首页|基于水流量目标的圆盘造球控制系统研究

基于水流量目标的圆盘造球控制系统研究

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针对球团矿生产过程中,球团粒度难以精确把控、生产方式较为落后等特点,提出了一种基于水流量目标的圆盘造球自动控制系统.首先,依托图像识别算法从实际生产过程中的球团图像里提取出球团的粒径大小、分布和个数等基本信息.然后,系统对接收到的球团信息进行分析计算,得到当前球团的生产状态与粒径变化趋势.最后,系统以球团粒径变化趋势和生产状态为参数确立水流量目标设定值,并且根据球团生产状态适当修改阀门开度调整周期以适应生产.系统实际运用于国内某钢铁厂圆盘造球机的控制,实践结果表明,在平均粒度与目标粒度的差值方面,自动控制模式相较于传统人工控制模式减少了32.54%的误差;在不同造球工况下,提出的控制系统在实际生产过程中水流量波动稳定,对比人工控制模式,球团粒度均方根误差减少了6.59%,具有良好的稳定性.这对提升球团生产效率及合格率,降低人工劳动强度有积极作用.
Research on control system of disk pelletizing based on flow target control method
A disk pelletizing automatic control system based on flow rate target was proposed to ad-dress the difficulties in accurately controlling pellet size and outdated production methods in the pro-duction process of pellet ore.Firstly,relying on image recognition algorithms,basic information such as particle size,distribution,and number of pellets are extracted from actual production process pellet images.Secondly,the system analyzes and calculates the received pellet information to obtain the cur-rent production status and particle size change trend of the pellets.Finally,the system establishes a flow target setting value based on the trend of pellet particle size change and production status,and adjusts the valve opening adjustment cycle appropriately according to the pellet production status to adapt to production.The system was actually applied to the control of a disk pelletizer in a domestic steel plant.The practical results show that in terms of the difference between the average particle size and the target particle size,the automatic control mode reduces the error by 32.54%compared to traditional manual control mode.Moreover,under different pelletizing conditions,the proposed control system exhibits stable fluctuations in flow during actual production.Compared to manual control mode,the root mean square error of pellet size is reduced by 6.59%,which has good stability.It has a positive effect on improving the production efficiency and qualification rate of pellets,and reducing manual labor intensity.

flow target control methoddisk pelletizerparticle size detectionimage recognitionPLCindustrial control

张学锋、张海威、祝忠阳、余正伟、龙红明

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冶金工程与资源综合利用安徽省重点实验室(安徽工业大学),安徽马鞍山 243002

安徽工业大学冶金工程学院,安徽马鞍山 243032

流量目标控制法 圆盘造球机 粒度检测 图像识别 PLC 工业控制

安徽省教育厅重点实验室项目安徽省重点实验室开放基金

TZJQR007-2023SKF24-04

2024

冶金自动化
冶金自动化研究设计院

冶金自动化

影响因子:0.685
ISSN:1000-7059
年,卷(期):2024.48(2)
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