Method, system, medium and equipment for rapidly predicting flue gas amount of coal-fired power plant

The invention discloses a method, a system, a medium and equipment for rapidly predicting the flue gas amount of a coal-fired power plant in the technical field of carbon emission data monitoring, and aims to solve the problem that the actual demand cannot be met in the prior art. Industrial analysis and element analysis data of coal as fired and operation condition data of a coal-fired power generation unit are obtained; according to the operation condition data of the coal-fired power generation unit, a predicted value of the unburned carbon content is obtained based on the trained and optimized unburned carbon content prediction model; according to the industrial analysis and element analysis data of the coal as fired, the predicted value of the unburnt carbon content and the flue gas oxygen content data in the operation condition data of the coal-fired power plant, based on material balance in the boiler coal combustion process, the predicted value of the flue gas amount of the coal-fired power plant is o