摘要
针对河内污染物转化的荧光强度波动性很大,极易受到外界干扰,采集的实时性和准确性很差;提出一种基于S3C2410的嵌入式水污染弱荧光数据采集系统;为了采集弱荧光信号,系统的硬件使用光电倍增管,前置放大器的增益和光电倍增管的测量灵敏度可以针对不同强度的光实现可调,配合S3C2410核心芯片配合增强型神经网络的软件设计,保证采集的准确性;高精度测量模块实现相对误差小于0.5%的弱荧光强度测量,大幅降低荧光采集的误差,提高荧光数据采集的准确性,保证了系统的实时性和良好的应用性。
river pollutants into the fluorescence intensity vulnerable to be outside interference, real--time and accuracy is poor. proposed based on embedded S3C2410 water pollution data acquisition system. To gather the weak fluorescent signal, system hardware adopt photomultiplier tubes, preamplifier gain and the photomultiplier tubes of measuring sensitivity to the light of the different strength realize the adjustable, with S3C2410 core chip with enhanced neural network software design. High precision measurement modules realize the relative error less than 0. 5%. To significantly reduce the error of the fluorescence acquisition, improve the accuracy of the fluorescent data collection, ensure that the system of real--time and good application.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第12期3397-3400,共4页
Computer Measurement &Control
基金
江苏省新型环保重点实验室开放课题基金资助(AE201067)
关键词
嵌入式
荧光数据
增强神经网络
Key words
Embedded
Fluorescence data
Enhance neural network
