摘要
为解决核事故应急演练中辐射场不可见、潜在的辐射风险、多工种参与人员众多等问题,本文提出了一种基于特征重要性的自适应光线投射三维核辐射场可视化方法。采用三维仿真引擎Unity3D研发了核事故应急演练培训仿真系统,通过ShaderLab编程实现百万网格数量级的核辐射场的三维可视化,基于有限状态机实现了多工种人员协同作业演练仿真等功能,系统帧率60帧左右,可满足实时交互需求。以放射源失控事故为案例,真实还原了核事故应急演练中的作业模式及处理流程,为保障人员辐射安全、丰富培训手段、降低培训成本提供了支持。
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.Multijob 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-ofcontrol 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 beapplied to ensure personnel radiation safety, enrich training methods, and reduce training costs.
作者
吴强
田书建
杨子辉
孙国民
陶桂花
陈威虎
王世鹏
WU Qiang;TIAN Shujian;YANG Zihui;SUN Guomin;TAO Guihua;CHEN Weihu;WANG Shipeng(Institutes of Physical Science and Information Technology,Anhui University,Hefei 230601,China;Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China;College of Energy and Power Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450046,China)
出处
《辐射研究与辐射工艺学报》
CAS
CSCD
2023年第2期86-97,共12页
Journal of Radiation Research and Radiation Processing
基金
安徽省自然科学基金面上项目(2008085MA23)
中国科学院合肥研究院院长基金资助(YZJJ202208-TS)
2022年教育部产学合作协同育人项目(220602677082736)。
关键词
辐射场可视化
核应急演练
光线投射
有限状态机
Radiation field visualization
Nuclear emergency drill
Ray casting
Finite state machine
