Decision Support System in Thailand's Dam Safety With a Mobile Application for Public Relations: DS-RMS (Dam Safety Remote Monitoring System)

Apinat Dowrueng, Chinoros Thongthamchart, Nanthiya Raphitphan, Potcharapol Brohmsubha, Wanlaya Laungnarutai, Unpong Supakchukul and Arnuphap Dowrueng
Additional contact information
Apinat Dowrueng: Technische Universität Braunschweig, Germany
Chinoros Thongthamchart: Kasetsart University, Thailand
Nanthiya Raphitphan: Electricity Generating Authority of Thailand, Thailand
Potcharapol Brohmsubha: Electricity Generating Authority of Thailand, Thailand
Wanlaya Laungnarutai: National Electronics and Computer Technology Center, Thailand
Unpong Supakchukul: National Electronics and Computer Technology Center, Thailand
Arnuphap Dowrueng: National Electronics and Computer Technology Center, Thailand

International Journal of Decision Support System Technology (IJDSST), 2022, vol. 14, issue 1, 1-35

Abstract: This paper describes the decision-making based on civil engineering expertise of the dam safety remote monitoring system (DS-RMS), which decides on action-based advice depending on every-day scenarios and special occurrences such as earthquakes and floods. The system has been in full operation since 2016 and automatically evaluates 35 failure modes for three major dam types 24 hours a day. Key benefits include quick and reliable access to current information about the dams and being a reliever to dam executives in critical situations. In further development, parts of the real-time dam information were selected and made available to the public together with dam safety evaluation results automatically and continuously via a mobile application.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.286183 (application/pdf)

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:igg:jdsst0:v:14:y:2022:i:1:p:1-35

Access Statistics for this article

International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu

More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().