Boiler operation optimization method, device, equipment, medium and program

Abstract

The present application relates to the technical field of thermal power generation, and particularly relates to a boiler operation optimization method, device, equipment, medium and program, wherein the method comprises: acquiring grating fiber Bragg wavelength data of the boiler in peak regulation operation; inputting the grating fiber Bragg wavelength data into a pre-trained boiler temperature prediction model, and the boiler temperature prediction model outputs a predicted temperature of the boiler, wherein the boiler temperature prediction model comprises a function relationship between wavelength and temperature, the predicted temperature of the boiler is determined by using the function relationship, the function relationship between wavelength and temperature is P(x) = a0 + a1x + a2x 2 +...+a k x k ; wherein P(x) is the predicted temperature of the boiler, x is the fiber grating Bragg wavelength data, a0, a1, a2,..., a k are coefficients of the polynomial, and k is the order of the polynomial; and the operation state of the boiler is optimized according to the predicted temperature. Thus, the problem that it is difficult to accurately capture the temperature change inside the boiler in the deep peak regulation operation of the coal-fired boiler in the related art is solved, and the stability of the boiler operation is affected due to local overheating and other problems.

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