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Research And Implementation Of Data Acquisition And Processing In Landslide Monitoring System

Posted on:2016-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:S Y WangFull Text:PDF
GTID:2180330473460846Subject:Measurement technology and equipment
Abstract/Summary:PDF Full Text Request
Landslide is a disaster geological phenomenon of crust surface rock mass and is also a common geological disaster in mountain land. Because of the sudden of landslide disasters, an economic loss of more than two hundred billion yuan every year has been caused and it would pose a threat to people’s life safety. Therefore, a study on landslide monitoring has a very important and practical significance.Firstly, signal denoising based on wavelet and wavelet packet was researched. The threshold method which uses respectively hard threshold and soft threshold of wavelet and hard threshold and soft threshold of wavelet packet for denoising. The results of simulation analysis show that the hard threshold wavelet method works best when data rate is not high.Secondly, with the landslide displacement as the analysis data, the wavelet transform modulus maxima was put forward to identify landslide phase change. We applied theoretical analysis of modulus maxima of wavelet transform to identify the change of landslide phase, which was fixed with data simulation.Thirdly, considering the uncertainty, randomness and fuzziness of the landslide hazard analysis, we utilized the fuzzy approximation theory and the principle of maximum membership degree of for landslide risk evaluation. We selected factors of the four largest influence used in the study of fuzzy evaluation analysis, and determine the weight of each influence factor according to the analytic hierarchy process. Finally the risk of Hengshan Temple in Wuxi was judged through the quantitative analysis with fuzzy comprehensive evaluation methodFinally the overall design and realization of the landslide monitoring network system was introduced, the system is mainly divided into landslide data acquisition station, GPRS wireless transmission module and terminal PC data monitoring center. We chose STM32 as the core of data acquisition. Effective data was gathered through a variety of measuring sensors, displayed on the host interface and stored. GPRS module was used for remote communication. The PC program was developed by c # and SQL2005 database, which would receive the data transferred from the landslide data acquisition station and with the help of the user interface, data processing and query functions were realized.
Keywords/Search Tags:Landslide, Wavelet, Modulus maxima, Fuzzy evaluation, Monitoring system
PDF Full Text Request
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