煤炭工程 ›› 2023, Vol. 55 ›› Issue (1): 18-22.doi: 10.11799/ce202301004

• 设计技术 • 上一篇    下一篇

基于BP神经网络的选煤厂压滤控制系统智能化改造

杨鹏民   

  1. 中煤陕西榆林能源化工有限公司
  • 收稿日期:2022-07-01 修回日期:2022-11-08 出版日期:2023-01-20 发布日期:2023-04-11
  • 通讯作者: 杨鹏民 E-mail:yangpengmin@chinacoal.com

Intelligent Transformation of Filter Press System in Dahaize Coal Preparation Plant

  • Received:2022-07-01 Revised:2022-11-08 Online:2023-01-20 Published:2023-04-11

摘要: 针对传统选煤厂煤泥压滤过程中受人为操作影响较大的问题,开展了压滤系统控制模型的构建及压滤过程流量阈值的优化。基于自适应BP神经网络模型搭建了数据处理平台,形成了从料浆物性到工作参数的神经网络结构模型,探究了模型对滤饼含水量预测的准确性。利用微小流量检测技术实现了压滤机压滤结束状态自判断,结合压滤效果及压滤效率确定了阈值流量,并进一步分析了压滤过程中滤水流量的变化规律。结果表明:逻辑判断优化后,实际滤饼水分与目标水分的绝对误差为±1.5%,当阈值流量为0.05m3/h时,压滤后煤泥平均含水量为24.0%。改造后,滤饼含水量的极差由4.5%减小至1.3%,运行作业更加稳定。此外,压滤时间均在15min以下,提高了压滤过程的工作效率,实现了选煤厂的降本增效。

关键词: 煤泥压滤, 微小流量检测, 选煤厂智能化

Abstract: With the implementation of the 14th Five-Year Plan and the Made in China 2025 policy, China's continuous industrialization has put forward new requirements for the energy industry. As an important pillar of the energy industry, the intelligent construction of coal enterprises has become the key content and direction of the industry transformation and upgrading. Combining artificial intelligence, internet of things, big data, cloud computing and other intelligent technologies with traditional coal preparation process, realizing independent analysis, decision-making, learning, dynamic prediction and collaborative control of coal preparation plant has become the main goal of intelligent construction of coal preparation plant. In the process of intelligent construction, dahaize coal preparation plant has carried on intelligent transformation to its pressure filtration system. Through the research of intelligent filter press platform and integration of single filter press automation system, the self-judgment of the end state and the intelligent operation of the filter press are realized.

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