Intelligent Control Algorithm of Coal-fired Management System in Thermal Power Plant Based on Improved Association Rules

Inventory control and optimization in the supply chain environment is an indispensable and important part of the production and operation of enterprises, and it is the key to ensure the smooth production and sales of enterprises. The fuel management level can directly reflect the management level of thermal power plants and affect the operating income of thermal power plants. Due to the vagaries of the market, the uncertainty of the competitive environment of the whole supply chain is getting higher and higher. There is a big difference between the traditional fuel management mode and the development of thermal power plants, which seriously limits the operation of thermal power plants. Based on this, this paper will combine the improved association rule algorithm to mine the data of thermal power plants, control and optimize the coal-fired inventory of thermal power plants, so as to realize the intelligent control of coal-fired management system of thermal power plants. The results show that after many iterations, the accuracy of this algorithm is significantly higher than that of the comparison algorithm, reaching 90.25%, so it is feasible to apply it to the intelligent control of coal-fired storage management system in thermal power plants. The use of this model can ensure the sufficient power supply of thermal power plants, effectively control the coal-fired inventory cost of thermal power plants, and it is of great significance to improve economic benefits and ensure long-term development of thermal power plants.