability, rock-burst phenomena, roof fall risks and micro …
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##tihuan2##application field is divided into three major areas: non-coal pillar mining (gob-side entry driving with narrow coal pillar, gob-side entry retaining with the filling body, completely gob-side ...
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##tihuan2##The primary mechanical component of the equipment is a belt conveyor measuring 4.4 m in length, 1 m in width, and 2.3 m in height. The feeding port is 0.7 m long, the paving queuing module is 1.3 ...
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##tihuan2##DOI: 10.1016/J.SSCI.2021.105420 Corpus ID: 237687426; Applications of artificial intelligence for coal mine gas risk assessment @article{You2021ApplicationsOA, title={Applications of artificial intelligence for coal mine gas risk assessment}, author={Mengjie You and Shuang Li and Dingwei Li and Shichun Xu}, journal={Safety …
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##tihuan2##Systematic review of machine learning applications in mining: exploration, exploitation, and reclamation. Minerals, 11 (2) (2021), p. 148. ... Coal mine safety evaluation based on machine learning: a BP neural network model. Comput Intell Neurosci, 2022 (2022) Google Scholar. 36.
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##tihuan2##This paper presents some recent applications of sensing, guidance and telerobotic technology in the coal mining industry. Of special interest is the …
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##tihuan2##In-situ thermal conversion of deep coal to oil and gas will become an environmentally friendly technology for oil-rich coal mining. Accurate prediction of oil-rich coal tar yield in various ...
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##tihuan2##The model with short training and testing time will have great advantages in the practical application of coal mine risk assessment and prediction, so that the timeliness of the prediction results can be guaranteed. ... Applications of machine learning methods for engineering risk assessment – a review. Saf. Sci., 122 (2019) Google …
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##tihuan2##The application of forecasting model based on PCA–ELM in coal mine water burst prediction (China University of Mining and Technology, 2014). Google Scholar
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