Abstract
The fundamental task of mining engineers is to produce more coal at a given level of labour input and material costs, for optimum quality and maximum efficiency. To achieve these goals, it is necessary to automate and mechanize mining operations. Mechanization is an objective that can result in significant cost reduction and higher levels of profitability for underground mines. To analyze the potential of mechanization, some important factors such as seam inclination and thickness, geological disturbances, seam floor conditions and roof conditions should be considered. In this study we have used fuzzy logic, membership functions and created fuzzy rule-based methods and considered the ultimate objective: mechanization of mining. As a case study, the mechanization of the Tazare coal seams in Shahroud area of Iran was investigated. The results show a low potential for mechanization in most of the Tazare coal seams.
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Hosseini, S.A.A., Ataei, M., Hosseini, S.M. et al. Application of fuzzy logic for determining of coal mine mechanization. J Coal Sci Eng China 18, 225–231 (2012). https://doi.org/10.1007/s12404-012-0301-y
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DOI: https://doi.org/10.1007/s12404-012-0301-y