矿用输送带表面破损的自动检测方法
Automatic detection method for mine conveyor belt surface damage
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摘要: 矿用输送带在恶劣的工作环境下表面很容易产生破损,若不及时发现并修补,破损处会继续扩大,易酿成破坏性的撕裂,造成安全事故。目前输送带表面破损检测主要由专业技术人员靠人眼在空载时频繁启停条件下进行,但仅能测量承载面,检测质量和效率低。为实时快速提取表面破损信息,采用边缘保真去噪与多项式拟合法相结合,准确检测图像中输送带边界;与投影法相结合,快速识别表面破损。依线阵摄像机所采集图像的同列所感受光强的一致性,建立能抑制行向不均匀噪声的分割模型,实时性强,分割效果好,为后续的图像处理与识别奠定了基础,为线阵摄像机的其他应用场合提供了一个有效的技术途径。对输送带承载面、非承载面的表面破损进行全面测量,若出现严重破损,及时报警,提高检测质量和效率,降低机械磨损,提高企业生产效率。Abstract: The surface of mine conveyor belt is easy to be damaged under very bad conditions. If the belt surface damage is not found and repaired in time,it would expand into a destructive rip which could lead to an accident. Currently,the belt surface on carrying side is usually inspected by worker with his eyes under no load conditions in frequent starts and stops. It is difficult to ensure the measurement precision and efficiency. The belt boundary is detected through a combination of polynomial fitting and edge-preserving denoising method,which is used to recognize surface breakage with projection method. According to the same column perceived consistency of light intensity in the image sampled by linear array camera,the segmentation model is established to suppress the uneven noise on the row orientation. This approach has better segmentation effect and less time-consuming,which is convenience to process and recognize the image. It presents an effective mean to other applications of linear array camera. The carrying side and noncarrying side of the conveyor belt are monitored by a computer vision system in real time. If there is a serious damage, the emergency alarm is sounded timely so as to repair belt promptly. It provides an effective technical way to improve the detection quality and efficiency,reduce mechanical wear,and increase production efficiency.