Qianqian Jin

Title: Innovations of Qianqian Jin in Active Defense Systems

Introduction

Qianqian Jin is an accomplished inventor based in Nanjing, China. He has made significant contributions to the field of active defense systems, particularly in addressing unknown threats. His innovative approach combines advanced technology with real-time data analysis to enhance security measures.

Latest Patents

Qianqian Jin holds a patent for an "Active Defense System and Method for Unknown Threat." This system includes an intelligent threat early-warning module, an unknown threat detection module, and a self-adaption defense processing module. The intelligent threat early-warning module is designed to perform threat prediction based on power grid situation data collected in real time. It generates threat early-warning information, which is then sent to the unknown threat detection module. This module conducts threat detection and analysis on collected unknown threat network data, producing a threat analysis report for the self-adaption defense processing module. The latter triggers a defense processing operation according to a preset threat defense strategy based on the analysis report. Qianqian Jin's innovative patent addresses critical security challenges in modern power systems.

Career Highlights

Throughout his career, Qianqian Jin has worked with notable organizations, including the State Grid Jiangsu Electric Power Company and its Information & Telecommunication Branch. His experience in these companies has allowed him to apply his expertise in developing advanced defense systems.

Collaborations

Qianqian Jin has collaborated with talented individuals such as Xinjian Zhao and Qianmu Li, who have contributed to his projects and innovations.

Conclusion

Qianqian Jin's work in developing an active defense system for unknown threats showcases his innovative spirit and dedication to enhancing security in power systems. His contributions are vital in addressing the challenges posed by emerging threats in the technological landscape.