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Laser & Optoelectronics Progress, Volume. 56, Issue 5, 052802(2019)

Calculation Method of Complex Tank Capacity Based on Laser Point Cloud and Building Information Modeling Technology

Zhenlun Wu1、*, Xiaojun Cheng1,2, Peikang Xin3, Lishuo Zhang1, and Minjie Hu4
Author Affiliations
  • 1 College of Surveying and Geo-Information, Tongji University, Shanghai 200092, China
  • 2 Key Laboratory of Advanced Engineering Surveying of National Administration of Surveying, Mapping and Geoinformation, Tongji University, Shanghai 200092, China
  • 3 Shanghai Construction No.4 (Group) Co. LTD, Shanghai 201103, China
  • 4 Shanghai Merchant Ship Design and Research Institute, Shanghai 201203, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (15)
    Equations (0)
    References (16)
    Cited By (3)
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    Figures & Tables(15)
    Framework of proposed algorithm

    Fig. 1. Framework of proposed algorithm

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    Flow chart of adaptive component model design

    Fig. 2. Flow chart of adaptive component model design

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    Adaptive component model. (a) Vertical view of vertical floor point cloud; (b) defining adaptive starting and ending points; (c) drawing component subunit shape profile; (d) subunit component shape

    Fig. 3. Adaptive component model. (a) Vertical view of vertical floor point cloud; (b) defining adaptive starting and ending points; (c) drawing component subunit shape profile; (d) subunit component shape

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    Flow chart of common component model design

    Fig. 4. Flow chart of common component model design

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    Schematic of real-time tilted tilted liquid cargo. (a) Real-time tilted tank; (b) simulated liquid cargo

    Fig. 5. Schematic of real-time tilted tilted liquid cargo. (a) Real-time tilted tank; (b) simulated liquid cargo

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    Framework of algorithm for calculating real-time liquid cargo volume

    Fig. 6. Framework of algorithm for calculating real-time liquid cargo volume

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    Images of experimental tank

    Fig. 7. Images of experimental tank

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    Point cloud segmentation results of tank. (a) Point cloud of bulkhead; (b) point cloud of component

    Fig. 8. Point cloud segmentation results of tank. (a) Point cloud of bulkhead; (b) point cloud of component

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    Modeling results of tank. (a) Model of bulkhead; (b) model of component

    Fig. 9. Modeling results of tank. (a) Model of bulkhead; (b) model of component

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    Simulation and calculation of real-time liquid cargo. (a) Real-time attitude of bulkhead model; (b) real-time attitude of component model; (c) model of lower bulkhead; (d) model of lower component

    Fig. 10. Simulation and calculation of real-time liquid cargo. (a) Real-time attitude of bulkhead model; (b) real-time attitude of component model; (c) model of lower bulkhead; (d) model of lower component

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    Areas of model accuracy calculation. (a) Gradually changing floor; (b) frame; (c) strengthening bracket

    Fig. 11. Areas of model accuracy calculation. (a) Gradually changing floor; (b) frame; (c) strengthening bracket

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    Relative error of tank capacity

    Fig. 12. Relative error of tank capacity

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    • Table 1. Component volume

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      Table 1. Component volume

      Component specieComponent volume /m3
      Bulkhead longitudinal stiffener30.784
      Deck longitudinal stiffener40.012
      Vertical stiffener8.023
      Vertical floor10.866
      Gradually changing floor7.157
      Beam23.627
      Horizontal frame22.621
      Vertical frame7.140
      Railing1.270
      Armrest frame0.221
      Ladder2.571
      Working platform1.072
      Pipe5.474
      Pipe supports0.233
      Strengthening bracket23.062

    • Table 2. Real-time liquid cargo volume (tank posture: vertical inclination 1°, horizontal inclination 2°)

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      Table 2. Real-time liquid cargo volume (tank posture: vertical inclination 1°, horizontal inclination 2°)

      Empty height /mCargo volume /m3Empty volume /m3Empty height /mCargo volume /m3Empty volume /m3
      17.5001362.82312046.74411.0005266.8188142.749
      17.0001615.34711794.22010.5005612.8427796.725
      16.5001875.62711533.94010.0005966.4877443.08
      16.0002140.30711269.2609.5006323.4187086.149
      15.5002415.85610993.7119.0006683.346726.227
      15.0002702.17710707.3908.5007045.5266364.041
      14.5002996.88010412.6878.0007409.166000.407
      14.0003299.66910109.8987.5007773.9865635.581
      13.5003611.0789798.4897.0008138.7265270.841
      13.0003930.1739479.3946.5008503.6954905.872
      12.5004256.6829152.8856.0008868.3254541.242
      12.0004589.7208819.8475.5009228.5344181.033
      11.5004927.1138482.4545.0009587.4913822.076

    • Table 3. Calculation results of model accuracy

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      Table 3. Calculation results of model accuracy

      AnalysisareaMaximumdeviation /mmMinimumdeviation /mmAveragedeviation /mm<1 mm deviationproportion /%
      13.50.50.995
      25.00.71.093
      32.50.40.896
      42.40.50.895
      51.80.41.093
      62.01.01.192
      73.40.50.797
      82.50.40.895
      91.80.40.697
      101.20.40.895
      111.50.50.795
      121.80.81.292
      131.50.60.896
      141.30.60.797
      151.80.40.993
      162.20.50.896
      172.50.40.698
      181.50.50.796
      191.80.50.796
      202.00.40.897
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    Zhenlun Wu, Xiaojun Cheng, Peikang Xin, Lishuo Zhang, Minjie Hu. Calculation Method of Complex Tank Capacity Based on Laser Point Cloud and Building Information Modeling Technology[J]. Laser & Optoelectronics Progress, 2019, 56(5): 052802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 10, 2018

    Accepted: Sep. 18, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Zhenlun Wu (550478959@qq.com)

    DOI:10.3788/LOP56.052802

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology