基于信息融合技术的锅炉飞灰含碳量测控系统  

Measurement and control system for unburned carbon in fly ash based on information fusion techniques

作　　者：牛培峰[1,2] 化克[1,2] 张现平[1,2] 

机构地区：[1]燕山大学电气工程学院,秦皇岛066004 [2]燕山大学计算机控制工程河北省重点实验室,秦皇岛066004

出　　处：《仪器仪表学报》2009年第6期1207-1210,共4页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(60774028)资助项目

摘　　要：降低飞灰含碳量对火力发电厂提高锅炉燃烧经济性具有重要意义,而飞灰含碳量难以在线测量。目前广泛采用微波飞灰测碳仪进行在线监测,但在实际中烟气密度和流速对仪器的测量精度有重要影响,使测量结果产生较大波动。设计了对烟气密度和流速的测量方法,并构造了基于多传感器信息融合技术的测量系统,利用BP神经网络对互补的信息进行有效融合,该方法在一定程度上提高了飞灰含碳量的测量精度,进而给出一种模糊自寻优的方法控制飞灰含碳量。Decreasing unburned carbon content in fly ash is important to improve the combustion economization of the boiler, but it is difficult to measure online. Microwave online measurement system is widely used nowadays; however, practically smoke density and velocity have significant influence on the measurement accuracy, which leads to great fluctuation of the measurement results. In this paper, a measurement method of smoke density and velocity is designed and a measurement system based on multi-sensor information fusion technique is structured. BP neural network is utilized to fuse the multi-sensor information effectively. This method has improved the measurement accuracy of unburned carbon content in fly ash at certain extent, which presents a fuzzy self-optimization method to control the unburned carbon content.

关 键 词：飞灰含碳量 锅炉 信息融合 模糊自寻优控制 

分 类 号：TK314[动力工程及工程热物理—热能工程]