Automated Landslide Monitoring and Warning Using Radio Frequency Identification Technology

Automated Landslide Monitoring and Warning Using Radio Frequency Identification Technology

J. Majrouhi Sardroud S. Hosseyni E.N. Bromhead M. Riazi 

Faculty of Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran

Faculty of Engineering, Islamic Azad University, Azadshahr Branch, Iran

School of Civil Engineering, Faculty of SEC, Kingston University, UK

Shaloodeh Khak Consulting Engineers, Gorgan, Iran

Page: 
118-130
|
DOI: 
https://doi.org/10.2495/SAFE-V2-N2-118-130
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

Every landslide catastrophe causes a significant loss to human lives and their assets. These losses have increased as human development has expanded into unstable hill slopes. Thus, monitoring of landslides has received great attention over the past years. Water content and pore-water pressure in the slope areas strongly affect the instability of slops. Therefore, groundwater level is an essential element of the landslide investigation and monitoring. On the other hand, modeling of groundwater is difficult due to the complex internal geology in most landslides prone areas. This research investigates an innovative technique, based on Radio Frequency Identification (RFID) technology combined with ultrasonic sen-sors for accurate and timely identification and monitoring of groundwater level in slopes and landslide susceptible areas. The integrated monitoring and early warning system is continuous and traceable, which is able to monitor groundwater in landslide susceptible areas on a real-time basis and to reliably deliver data to a data management center. The transmission of data to the central database can be car-ried out with the help of Global System for Mobile Communications (GSM), and the collected data can be used for slope stability analysis in order to provide real time susceptibility maps. The autonomous (24/7) operation function and effective data transmission of the proposed system can be considered an essential tool for early warning and verification of landslide activity by allowing the user to be warned automatically at the onset of landslide occurrence.

Keywords: 

Automated landslide monitoring, GPRS, groundwater level, RFID, ultrasonic

  References

[1] Petley, D., Mantovani, F., Bulmer, M. & Zannoni, A., The use of surface monitor-ing data for the interpretation of landslide movement patterns. Geomorphology, 66, pp. 133–147, 2005. doi: http://dx.doi.org/10.1016/j.geomorph.2004.09.011

[2] Ayalew, L., Yamagishi, H., Marui, H. & Kanno, T., Landslides in Sado Island of Japan: Part I. Case studies, monitoring techniques and environmental considerations. Engineering Geology, 81, pp. 419–431, 2005. doi: http://dx.doi.org/10.1016/j.eng-geo.2005.08.005

[3] Xiao-gen, L., An-ming, W. & Zong-min, W., Stability analysis and monitoring study of JIJIA river landslide based on WebGIS. Journal of Coal Science & Engineering, 16, pp. 41–46, 2010. doi: http://dx.doi.org/10.1007/s12404-010-0108-7

[4] Cigna, F., Del Ventisette, C., Liguori V. & Casagli, N. Advanced radar-interpretation of InSAR time series for mapping and characterization of geological processes. Nat-ural Hazards and Earth System Sciences, 3, pp. 865–881, 2011. doi: http://dx.doi. org/10.5194/nhess-11-865-2011

[5] Gigli, G., Fanti, R., Canuti, P. & Casagli, N. Integration of advanced numerical modeling and monitoring techniques for the comprehensive analysis of risk scenario rock-slides: the case of Mt goods (Florence, Italy). Engineering Geology, 18(3), pp. 48–59, 2011. doi: http://dx.doi.org/10.1016/j.enggeo.2011.03.017

[6] Peyret, M., Djamour, Y., Rizza, M., Ritz, J., Hurtrez, J., Goudarzi, M., Nankali, H., Chery, J., Ledortz, K. & Uri, F., Monitoring of the large slow kahrod landslide in alborz mountain range (Iran) by GPS and SAR interferometry, Eng.Geol., 100(3–4), pp. 131–141, 2008. doi: http://dx.doi.org/10.1016/j.enggeo.2008.02.013

[7] Borgogno Mondino, E., Giardino, M. & Perotti, L., A neural network method for analysis of hyperspectral imagery with application to the cassas landslide (Susa Val-ley, NW-Italy), Geomorphology, 110(1–2), pp. 20–27, 2009. doi: http://dx.doi. org/10.1016/j.geomorph.2008.12.023

[8] Baldo, M., Bicocchi, C., Chiocchini, U., Giordan, D. & Lollino, G., LIDAR moni-toring of mass wasting processes: the radicofani landslide, province of Siena, central Italy. Geomorphology, 105(3–4), pp. 193–201, 2009. doi: http://dx.doi.org/10.1016/j. geomorph.2008.09.015

[9] Kumar, S. & Ramesh, M.V., Lightweight management framework (LMF) for a het-erogeneous wireless network for landslide detection, Proc. of the Int. Multi-Conf. On NeCoM 2010, WiMoN 2010, WeST 2010, eds. N. Meghanathan, S. Boumerdassi, N. Chaki & D. Nagamalai, Springer, pp. 457–471, 2010.

