◆Design sub-monitoring units for the wall temperature fields of the main combustion zone, the reduction zone and the burnout zone to form an effective three-dimensional monitoring model. By applying advanced servers, real-time operations are conducted on the associated parameters of the combustion process and the three-dimensional monitoring data. Combined with the working condition optimization model for verification, the historical optimization model is completed. ◆According to the characteristics of the boiler burner, combined with the thermodynamic calculation book and the actual consumption difference data, five typical prediction models for "combustion state diagnosis and intelligent optimization" are constructed. "CombineAGCCharacteristics and the inertia of the boiler unit, preset the lead or delay amount of historical optimization and predictive optimization, confirm their factors through debugging, and form a closed-loop control of recheck optimization.
◆Build successful boilers in three dimensions: safety, efficiency and economyCTModel, innovative dynamic monitoring mode for boilers; ◆Real-time monitoring and early warning of abnormal combustion conditions inside the furnace, real-time intelligent prediction and optimization, and guidance for combustion optimization control; ◆Integrate historical optimization with real-time predictive optimization organically to achieve intelligent closed-loop control for boiler combustion optimization. ◆Effectively reduce high-temperature corrosion of water-cooled walls and solve the problem of coking in the furnace chamber; Effectively reduceNOxabout25%Improve the efficiency of boilers0.5%.
Five-In-One-Inspection Equipment Intelligent Maintenance and Decision System 
Precision Inspection and Remote Diagnosis System 
an intelligent predictive maintenance visualization system for your most critical machinery health and condition monitoring 
Visualized Auxiliary Machinery Intelligent Safety Pre-control System