Fiber optic nerve sensing system for landslide monitoring: Technology and application

Significance Landslide disasters are widely distributed in China. Effective monitoring, early warning, and risk management measures are key to disaster prevention and mitigation. Progress Compared with conventional techniques, distributed fiber optic sensing (DFOS) technology has made significant pr...

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Main Authors: Ning MA, Shaokai LI, Feng TIAN, Xiao YE, Honghu ZHU
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2024-11-01
Series:地质科技通报
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Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240422
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author Ning MA
Shaokai LI
Feng TIAN
Xiao YE
Honghu ZHU
author_facet Ning MA
Shaokai LI
Feng TIAN
Xiao YE
Honghu ZHU
author_sort Ning MA
collection DOAJ
description Significance Landslide disasters are widely distributed in China. Effective monitoring, early warning, and risk management measures are key to disaster prevention and mitigation. Progress Compared with conventional techniques, distributed fiber optic sensing (DFOS) technology has made significant progress in landslide monitoring in recent decades, owing to its strengths in distributed, long-distance, large-range, and multiparameter monitoring. This paper first introduces several representative fiber optic sensing technologies, then proposes the concept of a fiber optic neural sensing system for landslides, and last elaborates the working principles of various fiber optic sensors and their deployment methods. Two typical landslide monitoring cases using ultra-weak fiber Bragg grating (UWFBG) monitoring technology are introduced, and the current technical bottlenecks are discussed. Conclusions and Prospects The case studies show that the fiber optic neural sensing system can achieve remote, real-time, high-precision underground multiparameter data acquisition, accurately detect potential slip surfaces and other key interfaces. Additionally, multiphysical changes at these interfaces provide important data support for understanding the underground evolution of landslides, which offers new insights into landslide prediction and early warning.
format Article
id doaj-art-94ea78c69f8b4b48bb07f295f85c2ba1
institution Kabale University
issn 2096-8523
language zho
publishDate 2024-11-01
publisher Editorial Department of Bulletin of Geological Science and Technology
record_format Article
series 地质科技通报
spelling doaj-art-94ea78c69f8b4b48bb07f295f85c2ba12024-12-16T08:14:34ZzhoEditorial Department of Bulletin of Geological Science and Technology地质科技通报2096-85232024-11-01436263810.19509/j.cnki.dzkq.tb20240422dzkjtb-43-6-26Fiber optic nerve sensing system for landslide monitoring: Technology and applicationNing MA0Shaokai LI1Feng TIAN2Xiao YE3Honghu ZHU4School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaNanjing Jiangbei New Area Planning and Natural Resources Bureau, Nanjing 210032, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaSignificance Landslide disasters are widely distributed in China. Effective monitoring, early warning, and risk management measures are key to disaster prevention and mitigation. Progress Compared with conventional techniques, distributed fiber optic sensing (DFOS) technology has made significant progress in landslide monitoring in recent decades, owing to its strengths in distributed, long-distance, large-range, and multiparameter monitoring. This paper first introduces several representative fiber optic sensing technologies, then proposes the concept of a fiber optic neural sensing system for landslides, and last elaborates the working principles of various fiber optic sensors and their deployment methods. Two typical landslide monitoring cases using ultra-weak fiber Bragg grating (UWFBG) monitoring technology are introduced, and the current technical bottlenecks are discussed. Conclusions and Prospects The case studies show that the fiber optic neural sensing system can achieve remote, real-time, high-precision underground multiparameter data acquisition, accurately detect potential slip surfaces and other key interfaces. Additionally, multiphysical changes at these interfaces provide important data support for understanding the underground evolution of landslides, which offers new insights into landslide prediction and early warning.https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240422fiber optic nervelandslide hazardevolutionary processmulti-field monitoringfiber optic sensingultra-weak fiber bragg grating
spellingShingle Ning MA
Shaokai LI
Feng TIAN
Xiao YE
Honghu ZHU
Fiber optic nerve sensing system for landslide monitoring: Technology and application
地质科技通报
fiber optic nerve
landslide hazard
evolutionary process
multi-field monitoring
fiber optic sensing
ultra-weak fiber bragg grating
title Fiber optic nerve sensing system for landslide monitoring: Technology and application
title_full Fiber optic nerve sensing system for landslide monitoring: Technology and application
title_fullStr Fiber optic nerve sensing system for landslide monitoring: Technology and application
title_full_unstemmed Fiber optic nerve sensing system for landslide monitoring: Technology and application
title_short Fiber optic nerve sensing system for landslide monitoring: Technology and application
title_sort fiber optic nerve sensing system for landslide monitoring technology and application
topic fiber optic nerve
landslide hazard
evolutionary process
multi-field monitoring
fiber optic sensing
ultra-weak fiber bragg grating
url https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240422
work_keys_str_mv AT ningma fiberopticnervesensingsystemforlandslidemonitoringtechnologyandapplication
AT shaokaili fiberopticnervesensingsystemforlandslidemonitoringtechnologyandapplication
AT fengtian fiberopticnervesensingsystemforlandslidemonitoringtechnologyandapplication
AT xiaoye fiberopticnervesensingsystemforlandslidemonitoringtechnologyandapplication
AT honghuzhu fiberopticnervesensingsystemforlandslidemonitoringtechnologyandapplication