Sustainable Mining and Metallurgy

In response to the application challenges of intelligent control for the grate furnace system of domestic waste incineration facilities in China, this paper proposed a smart control technology solution for waste incineration based on “big data + machine learning + process mechanism model”. By integrating industrial big data, process mechanism models and machine learning algorithms, an intelligent combustion control technology and system was developed for the incinerator, the core facility of waste incineration, achieving precise and efficient intelligent control. The function and control loop of the intelligent combustion control system are introduced, and the intelligent combustion control system was applied to a 400t/d waste grate furnace in a waste incineration plant. The production practice showed that after the system is put into operation, the operation rate without manual intervention can reach 96.53%, the oxygen content decreased from 6.8% to 5.6%, the furnace temperature increased from 911.9℃ to 977.4℃, and the main steam flow increased from 28.1t/h to 32.8t/h. Compared with manual control, the standard deviation of the operation data of the main control indexes after the system was put into use can be reduced by more than 10%, which significantly improved the operation stability of the grate furnace. The intelligent combustion control system can not only make the operation index meet the requirements of environmental protection and safe production, but also realize the stable control of the main parameters. This technical solution can provide strong technical support and guarantee for the sustainable development of the waste disposal industry.