CAJ | 학술논문

提出了一种基于最小二乘支持向量机理论及可视化火焰检测系统的燃煤电站锅炉负荷预测的方法.利用可视化火焰检测系统对300 MW燃煤锅炉降负荷过程的燃烧火焰及温度场进行了实时测试.通过测试,利用数字图像处理技术提取了燃烧火焰图像特征参数、由双色法测温原理计算得到了其温度场,采用最小二乘支持向量机建立了锅炉负荷预测模型并进行了校验.结果表明.该预测模型泛化能力强、预测精度高,从而为把燃烧火焰图像及温度场信息作为控制信号,进而引入电站锅炉燃烧控制系统提供了技术支持.
제출료일충기우최소이승지지향량궤이론급가시화화염검측계통적연매전참과로부하예측적방법.이용가시화화염검측계통대300 MW연매과로강부하과정적연소화염급온도장진행료실시측시.통과측시,이용수자도상처리기술제취료연소화염도상특정삼수、유쌍색법측온원리계산득도료기온도장,채용최소이승지지향량궤건립료과로부하예측모형병진행료교험.결과표명.해예측모형범화능력강、예측정도고,종이위파연소화염도상급온도장신식작위공제신호,진이인입전참과로연소공제계통제공료기술지지.
A model to predict power boiler's load was presented by means of Least-square SVM (LS-SVM) and measurement system of flame visualization. The combustion flame of a 300MW boiler and its temperature distribution with its load changed was tested by measurement system of flame visualization. The characteristic parameters were obtained using technology of digital image.The temperature distribution was computed by means of two-colour method. A predicted model of power load was established by LS-SVM. The results indicated the predicted model is more general and accurate. Thus, the predicted model is the powerful tool to put flame image and temperature information in the control system of power boiler combustion.