Chengdu, China

Jiajun Zhou


Average Co-Inventor Count = 14.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jiajun Zhou: Innovator in Hail Identification Technology

Introduction

Jiajun Zhou is a prominent 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

Jiajun Zhou 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. The process includes detecting radar center coordinates, performing spatial mapping, and establishing a dictionary for radar echo intensity in a new radar image space. After expanding the dictionary, the method 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. This innovation allows for rapid and accurate automation of hail monitoring and early warning, alleviating the continuous high-intensity analysis pressure faced by forecasters.

Career Highlights

Jiajun Zhou 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

Jiajun Zhou collaborates with notable colleagues, including Wendong Hu and Fei Luo, who contribute to his research efforts and innovations in the field.

Conclusion

Jiajun Zhou'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.

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