摘要
提出了一种用CCD测量炉膛辐射能的方法和相应测量系统.分析了基于CCD的辐射能测量机理,建立了CCD摄像机输出电压与辐射能的测量模型.由于测量模型的复杂性和非线性会阻碍测量方法的实际应用,同时考虑BP神经网络具有逼近任意非线性函数的特性,因此提出了采用BP神经网络作为辐射能测量模型.试验表明:该测量方法是可行的,且测量方法具有较满意的测量精度.
A method that employed CCD to measure radiant energy of furnace was proposed and corresponding measurement system was developed. The mechanism of measuring radiant energy with CCD was analyzed. A measurement model describing relationship between output voltage of CCD video camera and radiant energy was established. As the complexity and nonlinearity of the model, that would hinder the method from being put to practical use, and taking account of BP neural network capability of approximating any nonlinear function, a method of using BP neural network as measuring radiant energy model was presented. Experiments show that the method is feasible and has satisfactory measurement precision.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2008年第5期910-913,共4页
Acta Electronica Sinica
关键词
CCD
测量模型
辐射能
神经网络
炉膛
charge coupled devices
measurement model
radiant energy
neural network
furnace