Wireless Monitoring–Based Real-Time Analysis and Early-Warning Safety System for Deep and Large Underground Caverns
Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 2
Abstract
Large-scale underground cavern projects are complicated in terms of construction technology, engineering quality, and safety. Moreover, the timely collection of vital construction information is difficult due to the complexity of the data and poor timeliness. In order to ensure the completion of construction progress and construction safety, this paper developed a real-time analysis and early-warning safety system for deep large underground caverns to automatically generate the early-warning level and corresponding emergency plans. There were two innovations involved in this system. On the one hand, a wireless monitoring and transmission platform is proposed to collect time-variable information from underground caverns. On the other hand, an early-warning safety framework is advanced, which contains abnormal recognition and early-warning information examination and verification, to support the whole-process management of integral safety for underground caverns. The system has been implemented successfully in an underground cavern construction project for Lianghekou Hydropower Station in China. The application demonstrates the proposed integration technology of real-time analysis and safety early warning can rapidly recognize abnormalities from massive monitoring data and provides a more accurate and reliable stepwise evaluation process for early warning.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by the National Key Research and Development Program of China (No. 2018YFC0406905), Yunnan Key Research and Development Program (No. 2017IB014), the Innovative Research Groups of the National Natural Science Foundation of China (No. 51621092), and the Joint Fund of Natural Science Foundation of China and Yalong River Hydropower Development Co., Ltd. (No. U1765106).
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Published In
Journal of Performance of Constructed Facilities
Volume 35 • Issue 2 • April 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 17, 2020
Accepted: Jul 13, 2020
Published online: Dec 17, 2020
Published in print: Apr 1, 2021
Discussion open until: May 17, 2021
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