Journal of Radiation Research and Radiation Processing, Volume. 42, Issue 1, 010601(2024)
Complete coverage path planning of nuclear radiation field using bio-inspired neural network
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)
Fig. 2. Normalized radiation dose field calculated by Monte Carlo simulation (color online)
Fig. 3. Diagram of lateral connections of neurons
Fig. 4. Eight bit movement diagram
Fig. 5. Flow chart of unit decomposition method
Fig. 6. Cover times map (color online)
Fig. 7. Real-time dose metrics variation chart: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart
Fig. 8. Mobile unit path graph (color online)
Fig. 9. Cow-tillage partition diagram
Fig. 10. Arch overlay strategy diagram
Fig. 11. Flowchart of the algorithm for adding cumulative dose monitoring
Fig. 12. Cover times diagram of 4 units simulation(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)
Fig. 14. Path diagram of 4 units simulation (color online)
Fig. 15. Cover times diagram of 8 units simulation(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)
Fig. 17. Path diagram of 8 units simulation (color online)
|
|
|
|
Get Citation
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
Category: Research Articles
Received: Oct. 20, 2023
Accepted: Nov. 23, 2023
Published Online: Mar. 27, 2024
The Author Email: LING Yongsheng (凌永生)