Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Slope Movement Detection using Ubiquitous Sensor Network

  • Jung, Hoon (Dept. of Electrical and Electronic Engineering, University of Ulsan, Dept. of Civil Engineering, KIT) ;
  • Kim, Jung-Yoon (Dept. of Electrical and Electronic Engineering, University of Ulsan, Dept. of Civil Engineering, KIT) ;
  • Chang, Ki-Tae (Dept. of Electrical and Electronic Engineering, University of Ulsan, Dept. of Civil Engineering, KIT) ;
  • Jung, Chun-Suk (Dept. of Electrical and Electronic Engineering, University of Ulsan)
  • Published : 2009.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

About 70% of Korea consists of mountainous areas, and during the construction of many roads and railroads, cut slopes are inevitably formed. The rainy season, frost heaving in winter, and thawing in spring can all cause rockfalls and landslides. The failure of these slopes is increasing every year, causing damage to vehicles, personal injury and even death. To protect people and property from such damage, a real-time monitoring system is needed to detect the early stages of slope failures. The GMG placed TRS sensor units in the slopes to monitor them in real-time. But due to its reliance on data lines and power lines, the system is vulnerable to lightning damage. The whole system can be damaged by a single lighting strike. Consequently, for the purposes of this paper we propose the use of the Ubiquitous Sensor Network (USN) which follows the IEEE 802.1.4. By using the USN system we can minimize lightning damage and can monitor the movement of the slopes consistently.

Keywords

References

  1. Son Jong-chol, 'Installation and operation of realtime monitoring system for Landslide-prone slopes', Road maintenance Division Ministry of Construction & Transportation, 2003
  2. Han, Heui-Soo, Chang, Ki-Tae 'Predicting the failure of slope by mathematical model', In Joumal Of The Korean Geotechnical Society, Vol.21 , NO.2, 2005, pp.145-150
  3. Woo, Jong-Woon, Jung, Chun-suk, 'Design of a CDMA-based real-time remote monitoring system', Joumalof The Institute ofElectronics Engineers of Korea, Vol. 43 , No.1 , 2006, pp. 7-11
  4. Segen, J., Pingali, S.: A camera-based system for tracking people in real time. IEEE Proc. Of Int. Conf. Pattem Recognition. 3 (1996) 63-67 https://doi.org/10.1109/ICPR.1996.546795
  5. Masoud, O., Papanikolopoulos, N. P.: A novel method for tracking and counting pedestrians in real time using a single camera. IEEE Trans. on Vehicular Tech. 50 (2001) 1267-1278 https://doi.org/10.1109/25.950328
  6. Habit monitoring on Great Duck Island, http://www.greatduckisland.net
  7. Redwood research, http://ib.berkeley.edu/labs/dawson/research_redwood.php
  8. TIP810CM Datasheet, http://www.maxfor.co.kr/sub5_2_1.html
  9. MSP430 Datasheet, http://www.focus.ti.comllit/ds/symlink/msp430fl101a.pdf
  10. CC2420 Datasheet, http://www.focus.ti.comldocs/prod/folders/print/cc2420.pdf

Cited by

  1. Enhanced inline conversion of fiber Bragg grating spectra based on increased polarization controllability vol.293, 2013, https://doi.org/10.1016/j.optcom.2012.11.013
  2. Corrosion monitoring of rock bolt by using a low coherent fiber-optic interferometry vol.67, 2015, https://doi.org/10.1016/j.optlastec.2014.10.004
  3. Inline selection of transmission or reflection spectra of different fiber Bragg gratings using polarization-diversity loop vol.18, pp.1, 2016, https://doi.org/10.1088/2040-8978/18/1/015702
  4. Highly-Sensitive and -Linear Cryogenic Temperature Response of Long-Period Fiber Gratings Written on B–Ge-Codoped Photosensitive Fiber vol.51, pp.9R, 2012, https://doi.org/10.7567/JJAP.51.092501
  5. A Design of Wireless Sensor Networks for a Power Quality Monitoring System vol.10, pp.12, 2010, https://doi.org/10.3390/s101109712
  6. Design and Application of a Field Sensing System for Ground Anchors in Slopes vol.13, pp.12, 2013, https://doi.org/10.3390/s130303739
  7. Lyot-type flat-top fibre multiwavelength filter based on polarisation-diversity loop structure vol.9, pp.12, 2014, https://doi.org/10.1049/mnl.2014.0386
  8. A Reliable Data Delivery Mechanism for Grid Power Quality Using Neural Networks in Wireless Sensor Networks vol.10, pp.12, 2010, https://doi.org/10.3390/s101009349