Paper
16 May 2024 Design and application of intelligent inspection system based on micro inertial navigation technology
Shuangpin Li, Yonghua Li, Zhuoyan Pei, Zuqiang Liu, Yuanzhu Chen, Bo Shi, Bin Zhang, Ming Zhen, Yiming Chen
Author Affiliations +
Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600Q (2024) https://doi.org/10.1117/12.3030620
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China
Abstract
Inspection is an important means of managing the safety of water projects and an important task for ensuring the safe operation of dams. In response to issues such as scattered inspection data, severe information islands, insufficient visualization, inadequate information management, and poor timeliness in traditional manual patrol inspections, this paper has developed an intelligent safety monitoring and inspection system based on micro inertial navigation technology. The system integrates "inertial navigation + internet of things + digital map" technology, which can accurately locate the patrol route based on indoor inertial navigation positioning or outdoor GNSS positioning. Through multimedia methods such as intelligent terminals taking photos and videos, the system records inspection data and generates inspection results based on the patrol route and inspection data. This effectively improves the intelligence level of safety monitoring and patrol inspection work. Engineering applications have shown that this system is worth promoting in other projects.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shuangpin Li, Yonghua Li, Zhuoyan Pei, Zuqiang Liu, Yuanzhu Chen, Bo Shi, Bin Zhang, Ming Zhen, and Yiming Chen "Design and application of intelligent inspection system based on micro inertial navigation technology", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600Q (16 May 2024); https://doi.org/10.1117/12.3030620
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KEYWORDS
Inspection

Intelligence systems

Navigation systems

Safety

Engineering

Signal processing

Video

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