relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1750/
title: Development of a Rainfall-Triggered Landslide System using Wireless Accelerometer Network
creator: Tran, Duc Tan
creator: Nguyen, Dinh Chinh
creator: Tran, Duc Nghia
creator: Ta, Duc Tuyen
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: Recently,  Micro-Electro-Mechanical-Systems  (MEMS)  based  accelerometers  become  a  good candidate  for  replacing  the  geophone  and  inclinometer  in  landslide  monitoring.  By  integrating different kinds of sensors to each node of a communication system, Wireless sensor network (WSN) is a good facility to measure and remote monitor the environment's parameters. Obviously, the cost of the WSN needs to be reduced in order to set-up the systems in many more wide, unstable slopes. However,   for a low-cost  solution,  there  is  no  Wireless  Accelerometer  Network  (WAN)  could  provide  all   information of vibration, inclination, and displacement at once due to essence drawbacks of MEMS based sensors. Therefore, in this paper, we explored the use of low cost, three degrees of freedom (3-DoF) ADXL335 chip based MEMS accelerometers to measure and real-time monitor the inclination, the  vibration,  and  the  displacement  of  the  soil  slope.  Both  deterministic  and  stochastic  errors  are investigated to maximally reduce the incorrectness from sensors. Several signal processing algorithms are applied to provide the accurate information of the inclination and vibration. For the displacement   estimation, a novel procedure is proposed to eliminate the accumulated error.
publisher: Advanced Institutes of Convergence Information Technology
date: 2015
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1750/1/IJACT3548PPL.pdf
identifier:   Tran, Duc Tan and Nguyen, Dinh Chinh and Tran, Duc Nghia and Ta, Duc Tuyen  (2015) Development of a Rainfall-Triggered Landslide System using Wireless Accelerometer Network.  International Journal of Advancements in Computing Technology, 7  (5).   p. 14.  ISSN 2233-9337