Under the pressure of environmental protection requirements and economic operation cost

using historic/realtime operation data of the power plant to improve the economic efficiency and intelligent management level of desulfurization system is of great significance for engineering application. By taking the wet desulfurization system as an example and using the large data platform with plant-level monitoring information system

this paper establishes the cost evaluation criterion of FGD conditions. Through applying the historical operating data of desulfurization system

it realizes automatic filtrating and management of the flue gas desulfurization(FGD) conditions

which can guide the optimization of real time operation of the desulphurization system. The application results show that

this optimal management model for desulfurization can provide quantitative evaluation and optimization suggestions

which is helpful to improving the FGD management level and saving operation cost for power plants on the premise of satisfying the environmental protection requirements.