Design of Remote Intelligent Monitoring System for Annealing Furnace Based on PID Algorithm

The temperature control system of blast furnace has the characteristics of nonlinearity, time-varying and large lag. The traditional control method can not effectively adjust the temperature control system of blast furnace, and it is difficult to adapt to the complex control object such as the temperature control of annealing furnace. In order to improve the precise control and control quality of furnace temperature, this paper studies the design idea of remote intelligent monitoring system for annealing furnace condition based on PID algorithm, puts forward an improved PID control algorithm, and selects appropriate parameters, so that the system achieves satisfactory control effect. In the design process, MATLAB is used to simulate the control algorithm, and the optimal control scheme is selected, and it is constantly adjusted according to the experimental data and temperature control characteristics. The parameters such as outlet temperature of flue gas heating furnace can be controlled in a safe and reasonable range, the product quality is improved, and the control accuracy of the system is greatly improved. It is proved that this method can effectively overcome the problems of large temperature fluctuation, slow response speed and high fuel consumption caused by the change of furnace conditions in the conventional temperature control of heating furnace.