Acta Photonica Sinica, Volume. 52, Issue 2, 0211004(2023)

Structural Form Sensing Technology Based on Multi-source System Fusion

Jing SUN, Xuezhu LIN*, Lili GUO, Yue LIU, Dongming YAN, and Lijuan LI
Author Affiliations
  • College of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022,China
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    Figures & Tables(19)
    Illustration of the information perception framework of multi-source system fusion
    Unity diagram of multi-station coordinates of multi-source system
    Diagram of spatial point coordinate derivation based on curvature information
    Simulation process
    Common points distribution diagram
    Error simulation diagram before and after data fusion of unified common points with multi-station coordinates
    Fusion prediction point cloud diagram
    Comparison of simulation results of shape variables under different loads
    Simulation diagram of skin surface deformation.
    Schematic diagram of multi-source system fusion measurement
    Experiment site diagram
    Global coordinate space point calibration diagram
    RMS error comparison
    Comparison of deformation deviation between fusion predicted point cloud and actual point cloud under different loads
    • Table 1. Comparison of errors before and after fusion of common points in transfer stations

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      Table 1. Comparison of errors before and after fusion of common points in transfer stations

      PointPre-fusionPost-fusion
      σx/mmσy/mmσz/mmσp/mmσx/mmσy/mmσz/mmσp/mm
      Q1-0.0410.027-0.0320.058-0.0240.016-0.0310.042
      Q20.003-0.0310.0270.0410.001-0.0260.0010.026
      Q30.0310.056-0.0430.0770.0220.026-0.0070.035
      Q4-0.0560.061-0.0380.091-0.0300.033-0.0170.047
      Q5-0.027-0.0950.0420.1070.003-0.056-0.0140.058
      Q6-0.103-0.006-0.0470.1130.0470.0030.0420.062
    • Table 2. Deformation error analysis results at 20 N

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      Table 2. Deformation error analysis results at 20 N

      PointANSYS/mmActual deformation value/mmMethodsDeformation value/mm

      Absolute error

      Δ/mm

      Relative error

      γ/%

      a0.0350.042Interpolation0.0460.0049.52
      Fusion0.0410.0012.38
      b0.0530.062Interpolation0.0650.0034.84
      Fusion0.0600.0023.23
      c0.0640.075Interpolation0.0810.0068.00
      Fusion0.0760.0011.33
      d0.0720.081Interpolation0.0740.0078.64
      Fusion0.0770.0044.94
    • Table 3. Deformation error analysis results at 50 N

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      Table 3. Deformation error analysis results at 50 N

      PointANSYS/mmActual deformation value/mmMethodsDeformation value/mm

      Absolute error

      Δ/mm

      Relative error

      γ/%

      a0.0580.067Interpolation0.0730.0068.96
      Fusion0.0640.0034.48
      b0.0720.077Interpolation0.0810.0045.19
      Fusion0.0790.0022.60
      c0.1430.158Interpolation0.1730.0159.49
      Fusion0.1670.0095.70
      d0.1810.198Interpolation0.1830.0157.58
      Fusion0.1860.0126.06
    • Table 4. Deformation error analysis results at 80 N

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      Table 4. Deformation error analysis results at 80 N

      PointANSYS/mmActual deformation value/mmMethodsDeformation value/mm

      Absolute error

      Δ/mm

      Relative error

      γ/%

      a0.1000.132Interpolation0.1270.0053.79
      Fusion0.1240.0086.06
      b0.1570.150Interpolation0.1390.0117.33
      Fusion0.1450.0053.33
      c0.2070.173Interpolation0.1900.0179.83
      Fusion0.1840.0116.36
      d0.2810.231Interpolation0.2060.02510.82
      Fusion0.2180.0135.63
    • Table 5. Deformation error analysis results at 100 N

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      Table 5. Deformation error analysis results at 100 N

      PointANSYS/mmActual deformation value/mmMethodsDeformation value/mm

      Absolute error

      Δ/mm

      Relative error

      γ/%

      a0.1430.164Interpolation0.1800.0169.76
      Fusion0.1750.0116.71
      b0.1980.178Interpolation0.1920.0147.87
      Fusion0.1880.0105.62
      c0.2710.262Interpolation0.2400.0228.40
      Fusion0.2780.0166.11
      d0.3280.302Interpolation0.2760.0268.61
      Fusion0.2900.0123.97
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    Jing SUN, Xuezhu LIN, Lili GUO, Yue LIU, Dongming YAN, Lijuan LI. Structural Form Sensing Technology Based on Multi-source System Fusion[J]. Acta Photonica Sinica, 2023, 52(2): 0211004

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    Paper Information

    Category:

    Received: Aug. 26, 2022

    Accepted: Nov. 1, 2022

    Published Online: Mar. 28, 2023

    The Author Email: Xuezhu LIN (custsnow@163.com)

    DOI:10.3788/gzxb20235202.0211004

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