基于GPS的输油管道异常位移监测算法的研究

发布时间：2018-04-20 02:15

本文选题：输油管道 + GPS　；参考：《中国石油大学（华东）》2013年硕士论文

【摘要】：输油管道是石油、天然气的主要运输渠道，承担着能源运输的重大责任。管道遍布全国各地，，其安全形势将是管道公司、各级政府部门、社会各阶层关注的焦点。然而由于地质灾害或是人为破坏，输油管道出现沉降、移位甚至断裂的情况时有发生，对输油管道的异常位移监测就显得非常必要。 GPS作为一种全新的现代空间定位技术，已经在许多的测量领域取代传统的光学和电子测量方法，变形监测领域也不例外。GPS变形监测的实现可以减轻外业工作量，大大提高工作效率[1]。基于GPS的这些优点，本文考虑将GPS测量技术应用在输油管道位移监测领域。本文使用GPS静态相对定位的方法定位输油管道的位置，阐明了静态相对定位方法的原理，分析了输油管道异常位移监测中各种误差对静态相对定位的影响。本文还对静态相对定位在位移监测应用中的关键技术进行了研究，给出了一种能够比较准确探测观测值整周跳变及粗差的方法，对整周模糊度确定的问题进行了研究，给出了一种能够快速搜索整周模糊度的方法。本文给出了从观测数据处理到最终定位输油管道位置的完整的算法，并编程实现了这些算法。本文使用了IGS观测站的观测数据来检验定位结果，误差分析以及与精确坐标的对比都验证了该算法的准确性和有效性。
[Abstract]:Oil pipeline is the main transportation channel of oil and natural gas, which bears the great responsibility of energy transportation. Pipeline all over the country, its safety situation will be pipeline companies, government departments at all levels, all sectors of society focus. However, due to geological hazards or man-made damage, oil pipeline subsidence, displacement and even fracture occur from time to time, the abnormal displacement monitoring of oil pipeline is very necessary. As a new modern space positioning technology, GPS has replaced the traditional optical and electronic measurement methods in many fields of measurement, and the realization of deformation monitoring in the field of deformation monitoring can reduce the workload of field work. Greatly improve working efficiency [1]. Based on these advantages of GPS, this paper considers the application of GPS measurement technology in the field of oil pipeline displacement monitoring. In this paper, the GPS static relative positioning method is used to locate the oil pipeline, the principle of the static relative positioning method is expounded, and the influence of various errors on the static relative positioning in the abnormal displacement monitoring of the oil pipeline is analyzed. This paper also studies the key technology of static relative positioning in the application of displacement monitoring, gives a method that can accurately detect the whole cycle jump and gross error of observation value, and studies the problem of determining the ambiguity of whole cycle. In this paper, a method for fast searching for integer ambiguity is presented. In this paper, the complete algorithms from the observation data processing to the final location of the oil pipeline are presented, and these algorithms are implemented by programming. In this paper, the accuracy and validity of the algorithm are verified by using the observation data of the IGS station to verify the localization results, error analysis and comparison with the exact coordinates.
【学位授予单位】：中国石油大学（华东）
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TE973.6;P228.4

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