摘要
为减少辐射危害,提出一种改进型A星算法引导的核辐射环境路径规划方法。该方法综合考虑辐射场剂量率、障碍物和最短路径等约束条件,采用累积剂量作为实际代价,用预估剂量作为估计代价来引导最优路径。在同一核辐射环境下,利用改进型A星算法得到的路径长度和总剂量代价分别为29.3 m和1.0 mSv,利用传统A星算法得到的路径长度和总剂量代价分别为24.1m和28.8m Sv。仿真结果初步表明,改进型A星算法引导的路径更加安全、可靠,可应用于核辐射环境下的路径规划。
People working in a radiation environment are at risk of radiation exposure.To minimize radiation hazards,an improved A^* algorithm-guided path-planning method for radioactive environments is proposed.The method considers the radiation dose rate,obstacles,and shortest path constraint conditions and uses the cumulative dose as the actual cost and the estimated dose as the estimated cost to determine the optimal path.In the same radiation environment,the path length and total dose cost obtained by the improved A^* algorithm are 29.3m and 1.0 mSv,respectively,whereas that obtained via the traditional A^* algorithm are 24.1m and 28.8mSv,respectively. Simulation results demonstrate that the path guided by the improved A^* algorithm is safer and more reliable,and it can be applied to path planning in a nuclear radiation environment.
作者
陶龙龙
龙鹏程
郑晓磊
杨子辉
尚雷明
何桃
TAO Longlong;LONG Pengcheng;ZHENG Xiaolei;YANG Zihui;SHANG Leiming;HE Tao(Key Laboratory of Neutronics and Radiation Safety,Institute of Nuclear Energy Safety Technology,Chinese Academy of Sciences,Hefei 230031,China;University of Science and Technology of China,Hefei 230027,China)
出处
《辐射研究与辐射工艺学报》
CAS
CSCD
2018年第6期53-58,共6页
Journal of Radiation Research and Radiation Processing
基金
中国科学院信息化项目(XXH13506-104)
中国科学院青年创新促进会专项项目及产业化基金资助
国家科技部国家科技基础条件平台项目"国家基础科学数据共享服务平台"(DKA2017-12-02-17)
国家磁约束核聚变能发展研究专项项目(2014GB112000)~~
关键词
路径规划
A星算法
辐射环境
可视化
累积剂量
Path planning
A^* algorithm
Radiation environment
Visualization
Cumulative dose
