JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Study on the Application Technique of Realtime Bridge Monitoring System based on GNSS
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on the Application Technique of Realtime Bridge Monitoring System based on GNSS
Yeon, Sang-Ho;
  PDF(new window)
 Abstract
Recently, Last to check the security status of various medium and large bridge structures using various kinds of measurement equipment, but most of the methods are used to measure and check the displacement behavior of the bridge by a certain period. In this study, receive GPS satellite signals that can be observed in real time the whole region, a bridge to automatically measure the displacement and behavior characteristics of the structure in real-time in mm over the 24 hours, the measurement information and transmits the data to the wireless network, by making use, it was applied to the real-time monitoring system in connection with a bridge to be able to automatically notify GNSS fine displacement behavior. In fact, analysis and receives the measurement data to GNSS provided in the upper bridge of the middle and large-sized aging for this purpose, measuring USN and at the same time is converted into a three-dimensional position information of a test study was conducted to monitor the bridge displacement in real time. As a result, a vertical displacement of about 0.027~0.037m at the measurement time of day of the measurement point is that the repeated and confirmed.
 Keywords
Bridge Structures;GPS;GNSS;Displacement USN;USN;
 Language
Korean
 Cited by
 References
1.
"ZigbeX를 이용한 유비쿼터스 센서 네트워크 시스템," 한백전자 기술연구소, ISBN 978-89-90758-12-5, 2008.

2.
M. Satyanarayanan, "Pervasive Computing: Vision and Challenges," IEEE Personal Communications, Aug., 2001.

3.
K. Romer, O. Kasten, and F. Mattern, "Middleware Challenges for Wireless Sensor Networks," ACM SIGMOBILE Mobile Computing and ommunications Review, Vol.6, No.4, 2002.

4.
A. Boulis, C. C. Han, and M. B. Srivastava, "Design and Implementation of a Framework for Programmable and Efficient Sensor Networks," In The First International Conference on Mobile Systems, Applications and Services(MobiSys), San Francisco, CA, 2003.

5.
W. B. Heinzelman, A. L. Murphy, H. S. Carvalho, and M. A. Perillo, "Middleware to Support Sensor Network Applications," IEEE Network, Vol.18, No.1, pp.6-14, 2004.

6.
Y. Yao and J. Gehrke, "The Cougar Approach to In Network Query Processing in Sensor Networks," SiGMOD Record, Vol.31, No.3, Sept. 2002.

7.
C. Shen, C. Srisathapornphat, and C. Jaikeo, "Sensor Information Networking Architecture and Applications," IEEE Personal Communications, Vol.8, No.4, pp.52-59, 2001. crossref(new window)

8.
S. Li, S. Son, and J. Stankovic, "Event Detection Services Using Data Service Middleware in Distributed Sensor Networks," Int'l Workshop on Information Processing in Sensor Network (IPSN '03), Palo Alto, CA, Apr. 2003.

9.
P. Levis and D. Culler, "Mate: A Virtual Machine for Tiny Networked Sensors", Proc. of ACM Conf., Architectural Support for Programming Languages and Operating Systems, San Jose, CA, Oct. 2002.

10.
T. Liu and M. Martonsosi, "Impala : A Middleware System for Managing Autonomic, Parallel Sensor System," Proc. of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp.101-118, 2003.

11.
소방방재청, 재해지도 작성 기준 등에 관한 지침, 고시 제2006-6호, 2006.

12.
이영욱, 연상호, "건설현장의 TinyOS 기반 USN 기술의 구현에 관한 연구," pp.2-4, 2010.

13.
연상호, 리모트센싱과 GIS의 통합 및 그 적용기법에 관한 연구, 서울대학교, 박사학위논문, 1990.

14.
김양수, 우리나라 자연재해 추이발생분석 및 대응 방안 연구, 방재연구 2002-7, 국립방재연구소, 2002.

15.
소방방재청 국립방재연구소, 홍수재해지도 작성제도화 및 침수예상지역 추정방법 개발, 2000.

16.
소방방재청, 2014년 재난연감, 2014.

17.
J. Hightower and G. Borriell, "Location Systems for Ubiquitous Computing," IEEE Computer, Vol.34, No.8, pp.57-66, 2001.

18.
E. Steinle and F. H. Oliveira, Assessment of Laser Scanning Technology for Change Detection in Buildings, University of Karlsruhe Institute for Photogrammetry and Remote Sensing.

19.
S. H. Yeon, "The application technology of 3D spatial information by integration of aerial photo and laser data," The Korea contents Association, ICCC2008, Vol.6 No.2, pp.193-197, 2008.

20.
"Terrain Modeling From Lidar Range Data in Natural landscapes: A Predictive and Bayesian Framework, Large-Scale Physics-Based Terrain Editing Using Adaptive Tiles on the GPU", IEEE Transactions on Geoscience & Remote Sensing, Part 2, Vol.48, Issue 3, pp.1568-1578, 2010.

21.
"Compression of Large-Scale Terrain Data for Real-Time Visualization Using a Tiled Quad Tree," Computer Graphics Forum, Vol.23, Issue4, pp.741-759, 2004. crossref(new window)

22.
"Merging GPS and Atmospherically Corrected InSAR Data to Map 3-D Terrain Displacement Velocity," IEEE Transactions on Geoscience & Remote Sensing, Vol.49, Issue 6, pp.2354-2360, 2011, crossref(new window)

23.
"The Influence of Terrain Scattering on Radio Links in Hilly/Mountainous Regions," IEEE Transactions on Antennas & Propagation, Vol.61, Issue 3, pp.1385-1395, 2013, crossref(new window)

24.
"Arches: a Framework for Modeling Complex Terrains. Computer Graphics Forum," Vol.28, Issue 2, pp.457-467, 2009, crossref(new window)

25.
"Feature based terrain generation using diffusion equation," Computer Graphics Forum, Vol.29, Issue 7, pp.2179-2186, 2010. crossref(new window)

26.
http://www.optech.on.ca/aboutlaser.htm#hydro

27.
http://www.csc.noaa.gov/products/nchaz/htm/intro.htm

28.
http://www.ordsvy.gov.uk/productpages/lidar/home.htm