Journal of Radiation Research and Radiation Processing, Volume. 41, Issue 2, 020601(2023)

Design and application of training simulation system for nuclear accident emergency drill

Qiang WU1, Shujian TIAN3, Zihui YANG2、*, Guomin SUN2, Guihua TAO2, Weihu CHEN2, and Shipeng WANG2
Author Affiliations
  • 1Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
  • 2Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
  • 3College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
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    In order to solve the problems of the nuclear accident emergency drill, such as invisible radiation field, potential radiation risk, and high labor costs, therefore, an adaptive ray-casting 3D nuclear radiation field visualization method based on feature importance was developed in this study. The nuclear accident emergency disposal drill training simulation system was developed based on the Unity3D simulation engine. The 3D visualization of a nuclear radiation field with millions of grids was realized using ShaderLab programming. Multi-job personnel collaborative operation exercise simulation was realized based on the finite state machine. The system frame rate was approximately 60 frames, which meets real-time interaction requirements. Considering an out-of-control radioactive source accident as a case, the operation modes and emergency disposal processes of the nuclear accident emergency drill could be rebuilt by the system. The proposed solution of the simulation system could be applied to ensure personnel radiation safety, enrich training methods, and reduce training costs.

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    Qiang WU, Shujian TIAN, Zihui YANG, Guomin SUN, Guihua TAO, Weihu CHEN, Shipeng WANG. Design and application of training simulation system for nuclear accident emergency drill[J]. Journal of Radiation Research and Radiation Processing, 2023, 41(2): 020601

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    Paper Information

    Category: Research Articles

    Received: Nov. 22, 2022

    Accepted: Jan. 11, 2023

    Published Online: Jul. 24, 2023

    The Author Email: YANG Zihui (zihui.yang@inest.cas.cn)

    DOI:10.11889/j.1000-3436.2022-0129

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