This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Fujian Atmospheric Detection Technology Support Center, Xiamen Kirincore Iot Technology Ltd.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations of Hongwei Zhou in Advection Fog Forecasting
Introduction
Hongwei Zhou is a notable inventor based in Xiamen, China. He has made significant contributions to the field of weather forecasting, particularly in the area of advection fog prediction. His innovative approach utilizes wireless signal communication to enhance the accuracy of fog forecasting.
Latest Patents
Hongwei Zhou holds a patent for an "Advection Fog Forecasting System and Forecasting Method." This system is based on the understanding that weather conditions can affect wireless signal communication. The method involves collecting radio signals in areas prone to fog. The attenuation of these signals can indicate the presence of fog, with variations in the radio signal strength indicator (RSSI) reflecting different levels of fog intensity. By analyzing the RSSI variation curve alongside weather variables such as humidity, wind speed, and rainfall, accurate forecasting of advection fog can be achieved.
Career Highlights
Throughout his career, Hongwei Zhou has worked with several organizations, including Xiamen Kirincore IoT Technology Ltd. and Fujian Atmospheric Detection Technology Support Center. His work has focused on integrating technology with meteorological research to improve forecasting methods.
Collaborations
Hongwei Zhou has collaborated with notable professionals in his field, including Xiaodong Li and Yong Ren. These collaborations have contributed to the advancement of his research and the development of innovative forecasting systems.
Conclusion
Hongwei Zhou's contributions to advection fog forecasting demonstrate the intersection of technology and meteorology. His innovative patent and collaborative efforts highlight the importance of advancements in weather prediction methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile