采用探测器阵列并通过数据的自动处理实现辐射源的定位，是信息时代物联网工程对辐射信息监控的基本要求。为此，本文初步讨论了数学分析法、数学统计法和邻近探测器数据比较法三种定位方法，并采用MCNP5软件对通道内单个γ源的一维定位监控进行了数值仿真分析。结果表明，数学分析法和数学统计法的定位能力均优于工程上常用的邻近探测器数据比较法，前者需要的探测器数量少，但在多个探测器存在时误差随探测器组合而产生较大的变化。数学统计法需要多个探测器形成阵列，但定位精度很高，可用于大剂量或重要放射性部件的精确位置监控。%Background: Location of radioactive sources based on the detectors array and automatical data processing are the basic requirements of radiation detection and monitoring system in the Internet of things projects. Purpose:This study aims for the location algorithms of the radioactive materials. Methods:Three methods, i.e., the mathematical analytical method, the mathematical statistical method and data comparison method of adjacent detectors, are investigated, and one dimensional simulation of a single gamma source in a tunnel was performed with MCNP5 software. Results:Simulation results show that the mathematical analytical method was more accurate than the data comparison method of adjacent detectors, but the detection errors varied with the choice of the coupled datum of the detectors when more detectors were applied. The mathematical statistical method required more detectors to form an array to achieve the most accurate result. Conclusion:The mathematical statistical method can be used in the location of important or large dose components.
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