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Deformation detection for Iskandarnet

Tragedies and disasters in the past have shown the threats that are associated with large construction projects. A timely identification of precursory movements may save lives and minimise collateral damage. An advanced global positioning system (GPS) continuously operating reference station network...

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Main Authors: Lim, Meng Chan, Setan, Halim, Othman, Rusli, Chong, Albert
Format: Article
Published: 2012
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/id/eprint/46773/
http://dx.doi.org/10.1179/1752270611Y.0000000019
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spelling my.utm.467732017-09-19T04:55:57Z http://eprints.utm.my/id/eprint/46773/ Deformation detection for Iskandarnet Lim, Meng Chan Setan, Halim Othman, Rusli Chong, Albert QD Chemistry Tragedies and disasters in the past have shown the threats that are associated with large construction projects. A timely identification of precursory movements may save lives and minimise collateral damage. An advanced global positioning system (GPS) continuously operating reference station network known as ISKANDARnet is operated continuously to detect deformations in Iskandar, State of Johor, Malaysia. In this study, three GPS continuously operating reference stations from the ISKANDARnet were used as the object stations along four nearby international GNSS service stations (NTUS, XMIS, COCO and PIMO) used as reference stations. The GPS data were streamed and processed by a GPS processing software module, Bernese processing engine. A deformation analysis module was developed using the MATLAB programming language to carry out continuous two-epoch analyses. The development also involves the implementation of the iteratively weighted similarity transformation method and a final S-transformation to analyse the GPS data. By applying these techniques, unstable object points were identified within the monitoring network and accurate displacement vectors were computed. The time-based variation of the displacements was shown in this paper. Test results showed that the system performed satisfactorily. 2012 Article PeerReviewed Lim, Meng Chan and Setan, Halim and Othman, Rusli and Chong, Albert (2012) Deformation detection for Iskandarnet. Survey Review, 44 (326). pp. 198-207. ISSN 0039-6265 http://dx.doi.org/10.1179/1752270611Y.0000000019
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Lim, Meng Chan
Setan, Halim
Othman, Rusli
Chong, Albert
Deformation detection for Iskandarnet
description Tragedies and disasters in the past have shown the threats that are associated with large construction projects. A timely identification of precursory movements may save lives and minimise collateral damage. An advanced global positioning system (GPS) continuously operating reference station network known as ISKANDARnet is operated continuously to detect deformations in Iskandar, State of Johor, Malaysia. In this study, three GPS continuously operating reference stations from the ISKANDARnet were used as the object stations along four nearby international GNSS service stations (NTUS, XMIS, COCO and PIMO) used as reference stations. The GPS data were streamed and processed by a GPS processing software module, Bernese processing engine. A deformation analysis module was developed using the MATLAB programming language to carry out continuous two-epoch analyses. The development also involves the implementation of the iteratively weighted similarity transformation method and a final S-transformation to analyse the GPS data. By applying these techniques, unstable object points were identified within the monitoring network and accurate displacement vectors were computed. The time-based variation of the displacements was shown in this paper. Test results showed that the system performed satisfactorily.
format Article
author Lim, Meng Chan
Setan, Halim
Othman, Rusli
Chong, Albert
author_facet Lim, Meng Chan
Setan, Halim
Othman, Rusli
Chong, Albert
author_sort Lim, Meng Chan
title Deformation detection for Iskandarnet
title_short Deformation detection for Iskandarnet
title_full Deformation detection for Iskandarnet
title_fullStr Deformation detection for Iskandarnet
title_full_unstemmed Deformation detection for Iskandarnet
title_sort deformation detection for iskandarnet
publishDate 2012
url http://eprints.utm.my/id/eprint/46773/
http://dx.doi.org/10.1179/1752270611Y.0000000019
_version_ 1643652135893598208
score 13.211869

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