Journal of Radiation Research and Radiation Proces ›› 2018, Vol. 36 ›› Issue (6): 60601-060601.doi: 10.11889/j.1000-3436.2018.rrj.36.060601

• RADIATION PROTECTION • Previous Articles    

An improved A* algorithm-guided path-planning method for radioactive environment

TAO Longlong1,2, LONG Pengcheng1, ZHENG Xiaolei1, YANG Zihui1, SHANG Leiming1, HE Tao1   

  1. 1 Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China;
    2 University of Science and Technology of China, Hefei 230027, China
  • Received:2018-08-25 Revised:2018-11-27 Online:2018-12-20 Published:2018-12-21
  • Supported by:

    Supported by the Informatization Project of Chinese Academy of Sciences (XXH13506-104), the National R&D Infrastructure and Facility Development Program of China-Fundamental Science Data Sharing Platform (DKA2017-12-02-17), the National Magnetic Confinement Fusion Science Program of China(2014GB112000), the Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences and the Industrialization Fund

Abstract:

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 29.3 m and 1.0 mSv, respectively, whereas that obtained via the traditional A* algorithm are 24.1 m and 28.8 mSv, 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.

Key words: Path planning, A* algorithm, Radiation environment, Visualization, Cumulative dose

CLC Number: 

  • TL72