Shanxi, China

Xiong Shen

This inventor holds 1 USPTO granted patent. Top assignee: Taiyuan University of Technology. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiong Shen. Retrieved from https://idiyas.com/inventor/xiong-shen-kh7msgmv

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Xiong Shen: Innovator in Physical Simulation Testing

Introduction

Xiong Shen is a notable inventor based in Shanxi, China. He has made significant contributions to the field of physical detection in mining through his innovative patent. His work focuses on improving the accuracy of detecting ponding goafs during excavation processes.

Latest Patents

Xiong Shen holds a patent titled "Physical simulation test method for detecting position of ponding goaf in excavation." This method involves creating an experimental model that mimics the conditions of an excavating tunnel. It includes the fabrication of transient transmitting and receiving coils, which are essential for data collection. The process involves injecting water into a trapezoidal goaf and using a transient electromagnetometer to gather data, allowing for statistical analysis of detection accuracy.

Career Highlights

Xiong Shen is affiliated with Taiyuan University of Technology, where he contributes to research and development in mining technology. His innovative approach to physical simulation testing has garnered attention in the academic and industrial sectors.

Collaborations

Xiong has collaborated with colleagues such as Guorui Feng and Jiaqing Cui, enhancing the research output and innovation potential within his team.

Conclusion

Xiong Shen's work exemplifies the intersection of innovation and practical application in mining technology. His contributions are paving the way for more accurate detection methods in excavation processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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