杨静远, 金珊, 韩冬傲, 黄家祺, 夏小涵. 基于指纹定位技术的放射源定位方法研究[J]. 核科学与工程, 2021, 41(6): 1289-1296.
引用本文: 杨静远, 金珊, 韩冬傲, 黄家祺, 夏小涵. 基于指纹定位技术的放射源定位方法研究[J]. 核科学与工程, 2021, 41(6): 1289-1296.
YANG Jing-yuan, JIN Shan, HAN Dong-ao, HUANG Jia-qi, XIA Xiao-han. Study on the Radioactive Source Location Method Based on the Fingerprint Location Technology[J]. Chinese Journal of Nuclear Science and Engineering, 2021, 41(6): 1289-1296.
Citation: YANG Jing-yuan, JIN Shan, HAN Dong-ao, HUANG Jia-qi, XIA Xiao-han. Study on the Radioactive Source Location Method Based on the Fingerprint Location Technology[J]. Chinese Journal of Nuclear Science and Engineering, 2021, 41(6): 1289-1296.

基于指纹定位技术的放射源定位方法研究

Study on the Radioactive Source Location Method Based on the Fingerprint Location Technology

  • 摘要: 放射源定位是放射性物质安全监管的重要内容之一。目前基于移动式探测器的定位方案存在应用条件、部署成本、监控时效等诸多方面的挑战。本文提出一种基于指纹定位技术的放射源定位方法,讨论了基于多探测器的放射源指纹定位系统设计方案,建立了基于环境辐射监测系统的仿真模型,设计了基于WKNN和XGBoost的放射源指纹定位算法并进行了实验仿真。结果表明:在4顶点探测器布置仿真模型中,基于WKNN和XGBoost的算法定位精确度差异不大,定位精度小于25米的精确度分别为89.1%和90.18%,基于XGBoost算法的放射源定位方法实时性较高,运行时间为WKNN算法的7.8%。

     

    Abstract: The location of radioactive sources is one of the important contents of the safety supervision of radioactive materials. Current positioning solutions based on mobile detectors have many challenges in terms of application conditions, deployment costs, and monitoring timeliness. This paper proposes a radioactive source location method based on the fingerprint location technology, discussed the design scheme of radioactive source fingerprint positioning system based on multi-detectors, established a simulation model based on the environmental radiation monitoring system, designed a radioactive source fingerprint location algorithm based on the WKNN and XGBoost, and carried out experimental simulation. The results show that in the4-vertex detector layout simulation model, there is little difference in positioning accuracy based on the WKNN and XGBoost algorithms. The accuracy of positioning accuracy less than 25 meters is89.1% and 90.18% respectively. The radioactive source positioning method based on the XGBoost algorithm has high real-time performance, and the running time is 7.8% of the WKNN algorithm.

     

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