机理与数据知识驱动的湿法冶锌中性浸出过程监测方法

doi:10.11959/j.issn.2096-6652.202236

Abstract

Abstract:

Neutral leaching can be regarded as the key process of dissolving zinc-calcine in zinc hydro-metallurgy to obtain the zinc-electrolyte, and the variation of external environments and disturbances affect the operation states of the neutral leaching process.To this end, a mechanism and data knowledge-driven process monitoring method for neutral leaching in zinc hydro-metallurgical was proposed.This method firstly started from the physical-chemical reaction mechanism and process mechanism of the neutral leaching process, which can be used to excavate the correlation between the mechanical parameters and the monitoring variables to realize the knowledge-driven selection of key monitoring variables.Secondly, the trend change characteristics of the first-order and second-order key variables were combined to realize the data-driven process monitoring.Finally, this proposed method was applied to the monitoring of the practical neutral leaching process.The results show that this method can effectively realize the monitoring of the zinc hydro-metallurgy neutral leaching process, which can be used to improve the process stability of the neutral leaching process.

Key words: zinc hydro-metallurgy, neutral leaching process, process monitoring, data and knowledge fusion

CLC Number:

TP277

Hao REN, Bei SUN, Xiaojun LIANG, et al. Mechanism and data knowledge-driven process monitoring method for neutral leaching in zinc hydro-metallurgical[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(4): 477-490.

Figures/Tables 11

组号	测试样本（平稳:波动）	PCA方法		本文方法
组号	测试样本（平稳:波动）	T²	Q	本文方法
1	68:237	0.0%，78.9%	5.9%，81.0%	$1 . 5 %, 100 . 0 %$
2	74:196	0.0%，43.9%	0.0%，64.8%	$1 . 4 %, 100 . 0 %$
3	195:272	26.2%，84.2%	7.2%，76.8%	$0 . 5 %, 96 . 69 %$
4	75:290	100.0%，100.0%	12.0%，59.6%	$2 . 7 %, 86 . 05 %$
5	138:361	100.0%，88.4%	2.2%，6.4%	$4 . 3 %, 80 . 89 %$
6	236:273	2.8%，57.1%	0.8%，41.4%	$14 . 4 %, 78 . 39 %$
7	254:99	0.0%，53.5%	6.3%，88.9%	$0 . 8 %, 96 . 97 %$
8	97:376	100.0%，99.2%	2.1%,16.8%	$3 . 1 %, 89 . 10 %$
9	206:324	100.0%，100.0%	41.7%，4.0%	$1 . 5 %, 66 . 67 %$
10	193:277	100.0%，100.0%	75.7%，28.9%	$8 . 3 %, 83 . 71 %$
11	81:324	100.0%，23.1%	1.2%，0.0%	$6 . 1 %, 100 . 0 %$
12	71:321	100.0%，100.0%	36.6%，100.0%	$5 . 7 %, 76 . 53 %$
13	242:264	100.0%，100.0%	0.0%，39.0%	$2 . 5 %, 83 . 64 %$
14	264:213	100.0%，100.0%	22.0%，92.0%	$1 . 4 %, 84 . 11 %$

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变量	物理含义
v₁	向1#浸出槽加入第一个亚热酸的流量
v₂	向1#浸出槽加入第二个亚热酸的流量
v₃	向1#浸出槽加入混合液的流量
v₄	向1#浸出槽加入锰矿浆的流量
v₅	向1#浸出槽加入废酸的流量
v₆	向1#浸出槽加入锌焙砂的投料量
v₇	向2#浸出槽加入废酸的流量
v₈	向2#浸出槽加入锌焙砂的投料量
v₉	向3#浸出槽加入锌焙砂的投料量
v₁₀	向4#浸出槽加入锌焙砂的投料量
v₁₁	向5#浸出槽加入氧气的流量
v₁₂	向5#浸出槽加入废酸的流量
v₁₃	5#浸出槽锌液的温度
v₁₄	向5#浸出槽加入锌焙砂的投料量
v₁₅	向6#浸出槽加入氧气的流量
v₁₆	向6#浸出槽加入锌焙砂的投料量

变量	均值	标准差	正四分位	正众数	负众数	负四分位
v₁	112.01	3.12	0.73	0.43	-0.46	-0.74
v₂	156.30	4.32	0.54	0.31	-0.22	-0.41
v₃	135.25	4.14	0.61	0.38	-0.53	-0.81
v₄	41.23	1.04	1.56	0.88	-1.00	-1.61
v₅	109.73	2.07	0.98	0.60	-0.41	-0.72
v₆	5.87	2.24	0.85	0.53	-0.48	-0.83
v₇	36.72	1.00	1.76	0.99	-0.99	-1.59
v₈	10.01	1.02	1.66	1.01	-1.00	-1.54
v₉	9.93	1.04	1.57	0.87	-1.09	-1.67
v₁₀	-0.02	0.93	1.68	0.97	-1.00	-1.75
v₁₁	2.30	1.05	1.82	0.93	-1.05	-1.82
v₁₂	0.01	0.92	1.60	0.88	-0.85	-1.56
v₁₃	80.81	0.97	1.58	0.92	-0.98	-1.60
v₁₄	1.89	0.99	1.55	0.93	-1.08	-1.62
v₁₅	2.73	1.04	1.56	0.97	-1.02	-1.76
v₁₆	-0.09	0.99	1.47	0.94	-0.86	-1.55

Mechanism and data knowledge-driven process monitoring method for neutral leaching in zinc hydro-metallurgical

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