Based on advanced technologies of soft-sensing modeling, online monitoring and diagnosing, dynamic compensation and fusion, this system can realize quantification of the heating surface pollution degree, visual dynamic monitoring and multiple target soot blowing judgement optimization. By optimizing the operation area and frequency of the sootblower, making the overall heat absorption distribution ratio of the heating surface more reasonable, and by establishing the multi-factor sootblowing judgement model on comprehensive consideration of heating surface pollution, furnace outlet temperature, flue gas temperature, and attemperating water flow, etc., this intelligent sootblowing closed-loop control system can make the sootblowing process be based on actual demand and with proper numbers instead of on fixed time and fixed quantity before. Accident caused by unreasonable sootblowing can be effectively avoided and the pipeline life can be prolonged. It will also be helpful for energy saving, consumption reduction, unit operation economic and safety improvement.



Features
Reduce operation frequency of soot blower by about 15-30%
Reduce soot blowing steam consumption by about 15-30%
Reduce boiler exhaust flue gas temperature by 2℃- 4℃
Visualize the pollution degree by all condition real-time monitoring of the heating surface soot deposition
Realize sootblowing of the heating surface based on demand and with proper quantity by multiple target optimization sootblowing control strategy
Realize dynamic sootblowing optimization with coal quality changing by online real-time coal quality analysis
Optimize the soot blower running mode based on boiler operation characteristic and actual soot deposition situation