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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。
The use of a detector array and the automatic processing of the data to locate the radiation source are the basic requirements for monitoring the radiation information in the Internet of Things project in the information age. Therefore, this paper discusses three methods of mathematical analysis, mathematical statistics and data comparison of proximity detector. MCNP5 software is used to simulate the one-dimensional position monitoring of a single γ source in a channel. The results show that both the mathematical analysis and the mathematical statistics have better positioning ability than those commonly used in engineering. The former requires a small number of detectors, but when multiple detectors exist, the errors are generated with the combination of detectors Big change. Mathematical statistics require multiple detectors to form an array, but the positioning accuracy is high enough for accurate position monitoring of large doses or important radiological components.