Company Filing History:
Years Active: 2025
Title: Innovations of Zhuolin Chang in Hail Identification Technology
Introduction
Zhuolin Chang is a notable inventor based in Chengdu, China. He has made significant contributions to the field of meteorology through his innovative patent. His work focuses on improving the accuracy and efficiency of hail identification, which is crucial for weather forecasting and safety.
Latest Patents
Zhuolin Chang holds a patent for an "Automatic hail identification method based on radar image spatial mapping." This method involves obtaining a base reflectivity radar image and grading radar echoes using intensity values represented by different colors. It includes detecting radar center coordinates and performing spatial mapping. The process establishes a dictionary for radar echo intensity in a new radar image space. After expanding the dictionary, it transforms V-shaped notch and TBSS characteristics behind an original radar strong echo area into a standard rectangle and a triangle in the new radar image space. The method determines the presence of hail by marking the original radar image and calculating the position where hail occurs. This innovation provides a rapid and accurate method for automation of hail monitoring and early warning, alleviating the continuous high-intensity analysis pressure faced by forecasters.
Career Highlights
Zhuolin Chang is affiliated with the Chengdu University of Information Technology, where he continues to advance his research and development in meteorological technologies. His work has garnered attention for its practical applications in weather forecasting.
Collaborations
Zhuolin Chang collaborates with notable colleagues such as Wendong Hu and Fei Luo, contributing to a dynamic research environment focused on innovative solutions in meteorology.
Conclusion
Zhuolin Chang's contributions to hail identification technology exemplify the importance of innovation in meteorology. His patent not only enhances the accuracy of weather forecasting but also supports the safety of communities affected by severe weather.