A Study on Real-Time Monitoring and Accident Emergency Rescue Decision Support System Based on Cloud Computing in Chemical Industry Park

Lele Qin (), Shuang Feng and Ganghui Dong ()
Additional contact information
Lele Qin: Hebei University of Science & Technology
Shuang Feng: Hebei University of Science & Technology
Ganghui Dong: ShiJiazhuang Guojicheng Primary School

A chapter in LISS 2014, 2015, pp 1505-1511 from Springer

Abstract: Abstract Regional cooperation emergency management model provides a new way of thinking to further reduce security risk in chemical industry park. Taking the model as the basis, the “cloud computing” as the system, a seven-layer concept model is designed to explain the architectural pattern of the case emergency rescue cloud and investigate the method to carry out some key technologies, such as real-time data acquisition technology, chemical industry park construction methods, and multi-source data integration middleware design. The system will provide highly effective technical support on dangerous substance monitoring, management and case pre-warning, case rescue and decision support for chemical industry park.

Keywords: Cloud computing; Chemical industry park; Emergency rescue (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-662-43871-8_216

Ordering information: This item can be ordered from
http://www.springer.com/9783662438718

DOI: 10.1007/978-3-662-43871-8_216

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().