磨机负荷检测及建模方法研究进展

王廷; 赵建军; 陶乐; 田蕊; 邹文杰

doi:10.3969/j.issn.1000-6532.2023.03.018

磨机负荷检测及建模方法研究进展

1.
北京科技大学土木与资源工程学院，北京　100083

2.
矿冶过程自动控制技术国家重点实验室，北京　100089

基金项目: 矿冶过程自动控制技术国家重点实验室开放基金（BGRIMM-KZSKL-2019-02）；中央高校基本科研业务费（FRF-IP-20-03）

详细信息

作者简介: 王廷（1995-），男，硕士研究生，研究方向为矿物加工工程

通讯作者: 邹文杰（1986-），女，副教授，研究方向为矿物加工工程。

中图分类号: TD453

收稿日期: 2020-07-25

刊出日期: 2023-06-25

Research Progress of Mill Load Detection and Modeling Methods

1.
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China

2.
State Key Laboratory of Process Automation in Mining & Metallurgy, Beijing, China

More Information

Corresponding author: Zou Wenjie, wjzou@ustb.edu.cn

Received Date: 25 July 2020

Publish Date: 25 June 2023

摘要

摘要:
这是一篇矿业工程领域的论文。选矿厂节能降耗需求强烈，球磨机负荷检测是实现磨机控制、优化磨矿流程的关键技术。本文归纳了近年来磨机负荷的检测方法：压差法、磨音法、振动法、功率法、超声波法、基于多源信号融合的间接检测方法；总结并分析了磨机负荷的建模方法。未来一段时间内，多源信息融合的间接法将仍是检测磨机负荷的主要方法，改进神经网络为基础的建模方法、新型在线检测方法以及建立高效精准的负荷检测模型是磨机负荷检测的主要发展方向。
- 磨机负荷 /
- 软测量 /
- 建模 /
- 神经网络 /
- 在线检测 /
- 矿业工程
Abstract:
This is a paper in the field of mining engineering. With the increasing demands for energy conservation and consumption reduction in mineral processing plants, ball mill load measurement is the key technology to realize mill control and optimize the grinding process. This paper summarizes the measurement methods of mill load in the recent years: differential pressure method, grinding sound method, vibration method, power method, ultrasonic method, indirect detection method based on multi-source signal fusion. Moreover, it summarizes and analyzes the mill load modeling methods that have emerged inrecent years. In the future, the indirect methods of multi-source information fusion will still be the main methods to detect mill load, modeling methods based on improvement of neural network and new online detection methods, as well as the establishment of efficient and accurate load detection models will be the main development direction of mill load detection.
- Mill load /
- Soft measurement /
- Modeling /
- Neural network /
- Online detection /
- Mining engineering

HTML全文

表 1 各单源检测手段原理及优缺点

Table 1. Principles, advantages and disadvantages of the single-source detection methods

检测方法	检测原理	优点	缺点
振动法	球磨机筒体和轴承等部位安装振动传感器，振动能量与磨机负荷的关系	较灵敏，能显示磨机内物料的变化	易受钢球等磨矿介质、衬板磨损的影响
磨音法	磨机内介质和筒壁相互碰撞产生的机械噪声特性与磨机负荷变化相关	形成系列产品，能预测大致的料球比	易受相邻磨机和环境噪音的影响，难于判断介质充填率和矿浆浓度
压差法	检测磨机入料口和出料口的压强差，以经验公式表征磨机负荷	适用于干式磨机，无需进行复杂的磨机负荷参数检测	极度依靠工人经验，测量精度较低
功率法	以介质与矿浆运动所消耗的功率预测磨机负荷	受周边环境影响较小，检测结果精确	灵敏度不高，受电网电压波动影响大
超声波法	超声波在介质中的传播特性检测磨机料位，预测负荷	适用于干式磨机，穿透能力强，灵敏度高	信号传播存在衰减和畸变

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