基于PSO-BP模型的化纤污泥中锌浸出工艺智能优化研究
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1.河南工业职业技术大学,河南南阳 473000 ;2.河南中原黄金冶炼厂有限责任公司,河南三门峡 472000

作者简介:

王记昌(1983-),男,河南周口人,硕士研究生,讲师,主要从事工业过程的智能建模、优化与控制研究。

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中图分类号:

TF813;TP183

基金项目:

2022年国家重点研发计划资金资助(2022YFC2904205)


Intelligent optimization of zinc leaching from chemical fiber sludge via PSO-BP neural network
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Affiliation:

1.Henan Vocational University of Industrial Technology, Nanyang 473000 , China ;2.Henan Zhongyuan Gold Smelter Co. , Ltd. , Sanmenxia 472000 , China

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    摘要:

    某化纤污泥中锌含量达5.98%,具备良好的综合回收价值。本文采用硫酸浸出法回收该污泥中的锌,系统考察了浸出硫酸浓度、时间、温度、液固比等因素对锌浸出率的影响;并基于单因素试验数据,构建PSO-BP模型对工艺参数进行了全局寻优,最后对寻优结果进行了验证,得到以下主要结论。单因素试验确定的最优工艺参数为浸出硫酸浓度2 mol·L-1、搅拌浸出时间60 min、温度30℃、液固比4:1 mL·g-1,锌平均浸出率97.91%;PSO-BP模型优化后的最佳工艺参数为浸出硫酸浓度2.16 mol·L-1、搅拌浸出时间64.1 min、温度33.58℃、液固比4.18:1 mL·g-1,该条件下,模型预测锌浸出率为98.96%,验证试验锌平均浸出率为98.91%,相对误差为0.05%,充分验证了优化模型的准确性与所获工艺参数的可靠性。模型优化后确定的最佳工艺锌浸出率比单因素试验确定的最佳浸出率高出1个百分点,产生了明确的经济价值和环保效益,不但为化纤污泥的锌资源回收提供了工艺参数和决策支持,而且为固废资源化工艺向智能化、精准化发展提供了新的思路。

    Abstract:

    The zinc content in a certain type of chemical fiber sludge reaches 5.98%, indicating a high potential for comprehensive recovery. In this paper, a sulfuric acid leaching method was employed to recover zinc from the sludge. The effects of key factors, including sulfuric acid concentration, leaching time, temperature, and liquid-to-solid ratio, on the zinc leaching efficiency were systematically investigated. Based on the single-factor experimental data, a PSO-BP model was constructed to globally optimize the process parameters, and the optimization results were subsequently validated. The main conclusions are as follows. The optimal process parameters determined by single-factor experiments were: sulfuric acid concentration of 2 mol·L-1, leaching time of 60 min, temperature of 30°C, and liquid-to-solid ratio of 4:1 mL·g-1, under which the average zinc leaching efficiency was 97.91%. The optimal parameters obtained from the PSO-BP model were: sulfuric acid concentration of 2.16 mol·L-1, leaching time of 64.1 min, temperature of 33.58°C, and liquid-to-solid ratio of 4.18:1 mL·g-1. Under these conditions, the model-predicted zinc leaching efficiency was 98.96%, and the average experimental zinc leaching efficiency was 98.91%, with a relative error of 0.05%, fully validating the accuracy of the optimization model and the reliability of the obtained process parameters. Compared with the single-factor results, the optimal zinc leaching efficiency after model optimization was improved by one percentage point, yielding significant economic and environmental benefits. This study not only provides process parameters and decision support for the recovery of zinc from chemical fiber sludge but also offers a new approach for the intelligent and precise development of solid waste resource utilization processes.

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王记昌,田静,朱清智. 基于PSO-BP模型的化纤污泥中锌浸出工艺智能优化研究[J]. 中国有色冶金,2026,55(3): 144-151.

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  • 收稿日期:2026-01-28
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  • 在线发布日期: 2026-07-08
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