基于磨音检测的球磨机负荷工况研究及控制系统开发

发布时间：2018-12-06 12:16

【摘要】：球磨机是大型选矿厂的重要生产设备,作为一种典型的高能耗设备,其研磨效率的高低与企业的经济效益息息相关。目前,许多企业只能通过经验估算来给球磨机补加球及加减料,极易造成球磨机“空磨”和“饱磨”现象,严重损害企业的经济效益的同时缩短了球磨机的使用寿命。为解决球磨机负荷难于直接检测以及间接检测方法实时性差的难题,本文通过反复研究磨音与球磨机负荷工况之间的关系,提出基于磨音检测球磨机负荷工况的方法,并利用模糊控制算法实现对球磨机负荷的控制。主要工作内容如下:1.本文提出一种利用音频能量谱密度识别球磨机负荷工况的方法,该方法利用检测到的磨音,计算其能量谱密度,由能量谱密度分析间接实时的反映出球磨机负荷工况。2.设计球磨机负荷检测系统。本文分别选用英创公司的EM9160、EM9281工控主板作为数据采集板及现场显示分析板,数据采集板负责采集处理信息,显示分析板负责显示及判别球磨机的真实工况。3.设计远程监控中心。远程监控中心通过接收球磨控制PLC传来的球磨机进出口流量、浓度信息,经过一定的模糊控制规则,将得到的控制信息发送给破碎送料PLC,由其控制皮带机转速,即控制球磨机的进料速度,从而实现整个系统的自动控制。本设计解决了球磨机负荷工况的难以实时检测的难题,同时对球磨机的自动控制作了进一步的研究,本文依托“尹格庄选矿厂球磨机负荷检测项目”,对所设计的负荷检测系统进行试验验证。试验结果表明该检测系统实时性好,能够准确的反映出球磨机负荷,对控制系统的仿真结果表明该控制系统能够实现球磨机负荷的自动控制,控制效果令人满意。本文的创新点在于从音频能量谱密度的角度检测球磨机负荷,并且将球磨机负荷工况作现场显示。在球磨机的自动控制过程中,当球磨机出现严重异常工况时,现场显示结果对操作工人手动控制球磨机起到极大地参考作用,为球磨机长期工作在最佳工况提供了强有力的保障。
[Abstract]:Ball mill is an important production equipment in large concentrator. As a typical high energy consumption equipment, the grinding efficiency of ball mill is closely related to the economic benefits of enterprises. At present, many enterprises can only add the ball and add and reduce the material to the ball mill through experience estimation, which can easily cause the phenomenon of "empty grinding" and "full grinding" of the ball mill, which seriously damages the economic benefit of the enterprise and shortens the service life of the ball mill at the same time. In order to solve the problem that the load of ball mill is difficult to detect directly and the indirect testing method is poor in real time, this paper puts forward a method of measuring the load condition of ball mill based on sound grinding by studying repeatedly the relationship between the grinding sound and the load condition of ball mill. The fuzzy control algorithm is used to control the load of ball mill. The main work is as follows: 1. This paper presents a method to identify the load condition of ball mill by using the energy spectrum density of audio frequency. This method calculates the energy spectrum density of ball mill by using the detected sound, and reflects the load condition of ball mill indirectly and in real time by the analysis of energy spectrum density. 2. The load detection system of ball mill is designed. In this paper, the EM9160,EM9281 industrial control board of Intrinsic Company is chosen as the data acquisition board and the field display and analysis board. The data acquisition board is responsible for collecting and processing information, and the display and analysis board is responsible for displaying and judging the real working condition of ball mill. Design remote monitoring center. The remote monitoring center controls the inlet and outlet flow rate and concentration information of ball mill from PLC by receiving ball mill. After a certain fuzzy control rule, the obtained control information is sent to the crushing feed PLC, to control the speed of belt mill. That is to control the feed speed of the ball mill, so as to realize the automatic control of the whole system. This design solves the difficult problem of the ball mill load condition which is difficult to detect in real time. At the same time, the automatic control of the ball mill is further studied. In this paper, the project of ball mill load detection in Yingezhuang Concentrator is relied on. The designed load detection system is tested and verified. The test results show that the system can accurately reflect the load of the ball mill. The simulation results of the control system show that the control system can realize the automatic control of the load of the ball mill, and the control effect is satisfactory. The innovation of this paper is to measure the load of ball mill from the angle of audio energy spectrum density, and to show the load condition of ball mill on the spot. In the process of automatic control of ball mill, when the ball mill appears serious abnormal working condition, the result of field display plays a great reference role to the manual control of ball mill. For the ball mill long-term work in the best working conditions to provide a strong guarantee.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD453

【参考文献】

中国期刊全文数据库 前10条

1 黄欣;许建新;孔雪博;熊智;;基于嵌入式平台的MEMS/GPS组合导航系统实现研究[J];导航与控制;2017年01期

2 姜剑雄;赵毅;师鹏;赵育善;;基于直觉模糊推理的天基海洋监视系统贡献度评估研究[J];上海航天;2016年06期

3 俞鹏炜;任勇;冯鹏;王洪良;魏彪;;基于FPGA的千兆以太网CMOS图像数据传输系统设计[J];国外电子测量技术;2016年11期

4 周柳慧;麻红昭;;基于USB OTG实现STM32与手机间的通信[J];工业控制计算机;2016年10期

5 吴斌;李林;张晓艳;车炯晖;;基于RS232串口的机载计算机自动测试方法[J];信息通信;2016年05期

6 周伟;;关于湿式球磨机特性探讨[J];化工设计通讯;2016年04期

7 张朝昌;高艳伦;景安华;;CAWS600型自动气象站RS232通讯改造为光纤通讯的效率比较[J];安徽农业科学;2016年06期

8 艾红;陈雯柏;;微处理器系列课程整体优化方案研究[J];实验技术与管理;2016年01期

9 宋敏;;水煤浆棒磨机溜管给料密封结构的设计及应用[J];有色设备;2015年05期

10 何芳;白焰;;球磨机钢球动能与存煤量的关系研究[J];矿山机械;2015年10期

中国博士学位论文全文数据库 前1条

1 马翠梅;低复杂度混合基FFT研究与设计[D];北京理工大学;2014年

中国硕士学位论文全文数据库 前6条

1 刘胜;挖掘机电力驱动回转减速器的可靠性研究[D];湘潭大学;2015年

2 杜智锋;基于T-S模糊模型的球磨机料位测量研究[D];太原理工大学;2014年

3 邓志泉;基于Windows CE操作系统的手持式物联网终端设计[D];电子科技大学;2014年

4 张杰;磨机运行专家控制系统的研究[D];河北联合大学;2014年

5 范飞飞;基于雷达液位计的水文信息实时监测系统的研究[D];湖北工业大学;2013年

6 陈利强;基于ARM芯片的嵌入式图像处理平台开发与实现[D];华南理工大学;2011年

，

本文编号：2366010