Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring
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 seepa...
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MDPI AG
2023-08-01
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author | Gang Cheng Zhenxue Wang Ye Wang Bin Shi Tianbin Li Jinghong Wu Haoyu Zhang Qinliang You |
author_facet | Gang Cheng Zhenxue Wang Ye Wang Bin Shi Tianbin Li Jinghong Wu Haoyu Zhang Qinliang You |
author_sort | Gang Cheng |
collection | DOAJ |
description | 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. |
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publishDate | 2023-08-01 |
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spelling | doaj.art-e0854b431ed445849abe6fb07eba4f562023-11-19T09:02:35ZengMDPI AGWater2073-44412023-08-011517312510.3390/w15173125Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field MonitoringGang Cheng0Zhenxue Wang1Ye Wang2Bin Shi3Tianbin Li4Jinghong Wu5Haoyu Zhang6Qinliang You7School of Computer Science, North China Institute of Science and Technology, Beijing 101601, ChinaSchool of Computer Science, North China Institute of Science and Technology, Beijing 101601, ChinaSchool of Computer Science, North China Institute of Science and Technology, Beijing 101601, ChinaSchool of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaSchool of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011, ChinaSchool of Computer Science, North China Institute of Science and Technology, Beijing 101601, ChinaSchool of Computer Science, North China Institute of Science and Technology, Beijing 101601, ChinaIn 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.https://www.mdpi.com/2073-4441/15/17/3125optic-electric sensorsperformance testreservoir landslidetemperature field monitoring |
spellingShingle | Gang Cheng Zhenxue Wang Ye Wang Bin Shi Tianbin Li Jinghong Wu Haoyu Zhang Qinliang You Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring Water optic-electric sensors performance test reservoir landslide temperature field monitoring |
title | Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring |
title_full | Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring |
title_fullStr | Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring |
title_full_unstemmed | Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring |
title_short | Research on Performance Test of the Optic-Electric Sensors for Reservoir Landslide Temperature Field Monitoring |
title_sort | research on performance test of the optic electric sensors for reservoir landslide temperature field monitoring |
topic | optic-electric sensors performance test reservoir landslide temperature field monitoring |
url | https://www.mdpi.com/2073-4441/15/17/3125 |
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