<p>Strain is a critical parameter in the structural health monitoring of transmission towers, reflecting their mechanical performance. However, long-term, real-time strain monitoring remains challenging due to high costs. This study introduces a novel strain sensor based on micro-image strain sensing (MISS), which integrates an industrial camera module (ICM) with a slider strain sensing mechanism (SSSM). Laboratory displacement loading experiments compared the MISS sensor with Fiber Bragg Grating (FBG) data, showing a maximum mean absolute error of <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13349_2025_933_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="61" /> </InlineMediaObject> <EquationSource Format="TEX">\(11.87 \, \mu \varepsilon\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>11.87</mn> <mspace width="0.166667em" /> <mi>μ</mi> <mi>ε</mi> </mrow> </math></EquationSource> </InlineEquation>. To further validate the practical performance of the MISS sensor, two MISS sensors were installed on the main members of an in-service transmission tower for 8&#xa0;months. The results reveal significant 24-h cyclic strain variations, with maximum daily strain variations of <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13349_2025_933_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="69" /> </InlineMediaObject> <EquationSource Format="TEX">\(219.06 \, \mu \varepsilon\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>219.06</mn> <mspace width="0.166667em" /> <mi>μ</mi> <mi>ε</mi> </mrow> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13349_2025_933_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="69" /> </InlineMediaObject> <EquationSource Format="TEX">\(251.88 \, \mu \varepsilon\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>251.88</mn> <mspace width="0.166667em" /> <mi>μ</mi> <mi>ε</mi> </mrow> </math></EquationSource> </InlineEquation>, respectively.</p>

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Vision-based transmission tower strain monitoring using industrial camera module and slider strain sensing mechanism

  • Bo Lu,
  • Zhihao Yang,
  • Mingwei Ding,
  • Jun Ma,
  • Dong Sun,
  • Weijie Li,
  • Xuefeng Zhao

摘要

Strain is a critical parameter in the structural health monitoring of transmission towers, reflecting their mechanical performance. However, long-term, real-time strain monitoring remains challenging due to high costs. This study introduces a novel strain sensor based on micro-image strain sensing (MISS), which integrates an industrial camera module (ICM) with a slider strain sensing mechanism (SSSM). Laboratory displacement loading experiments compared the MISS sensor with Fiber Bragg Grating (FBG) data, showing a maximum mean absolute error of \(11.87 \, \mu \varepsilon\) 11.87 μ ε . To further validate the practical performance of the MISS sensor, two MISS sensors were installed on the main members of an in-service transmission tower for 8 months. The results reveal significant 24-h cyclic strain variations, with maximum daily strain variations of \(219.06 \, \mu \varepsilon\) 219.06 μ ε and \(251.88 \, \mu \varepsilon\) 251.88 μ ε , respectively.