Calculation and Management for Mining Loss and Dilution under 3D Visualization Technical Condition
ABSTRACT
The mining loss rate and dilution rate are the key indicators for the mining technology and management level of mining enterprises. Aiming at the practical problems such as the large workload but inaccurate data of the traditional loss and dilution calculation method, this thesis introduces the operating principle and process of calculating the loss rate and dilution rate at the mining fields by adopting geological models. As an example, authors establishes 3D models of orebody units in the exhausted area and mining fields in Yangshu Gold Mine in Liaoning Province, and conduct Boolean calculation among the models to obtain the calculation parameters of loss and dilution, and thereby calculate out the dilution rate and loss rate of the mining fields more quickly and accurately.
The mining loss rate and dilution rate are the key indicators for the mining technology and management level of mining enterprises. Aiming at the practical problems such as the large workload but inaccurate data of the traditional loss and dilution calculation method, this thesis introduces the operating principle and process of calculating the loss rate and dilution rate at the mining fields by adopting geological models. As an example, authors establishes 3D models of orebody units in the exhausted area and mining fields in Yangshu Gold Mine in Liaoning Province, and conduct Boolean calculation among the models to obtain the calculation parameters of loss and dilution, and thereby calculate out the dilution rate and loss rate of the mining fields more quickly and accurately.
Cite this paper
nullW. Wang, S. Huang, X. Wu and Q. Ma, "Calculation and Management for Mining Loss and Dilution under 3D Visualization Technical Condition," Journal of Software Engineering and Applications, Vol. 4 No. 5, 2011, pp. 329-334. doi: 10.4236/jsea.2011.45037.
nullW. Wang, S. Huang, X. Wu and Q. Ma, "Calculation and Management for Mining Loss and Dilution under 3D Visualization Technical Condition," Journal of Software Engineering and Applications, Vol. 4 No. 5, 2011, pp. 329-334. doi: 10.4236/jsea.2011.45037.
References
[1] M. Yunliang, G. Fuying and M. Zhanwu, “Strengthening the Technical Cooperation to Reduce Loss and Dilution Rates,” Express Information of Mining Industry, Vol. 17, 2000, pp. 34-39. [2] Y. W. Chen, “The Calculation and Experience of the Mining Total Loss and Impoverishing Index,” Gold Science and Technology, Vol. 6, 2002, pp. 21-30. [3] X. X. Wang and H. Yu, “Optimise Ore Dilute and Loss Rate, Enhance Mine Economic Effectiveness,” Mineral Resources and Geology, Vol. 3, 2000, pp. 51-58 [4] D. C. Wang, H. C. Li and L. C. Zhao, “Discussion on Decrease of Loss and Impoverishment and Increase of Mining Recovery Rate,” Conservation and Utilization of Mineral Resources, Vol. 4, 2003, pp. 96-103 [5] B. R. Zhang, S. F. Huang, et al., “Gold Mining Geology,” Geology Publishing House, London, 2010, pp. 254-259. [6] J. B. Chen, “Measures for Reducing Loss and Dilution in Underground Mining,” Industrial Minerals and Processing, Vol. 3, 2004, pp. 89-95.
[1] M. Yunliang, G. Fuying and M. Zhanwu, “Strengthening the Technical Cooperation to Reduce Loss and Dilution Rates,” Express Information of Mining Industry, Vol. 17, 2000, pp. 34-39. [2] Y. W. Chen, “The Calculation and Experience of the Mining Total Loss and Impoverishing Index,” Gold Science and Technology, Vol. 6, 2002, pp. 21-30. [3] X. X. Wang and H. Yu, “Optimise Ore Dilute and Loss Rate, Enhance Mine Economic Effectiveness,” Mineral Resources and Geology, Vol. 3, 2000, pp. 51-58 [4] D. C. Wang, H. C. Li and L. C. Zhao, “Discussion on Decrease of Loss and Impoverishment and Increase of Mining Recovery Rate,” Conservation and Utilization of Mineral Resources, Vol. 4, 2003, pp. 96-103 [5] B. R. Zhang, S. F. Huang, et al., “Gold Mining Geology,” Geology Publishing House, London, 2010, pp. 254-259. [6] J. B. Chen, “Measures for Reducing Loss and Dilution in Underground Mining,” Industrial Minerals and Processing, Vol. 3, 2004, pp. 89-95.