Intelligent decision support system for optimizing the cleaning of heating surfaces of a solid fuel energy boiler

One of the main problems today in the countrys energy sector is its energy independence and energy stability.After the start of the full-scale invasion of the russian federation, and the corresponding decrease in the supply of natural gas and oil products, the need for its replacement with alternative types of fuel increased.During the operation of the boiler, contamination of the external heating surfaces occurs.On the heating surfaces, slag deposits are possible.Combustion of alternative types of fuel requires additional mechanical impact on the heating surfaces of the solid fuel boiler, as a deposit appears on them, which impairs the transfer of heat from the furnace to the water pipe circuit, and in case of excessive and prolonged slagging, overheating of its individual sections and, as a result, pipe rupture.Intelligent decision-making support subsystem for a solid-fuel boiler helps to determine the general degree of contamination of the heating surfaces, and therefore, the frequency and intensity of their automatic soot cleaning, thereby preventing boiler slagging, which also depends on the efficiency of the boiler and its period of trouble-free operation.Consequently, intelligent decision-making support subsystem will improve the main technical and economic indicators of production and ensure the achievement of the following goals: reduction of regulation errors; prevention of emergency situations when the system lost the necessary accuracy due to disturbances or changes in the objects parameters; reducing the number of ACS settings, accordingly reducing the influence of the human factor on the technological process; stabilization of operational parameters of the technological process to ensure the required steam quality; improvement of the working conditions of service personnel; increasing productivity, increasing resource efficiency of the process.