Shenzhen, China

Kaikuo Zhuo

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):Explore Patents

Title: Innovations of Kaikuo Zhuo in Train Control Technology

Introduction

Kaikuo Zhuo is a prominent inventor based in Shenzhen, China, known for his significant contributions to train control technology. With a total of six patents to his name, Zhuo has developed innovative methods and systems that enhance the efficiency and safety of train operations.

Latest Patents

Zhuo's latest patents include a train control method, computer device, and storage medium. One of his notable inventions involves a train control method that acquires the current control level of the train and outputs it to a train traction control system. This method also calculates an evaluation score based on current train operation data, which is then input into a neural network learning system to adjust the control level of the train. Another significant patent is a train control method, apparatus, and system designed for a vehicle on-board controller (VOBC). This method includes a train awakening process and utilizes positioning information to control the train's movement out of a parking garage.

Career Highlights

Zhuo has made remarkable strides in the field of train control technology during his career at BYD Company Limited. His work focuses on integrating advanced technologies to improve train safety and operational efficiency. His innovative approaches have positioned him as a key figure in the development of modern train control systems.

Collaborations

Zhuo collaborates with talented individuals such as Faping Wang and Qiongfang Wang, contributing to the advancement of train control technologies through teamwork and shared expertise.

Conclusion

Kaikuo Zhuo's innovative contributions to train control technology demonstrate his commitment to enhancing transportation safety and efficiency. His patents reflect a deep understanding of complex systems and a drive to push the boundaries of current technology.

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