Research on the technological architectural design of geological hazard monitoring and rescue-after-disaster system based on cloud computing and Internet of things

Lele Qin (), Shuang Feng and Hongyi Zhu
Additional contact information
Lele Qin: Hebei University of Science & Technology
Shuang Feng: Hebei University of Science & Technology
Hongyi Zhu: China International Engineering Consulting Corporation

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 3, No 12, 684-695

Abstract: Abstract Geological disaster monitoring and warning and post-disaster rescue system support is an important means to improve the ability of coping with geological disaster actively. Geological disasters are aggravating increasingly along with engineering construction and excessive development of resources, thus it is necessary to utilize reasonable monitoring technology for scientific prevention. The article begins with constructing main key technologies of geological disaster real-time monitoring and warning system and post-disaster rescue system, summarizes main features of new-generation information technology, proposes the clews and methods of solving monitoring data acquisition, remote wireless transmission, architecture optimization and integration, quick mining of key data, post-disaster rescue system and systematic management of rescue supplies based on technologies like Internet of things (IOT), new-generation information technology, cloud computing, mega data, and discusses the realization scheme of key technologies such as integration of RFID technology and sensor network technology and expert decision-making model. As has been proved by practice, the said technology is feasible and systems are well reliable and advanced, which are able to provide considerable technological support for disaster reduction and prevention decision-making.

Keywords: Cloud computing; Internet of things (IOT); Geological disaster monitoring and post-disaster rescue (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-017-0638-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-017-0638-0

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-017-0638-0

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().