基于机器视觉的磨粉机轧距监测系统研究  

Research on mill distance monitoring system based on machine vision

作　　者：吕少杰 武文斌[1] 张文龙 侯宁沛 刘培康 赵岐峰 LU Shao-jie;WU Wen-bin;ZHANG Wen-long;HOU Ning-pei;LIU Pei-kang;ZHAO Qi-feng(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou,Henan 450001,China)

机构地区：[1]河南工业大学机电工程学院,河南郑州450001

出　　处：《食品与机械》2022年第11期101-104,110,共5页Food and Machinery

基　　金：河南省重点研发与推广项目(编号:2018304)。

摘　　要：目的:实现磨粉机磨辊轧距的实时监测。方法:采用CCD工业相机采集轧距图片,利用阈值分割、形态学方法对采集的灰度图像进行预处理操作,再利用边缘检测算法并结合MATLAB软件和数学运算剔除边缘无关点,最终计算出磨粉机的轧距。通过比较塞尺测量轧距值与系统监测值,验证系统的可行性和准确性。结果:稳定状态下该在线监测系统的数据波动幅度为0.001~0.002 mm,增速状态下波动幅度较大,为0.001~0.005 mm。结论:该系统可实时测量磨辊轧距。Objective:Real-time monitoring of the grinding roller distance of the pulverizer.Methods:CCD industrial camera was used to collect the rolling distance image,threshold segmentation and morphology were used to preprocess the gray image,and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points,and finally the rolling distance of the mill was calculated.The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring.Results:The data fluctuation range of the online monitoring system was 0.001~0.002 mm in the steady state,and the fluctuation range was larger in the speeding state,which was 0.001~0.005 mm.Conclusion:The system can measure rolling distance in real time.

关 键 词：辊式磨粉机 轧距 机器视觉 非接触式测隙 图像处理 监测系统 

分 类 号：TS211.3[轻工技术与工程—粮食、油脂及植物蛋白工程]