Download scientific diagram | a Cutting action of continuous miner machine; b gradual wear of conical picks; c 14 CM series continuous miner machine (courtesy: joyglobal) from publication ...
A fuzzy method for selecting underground coal mining method considering mechanization criteria. Kemal Özfırat. 2012, Journal of Mining Science.
Coal and gangue classification is a key problem in automating the task of gangue picking during the preparation of coal. Four coal properties, namely raw coal with a dry clean surface, a wet clean surface, a dry surface covered by slime, and a wet surface covered by slime, are frequently encountered in real situations.
One of the primary factors affecting safe and effective mining in fully mechanized mining faces with large mining heights is coal wall sloughing. This paper establishes the mechanical model of the coal wall and uses the deflection theory for the mechanics of materials to find the maximum point of the deflection of the coal wall, which is the most easily deformed and damaged during the mining ...
Abstract. Deep learning is an effective way to improve the classification accuracy of coal images for the machine visionbased coal sorting. However, the related research on deep learningbased ...
1. Introduction. In coal production, the raw coal mined directly from coal mines contains a lot of gangue, which contains a lot of heavy metals, and affects the calorific value of coal, causing serious pollution to the environment [].Therefore, it is essential to separate coal and gangue to make them play their respective roles [2,3].As an important part of the coal industry, coal gangue ...
In longwall mining, a machine called a shearer moves back and forth along the coal seam, cutting the coal and dropping it onto a conveyor belt. The roof is supported by hydraulic supports as the machine advances. After the coal is extracted, it may be processed to remove impurities and prepared for use.
Coal cutting machines are used for providing an undercut, or overcut or shear cut in a. coal seam. A coal cutting machine were used to make a groove (also called cut) 1m to 2,5 m in. depth and 125 mm to 175 mm in height at a coal face. The cut was made across the. whole width of a gallery in the case of bord and pillar headways and across the ...
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Only a slope stability coefficient of can guarantee to maximize the recovered retained coal resources while maintaining safety. Substituting FS = into Eq. ( 12) yields m as the ...
Classification of coal and gangue under multiple surface conditions via machine vision and reliefSVM. ... of coarse coal. Aldrich used machine vision systems to measure particle size distributions of coal on a conveyor belt [9]. Perez et al. presented a new method to improve rock classification via digital image analysis, mutual information ...
Introduction History of coal mining Procedure for exploration of coal Classification of coal mining methods Latest techniques of coal mining Factors ... Virginia. Coal cutting machine were invented in the 1880s. Before the invention, coal was mined from underground with a pick and shovel. In 1900 about 95% of the world's commercial energy was ...
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Talcher coalfield is the largest depository of powergrade coal in India which lies in the southeastern region of the Mahanadi Valley belt of the Gondwana Basin between longitudes 84°21′85°25′E and latitudes 20°50′21°15′ N (Singh, 2016).The coalfield has an areal extent of ~1860 km 2 with a potential coalseam area of ~1000 km outline of the coalfield is close to the north ...
The classification of rock and coal on ribs has been applied for shearer horizon control at longwall mining face. It provides the information for the shearer to adjust the cutting drums. An automated shearer will cut the coal and stay inseam without the need for human intervention . Besides knowing the shearer's location, direction, and ...
A. K. Ghose Rock Mechanics and Rock Engineering 44, 601611 ( 2011) Cite this article 954 Accesses 8 Citations Metrics Abstract
In order to improve the utilization of coal resources, the shearer drum is controlled to move close to the interface of the coal seam and rock as much as possible [].Since the 1960s, cutting pattern recognition, defined as whether the shearer drum is cutting coal bed, rock bed, or the coal bed mixed with gangue, has been widely researched in many coal producing countries.
Trademark Class 7 pertains to machines and machine tools; motors and engines (except for land vehicles); machine coupling and transmission components (except for land vehicles); agricultural implements other than handoperated; incubators for eggs; automatic vending machines. The following goods are also classified under Class 7: Parts of ...
Efficient and accurate classification of the microseismic data obtained in coal mine production is of great significance for the guidance of coal mine production safety, disaster prevention and early warning. In the early stage, the classification of microseismic events relies on human experiences, which is not only inefficient but also often causes some misclassifications. In recent years ...
