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| Soft sensing method of sand-returning ratio in grinding classification process and its application |
| Received:January 25, 2021 Revised:February 08, 2021 |
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| DOI：doi：10.3969/j.issn.1671-9492.2021.04.009 |
| KeyWord:Grinding-classfication proces, Soft sensing of sand-returning ratio, Modeling of cyclone |
| Author | Institution |
| ZOU Guo-Bin |
BGRIMM Technology Group |
| YANG Tian-Hao |
BGRIMM Technology Group |
| ZHOU Jun-Wu |
BGRIMM Technology Group |
| SONG Tao |
BGRIMM Technology Group |
| ZHANG Han-Kuo |
San-Shan-Dao Gold Mine |
| DUAN Yin-Lian |
San-Shan-Dao Gold Mine |
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| Abstract: |
| The return sand ratio is an important index to measure the grinding efficiency and hydrocyclone classification efficiency of grinding classification process. It is difficult to obtain the real-time value of sand return ratio because it is difficult to directly or indirectly measure the dry ore quantity of sand settling and overflow. In the past, the measurement of sand return ratio is usually based on off-line process investigation method, which has a long measurement cycle and has no guiding significance for control. Based on the model of nageswararo hydrocyclone, a soft sensing method for on-line operation of sand return ratio is developed, which provides a real-time method for control system to obtain sand return ratio. Industrial application results show that the method is real-time and effective. |
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