Dynamic Heat Load & Model Superposition Based Intelligent Soot Blowing System

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Intelligent Soot Blowing System with Dynamic Heat Load & Model Superposition

This system is based on dynamic heat load calculation and effectively combines flow monitoring data, effectively integrating mechanism influence, big data analysis and process judgment models: constructing clean factor, contamination coefficient and energydistribution deviation models; Based on the boiler type, thermal calculation book and historical contamination, multiple judgment models for the radiation section - semi-radiation section - high-temperature convection zone - vertical shaft convectionzone are constructed. The mechanism judgment feature mechanism and judgment big data model engine of flue gas corridor; Health and safety assessment of the soot blower itself; Accident soot blowing strategy linkage.

Product Details

Key Technologies

◆Configure the energy assessment monitoring units for each section of the boiler, couple with thermal calculations, and use them as the assessment of contamination factors. Design the flue gas side monitoring units for each section and construct the energy models of the heating surfaces in each section. ◆Collect the process parameters of key heat exchange and couple with the energy consumption process model and the cleanliness factor model to construct an accurate fouling and slagging model. ◆Design flow field monitoring units for special areas and construct flow field anomalies-Flue gas corridor model Integrate the judgment model with the trigger engine and evaluation analysis to form a closed-loop control logic.

: Expected effect

◆Save 30% steam, eliminate overblowing and pipe burst accidents. Independently assess abnormal ash blockage to avoid local ash accumulation in flue gas corridors. ◆Diagnose faults such as internal leakage and jamming in soot blowing to prevent local excessive scouring and pipe burst accidents. ◆Improve boiler efficiency 0.3%. Achieve an annual comprehensive return of approximately 1.26 million yuan.