[10] Hosseyni, S., Bromhead, E.N., Majrouhi Sardroud, J., Limbachiya, M. & Riazi, M., Inte-grated RFID and sensor technologies for effective landslide monitoring and early warn-ing, Modern Methods and Advance in Structural Engineering and Construction, eds. S. Cheung, S. Yazdani, N. Ghafoori & A. Singh, Research Publishing: Singapore, 2011.

[11] Okimura1, T., Torii, N., Osaki, Y., Nanbu, M. & Haraguchi, K., Improvement of prediction accuracy of system of real-time type hazard map of slope failure disasters caused by heavy rainfalls, Geotechnical Engineering Journal of the SEAGS & AGSSEA, 41(2) 2010.

[12] Bonomi, T. & Cavallin, A., Three-dimensional hydrogeological modelling application to the Alvera mudslide (Cortina d’Ampezzo, Italy). Geomorphology, 30, pp. 189–199, 1999. doi: http://dx.doi.org/10.1016/S0169-555X(99)00054-9

[13] Blumberg, D., Freilikher, V., Lyalko, I., Vulfson, L., Kotlyar, A., Shevchenko, V. & Ryabokonenko, A., Soil moisture (water-content) assessment by an airborne scatterometer: the chernobyl disaster area and the negev desert. Remote Sensing of Environment, 71, pp. 309–319, 2000. doi: http://dx.doi.org/10.1016/S0034-4257(99)00087-5

[14] Sato, M. & Lu, Q., Ground water migration monitoring by GPR, Proc. of the IEEE Int. Conf. On Geoscience and Remote Sensing, pp. 345–347, 2002.

[15] Basile, A., Mele, G. & Terribile, F., Soil hydraulic behaviour of a selected benchmark soil involved in the landslide of Sarno 1998. Geoderma, 117(3–4), pp. 331–346, 2003. doi: http://dx.doi.org/10.1016/S0016-7061(03)00132-0

[16] Jiao, J., Wang, X. & Nandy, S., Confined groundwater zone and slope instability in weathered igneous rocks in Hong Kong. Engineering Geology, 80, pp. 71–92, 2005. doi: http://dx.doi.org/10.1016/j.enggeo.2005.04.002

[17] Friedel, S., Thielen, A. & Springman, S., Investigation of a slope endangered by rain-fall-induced landslides using 3D resistivity tomography and geotechnical testing. Jour-nal of Applied Geophysics, 60, pp. 100–114, 2006. doi: http://dx.doi.org/10.1016/j. jappgeo.2006.01.001

[18] Pan, S., Wang, Z., Su, Q., Sun, T. & Zhang, Y., Groundwater level monitoring mod-el using multi-temporal image in Arid region of northwest China, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, pp. 745–750, 2008.

[19] Stangl, R., Buchan, G. & Loiskand, W., Field use and calibration of a TDR-based probe for monitoring water content in a high-clay landslide soil in Austria, Geoderma, 150, pp. 23–31, 2009. doi: http://dx.doi.org/10.1016/j.geoderma.2009.01.002

[20] Tu, X., Kwong, A., Dai, F., Tham, L. & Min, H., Field monitoring of rainfall infil-tration in a loess slope and analysis of failure mechanism of rainfall-induced land-slides. Engineering Geology, 105, pp. 134–150, 2009. doi: http://dx.doi.org/10.1016/j. enggeo.2008.11.011

[21] Quinn, N., Ortega, R., Rahilly, P. & Royer, C., Use of environmental sensors and sensor networks to develop water and salinity budgets for seasonal wetland real-time water quality management. Environmental Modelling & Software, 25, pp. 1045–1058, 2010. doi: http://dx.doi.org/10.1016/j.envsoft.2009.10.011

[22] Hosseyni, S., Bromhead, E.N., Majrouhi Sardroud, J., Limbachiya, M.C. & Riazi, M., Real-time landslides monitoring and warning using RFID technology for measuring ground water level, Proc. of the 2nd Int. Conf. On Disaster Management and Human Health: Reducing Risk, Improving Outcomes, eds. C. A. Brebbia & A. J. Kassab, WIT Press: UK, 2011.

[23] Majrouhi Sardroud, J. & Limbachiya, M.C., Effective information delivery at construction phase with integrated application of RFID, GPS and GSM technology. Lecture Notes in Engineering and Computer Science, 2183(1), pp. 425–431, 2010.

[24] Domdouzis, K., Kumar, B. & Anumba, C., Radio frequency identification (RFID) ap-plications: a brief introduction. Adv. Eng. Inform., 21(4), pp. 350–355, 2007.

[25] Majrouhi Sardroud, J. & Limbachiya, M.C., Towards linking islands of information within construction projects utilizing RF technologies (Chapter 17). Electrical En-gineering and Applied Computing, eds. L. Gelman, & S. I. Ao, London: Springer, pp. 197–207,2011.

[26] Shepard, S., RFID: Radio Frequency Identifi cation, McGraw-Hill: NY, 2005.

[27] Finkenzeller, K., RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identifi cation, John Wiley & Sons, Ltd.: Wiltshire, UK, 2010.

