Monitoring Scheme of Liquified Natural Gas External Tank Using Air–Space–Land Integration Multisource Remote Sensing

Ming GUO, Xingyu TANG, Youshan ZHAO*, Yang LIU, Zhaorui CHEN, Li ZHU, Kecai GUO

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Liquefied natural gas (LNG) storage tanks are an essential infrastructure for national energy security, and the monitoring of their integrity is the basis for ensuring the regular operation of storage tanks. Existing monitoring methods do not reflect changes in storage tanks well because most monitoring methods are based on a technical approach that allows only one type of monitoring data to be obtained, which does not give comprehensive monitoring results. In this study, we incorporate control measurements, light detection and ranging (LiDAR), unmanned aerial vehicle (UAV) photogrammetry, thermal infrared camera monitoring, interferometric synthetic aperture radar (InSAR), and other techniques. An integrated air–space–land multisource remote sensing monitoring scheme is proposed, and the scheme’s feasibility is verified through actual measurements, providing strong support for subsequent, efficient, and all-around monitoring.

Original languageEnglish
Pages (from-to)373-392
Number of pages20
JournalSensors and Materials
Volume36
Issue number2
Early online date6 Feb 2024
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© MYU K.K.

Funding

This research was supported by the Research Fund of CABR Testing Center Company (20220126977130008), Research Fund of China Academy of Building Sciences Company (20220112330730019), National Key RD Program of China (2022YFF0904400, 2021YFF0602005-03), National Natural Science Foundation of China (41971350, 42171416), Teacher Support Program for Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture (JDJQ20200307), and Categorical Development Quota Project - Master's Degree Innovation Project (2023) (PG2023117).

Keywords

  • crack identification
  • InSAR technology
  • LiDAR technology
  • program design
  • UAV photogrammetry

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