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. 7. Real-time dose metrics variation chart: (a) real-time dose rate variation chart; (b) real-time cumulative dose variation chart
Fig. 11. Flowchart of the algorithm for adding cumulative dose monitoring
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. 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)
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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: Yongsheng LING (凌永生)