Research on Optimization of Efficient Building Air Conditioning Control System Based on Advanced Intelligent Algorithm

Aiming at the balance between energy efficiency and comfort in modern building air conditioning control systems, this paper proposes an intelligent air conditioning control system optimized by PID control algorithm. By introducing single chip microcomputer as the core processing unit, the real-time monitoring and automatic control of building environment parameters are realized. The dynamic adjustment characteristic of PID control algorithm can quickly respond to environmental changes and effectively improve the operating efficiency of air conditioning system. In this paper, the PID parameters are fine-tuned, combined with the specific environmental conditions of the building, such as the flow of people, light intensity, and external temperature, to achieve more accurate temperature control. In addition, the stability and energy-saving effect of the optimized PID algorithm under different working conditions are verified by the model simulation of building air conditioning control system. The simulation results show that the intelligent control system can significantly reduce energy consumption, while maintaining the comfort of the indoor environment, which provides a strong technical support for the sustainable development of green buildings.