Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring

Author:

Cheng Gang1234,Wang Zhenxue1,Wang Ye1,Shi Bin2,Li Tianbin4,Wu Jinghong5ORCID,Zhang Haoyu1,You Qinliang1

Affiliation:

1. School of Computer Science, North China Institute of Science and Technology, Beijing 101601, China

2. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China

3. Nanjing University High-Tech Institute at Suzhou, Suzhou 215123, China

4. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

5. School of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011, China

Abstract

In recent years, with the superposition of extreme climate, earthquakes, engineering disturbance and other effects, global landslide disasters occur frequently. Due to reservoir landslides being mostly in a multi-field coupling environment, the temperature field will impact the deformation and seepage fields, thereby affecting the stability of the reservoir landslide. The variation in the landslide’s surface temperature also directly affects the stress and deformation of deep rock masses. If hidden dangers are not detected in time, and corresponding measures are implemented, it is easy to cause landslide instability. In order to clarify the temperature measurement performance of different optic-electric sensors and the application characteristics of layout techniques, laboratory calibration tests of temperature sensors under different adhesives and attachment materials are carried out in this paper. It was found that the test data of the iron bar had the best effect among the four attachment materials overall. Therefore, the bar with a high-stiffness material should be preferred when selecting a pipe fitting as the fiber Bragg grating (FBG) temperature attachment in the borehole. However, considering the high requirements for the durability of sensors and layout techniques in on-site monitoring, the long-term stability of the adhesives used in actual monitoring needs to be improved. At the same time, it was found that the platinum 100 (PT100) temperature sensor has relatively higher testing accuracy (A: 0.15 + 0.002 × |t|; B: 0.30 + 0.005 × |t|), a larger temperature measurement range (−200~+850 °C) and better temperature measurement stability when compared to conventional sensors. Moreover, its resistance value has a good linear relationship with temperature. Finally, the Xinpu landslide in the Three Gorges Reservoir area was selected as the research object for on-site monitoring. There was a high correlation between the on-site monitoring results with the laboratory calibration test results. Therefore, through the performance test of optic-electric sensors in reservoir landslide temperature fields, more accurate solutions can be provided for selecting sensors and designing layout techniques to monitor the underground temperature field of landslides under different geological conditions. Thereby, grasping the real-time state information of the reservoir landslide temperature field is achieved accurately, providing an important reference for early warning, prediction, prevention and the control of reservoir landslide disasters.

Funder

Natural Science Foundation of Hebei Province, China

Central Government Guided Local Science and Technology Development Fund

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

Suzhou Science and Technology Plan Project

National Key Research and Development Program of China

Hebei IoT Monitoring Engineering Technology Innovation Center

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference56 articles.

1. Assessing global parameters of slope stability model using earth data observations for forecasting rainfall—Induced shallow landslides;Thomas;J. Appl. Geophys.,2023

2. Seasonality of precipitation over China;Yao;Chin. J. Atmos. Sci.,2017

3. Process and prospect of integrated full-dimensional monitoring and early warming technology for landslides;Cheng;China Saf. Sci. J.,2023

4. Landslide prediction, monitoring and early warning: A concise review of state–of–the–art;Chae;Geosci. J.,2017

5. Monitoring strategies for local landslide early warning systems;Pecoraro;Landslides,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3