工程科学学报2016，Vol.38Issue(2)：167-174,8.DOI:10.13374/j.issn2095-9389.2016.02.002
类砂岩型矿石浸出液质量浓度混沌时序重构与浸矿周期预测
Chaotic time series reconstruction of the concentration of leaching solution and leaching period prediction of quasi-sandstone type ore
摘要
Abstract
To simulate the sandstone ore leaching process, some specimens with different grades were made with river sand, cement and salt as the raw materials. On the basis of the monitoring of leaching solution concentration in a water-solution mining exper-iment, the time evolution of leaching solution concentration and leaching rate was examined. Through phase space reconstruction from the time series of leaching solution concentration, the distance evolution of points of specimens with different grades in the phase space was revealed by the chaotic theory. A prediction model of the distance evolution of phase points was established by using the grey theory, and a reasonable leaching period was ascertained. The results show that the leaching solution concentration holds chaotic char-acteristics. After the phase space reconstruction, the delicate changes of leaching solution concentration are enlarged, and the internal rules are fully demonstrated. The ores of different grades have different nonlinear dynamic behaviors. Based on the phase space recon-struction, the leaching period has been predicted by means of the residual modification grey model, which provides a new research method and theory to solution mining.关键词
溶浸采矿/浸出/质量浓度/时间序列分配/相空间重构/混沌理论/预测方法Key words
solution mining/leaching/mass concentration/time series analysis/phase space reconstruction/chaos theory/prediction method分类
矿业与冶金引用本文复制引用
刘超,吴爱祥,尹升华,柯锦福,陈勋..类砂岩型矿石浸出液质量浓度混沌时序重构与浸矿周期预测[J].工程科学学报,2016,38(2):167-174,8.基金项目
国家自然科学基金资助项目(51374035) （51374035）
新世纪优秀人才支持计划资助项目(NCET-13-0669) （NCET-13-0669）
