为了实现电站锅炉炉膛火焰的可视化和对炉膛燃烧状况进行在线智能诊断，以便为电站运行人员提供有效的运行指导信息，研制开发了一套基于 Web的火焰图象处理和燃烧诊断系统，并提出了一种采用Java技术、基于 Web应用的浏览器 /服务器 (B/S) 3层结构模型，同时分析了 B/S 3层结构的优点，并将此结构应用于电站锅炉火焰图象处理和燃烧诊断系统中.该系统首先通过光学镜头组、CCD摄像机、图象采集卡得到火焰图象，同时利用获得的炉内辐射信息来对炉内火焰燃烧状态和 NOX排放量进行在线监控和分析;然后根据比色测温原理计算投影温度场;最后利用代数重建算法 ART(Algebraic Reconstruction Techniques)来进行燃烧温度场的重建，并生成了各种分析曲线图表.该基于 Web的火焰图象处理和燃烧诊断系统已经在300MW电站煤粉锅炉上得到初步应用，实践证明，该系统能够有效地提高电厂运行的经济性和安全性.

In order to carry out the flame visualization and combustion intelligent diagnosis on pulverized coal furnace, and then give the instruction information for power plant staff, we have established a flame image processing and combustion diagnosis system based on Web. In this paper, firstly we propose a kind of browser/server three-layer structure based on Web and Java, then analyse the advantages of this kind of structure in detail. We apply this structure to the flame image processing and combustion diagnosis system . We use optical lens?CCD camera and image card converting the flame video signal to digital signal. By utilizing the flame image processing method and the radiation information of the furnace , we can monitor and analysis the state of combustion and the product of NOX on line. We have developed measurement of project temperature based on colorimetric method and reconstructed section temperature field in terms of ART(Algebraic Reconstruction Techniques). This system has appplied in two of the power plants, effectively improving the level of automatic supervising and safety in the power plants.