Researching | Complete coverage path planning of nuclear radiation field using bio-inspired neural network

Journals >Journal of Radiation Research and Radiation Processing >Volume 42 >Issue 1 >Page 010601 > Article

Journal of Radiation Research and Radiation Processing
Vol. 42, Issue 1, 010601 (2024)

Complete coverage path planning of nuclear radiation field using bio-inspired neural network

Zhaojin LUO¹, Chengfeng LIU¹, Wenbao JIA^1,2, Qing SHAN¹..., Chao SHI¹, Jiandong ZHANG¹, Daqian HEI³, Xiaojun ZHANG⁴ and Yongsheng LING^1,2,*|Show fewer author(s)

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

show less

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)

Download full size | View in the Article

Normalized radiation dose field calculated by Monte Carlo simulation (color online)

Fig. 2. Normalized radiation dose field calculated by Monte Carlo simulation (color online)

Download full size | View in the Article

Fig. 3. Diagram of lateral connections of neurons

Download full size | View in the Article

Fig. 4. Eight bit movement diagram

Download full size | View in the Article

Fig. 5. Flow chart of unit decomposition method

Download full size | View in the Article

Fig. 6. Cover times map (color online)

Download full size | View in the Article

Fig. 7. Real-time dose metrics variation chart: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart

Download full size | View in the Article

Fig. 8. Mobile unit path graph (color online)

Download full size | View in the Article

Fig. 9. Cow-tillage partition diagram

Download full size | View in the Article

Fig. 10. Arch overlay strategy diagram

Download full size | View in the Article

Fig. 11. Flowchart of the algorithm for adding cumulative dose monitoring

Download full size | View in the Article

Fig. 12. Cover times diagram of 4 units simulation(color online)

Download full size | View in the Article

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)

Download full size | View in the Article

Fig. 14. Path diagram of 4 units simulation (color online)

Download full size | View in the Article

Fig. 15. Cover times diagram of 8 units simulation(color online)

Download full size | View in the Article

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)

Download full size | View in the Article

Fig. 17. Path diagram of 8 units simulation (color online)

Download full size | View in the Article

	元素 Chemical element	质量比 Mass ratio
混凝土 Concrete	H	0.65
	O	49.83
	Na	1.71
	Mg	0.24
	Al	4.54
	Si	31.50
	S	0.12
	K	1.92
	Ca	8.25
	Fe	1.22
空气 Air	N	0.76
	O	0.23
	Ar	0.01

Table 1. Material element composition

View in the Article

能量 / MeV Energy	归一化后的比例分布 / % Normalized proportional distribution
0.049 72	7.259 3
0.228 17	42.588 0
0.284 30	1.082 6
0.328 76	0.103 8
0.364 48	14.505 7
0.487 02	0.232 6
0.636 98	1.296 9
0.652 92	3.669 7
0.662 00	2.416 0
0.749 81	10.871 6
0.815 77	0.119 0
1.024 61	15.367 0
1.596 20	0.487 7

Table 2. Radioactive source gamma ray energy composition

View in the Article

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

364

1 820

4.00

0.004 11

单元分解法

Unit decomposition method

499

2 495

42.57

0.005 80

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

View in the Article

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

364

1 820

4.00

0.004 11

0.004 11

4单元仿真

4 cells simulation

370

540

5.71

0.004 34

0.0012 77

8单元仿真

8 cells simulation

372

240

6.29

0.004 24

0.0008 45

Table 4. Comparison of simulation test results

View in the Article

Get PDF(in Chinese)

Figures&Tables (21)

References (20)

Copy Citation Text

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

Download Citation

Save the article for my favorites

Paper Information

Recommended Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology

Set citation alerts for the article

Please enter your email address