Introduction to Mining MNC:200 (Underground Coal Mining) Classification of UG Coal Mining Methods: 1. ... Coal Cutting Machine : 8. Universal Drilling Machine. SIDE DUMP LOADER Capacity Production 120 Tonnes/day For seams of 1 in 5 gradient and flatter Thickness of m to m 10.
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 and gangues' apparent features can be unreliable ...
To accurately classify the CBL level, the supportvectormachine (SVM) method was introduced in this paper, and the dynamic failure time ( DT ), elastic energy index ( WET ), impact energy index ( KE) and uniaxial compressive strength ( RC) were selected as the classification indexes.
1890s the first coal cutting machine was introduced at Greta whereas electricity was introduced in 1893 (Elford and Mckeowan, 1947). According to Lama, uptill 1925, 20% of the coal was being mined with machines and in 1935 loading of the coal through machines was also introduced. By then, coal excavation methods had become reasonably advanced and
Addressing these challenges, this work introduces an algorithm based on the reflectance spectrum of coal and machine learning. This method approach facilitates the rapid and accurate classification of coal types through the analysis of coal spectral data. First, the reflection spectra of three types of coal, namely, bituminous coal, anthracite ...
Surface miners can be classified in three categories This contribution seeks to present a rational basis for based on the principle of rock cutting, namely, (1) cutting evaluating the applicability of surface miners using a drum positioned in front of the machine, (2) cutting drum rockmass classification system. positioned below the machine and ...
Coal types and classification. Coal exists in various forms, ranging from lignite and brown coals (soft coals) to bituminous coals and anthracite (hard coals). ... a technical advance on it was the continuous miner, which is a machine with a rotating cutter on a boom. In the conventional and continuous miner methods of mining, the roof is ...
The reason why machine learning can handle these variations and classify them as one group is because of their generalisation capability (Kawaguchi et al., 2017). Machine learning aims to abstract the training samples in a statistical manner to incorporate the dynamic changes of these statistical features.
For the traditional machine learning methods rely on manual experience and deep learning classification model depth and complex structure, resulting in poor gangue classification performance, this paper proposes a coal gangue recognition method (CNNSVM) based on the combination of convolutional neural network (CNN) and support vector machine (SVM). Firstly, we use a generative adversarial ...
The first working face in the southwest wing of the first panel area of the Jinjitan Coal Mine is 122up108. The coal seam's thickness ranges from to m, with an average of m. The coal seam's burial depth ranges from 200 to 305 m, and its average mining depth is 246 m.
Thi s type of mining uses some of the largest machines on earth, including bucketwheel exc avator s which can move as much as 12,000 cubic meters of earth per hour .
Semiautomatic cutting machine. Fully automatic cutting machine. 1. Manual cutting. Hand scissors are used for cutting fabric plies manually. Hand scissors are not machines but very useful cutting equipment. Factories may have semiautomatic and fully automatic machines for fabric cutting, but can't avoid use of hand scissors in cutting section.
The ratio between combustible organic matter and inorganic impurities of coal is also one of the variables in coal classification. Coal gangue is a significant residue of coal mining ... rotary coal breaker—a machine that combines size reduction, screening, and separation—has been developed and specifically designed for selective coal ...
Introduction. Coalrock interface detection (CID) is one of the critical technique associated with unmanned mining. With the aid of CID system, the shearer is capable of automatically adjusting the height of the cutting drum, which helps to increase the extraction rate of coal resources, decrease the rock content, reduce wearing of the cutting teeth, and avoid gas explosion [1].
Coal mines operated without electricity. Electricity began to be adopted in mining and manufacturing in the late 1880s and the 1890s. (Electricity was first introduced into Ohio's bituminous coal mines in 1889.) The introduction of electricity in coal mines greatly facilitated the introduction of laborsaving machinery. 1891.
Eshaq et al. [2] extracted appropriate texture features from infrared images to develop an accurate classification system using a support vector machine (SVM). Li et al. [3] proposed an LSSVM based on grayscale and texture as a machine learning model for coal classification. The results showed that the accuracy of gangue and coal ...
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