Power Plant Boiler Soot Blowing Optimization Of Computer Software Systems

Ash deposition on boiler heat exchanger surface is a common phenomenon in fossile fuel powered power plant. This paper focuses on the research building a suitable model of soot deposition status of heat exchanger surface, and constructs a online monitoring system based on the built models. This will provide a reliable foundation to the optimal scheduling of the soot blowers. All of the work is based on the No.1 boiler with a 600MW generator in BeiLun Power Plant.First, we introduce the endangerment status quo of soot deposition occurred on the boiler heat exchanger surface. To reduce the loss due to the fouling of the heat exchanger surface and improve the economic efficiency of the boiler, we must judge the soot deposition level exactly and reliably, then we can schedule the soot blowers to cure the loss caused by soot deposition.Subsequently, we introduce some monitoring model and implement currently used, then we release our model, which suit the 1# boiler of BeiLun Power Plant, on the basis of the models before. Our model is subdivided into three categories, each category suit the heat exchanger of deferent type: the furnace, convective surface and trisector air preheater, all these categories use clean factor as the indication of the soot desposition level.After building the model of the boiler, we build a monitoring system based on the model to monitor the soot deposition level of the boiler heat exchanger surface. After this, We probe into the monitoring system, discuss its function, structure, modules and working process in detail. Then, we turn to the modules of the monitoring system, their function, structure, constitution, working sequence etc.The result and analysis prove the reliability of the model and monitoring svstem, then we dicuss the main factor thai affect the monitoring model and system.At last, we conclude the paper, and dicuss the further development of the model and monitoring system in the future.