Journal of Applied Optics, Volume. 46, Issue 4, 895(2025)

Research on suspension wire type high-precision photoelectric inclination sensor for automatic monitoring of arch dam deformation

Dan LIU1、*, Mengdi YAO2, Xiangqian LI3, Yicheng SHI2, Kai QU4, Chuan LI4, Dongliang WEI1, Qing YANG1, and Yi LI1
Author Affiliations
  • 1College of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
  • 2China Three Gorges Construction (Group) Co.,Ltd., Chengdu 610000, China
  • 3Changjiang Three Gorges Group Co.,Ltd., Wuhan 430010, China
  • 4Shenyang University of Technology, Shenyang 110870, China
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    In response to the measurement requirements of a large-scale arch dam chain 3D deformation measurement system, the technical specifications for inclination angle sensors were determined. A high-precision photoelectric inclination sensor scheme based on suspension wire was studied, which used incoherent collimated beams to form a measurement light field. The shadow spot of the suspension wire was amplified by an optical system to form a clear image and projected onto a linear charge coupled device (CCD). Based on the principle of spot position measurement, the displacement value of the shadow spot was obtained, and the tilt angle value of the measurement point was calculated in reverse. At the same time, in response to the long-term on-site operation requirements, a two-dimensional high-precision photoelectric inclination sensor structure was designed. Test results show that the resolution and range indicators meet the design requirements, achieving high-precision inclination measurement with a range of 3 093 seconds and an accuracy of 0.432 seconds.

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    Dan LIU, Mengdi YAO, Xiangqian LI, Yicheng SHI, Kai QU, Chuan LI, Dongliang WEI, Qing YANG, Yi LI. Research on suspension wire type high-precision photoelectric inclination sensor for automatic monitoring of arch dam deformation[J]. Journal of Applied Optics, 2025, 46(4): 895

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    Paper Information

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    Received: May. 23, 2024

    Accepted: --

    Published Online: Sep. 16, 2025

    The Author Email: Dan LIU (liudan1978@mail.xjtu.edu.cn)

    DOI:10.5768/JAO202546.0405001

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