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基于GPS的边坡监测数据处理系统研究与实现

发布时间:2018-11-16 20:33
【摘要】:露天采矿作为我国煤炭工业的优先发展战略,,其规模得到迅速扩张和发展。同时,也导致滑坡等地质灾害频繁发生。滑坡作为一种危害性严重的自然灾害,威胁着人民的生命财产安全,并有可能产生巨大的经济损失。边坡监测是保证边坡在施工和使用期内安全的重要手段和措施。GPS技术具有定位精度高、不受气候条件及通视条件等因素的限制、高度自动化智能化等优点,将GPS技术应用于露天矿边坡监测不但能满足边坡监测对精度的要求,而且有利于实现边坡监测过程的智能化和自动化。 本文在研究GPS定位技术相关理论知识基础上,将GPS定位技术应用于露天矿采场边坡稳定性监控和预测。针对GPS定位过程中容易产生周跳而影响定位精度的问题,提出了将载波相位求差法和多项式拟合相结合的方法进行周跳的探测与修复。设计并实现了基于GPS的边坡监测数据处理系统。该系统能够自动的实现边坡表面位移监测、内部位移监测、断面分析、实时数据显示、历史数据查询、监测量统计分析和监测预测报警等功能。
[Abstract]:As the priority development strategy of China's coal industry, the scale of open-pit mining has been expanded and developed rapidly. At the same time, it also leads to landslides and other geological disasters occur frequently. Landslide, as a serious natural disaster, threatens the safety of people's life and property, and may cause huge economic losses. Slope monitoring is an important means and measure to ensure the safety of slope in construction and service life. GPS technology has the advantages of high positioning accuracy, not restricted by climatic conditions and common viewing conditions, and highly automatic and intelligent. The application of GPS technology in slope monitoring of open-pit mines can not only meet the requirements of slope monitoring accuracy, but also help to realize the intellectualization and automation of slope monitoring process. Based on the theoretical knowledge of GPS positioning technology, this paper applies GPS positioning technology to the monitoring and prediction of slope stability in open pit. In order to solve the problem that the cycle slip is easy to occur in the process of GPS positioning, a method combining carrier phase difference method and polynomial fitting method is proposed to detect and repair the cycle slip. A slope monitoring data processing system based on GPS is designed and implemented. The system can automatically realize the functions of slope surface displacement monitoring, internal displacement monitoring, cross-section analysis, real-time data display, historical data query, statistical analysis of monitoring quantity and monitoring prediction and alarm.
【学位授予单位】:沈阳航空航天大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:P228.4;TD804

【参考文献】

相关期刊论文 前1条

1 柴艳菊,欧吉坤,任超;GPS导航定位中周跳探测和修复方法(英文)[J];Transactions of Nanjing University of Aeronautics & Astronau;2005年02期



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