Big data acquisition for underground infrastructure condition assessment DOI Creative Commons
Chao Wang,

Zhipeng Xiao,

Yixian Wang

et al.

Data-Centric Engineering, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Abstract The condition assessment of underground infrastructure (UI) is critical for maintaining the safety, functionality, and longevity subsurface assets like tunnels pipelines. This article reviews various data acquisition techniques, comparing their strengths limitations in UI assessment. In collecting structured data, traditional methods strain gauge can only obtain relatively low volumes due to sampling frequency, manual collection, transmission, whereas more advanced automatic distributed fiber optic sensing gather larger continuous sampling, or comprehensive monitoring. Upon comparison, unstructured provide detailed visual information that complements data. Methods closed-circuit television unmanned aerial vehicle produce large video recording high-resolution imaging, posing great challenges storage, processing, while ground penetration radar infrared thermography smaller image are manageable. first step its To enable efficient, accurate, reliable assessment, it recommended (1) integrate analytics artificial intelligence automate analysis interpretation collected (2) develop robust big management platforms capable handling processing analysis, (3) couple different technologies leverage each technique, (4) continuously improve ensure efficient acquisition.

Language: Английский

Spatial monitoring of curved geostructures using distributed Brillouin sensing: a state-of-the-art review DOI Creative Commons

Shaoqiu Zhang,

Chao Wang,

Cleitus Antony

et al.

Intelligent geoengineering., Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook DOI Creative Commons
Huamei Zhu, Mengqi Huang, Pei-Qi Ji

et al.

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 161, P. 106508 - 106508

Published: March 6, 2025

Language: Английский

Citations

0
Investigation of Prestress Loss in Anchor Cables and Adaptive Construction Scheme for Soft Rock Tunnelling DOI

Chuanyang Peng,

Chao Wang, Zili Li

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Big data acquisition for underground infrastructure condition assessment DOI Creative Commons
Chao Wang,

Zhipeng Xiao,

Yixian Wang

et al.

Data-Centric Engineering, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Abstract The condition assessment of underground infrastructure (UI) is critical for maintaining the safety, functionality, and longevity subsurface assets like tunnels pipelines. This article reviews various data acquisition techniques, comparing their strengths limitations in UI assessment. In collecting structured data, traditional methods strain gauge can only obtain relatively low volumes due to sampling frequency, manual collection, transmission, whereas more advanced automatic distributed fiber optic sensing gather larger continuous sampling, or comprehensive monitoring. Upon comparison, unstructured provide detailed visual information that complements data. Methods closed-circuit television unmanned aerial vehicle produce large video recording high-resolution imaging, posing great challenges storage, processing, while ground penetration radar infrared thermography smaller image are manageable. first step its To enable efficient, accurate, reliable assessment, it recommended (1) integrate analytics artificial intelligence automate analysis interpretation collected (2) develop robust big management platforms capable handling processing analysis, (3) couple different technologies leverage each technique, (4) continuously improve ensure efficient acquisition.

Language: Английский

Citations

0