本文選題：變形監(jiān)測 + 數(shù)據(jù)處理��； 參考：《長沙理工大學》2014年碩士論文

【摘要】：二郎河特大橋位于貴州省習水縣境內(nèi)的仁赤高速公路上,是一座比較典型的超高橋墩剛構(gòu)橋梁,大橋全長701.08m,橫跨峽谷,兩個主橋墩高均超過166m。施工和運營階段,橋墩及懸臂在風力、日照、施工和車載等因素影響下會產(chǎn)生一定程度的變形,需通過變形監(jiān)測手段掌握和控制其變形量和變形趨勢。本論文以二郎河特大橋為背景,進行了以下研究：1.探討了測量機器人變形監(jiān)測系統(tǒng)的組成,分析了其監(jiān)測誤差的主要來源及影響,設計出符合大橋施工特點的監(jiān)測方案。2.通過全天候觀測數(shù)據(jù),分析了參考點方位角測值偏差的變化規(guī)律及其影響因素,運用角度差分的方法進行了方位角的改正；基于全站儀測距原理,分析了氣象條件變化對測距的影響,研究了一種應用測量機器人監(jiān)測數(shù)據(jù)反演局部區(qū)域大氣折射率變化的方法,并進行了距離的改正。3.結(jié)合實際施工進展情況,分析了變形量和變形趨勢。4.研究了小波分析方法及其在變形監(jiān)測數(shù)據(jù)處理中的應用,利用小波包算法可實現(xiàn)信噪分離的功能,實現(xiàn)了監(jiān)測數(shù)據(jù)的消噪和消噪后的效果分析。研究表明,在應用測量機器人進行全天候監(jiān)測中,受到氣象條件等因素的影響,儀器的初始定向方位會發(fā)生偏移變化,使監(jiān)測數(shù)據(jù)中包含系統(tǒng)性的定向偏差。該偏差為一變量,且與溫度密切相關,表現(xiàn)為周日視變化規(guī)律。主要研究成果為：(1)利用參考點進行方位角差分的方法,可以有效削弱定向偏差的影響；(2)通過測站與已知參考點間距離觀測值的變化,求得大氣折射率的近似值及其變化,可以用于監(jiān)測點距離觀測值的氣象改正；(3)應用小波包算法可以有效實現(xiàn)對監(jiān)測數(shù)據(jù)的消噪。
[Abstract]:Erlang River Bridge, located on Renchi Expressway in Xishui County, Guizhou Province, is a typical super-high pier rigid frame bridge. The bridge is 701.08m in length and spans the canyon. The height of the two main piers is more than 166m. In the stage of construction and operation, the bridge pier and cantilever will produce certain degree of deformation under the influence of wind, sunshine, construction and vehicle, etc. It is necessary to master and control the deformation amount and deformation trend by means of deformation monitoring. This thesis takes the Erlang River Bridge as the background, carries on the following research: 1. This paper discusses the composition of the deformation monitoring system of measuring robot, analyzes the main sources and effects of its monitoring error, and designs a monitoring scheme .2which accords with the construction characteristics of the bridge. Based on the all-weather observation data, the variation law of azimuth deviation of reference point and its influencing factors are analyzed, and the azimuth correction is carried out by using the method of angle difference. In this paper, the influence of meteorological conditions on ranging is analyzed, and a method of retrieving local atmospheric refractive index changes from monitoring data of measuring robot is studied, and the range correction is carried out. Combined with the progress of actual construction, the deformation amount and trend are analyzed. The wavelet analysis method and its application in deformation monitoring data processing are studied. Wavelet packet algorithm is used to realize the function of separation of signal and noise, and the de-noising of monitoring data and the effect analysis after de-noising are realized. The results show that the initial orientation of the instrument will change due to the influence of meteorological conditions in the all-weather monitoring using the measuring robot, which makes the monitoring data contain systematic orientation deviation. The deviation is a variable and closely related to temperature. The main research results are as follows: (1) by using the method of azimuth difference of reference points, the influence of directional deviation can be effectively weakened. (2) the approximate values of atmospheric refractive index and their variations can be obtained by changing the observed values of the distance between the station and the known reference points. It can be applied to the meteorological correction of the observation value of the distance between the monitoring points. (3) the wavelet packet algorithm can effectively realize the de-noising of the monitoring data.
【學位授予單位】：長沙理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U446

【參考文獻】

相關碩士學位論文 前1條

1 高淑照;灰色系統(tǒng)理論及在混凝土橋梁施工撓度變形監(jiān)測中的應用[D];西南交通大學;2002年

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本文編號：2012051