矿用输送带纵向撕裂故障在线监测及系统关键问题的研究

项目名称： 矿用输送带纵向撕裂故障在线监测及系统关键问题的研究

项目编号： No.51274150

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 矿业工程

项目作者： 苗长云

作者单位： 天津工业大学

项目金额： 80万元

中文摘要： 带式输送机运输是煤矿生产中主要运输方式，其使用的矿用输送带经常产生纵向撕裂等表面故障，由于得不到及时检测和处理，会造成重大断带或纵向撕裂安全事故。本项目是对矿用输送带纵向撕裂故障在线监测及系统关键问题进行研究。重点研究矿用输送带表面故障的在线监测理论与方法，提出表面故障在线监测方法，提高检测的准确性、可靠性和实时性；提出输送带表面图像的快速处理算法，提高图像的质量和处理速度，实现图像的实时处理；提出输送带纵向撕裂故障图像的特征提取和识别与定位算法，实现对纵向撕裂故障的自动识别和定位；研制矿用输送带纵向撕裂故障在线监测系统，实现对表面图像远程传输、实时处理，表面故障的在线监测；搭建实验平台，验证算法、方法的正确性和有效性；项目成果能在线监测输送带状态，自动识别纵向撕裂等表面故障，及时报警，给出停机信号，避免安全事故的发生，人员伤亡和经济损失，提高生产效率，在煤炭、矿山等领域有广泛应用前景。

中文关键词： 纵向撕裂；在线监测；机器视觉；矿用输送带；

英文摘要： Belt conveyor transportation is the main transportation mode in coal production. Mine conveyor belts often have surface faults, such as longitudinal tear, which will cause accidents of belt broken or longitudinal tear for lacking the detection and treatment in time. Key problems of on-line monitoring and system for longitudinal tear fault of mine conveyor belt are studied in this project. The theory and method of mine conveyor belts surface fault are mainly studied. Surface fault on-line monitoring method is proposed, which can be used to improve detection accuracy, reliability and real-time capability. A fast processing algorithm to deal with the conveyor belt surface image in real time is put forward to improve the image quality and processing speed. Feature extraction, recognition and positioning algorithms are proposed to achieve automatic identification and location of the longitudinal tear fault. The longitudinal tear fault on-line monitoring system of the mine conveyor belt is developed, which implement remote transmission of surface images, real-time processing, and surface fault online monitoring. The experimental platform is built to verify the correctness and validity of the algorithms and methods. The results of the project can monitor the conveyor belt state, identify longitudinal tear surface fault

英文关键词： Longitudinal tear；on-line monitoring；machine vision；mine conveyor belts；