AIoT Monitoring Technology for Optimal Fill Dam Installation and Operation
Source abstract
Abstract
Fill dam structures are generally considered safe, but frequent heavy rainfall in recent years due to climate change has increased their risk of collapse. Technologies for the monitoring and safety management of these structures have attracted considerable attention, and methods to utilize technologies such as artificial intelligence (AI) and Internet of Things (IoT) for maintenance have been investigated. However, the measurement and communication processes of sensors used in the IoT technology are prone to measurement errors. Moreover, the communication environment and frequency range used by unlicensed operators vary within a country. Technologies for accurate interpretation of measurement results and optimal communication are required to address these issues. In this study, a technology for dam safety management and communication environment optimization was developed using AIoT (AI+IoT), and its field applicability was verified.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Dam Engineering and Safety · Hydraulic flow and structures · Hydrology and Sediment Transport Processes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Gyeonggi-do, Republic of Korea
Asin C&T, Siheung-si 15047, Gyeonggi-do, Republic of Korea
Funding
Korea Institute of Civil Engineering and Building Technology
References (21)
Show source-provided references
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