Optimization model of unascertained measurement for underground mining method selection and its application |
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Authors: | Ai-hua Liu Lei Dong and Long-jun Dong |
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Affiliation: | School of Resources and Safety Engineering, Central South University, Changsha 410083, China |
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Abstract: | An optimization model of underground mining method selection was established on the basis of the unascertained measurement
theory. Considering the geologic conditions, technology, economy and safety production, ten main factors influencing the selection
of mining method were taken into account, and the comprehensive evaluation index system of mining method selection was constructed.
The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively
and quantitatively. New measurement standards were constructed. Then, the unascertained measurement function of each evaluation
index was established. The index weights of the factors were calculated by entropy theory, and credible degree recognition
criteria were established according to the unascertained measurement theory. The results of mining method evaluation were
obtained using the credible degree criteria, thus the best underground mining method was determined. Furthermore, this model
was employed for the comprehensive evaluation and selection of the chosen standard mining methods in Xinli Gold Mine in Sanshandao
of China. The results show that the relative superiority degrees of mining methods can be calculated using the unascertained
measurement optimization model, so the optimal method can be easily determined. Meanwhile, the proposed method can take into
account large amount of uncertain information in mining method selection, which can provide an effective way for selecting
the optimal underground mining method. |
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Keywords: | mining engineering underground mining method optimization model unascertained measurement theory information entropy |
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