Chaoyang, China

Zhu Niu

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Chao yang, CN (2023)
  • Beijing, CN (2023 - 2024)

Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Zhu Niu in Data Acquisition Technologies

Introduction

Zhu Niu is a prominent inventor based in Chaoyang, China, known for his contributions to data acquisition technologies. With a total of three patents to his name, he has made significant advancements in multi-parameter dynamic sampling methods and systems. His work is instrumental in enhancing the efficiency and accuracy of data collection processes.

Latest Patents

Zhu Niu's latest patents include the "Multi-parameter dynamic sampling method and multi-parameter dynamic sampling device." This patent describes innovative methods for configuring sampling rates for various parameters, calculating loads, and determining data loss. Another notable patent is the "Data acquisition system and method," which outlines a system that includes data acquisition units and a controller for setting sampling and polling intervals. These inventions reflect his commitment to improving data acquisition methodologies.

Career Highlights

Zhu Niu is currently employed at Siemens Aktiengesellschaft, where he continues to develop cutting-edge technologies in data acquisition. His work at Siemens has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to the industry.

Collaborations

Zhu Niu has worked alongside notable colleagues such as Shun Jie Fan and Bo Wen. Their collaborative efforts have led to the development of innovative solutions in data acquisition and sampling technologies.

Conclusion

Zhu Niu's innovative work in data acquisition technologies showcases his expertise and dedication to advancing the field. His patents reflect a deep understanding of complex systems and a commitment to improving data collection methods.

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