Chapter
Jul 21, 2014

Study of the Variation of the Slope Surface Monitoring Using Wireless Sensor Network (WSN)

Publication: Recent Advances in Material, Analysis, Monitoring, and Evaluation in Foundation and Bridge Engineering

Abstract

In Taiwan, most of types of disasters can occur, such as debris flows, slope sliding, and rockfalls. The traditional instrument for slope monitoring cannot be effective concerningreal time and comprehensive layout. This study utilized WSN tilt meter to monitor the slope surface and understand the process of slope instability from the characterization variation of surface features. The first stage of the study was WSN tilt meter carried out in the National Highway No. 3, 3K+100 and used the WSN management platform to obtain the result. The WSN management platform can effectively collect the data, even if there is current bad weather. It also has a function that can fast and efficiently obtain data within a day, week, or month, average the data, then present the curve trend of the slope surface. The second stage was monitoring data analysis and laboratory tests including the calibration and simulation effect of the WSN tilt meter under various temperatures. The WSN monitoring system for slope had been used in operation for nearly a year. The data that can be gathered is useful not only for this study but also can provide useful information to the other management units, which can serve as a reference for slope stability monitoring.

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Go to Recent Advances in Material, Analysis, Monitoring, and Evaluation in Foundation and Bridge Engineering
Recent Advances in Material, Analysis, Monitoring, and Evaluation in Foundation and Bridge Engineering
Pages: 159 - 166

History

Published online: Jul 21, 2014

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Dave Ta Teh Chang [email protected]
Professor, Department of Civil Engineering, Chung Yuan University, 200 Chung Pei Road, Taoyuan 32023, Taiwan.E-mail: [email protected]
Nuan-Hsuan Ho [email protected]
Associate Professor, Department of Traffic Science, Central Police University, Taoyuan, Taiwan 333, R.O.C.E-mail: [email protected]
Yuh-Show Tsai [email protected]
Professor, Department of Biomedical Engineering, Chung Yuan University, 200 Chung Pei Road, Taoyuan 32023, Taiwan.E-mail: [email protected]
Kai-Chun Yang [email protected]
Ph.D. Student, Department of Civil Engineering, Chung Yuan University, 200 Chung Pei Road, Taoyuan 32023, Taiwan.E-mail: [email protected]

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