烟雾粒子检测与识别系统的蒙特-卡罗模拟  

Monte-Carlo Simulation in Smoke Detection and Recognition

作　　者：胡静[1] 杨宗凯[1] 杨代琴[1] 

机构地区：[1]华中科技大学电子与信息工程系,武汉430074

出　　处：《光电子．激光》2002年第5期505-507,共3页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金资助项目 ( 6 9975 0 0 6 )

摘　　要：提出了一种基于粒子激光散射的多传感器阵列的烟雾检测与识别系统 ,可识别的烟雾粒径范围为0 .0 1- 10 0μm,粒子浓度要求减光率为 5 %。并用蒙特卡罗方法模拟了在不同粒径。We put forward a smoke detection and recognition system with multi-sensor array based on the particle laser scattering. It can recognize particle sizes of 0.01-100 μm, concentration of 5%. A Monte-Carlo method was used to simulate the scattering characters of smoke particles by changing sizes, refractive index of smoke particles and incident angles of light source. The simulated results agree with that one from improved Mie scattering theory, but it is simpler and practicable.

关 键 词：烟雾粒子检测 识别系统 蒙特-卡罗模拟 激光散射 

分 类 号：TN247[电子电信—物理电子学]