Paper
24 October 2023 Modern information technology to enable intelligent monitoring of water projects
Yuanzhu Chen, Bin Zhang
Author Affiliations +
Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128042Z (2023) https://doi.org/10.1117/12.3007245
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China
Abstract
Safety monitoring is an important means to ensure the safety of water engineering. Modern information technologies such as cloud computing, the Internet of Things, big data, artificial intelligence, and mobile internet can provide a comprehensive and collaborative intelligent monitoring solution for water engineering, which includes "eyes, brains, and hands". This article focuses on the research results of three-dimensional perception and intelligent management in water engineering safety monitoring. Among them, three-dimensional perception technology includes GNSS application in canyon areas, UAV+, real-time adjustment of measurement robots, intelligent inspection, intelligent image analysis of water engineering safety evaluation elements, and smart sensors; Intelligent management technology includes GIS+BIM intelligent matching and embedding, integrated data management, finite element online analysis and intelligent triggering warning. These achievements provide technical support for the construction of a security monitoring technology system with "three-dimensional perception, full coverage, visual management, and intelligent application throughout the entire process", and have good research potential and application prospects.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuanzhu Chen and Bin Zhang "Modern information technology to enable intelligent monitoring of water projects", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128042Z (24 October 2023); https://doi.org/10.1117/12.3007245
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KEYWORDS
Engineering

Safety

Inspection

Environmental monitoring

3D modeling

Unmanned aerial vehicles

Intelligent sensors

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