Temperature compensation method for static level monitoring system and its application
Purpose This study solves the key problem that the static level monitoring is susceptible to temperature interference and affects the accuracy in slope instability/deformation monitoring. The purpose is to develop a reliable temperature compensation method for the system, improve the accuracy of slope stability monitoring and provide support for improving the safety and safety monitoring of engineering spoil slope and other projects. Design/methodology/approach Combined with theoretical analysis and experimental verification, the temperature compensation method is explored. The working principle of the hydrostatic leveling monitoring system is analyzed and the data processing formula, the temperature error calculation formula and the calculation formula for eliminating the error settlement value are derived. The temperature compensation method is established and verified by the field test of the engineering spoil slope which is disturbed by a debris flow. Findings The experimental results show that this method can reduce the error of the static level monitoring system by about 40 %. The field test shows that the fluctuation of slope settlement monitoring value is reduced after temperature compensation and the monitoring value is consistent with the actual situation, which has certain practicability. Originality/value The originality of this study is to derive a theoretical formula for quantifying/eliminating temperature errors in static leveling and to establish a practical temperature compensation method. The accuracy of the system is improved, which provides a reference for slope stability monitoring under complex environment (especially railway geotechnical engineering) and promotes the development of precision monitoring technology.
Authors
- Jialiang Liu (ORCID: https://orcid.org/0000-0003-2378-5456)
- Yanliang Li (ORCID: https://orcid.org/0009-0005-3263-0087)
- Tianhui Ma (ORCID: https://orcid.org/0000-0003-3693-3104)
- Guanwen Cheng (ORCID: https://orcid.org/0000-0003-2577-4670)
- Mingyu Lei (ORCID: https://orcid.org/0000-0002-1583-0491)
- Dingzhu Liu (ORCID: https://orcid.org/0000-0001-5071-785X)
- Dian Xiao (ORCID: https://orcid.org/0000-0002-7040-4057)
- Fei Lv (ORCID: https://orcid.org/0000-0002-4226-7104)
- Qing Yang (ORCID: https://orcid.org/0009-0002-8015-1978)
- Lianchong Li (ORCID: https://orcid.org/0000-0001-9235-0101)
- Jisheng Sui
Institutions
- Northeastern University (US)
- Dalian University of Technology (CN)
- PowerChina (China) (CN)
- China Railway Group (China) (CN)
- China Academy of Railway Sciences (CN)
- GFZ Helmholtz Centre for Geosciences (DE)
- Northeastern University (CN)
Publication Details
- Journal
- Railway Sciences
- Published
- 2025-08-13
- DOI
- https://doi.org/10.1108/rs-06-2025-0021
- Primary Topic
- Structural Health Monitoring Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00