针对锅炉水冷壁局部灰污监测这一难点问题,引入了新的清洁因子,将此问题转化为声学测温问题。开发研制了水冷壁局部灰污在线监测系统,并在国内某300 MW锅炉上进行了试验研究,取得了水冷壁贴壁声线上的烟气温度,重建了锅炉炉膛截面温度场。研究表明:新的清洁因子可以用来监测水冷壁局部灰污状况;由于声波弯曲效应,测得的贴壁声线的平均烟气温度比水冷壁向火测温度高130℃左右,贴壁烟温的变化可以用其来代表水冷壁壁温的变化;重建的温度场可以实时准确地观测火焰中心在炉内的移动;为锅炉灰污监测和智能吹灰提供重要的参考。
To solve the difficulty in monitoring the ash fouling on water walls of a boiler,introduced was a cleaning factor to transform it into an acoustic pyrometric problem. On this basis,an on-line system for monitoring the ash fouling on water walls of a boiler was developed and an experimental study was performed on a domestic 300 MW boiler. As a result,the flue gas temperatures along the acoustic line close to the water walls were obtained and the temperature fields in the sections of the furnace in the boiler were rebuilt. The research results show that the new cleaning factor can be used to monitor the local ash fouling conditions of the water walls. Due to the curvature effect of the sound wave,the average flue gas temperature measured along the acoustic line is about 130 ℃ higher than that on the surface of the water walls facing the flame. Any change in the temperature of flue gases close to the water walls can be used to represent that in the water wall temperature. The temperature field thus rebuilt can be used to real-time and accurately observe the movement of the flame center in the furnace,thus the foregoing can offer important reference for monitoring ash fouling and intelligent soot blowing in boilers.