摘要
针对现有的强力输送带故障实时检测方法存在故障定位困难的问题,以接头为基准参考点,提出了一种基于图像处理技术的强力输送带接头识别算法。该算法根据接头点的特征,把接头点用一个数值表示出来,并根据这个数值,以一种简单的方式区分出上、下接头点;然后根据接头的特征,并通过修改最长公共子序列算法的匹配方式,对接头进行识别。实际应用表明,该算法精度高、速度快,可有效识别强力输送带的接头,满足了强力输送带故障检测中接头定位的要求。
In view of problem of difficult location of fault existed in real time fault detection methods of powerful conveyor belt,the paper proposed an identification algorithm of joints of powerful conveyor belt based on image processing technology which takes a joint as a reference point.Firstly,based on the characteristics of joint points,a joint point is represented by a value.According to the value,upper or lower joint point could be distinguished simply.Then according to the features of joints,matching style of the longest common subsequence algorithm was modified and applied to recognize joint.The practical application showed that the algorithm has high precision and fast speed,can efficiently recognize joints of powerful conveyor belt and satisfy demand of joint locating of fault detection of powerful conveyor belt.
出处
《工矿自动化》
北大核心
2012年第4期9-12,共4页
Journal Of Mine Automation
基金
安徽省自然科学基金资助项目(KJ2011A251)
关键词
强力输送带
图像处理
接头识别
故障定位
最长公共子序列
powerful conveyor belt
image process
joint recognition
fault location
the longest common subsequence
