摘要
针对传统γ能谱仪连接复杂、传输距离较短等问题,提出并实现基于ARM嵌入式系统及无线WIFI模块的无线便携式γ能谱仪方案,并引入支持向量机分类方法优化核素识别方法提高核素识别准确率;经过50m无线检测单组和混合核素实验,证明设计的无线便携式γ能谱仪具备稳定的远距离数据传输性能,并且其核素识别效果优于传统γ能谱仪。
Aiming at the problems of connect complex, short transmission distance and poor universality in conventional γ spectrometer. This paper designed and implemented a new wireless Portable γ spectrometer based on ARM embedded systems and wireless WIFI module. Support vector machine (SVM) classification method was used to optimize the nuclide identification method. The experiment which wireless detect a single nuclide and mixed nuclide in 50 meters proved that the equipment had the stable long--distance data transmission performance and nuclide identification effect is superior to traditional γ spectrometer.
出处
《计算机测量与控制》
北大核心
2014年第10期3448-3450,3453,共4页
Computer Measurement &Control
基金
四川省科技厅资助项目(2010GZ0134)
关键词
Γ能谱仪
核素识别
支持向量机
无线传输
γ spectrometer
nuclide identification
support vector machine
wireless transmission