激光与光电子学进展, 2019, 56 (5): 052802, 网络出版: 2019-07-31 复制并引用该论文  本文已被引 3 次  被引通知

图 & 表

图 1. 所提算法框架

Fig. 1. Framework of proposed algorithm

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图 2. 自适应构件模型设计流程图

Fig. 2. Flow chart of adaptive component model design

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图 3. 自适应构件模型。(a)直肋板点云俯视断面;(b)定义自适应起、止点;(c)绘制构件子单元形体剖面;(d)子单元构件形体

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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图 4. 普通构件模型设计流程图

Fig. 4. Flow chart of common component model design

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图 5. 实时倾斜状态下液货示意图。(a)船舱实时倾斜状态; (b)仿真倾斜液面

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

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图 6. 实时液货体积计算算法框架

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

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图 7. 实验舱影像

Fig. 7. Images of experimental tank

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图 8. 船舱点云分割结果。(a)舱壁点云;(b)构件点云

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

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图 9. 船舱建模结果。(a)舱壁模型;(b)构件模型

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

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图 10. 实时液货仿真及计算。(a)舱壁模型实时姿态;(b)构件模型实时姿态;(c)液面下舱壁模型;(d)液面下构件模型

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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图 11. 模型精度计算感兴趣区。(a)渐变肋板;(b)框架;(c)加固支架

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

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图 12. 舱容相对误差

Fig. 12. Relative error of tank capacity

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表 1构件体积

Table1. Component volume

Component specie Component volume /m3 Bulkhead longitudinal stiffener 30.784 Deck longitudinal stiffener 40.012 Vertical stiffener 8.023 Vertical floor 10.866 Gradually changing floor 7.157 Beam 23.627 Horizontal frame 22.621 Vertical frame 7.140 Railing 1.270 Armrest frame 0.221 Ladder 2.571 Working platform 1.072 Pipe 5.474 Pipe supports 0.233 Strengthening bracket 23.062

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表 2实时液货体积(船舱状态:纵倾1°、横倾2°)

Table2. Real-time liquid cargo volume (tank posture: vertical inclination 1°, horizontal inclination 2°)

Empty height /m Cargo volume /m3 Empty volume /m3 Empty height /m Cargo volume /m3 Empty volume /m3 17.500 1362.823 12046.744 11.000 5266.818 8142.749 17.000 1615.347 11794.220 10.500 5612.842 7796.725 16.500 1875.627 11533.940 10.000 5966.487 7443.08 16.000 2140.307 11269.260 9.500 6323.418 7086.149 15.500 2415.856 10993.711 9.000 6683.34 6726.227 15.000 2702.177 10707.390 8.500 7045.526 6364.041 14.500 2996.880 10412.687 8.000 7409.16 6000.407 14.000 3299.669 10109.898 7.500 7773.986 5635.581 13.500 3611.078 9798.489 7.000 8138.726 5270.841 13.000 3930.173 9479.394 6.500 8503.695 4905.872 12.500 4256.682 9152.885 6.000 8868.325 4541.242 12.000 4589.720 8819.847 5.500 9228.534 4181.033 11.500 4927.113 8482.454 5.000 9587.491 3822.076

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表 3模型准确度计算结果

Table3. Calculation results of model accuracy

Analysisarea Maximumdeviation /mm Minimumdeviation /mm Averagedeviation /mm <1 mm deviationproportion /% 1 3.5 0.5 0.9 95 2 5.0 0.7 1.0 93 3 2.5 0.4 0.8 96 4 2.4 0.5 0.8 95 5 1.8 0.4 1.0 93 6 2.0 1.0 1.1 92 7 3.4 0.5 0.7 97 8 2.5 0.4 0.8 95 9 1.8 0.4 0.6 97 10 1.2 0.4 0.8 95 11 1.5 0.5 0.7 95 12 1.8 0.8 1.2 92 13 1.5 0.6 0.8 96 14 1.3 0.6 0.7 97 15 1.8 0.4 0.9 93 16 2.2 0.5 0.8 96 17 2.5 0.4 0.6 98 18 1.5 0.5 0.7 96 19 1.8 0.5 0.7 96 20 2.0 0.4 0.8 97

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邬镇伦, 程效军, 辛佩康, 张立朔, 胡敏捷. 基于激光点云与建筑信息模型技术的复杂船舱容积计算方法[J]. 激光与光电子学进展, 2019, 56(5): 052802. 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.