Integrated Optimization and Management of Mining Engineering—Coordinative Operation and Optimal Management of Five processes in Mining Engineering

An-lin Shao, Rui-yu Yin

PDF(1192 KB)
PDF(1192 KB)
Front. Eng ›› 2014, Vol. 1 ›› Issue (2) : 153-159. DOI: 10.15302/J-FEM-2014023
ENGINEERING MANAGEMENT TREATISES
ENGINEERING MANAGEMENT TREATISES

Integrated Optimization and Management of Mining Engineering—Coordinative Operation and Optimal Management of Five processes in Mining Engineering

Author information +
History +

Abstract

In the view of engineering philosophy, the mining engineering is a dynamic operating process of ferrous material flow, in which the ferrous material flow is processed orderly through a series of continual coordinated procedures. It is also a process of discarding the dross, selecting the essential, and extracting the original metal. The object of management is to fulfill the multi-objective optimization. The proportion of lean ores in iron ore resources is 82% in the world and even 97% in China but their utilization is very low. Aiming at the bottleneck and weakness of China’s resource development, this paper analyzes and plans the mining engineering system as a whole based on the ideas and methods of system theory and engineering philosophical thinking. And the paper proposes the “grade decision-based multi-system integration” engineering management mode, which considers the relationship between engineering and environment and complies with the natural law. In the mode, the mining engineering, including geologic mining, ore blending, concentration and pelleting, can be viewed as a whole and the geological grade, mined ore grade, feed grade, concentrate grade and feed grade of blast furnace can be considered comprehensively. The mode reflected the overall structural optimization idea, realized the analysis, coordination and optimization among the multiple functions and processes, and thus drove the overall efficient and profit optimization throughout the processing flow. The establishment and the application of the “grade decision-based multi-system integration” mode have solved the lean iron ores exploitation problem and supported the “self-sufficiency” resource strategy.

Keywords

engineering philosophy / multi-system integration / engineering management / objective optimization / lean ores exploitation / mode

Cite this article

Download citation ▾
An-lin Shao, Rui-yu Yin. Integrated Optimization and Management of Mining Engineering—Coordinative Operation and Optimal Management of Five processes in Mining Engineering. Front. Eng, 2014, 1(2): 153‒159 https://doi.org/10.15302/J-FEM-2014023

References

[1]
Haken, H. (1984). Synergetics: Introduction and Advanced Topics. Berlin: Springer-Verlag
[2]
Hermann, H., & Paul, L. (2012). Synergetic Agents. New York: John Wiley & Sons Inc
[3]
Liu, R. (2012). Operations research and application. Xuzhou: China Mining University Press
[4]
Li, X. (1997). Thinking about the theory of marginal utility. Finance and Trade Research, 4, 13-16
[5]
Ataei, M., & Osanloo, M. (2003). Methods for calculation of optimal cutoff grade in complex ore deposits. Journal of Mining Science, 39, 499-507
CrossRef Google scholar
[6]
Robert, D., & Takayoshi, S. (2003). The Choice of Cutoff Grade in Mining. Resources Policy, 29, 75-81
CrossRef Google scholar
[7]
Shao, A. (2012). Practice and reflection about development strategy of Ansteel mining iron ore resources. Beijing: Metallurgical Industry Press
[8]
Shu, H., & Chen, X. (1995). Optimization technology of deposits grade index. Paper presented at the Management Science and System Development—Proceedings of National Youth Management Science and System Science, 3, 538-541.
[9]
Takayoshi, S., & Takashi, N. (2000). The Grade Selection Rule of the Metal Mines, an Empirical Study on Copper Mines. Resource Policy, 26, 31-38
CrossRef Google scholar
[10]
Wang, Y. (1998). System Engineering Theory: Methods and Applications (2nd edition). Beijing: High Education Press
[11]
Yin, R. (2007). Engineering philosophy. Beijing: High Education Press
[12]
Yin, R. (2009) Metallurgical Process Engineering (The 2nd Edition). Beijing: Metallurgical Industry Press
[13]
Zhang, J. (2007). Endowments characteristics of iron ore resources and Sustainable Development Research. Chinese Mining Industry, 16, 36-39

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(1192 KB)

Accesses

Citations

Detail

Sections
Recommended

/