Combustion furnace temperature prediction

Japanese

Chinese

Research Topic: Temperature Prediction of Combustion Furnaces Using AI Models

In recent years, the application of AI (Artificial Intelligence) in the automation of waste treatment plant operations has been progressing. Examples include the development of a three-dimensional autonomous management system for the garbage pit and crane, as well as the monitoring of furnace combustion states and the measurement of heat generation using deep learning.
To automate the operation of waste treatment plants, it is essential to predict future operational conditions. Therefore, this research focuses on developing an AI model to predict operational conditions. As a modeling approach, we propose a nonlinear system identification method based on deep learning. The model is built using actual operational data, and its effectiveness is evaluated.