| With the continuous improvement of power enterprise informatization level, thesupervisory information system relating closely to production management (SIS),management information system （MIS） produce large amount of real-time datainformation and production management data in process of the power plant management.This paper uses data mining technology depending on support vector machine algorithmto develop the boiler combustion optimization model，and it realizes prediction of boilerefficiency and nitrogen oxides emission parameters. Also, it introduces the basic principleand operation of genetic algorithm, and basing on boiler combustion characteristics model,it uses a genetic algorithm to realize the optimization for operation condition of boilercombustion, and obtains optimal burning adjustment method. Basing on real time data of a300MW unit, it completes the system design and realization of the code and the field test,on-line calculation results provide true and accurate basis for operation personnel to guidethe equipment operation optimization for decision making, and provide a reliableguarantee for the safe production of enterprises. |
