基于计算机视觉测量的尾矿库干滩长度监测技术研究

发布时间：2018-02-21 09:32

本文关键词： 尾矿库干滩长度计算机视觉图像分割　出处：《辽宁科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：中国是一个资源大国,矿产资源的开发和利用是我国国民经济的重要晴雨表,近年来,我国的人口和经济都在大幅度的增加,金属制品的消耗量越来越大,对矿产资源的需求量一定会爆发式的增长。中国是一个资源消耗大国,在我国的国民经济中金属矿产资源占据着无可代替的重要作用,其一旦出现问题将影响我国的经济健康发展。尾矿库是一个的人为造成的泥石流危险源,在夏天雨季全国普遍降雨量增大,如果尾矿库一旦溃堤,将给其周围的村庄居民的财产和生命造成无可换回的损失。中国的尾矿库具有量多模小的特点且采用上游式筑坝方法致使其稳定性较差。尾矿库不能给企业带来经济效益,更有甚者认为尾矿库是企业的负担,因此导致企业不愿在尾矿库上多投资,对尾矿库不够重视导致管理尾矿库的工作人员较少、技术装备落后、安全性无法得到保障。尾矿库的干滩长度不但影响尾矿坝的安全超高还影响尾矿坝浸润线的高度,同时还决定了尾矿库的防洪能力,所以说,要保证尾矿库正常平稳运行就要重点监测尾矿库的干滩长度。干滩长度会随着尾矿浆的不断注入尾矿库实时发生改变,这就决定了尾矿库干滩长度的测量和普通一般长度的测量有着很大的区别,这就要求能够实时测量出干滩的长度,在很长的一段时间里,干滩长度的测量没有一个又准确又可靠的方法。本文根据尾矿库的特点设计了基于计算机视觉干滩长度测量的方法,并通过实验室的模拟实验和现场实际测量验证了该方法的可行性。该方法有实施方便,测量误差小的优点,具有广泛的应用价值。在本文中用了摄像机及其计算机对尾矿库的干滩长度实时测量,其内容主要分为三部分:(1)测量前准备工作:标定摄像机的参数和标志杆的布置。(2)摄像机设备摄取尾矿库照片,利用MATLAB软件进行区域分割,拍摄的图片被分离出干滩区域和库区水面区域,(3)提取标志杆,根据计算机参数计算出尾矿库干滩的长度。
[Abstract]:China is a large country of resources, and the exploitation and utilization of mineral resources is an important barometer of our national economy. In recent years, the population and economy of our country have increased by a large margin, and the consumption of metal products has increased more and more. The demand for mineral resources is bound to explode. China is a large resource consuming country, and metal mineral resources play an irreplaceable role in our national economy. The tailings reservoir is a dangerous source of man-made debris flow, and the rainfall generally increases in the summer rainy season, if the tailings reservoir breaks the levee once, It will cause irrevocable losses to the property and lives of the people living in the villages around it. The tailings reservoir in China is characterized by a small quantity of multiple models and the use of upstream damming methods to make it less stable. The tailings reservoir cannot bring economic benefits to enterprises. What's more, it is considered that the tailings reservoir is the burden of the enterprise, so the enterprise is unwilling to invest more in the tailings pond, and the insufficient attention to the tailings reservoir leads to fewer staff members and backward technical equipment to manage the tailings reservoir. Safety cannot be guaranteed. The length of the dry beach of the tailings dam not only affects the safety of the tailing dam, but also affects the height of the seepage line of the tailing dam, and it also determines the flood control capacity of the tailing dam, so, In order to ensure the normal and stable operation of the tailings reservoir, it is necessary to focus on monitoring the dry beach length of the tailings reservoir, which changes in real time with the incessant injection of the tailings slurry. This determines that the length measurement of dry beach in tailings reservoir is quite different from that in general length measurement, which requires that the length of dry beach can be measured in real time, and in a very long period of time, There is no accurate and reliable method for measuring dry beach length. According to the characteristics of tailings reservoir, a method of measuring dry beach length based on computer vision is designed in this paper. The feasibility of the method is verified by laboratory simulation experiments and field measurements. The method has the advantages of convenient implementation and small measurement error. In this paper, we use the camera and its computer to measure the dry beach length of the tailings reservoir in real time. The contents are divided into three parts: 1) preparation before measurement: calibration of camera parameters and layout of marker rod. Camera equipment takes pictures of tailings reservoir and uses MATLAB software to segment the area. The images taken were separated from the dry beach area and the water surface area of the reservoir area to extract the marker bar, and the length of the dry beach in the tailings reservoir was calculated according to the computer parameters.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD926.4

【相似文献】