The online detection technology for coal fed into the furnace can safely and quickly complete the indicators such as total moisture content (moisture), alkali metal elements, ash content and calorific value. Real-time monitoring and display of coal type distribution information in the raw coal bunker, multi-index analysis and prediction of coal quality, and push suggestions for boiler blending adjustment. By automatically monitoring the information of coal fed into the furnace and the online monitoring information of coal quality, the main parameters of coal blending fed into the furnace are monitored in real time. The blending scheme is automatically matched, and real-time monitoring and early warning are carried out for mismatched blending ratios and changes in coal quality. Based on the combustion conditions of the unit and the dynamic coal storage situation, push suggestions for optimizing blending.
◆The online detection technology for coal fed into the furnace can safely and quickly complete the indicators such as total moisture content (moisture), alkali metal elements, ash content and calorific value. Real-time calculation and display of the distribution information of coal types in the raw coal bunker based on the rotational speed and frequency conversion quantity of the coal conveying belt. ◆By automatically monitoring the coal feeding information and the online monitoring information of coal quality, the main parameters of blending are monitored in real time, the blending scheme is automatically matched, and the blending process is monitored and warned in real time. Push blending suggestions based on the combustion conditions of the unit and the dynamic coal storage situation.
◆Realize real-time monitoring of the coal quality fed into the furnace and dynamic deviation prediction of multiple indicators; ◆Establish multiple blending ratio models to automatically analyze and evaluate the safety and economy of coal blending and co-firing. ◆Real-time monitoring of the combustion results of the boiler during the co-firing process, and automatic push of suggestions for adjusting the blending ratio and boiler combustion.
Five-In-One-Inspection Equipment Intelligent Maintenance and Decision System 
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an intelligent predictive maintenance visualization system for your most critical machinery health and condition monitoring 
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