Abstract
With aim to deal with a continuously environmental change that may be unknown at design-time, we have proposed a novel self-adaptive data acquisition method for slope instability monitoring. The developed device can automatically adjust its data output rate from very low frequency to high one to capture the high-speed process when the physical variable sensed is dramatically changing. Such technique has the potential to reduce the energy consumption, bandwidth resources and data transmission burden in some practical energy conservation monitoring applications. A preliminary application of the proposed method was successfully carried out in one slope monitoring engineering in China. Application results indicate that the suggested solution can save much more energy consumed, while maintaining the data quality of crucial information.
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Acknowledgements
Funding: this study was supported by The National Basic Research Program (973 Program) (Grant No. 2013CB733200, 2014CB744703); the Funds for Creative Research Groups of China (Grant No. 41521002); The National Natural Science Foundation of China (Grant No. 41502293).
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Zhu, X., Xu, Q., Qi, X., Liu, H. (2017). A Self-adaptive Data Acquisition Technique and Its Application in Landslide Monitoring. In: Mikoš, M., Arbanas, Ž., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53487-9_7
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DOI: https://doi.org/10.1007/978-3-319-53487-9_7
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