基于壓縮感知的橋梁結(jié)構(gòu)快速移動無線傳感檢測技術
發(fā)布時間:2019-01-06 11:03
【摘要】:橋梁結(jié)構(gòu)的健康監(jiān)測技術是土木工程領域多學科交叉研究的熱點方向之一,基于無線傳感網(wǎng)絡的結(jié)構(gòu)健康監(jiān)測技術近年來被廣泛應用。本文基于應用數(shù)學中最新的研究成果壓縮感知理論,結(jié)合無線傳感器技術,針對目前城市區(qū)域中小橋梁快速檢測的難題,提出橋梁結(jié)構(gòu)快速檢測的移動無線傳感技術。針對移動狀態(tài)下無線傳感網(wǎng)絡數(shù)據(jù)丟失的問題,提出了基于壓縮感知的無線傳感網(wǎng)絡數(shù)據(jù)丟失恢復算法,并提出了基于快速移動無線傳感技術的橋梁結(jié)構(gòu)模態(tài)測試方法。 本文主要研究內(nèi)容包括: 研究快速移動無線傳感網(wǎng)絡在無線傳輸中的數(shù)據(jù)丟失規(guī)律以及數(shù)據(jù)丟失的原因。采用無線傳感器,開展了直線快速移動和圓形環(huán)繞快速移動兩種工況下的無線傳感器數(shù)據(jù)傳輸實驗,研究無線基站接收采樣數(shù)據(jù)的丟包率與基站移動速度的相關關系,并探尋快速移動無線傳感網(wǎng)絡無線傳輸數(shù)據(jù)丟失的內(nèi)在原因。 研究基于壓縮感知理論的橋梁結(jié)構(gòu)快速檢測移動無線傳感技術的數(shù)據(jù)丟失恢復方法,,首先依據(jù)哈爾濱松浦大橋現(xiàn)場實測的無線傳感器數(shù)據(jù),分析無線傳感數(shù)據(jù)的丟失模式,然后對實驗中采集的橋面加速度信號進行稀疏性分析,最后研究根據(jù)實測丟包情況下所提出方法的數(shù)據(jù)恢復效果,以及時域、頻域的數(shù)據(jù)恢復誤差。 研究基于快速移動無線傳感網(wǎng)絡橋梁結(jié)構(gòu)模態(tài)測試技術,對哈爾濱松浦大橋進行模態(tài)測試實驗,首先通過不同速度下的可移動基站獲取在自然激勵作用下橋面振動的加速度數(shù)據(jù),然后通過壓縮感知數(shù)據(jù)丟失恢復方法對丟包的數(shù)據(jù)進行恢復重構(gòu),進一步通過自然激勵技術與特征系統(tǒng)識別算法相結(jié)合以識別松浦大橋的結(jié)構(gòu)模態(tài)參數(shù)。最后通過與未丟包數(shù)據(jù)識別的模態(tài)參數(shù)進行對比,驗證基于快速移動無線傳感網(wǎng)絡橋梁結(jié)構(gòu)模態(tài)測試技術的可行性。
[Abstract]:The health monitoring technology of bridge structure is one of the hot topics in the field of civil engineering. The structure health monitoring technology based on wireless sensor network has been widely used in recent years. Based on the theory of compressed sensing in applied mathematics and the wireless sensor technology, this paper proposes a mobile wireless sensing technology for bridge structure fast detection, aiming at the difficult problem of rapid detection of small and medium-sized bridges in urban areas. Aiming at the problem of data loss in wireless sensor networks in mobile state, a data loss recovery algorithm based on compressed sensing is proposed, and a bridge structure modal testing method based on fast mobile wireless sensing technology is proposed. The main contents of this paper are as follows: the data loss rule and the reason of data loss in wireless transmission of fast mobile wireless sensor network are studied. Using wireless sensor, the experiment of wireless sensor data transmission is carried out under two working conditions: linear fast moving and circular fast moving, and the correlation between packet loss rate and base station moving speed of wireless base station receiving sampling data is studied. And explore the internal cause of wireless transmission data loss in fast mobile wireless sensor network. This paper studies the data loss recovery method of bridge structure detecting mobile wireless sensor technology based on compressed sensing theory. Firstly, according to the field measured wireless sensor data of Songpu Bridge in Harbin, the lost mode of wireless sensor data is analyzed. Then the sparsity analysis of the bridge acceleration signal collected in the experiment is carried out. Finally, the data recovery effect of the proposed method based on the experimental data loss and the data recovery errors in the time domain and frequency domain are studied. Based on the fast moving wireless sensor network bridge structure modal test technology, the modal test experiment of Harbin Songpu Bridge is studied. Firstly, the acceleration data of bridge deck vibration under natural excitation are obtained by mobile base station at different speeds, and then the packet lost data is reconstructed by compressed perceptual data loss recovery method. Furthermore, the modal parameters of Songpu Bridge are identified by the combination of natural excitation technique and feature system identification algorithm. Finally, the feasibility of bridge structure modal testing technology based on fast mobile wireless sensor network is verified by comparing with the modal parameters identified by the data without packet loss.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:U446
本文編號:2402707
[Abstract]:The health monitoring technology of bridge structure is one of the hot topics in the field of civil engineering. The structure health monitoring technology based on wireless sensor network has been widely used in recent years. Based on the theory of compressed sensing in applied mathematics and the wireless sensor technology, this paper proposes a mobile wireless sensing technology for bridge structure fast detection, aiming at the difficult problem of rapid detection of small and medium-sized bridges in urban areas. Aiming at the problem of data loss in wireless sensor networks in mobile state, a data loss recovery algorithm based on compressed sensing is proposed, and a bridge structure modal testing method based on fast mobile wireless sensing technology is proposed. The main contents of this paper are as follows: the data loss rule and the reason of data loss in wireless transmission of fast mobile wireless sensor network are studied. Using wireless sensor, the experiment of wireless sensor data transmission is carried out under two working conditions: linear fast moving and circular fast moving, and the correlation between packet loss rate and base station moving speed of wireless base station receiving sampling data is studied. And explore the internal cause of wireless transmission data loss in fast mobile wireless sensor network. This paper studies the data loss recovery method of bridge structure detecting mobile wireless sensor technology based on compressed sensing theory. Firstly, according to the field measured wireless sensor data of Songpu Bridge in Harbin, the lost mode of wireless sensor data is analyzed. Then the sparsity analysis of the bridge acceleration signal collected in the experiment is carried out. Finally, the data recovery effect of the proposed method based on the experimental data loss and the data recovery errors in the time domain and frequency domain are studied. Based on the fast moving wireless sensor network bridge structure modal test technology, the modal test experiment of Harbin Songpu Bridge is studied. Firstly, the acceleration data of bridge deck vibration under natural excitation are obtained by mobile base station at different speeds, and then the packet lost data is reconstructed by compressed perceptual data loss recovery method. Furthermore, the modal parameters of Songpu Bridge are identified by the combination of natural excitation technique and feature system identification algorithm. Finally, the feasibility of bridge structure modal testing technology based on fast mobile wireless sensor network is verified by comparing with the modal parameters identified by the data without packet loss.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:U446
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