Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

The Geological Disaster Monitoring Method Based on GNSS

Authors
Qi Cai, Jian Jiang, Wei Chen
Corresponding Author
Qi Cai
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.148How to use a DOI?
Keywords
GNSS; geological disaster; relative position; monitoring method; cloud computing.
Abstract

In recent years, the frequent occurrence of geological disasters such as landslides, debris flow and so on causes huge losses to the lives and property of the people. To solve this problem, this paper proposes a geological disaster monitoring method based on GNSS (Global Navigation Satellite System), and the relative motion state of the monitoring points is calculated by relative positioning algorithm and coordinate transformation. The actual running data of the Chongqing geological disaster monitoring project shows that the method can effectively monitor the geological movement, and the user can obtain the information of the monitoring points conveniently and quickly through the cloud technology.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.148How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qi Cai
AU  - Jian Jiang
AU  - Wei Chen
PY  - 2016/02
DA  - 2016/02
TI  - The Geological Disaster Monitoring Method Based on GNSS
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 791
EP  - 795
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.148
DO  - 10.2991/iccsae-15.2016.148
ID  - Cai2016/02
ER  -