摘要
利用具有位置灵敏且伴随a粒子探测器的快中子飞行时间谱技术,建立了隐藏爆炸物检测系统,能够同时测定待测物中的C,N,O3种元素,以确定炸药的存在;并具有较高的空间分辨率。此系统检测爆炸物,其漏检率、误检率低,检测灵敏度高。用此系统对多种炸药和有机物品进行了测量,其测得的复杂γ谱用人工神经网络进行识别,能够将炸药和普通有机物品区分开。此系统检测炸药的灵敏度为 300 g。
A Concealed explosive detection system (CEDS) based on a fast neutron TOF spectrometer with position sensitive associated a particler detector was built. In the CEDS, C, N, and O can be measured simultaneously to identify explosives with a high position resoultion and sensitivity. A few kinds of explosives and ordinary materials were measured with the CEDS. According to the identification of the measured γ spectra by means of artifitial neural network, explosives were distinguished from ordinary materials very well. The sensitivity of the CEDS was 500 g for detecting explosives.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
1996年第6期88-94,共7页
Journal of Tsinghua University(Science and Technology)