数据驱动选矿过程优化研究进展

工程（英文） ›› 2017, Vol. 3 ›› Issue (2) : 183-187.

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工程（英文） ›› 2017, Vol. 3 ›› Issue (2) : 183-187. DOI: 10.1016/J.ENG.2017.02.015
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数据驱动选矿过程优化研究进展

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Recent Progress on Data-Based Optimization for Mineral Processing Plants

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Abstract

In the globalized market environment, increasingly significant economic and environmental factors within complex industrial plants impose importance on the optimization of global production indices; such optimization includes improvements in production efficiency, product quality, and yield, along with reductions of energy and resource usage. This paper briefly overviews recent progress in data-driven hybrid intelligence optimization methods and technologies in improving the performance of global production indices in mineral processing. First, we provide the problem description. Next, we summarize recent progress in data-based optimization for mineral processing plants. This optimization consists of four layers: optimization of the target values for monthly global production indices, optimization of the target values for daily global production indices, optimization of the target values for operational indices, and automation systems for unit processes. We briefly overview recent progress in each of the different layers. Finally, we point out opportunities for future works in data-based optimization for mineral processing plants.

Keywords

Data-based optimization / Plant-wide global optimization / Mineral processing / Survey

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. . Engineering. 2017, 3(2): 183-187 https://doi.org/10.1016/J.ENG.2017.02.015

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (61525302, 61590922), and in part by the Projects of Liaoning Province (2014020021, LR2015021).

Compliance with ethics guidelines

Jinliang Ding, Cuie Yang, and Tianyou Chai declare that they have no conflict of interest or financial conflicts to disclose.

版权

2017 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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