• Journal of Radiation Research and Radiation Processing
  • Vol. 42, Issue 1, 010601 (2024)
Zhaojin LUO1, Chengfeng LIU1, Wenbao JIA1、2, Qing SHAN1, Chao SHI1, Jiandong ZHANG1, Daqian HEI3, Xiaojun ZHANG4, and Yongsheng LING1、2、*
Author Affiliations
  • 1Institute of Nuclear Analysis Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • 2Jiangsu University Collaborative Innovation Center for Radiation Medicine, Suzhou 215031, China
  • 3College of Nuclear Science and Technology, Lanzhou University, Nanjing 211106, China
  • 4Suzhou Guanrui Information Technology Co., Ltd., Suzhou 215008, China
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    DOI: 10.11889/j.1000-3436.2023-0093 Cite this Article
    Zhaojin LUO, Chengfeng LIU, Wenbao JIA, Qing SHAN, Chao SHI, Jiandong ZHANG, Daqian HEI, Xiaojun ZHANG, Yongsheng LING. Complete coverage path planning of nuclear radiation field using bio-inspired neural network[J]. Journal of Radiation Research and Radiation Processing, 2024, 42(1): 010601 Copy Citation Text show less
    Map of obstacles to a hypothetical nuclear accident site: (a) reference terrain of the Fukushima Nuclear Power Plant; (b) simulated raster map (color online)
    Fig. 1. Map of obstacles to a hypothetical nuclear accident site: (a) reference terrain of the Fukushima Nuclear Power Plant; (b) simulated raster map (color online)
    Normalized radiation dose field calculated by Monte Carlo simulation (color online)
    Fig. 2. Normalized radiation dose field calculated by Monte Carlo simulation (color online)
    Diagram of lateral connections of neurons
    Fig. 3. Diagram of lateral connections of neurons
    Eight bit movement diagram
    Fig. 4. Eight bit movement diagram
    Flow chart of unit decomposition method
    Fig. 5. Flow chart of unit decomposition method
    Cover times map (color online)
    Fig. 6. Cover times map (color online)
    Real-time dose metrics variation chart: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart
    Fig. 7. Real-time dose metrics variation chart: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart
    Mobile unit path graph (color online)
    Fig. 8. Mobile unit path graph (color online)
    Cow-tillage partition diagram
    Fig. 9. Cow-tillage partition diagram
    Arch overlay strategy diagram
    Fig. 10. Arch overlay strategy diagram
    Flowchart of the algorithm for adding cumulative dose monitoring
    Fig. 11. Flowchart of the algorithm for adding cumulative dose monitoring
    Cover times diagram of 4 units simulation(color online)
    Fig. 12. Cover times diagram of 4 units simulation(color online)
    Real-time dose metrics variation chart of 4 units simulation: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart (color online)
    Fig. 13. Real-time dose metrics variation chart of 4 units simulation: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart (color online)
    Path diagram of 4 units simulation (color online)
    Fig. 14. Path diagram of 4 units simulation (color online)
    Cover times diagram of 8 units simulation(color online)
    Fig. 15. Cover times diagram of 8 units simulation(color online)
    Real-time dose metrics variation chart of 8 units simulation: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart (color online)
    Fig. 16. Real-time dose metrics variation chart of 8 units simulation: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart (color online)
    Path diagram of 8 units simulation (color online)
    Fig. 17. Path diagram of 8 units simulation (color online)

    元素

    Chemical element

    质量比

    Mass ratio

    混凝土

    Concrete

    H0.65
    O49.83
    Na1.71
    Mg0.24
    Al4.54
    Si31.50
    S0.12
    K1.92
    Ca8.25
    Fe1.22

    空气

    Air

    N0.76
    O0.23
    Ar0.01
    Table 1. Material element composition

    能量 / MeV

    Energy

    归一化后的

    比例分布 / %

    Normalized proportional

    distribution

    0.049 727.259 3
    0.228 1742.588 0
    0.284 301.082 6
    0.328 760.103 8
    0.364 4814.505 7
    0.487 020.232 6
    0.636 981.296 9
    0.652 923.669 7
    0.662 002.416 0
    0.749 8110.871 6
    0.815 770.119 0
    1.024 6115.367 0
    1.596 200.487 7
    Table 2. Radioactive source gamma ray energy composition

    完成全覆盖步数

    Complete the full coverage steps

    时间 / s

    Time

    重复率 / %

    Repetition rate

    累积剂量 / mSv

    Cumulative dose

    生物启发神经网络

    Biologically inspired neural networks

    3641 8204.000.004 11

    单元分解法

    Unit decomposition method

    4992 49542.570.005 80
    Table 3. The evaluation index comparison of a unit full coverage simulation test

    完成全覆盖总步数

    Complete the full coverage steps

    时间 / s

    Time

    重复率 / %

    Repetition rate

    所有单元的总剂量

    / mSv

    Total dose for all units

    单体最大累积剂量 / mSv

    Monomer maximum cumulative dose

    1单元仿真

    1 cell simulation

    3641 8204.000.004 110.004 11

    4单元仿真

    4 cells simulation

    3705405.710.004 340.0012 77

    8单元仿真

    8 cells simulation

    3722406.290.004 240.0008 45
    Table 4. Comparison of simulation test results
    Zhaojin LUO, Chengfeng LIU, Wenbao JIA, Qing SHAN, Chao SHI, Jiandong ZHANG, Daqian HEI, Xiaojun ZHANG, Yongsheng LING. Complete coverage path planning of nuclear radiation field using bio-inspired neural network[J]. Journal of Radiation Research and Radiation Processing, 2024, 42(1): 010601
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