在链篦机系统故障中,一种常见的故障为侧板偏移,当发生侧板偏移时,会造成严重事故和经济损失。针对人工观察检查为主的侧板偏移检测方法存在费时费力、智能化程度低等问题,提出了一种基于直线段检测(LSD)算法的侧板偏移检测方法。设计了包括硬件设备搭建和数据处理方式的整套检测方案,采用摄像机采集链篦机台车侧板图像信息,根据链篦机台车实际运行情况,设定链篦机台车侧板偏移检测规则,通过对采集的视频帧图像感兴趣区域截取、区域划分,应用LSD算法检测图像中的直线段信息,并对检测获取到的台车侧板直线段信息进行直线融合、断点差值计算处理,依据判定规则在线检测台车侧板偏移故障并自动给出报警提示。对包钢烧结厂内采集的台车侧板视频图像进行测试,程序误检率为1%,平均检测与判定时间不足0.1 s,表明该方法能够有效替代人工观察检查方法检测台车侧板偏移故障,为链篦机台车侧板偏移检测提供技术支持。

One of the common faults in grate system is side plate offset, and when the side plate offset occurs, it will cause serious accidents and economic losses. Aiming at the problems of time-consuming, laborious, and low intelligent in the side plate offset detection method based on manual observation and inspection, a side plate offset detection method based on line segment detector (LSD) algorithm is proposed. The whole detection scheme including hardware equipment construction and data processing method is designed. The image information of the side plate of the grate trolley is collected by camera. According to the actual running condition of the grate trolley, the offset detection rules of the side plate of the grate trolley are set. Through region of interest capture and region division of the collected video frame images, LSD algorithm is used to detect the straight-line segment information in image, and the straight-line segment information of the trolley’s side plate obtained from the detection is processed by straight-line fusion and breakpoint difference calculation. According to the judgment rules, the offset fault of the trolley’s side plate is detected online and the alarm is given automatically. By testing the video image of trolley side plate collected in sintering plant of Baotou Steel, the program error detection rate is 1%, and the average detection and judgment time is less than 0.1 s, which can effectively replace the manual observation detection method to detect the offset fault of trolley side plate, and provide technical support for the offset detection of chain grate trolley side plate.