[28] Jaselskis, E.J., & El-Misalami, T., Implementing radio frequency identification in the construction process. J. Constr. Eng. Manage. –ASCE, 129(6), pp. 680–688, 2003. doi: http://dx.doi.org/10.1061/(ASCE)0733-9364(2003)129:6(680)

[29] Malone, R., Sensing the future. Inbound Logistics, 24(12), pp. 18–19, 2004.

[30] Majrouhi Sardroud, J., Limbachiya, M.C. & Saremi, A.A., An overview of RFID appli-cations in construction industry. Proc. of The 3rd Int. RFID Conference, Tehran, IRAN, 2009.

[31] Majrouhi Sardroud, J. & Limbachiya, M.C., Utilization of advanced data storage technology to conduct construction industry on clear environment, Journal of World Acad-emy of Science. Engineering and Technology, 66, pp. 808–813, 2010.

[32] Ward, M., Thorpe, T., Price, A. & Wren, C., Implementation and control of wire less data collection on construction sites. Electronic Journal of Information Technol-ogy in Construction, 9, pp. 297–311, 2004. (doi: http://www.itcon.org/cgi-bin/works/ Show?2004_21).

[33] Ngai, E.W.T., Moon, K.K.L., Riggins, F.J. & Yi, C.Y., RFID research: An academic literature review (1995–2005) and future research directions. International Journal of Production Economics, 112(2), pp. 510–520, 2008. doi: http://dx.doi.org/10.1016/j. ijpe.2007.05.004

[34] Majrouhi Sardroud, J., Influence of RFID technology on automated management of construction materials and components, Scientia Iranica, Transactions A: Civil Engineering, 19(3), pp. 381-392, 2012. doi: http://dx.doi.org/10.1016/j.scient.2012.02.023

[35] Dziadak, K., Kumar, B. & Sommerville, J., Model for the 3D location of buried as-sets based on RFID technology. Journal of Computing in Civil Engineering, 23(3), pp. 148–159, 2009. doi: http://dx.doi.org/10.1061/(ASCE)0887-3801(2009)23:3(148)

[36] Peyret, F. & Tasky, R., A traceability system between plant and work site for asphalt pavements. Computer-Aided Civil and Infrastructure Engineering, 19(1), pp. 54–63, 2004. doi: http://dx.doi.org/10.1111/j.1467-8667.2004.00337.x

[37] Abderrahim, M., Garcia, E. Diez, R. & Balaguer, C., A mechatronics security sys-tem for the construction site. Automation in Construction, 14(4), pp. 460–466, 2005. doi: http://dx.doi.org/10.1016/j.autcon.2004.09.007

[38] Riaz, Z., Edwards, D.J. & Thorpe, A., SightSafety: a hybrid information and communication technology system for reducing vehicle/pedestrian collisions. Automa-tion in Construction, 15(6), pp. 719–728, 2006. doi: http://dx.doi.org/10.1016/j. autcon.2005.09.004

[39] Chae, S. & Yoshida, T., Application of RFID technology to prevention of collision ac-cident with heavy equipment. Automation in Construction, 19(3), pp. 368–374, 2010. doi: http://dx.doi.org/10.1016/j.autcon.2009.12.008

[40] Wu, W., Yang, H., Chew, D.A.S., Yang, S.H., Gibb, A.G.F. & Li, Q., Towards an au-tonomous real-time tracking system of near-miss accidents on construction sites. Au-tomation in Construction, 19(2), pp. 134–141, 2010. doi: http://dx.doi.org/10.1016/j. autcon.2009.11.017

[41] Akinci, B., Kiziltas, S., Ergen, E., Karaesmen, I.Z. & Keceli, F., Modeling and analyzing the impact of technology on data capture and transfer processes at construction sites: a case study. Journal of Construction Engineering and Management, 132(11), pp. 1148– 1157, 2006. doi: http://dx.doi.org/10.1061/(ASCE)0733-9364(2006)132:11(1148)

[42] Behzadan, A.H., Aziz, Z., Anumba, C.J. & Kamat, V.R., Ubiquitous location tracking for context-specific information delivery on construction sites. Automation in Construc-tion, 17(6), pp. 737–748, 2008. doi: http://dx.doi.org/10.1016/j.autcon.2008.02.002

[43] Yin, S.Y.L., Tserng, H.P., Wang, J.C. & Tsai, S.C., Developing a precast production management system using RFID technology. Automation in Construction, 18(5), pp. 677–691, 2009. doi: http://dx.doi.org/10.1016/j.autcon.2009.02.004

[44] Cheng, M.Y., Tsai, H.C., Lien, L.C. & Kuo, C.H., GIS-based restoration system for historic timber buildings using RFID technology. Journal of Civil Engineer-ing and Management, 14(4), pp. 227–234, 2008. doi: http://dx.doi.org/10.3846/ 1392-3730.2008.14.21

[45] Motamedi, A. & Hammad, A., Lifecycle management of facilities components using radio frequency identification and building information model. Electronic Journal of Information Technology in Construction, 14, pp. 238–262, 2009.