摘要
为了实现钢铁厂烧结机篦条故障智能化在线监测,提出了基于OpenCV图像处理技术的篦条故障图像识别方法,即通过采取篦条结构特征识别算法检测篦条的根数、间隙宽度、斜率和间隙糊堵占比等参数来表征篦条的倾斜、断裂和间隙糊堵等故障类型。该文以湘钢烧结一厂的篦条故障作为在线监测实验对象,首先对篦条图像进行拼接和自适应二值化处理,然后在篦条图像感兴趣区域(Region of interest,ROI)提取篦条轮廓并统计根数和间隙宽度;再用霍夫变换方法对图像行直线拟合,筛选出篦条所在的线段,用两个端点计算斜率得到篦条倾斜程度;再对原二值图像和开操作处理后的图像进行按位与运算,得到糊堵物位置并求出其占比;最后使用多次开操作提取到篦条断裂位置。实验结果表明,所述算法检测的篦条间隙宽度误差在4 mm内,倾率误差在±1°范围内,并能快速、有效地监测到篦条故障。
In order to realize the intelligent online monitoring of grate faults in the sintering machine of steel plant,a grate fault image recognition method based on OpenCV image processing technology is proposed,that is,the number of grate bars,gap width,slope and the proportion of gap sticking are detected by adopting the grate structural feature recognition algorithm to characterize the fault types such as the inclination,fracture and gap sticking of grate bars.In this paper,the grate fault of No.1 sintering plant of Xiangtan Iron and Steel Co.,Ltd.is taken as the online monitoring object.Firstly,the grate images are spliced and binarized adaptively.Then,the grate contour is extracted in the region of interest(ROI)area of the grate image and the number and gap width are counted;Then Hough transform method is used to fit the line of the image,and the line segment where the grate is located is selected.The slope of the grate is calculated by using the two endpoints to obtain the gradient of the grate.Then,the original binary image and the image processed by using the open operation are bitwise and calculated to get the location of the stuck object and its proportion.Finally,to use the multiple opening operations extract the broken position of the grate bar.The experimental results show that the error of the grate gap width detected by using the algorithm is within 4 mm and the error of the inclination rate is within±1°,and the grate fault can be detected quickly and effectively.
作者
罗柏文
史天宠
李宗平
廖婷婷
LUO Bowen;SHI Tianchong;LI Zongping;LIAO Tingting(Nationa-Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology,Hunan University of Science and Technology,Xiangtan 411201,Hu′nan,China;Zhongye Changtian International Engineering Co.,Ltd.,Changsha 410006,China)
出处
《机械科学与技术》
北大核心
2025年第5期840-846,共7页
Mechanical Science and Technology for Aerospace Engineering
作者简介
罗柏文,副教授,博士,363610250@qq.com。
