Company Filing History:
Years Active: 2025
Title: Innovations by Fang Geng in HVAC Control Systems
Introduction
Fang Geng is a notable inventor based in Jinan, China. He has made significant contributions to the field of intelligent building adaptive control, particularly in the area of heating, ventilation, and air conditioning (HVAC) systems. His innovative approach utilizes adaptive model predictive control to enhance the efficiency and effectiveness of HVAC operations.
Latest Patents
Fang Geng holds a patent for a "Method and system for controlling heating, ventilation, and air conditioning system in buildings based on adaptive model predictive control." This patent describes a method that involves acquiring operation data of the HVAC under various working conditions and performing preprocessing on the acquired data. The process includes calculating a marginal fitness measure (MAD) for each data point and obtaining a global fitness measure (GAD) to classify the current operation states of the system. By adopting adaptive control strategies based on these classifications, the system can optimize its performance.
Career Highlights
Fang Geng is affiliated with Shandong University, where he contributes to research and development in intelligent building technologies. His work focuses on improving HVAC systems, which are crucial for maintaining comfortable indoor environments in buildings. His innovative methods have the potential to significantly reduce energy consumption and enhance user comfort.
Collaborations
Fang Geng collaborates with colleagues such as Xinli Wang and Jiayi Xiao, who share his commitment to advancing research in HVAC control systems. Their combined expertise fosters a collaborative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Fang Geng's contributions to HVAC control systems exemplify the impact of innovative thinking in the field of intelligent building technologies. His patent and ongoing research efforts highlight the importance of adaptive control strategies in enhancing system efficiency and user comfort.