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      Investigation on Fast Response Performance of Dam Deformation Monitoring System with Wireless Sensor and Virtualizing Technique

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      https://www.riss.kr/link?id=A102041503

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      다국어 초록 (Multilingual Abstract)

      Dam deformation monitoring is quite important. Monitoring of dam deformation is important for ensuring people's normal lives and reducing losses. Dam deformation often experiences a relatively long time. The deformation rate is relatively small at the...

      Dam deformation monitoring is quite important. Monitoring of dam deformation is important for ensuring people's normal lives and reducing losses. Dam deformation often experiences a relatively long time. The deformation rate is relatively small at the beginning time, and it is large at the later stage. Monitoring at the early stage of dam deformation is of great significance. The wireless sensor network has the characteristics of not being affected by the terrain, convenient arrangement and so on, which can be used to monitor the deformation of the dam. In order to improve the transmission efficiency of the wireless sensor network, data compression is helpful for the energy savings and transmission rate improving. In this paper, a dam monitoring system based on wireless sensor networks is developed. In this paper, a dam monitoring system based on wireless sensor network and GPS multi antenna is developed. In the network monitoring system and data acquisition using wireless sensor module, data transmission using data compression technology and data cache technology. At the end of the monitoring terminal, desktop cloud technology is used to process the data collected and show the real time dam deformation condition. This method can also be used in other object motion or deformation with large range and other monitoring field to improve the monitoring efficiency.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Composite Monitoring Method
      • 3. Simulation and Results
      • 4. Conclusion
      • Abstract
      • 1. Introduction
      • 2. Composite Monitoring Method
      • 3. Simulation and Results
      • 4. Conclusion
      • Acknowledgments
      • References
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