In order to solve the problems of lagging coal quality data

inaccurate coal blending results

and inability to obtain real-time coal combustion data of boilers during the conventional coal blending process

the research uses a belt-type real-time full element coal analysis equipment to obtain belt flow coal quality data in real time

and combines with online blending optimization software and coal blending equipment to form an online blending optimization system. Through collecting coal flow quality data for the boiler in real time

this system feeds back and adjusts the coal blending ratio of the coal yard

which can realize accurate coal blending and real-time calculation of economic indicators. Moreover

it can collect the real-time operation data of the boiler to optimize the boiler operation oxygen amount

damper opening and other key control parameters. Through the application of this system

power plants can be able to burn more economical coal with a lower standard coal price

and the boiler operation can be kept in the best state through real-time combustion optimization adjustment

so that the power plant can obtain objective benefits.