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Design of Landslide Warning System

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1059))

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Abstract

Aiming at geological disaster monitoring and prevention work, a real-time monitoring and early warning system is proposed for low-power consumption of landslides to meet the needs of landslide monitoring in remote mountainous areas. The inclination angle of the mountain body was detected by a mechanical inclination sensor, and a plurality of inclination sensors were placed on each landslide body to form an array distribution. The landslide body was stereoscopically monitored. Each mesh node had a different node address, and different inclination thresholds were set in advance. When the sensor detection value reached the threshold, an alarm message was sent to the system main control end, and the main control end generated an audible and visual alarm, and an alarm message was sent at the same time. Compared with the current landslide warning system on the market, the system achieves expected results and its power consumption is extremely low. The sensor terminal of the mountain monitoring is powered by dry battery and can work for 6 years in the field without external power supply. It avoids the damages made by weather, livestock and human, and has broad application prospects.

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References

  1. Wen, N.: Laboratory realization of real-time monitoring system for landslides based on sensors. College of Resources and Environmental Sciences, Chongqing University, Chongqing (2011)

    Google Scholar 

  2. Pei, R.: Analysis of the mechanism of landslide formation and stability study. Fujian Const. Technol. (05), 33–34+40 (2018)

    Google Scholar 

  3. Liu, H., Yang, X., Wang, R., Jin, W., Jia, W., Liu, W: Transmit/receive spatial smoothing with improved effective array aperture for angle and mutual coupling estimation in bistatic MIMO radar. Int. J. Antennas Propag. (2016)

    Google Scholar 

  4. Dong, J., Wu, Q., Wan, S., et al.: Emergency monitoring and early warning technology system for sudden landslide disasters. Sci. Technol. Eng. 18(11), 135–140 (2018)

    Google Scholar 

  5. Tang, P., Wang, X., Hu, L.: Upgrading STM32 MCU firmware online with IAP technology. J. Jishou Univ. (Nat. Sci. Edn.) 40(01), 21–26 (2019)

    Google Scholar 

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Acknowledgments

This work was supported by the Ministry of Science and Technology 863 Project (No. 2013AA12210504), Guangxi Education Department Guangxi University Research Project (No. 200911MS106), Guangxi Science and Technology Department Project (No. AC16380128), Qingxiu Science and Technology Department of Nanning City Project (No. 2018002) and by GuangXi key Laboratory Fund of Embedded Technology and Intelligent System.

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Correspondence to Xiaoping Yang .

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© 2019 Springer Nature Singapore Pte Ltd.

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Yang, X., Du, J., Su, Z., Nong, P., Qin, Z., Chen, B. (2019). Design of Landslide Warning System. In: Mao, R., Wang, H., Xie, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0121-0_20

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  • DOI: https://doi.org/10.1007/978-981-15-0121-0_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0120-3

  • Online ISBN: 978-981-15-0121-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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