Hubei, China

Min Cao

This inventor holds 1 USPTO granted patent. Top assignee: Wuhan Optics Valley Zoyon Sci and Tech Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Min Cao. Retrieved from https://idiyas.com/inventor/min-cao-gj5s1au3

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Min Cao and Pavement Deflection Detection

Introduction

Min Cao is an inventor associated with Hubei, China, and Wuhan Optics Valley Zoyon Sci and Tech Co., Ltd. His patent work addresses pavement measurement under rolling loads, with a method designed to detect a pavement’s deflection basin using deformation speed.

Latest Patents

Cao is associated with 1 patent: “Method and Device for Detecting Deflection Basin Based on Deformation Speed Under Rolling Load.” The invention obtains vertical pavement deformation velocities at measurement locations as a load moves across the pavement. It uses measurement timings, response intervals, and a knowledge-base model to determine representative deformation velocities and produce detection results for the target deflection basin.

Career Highlights

The patent reflects an approach to pavement assessment that uses deformation velocity and response timing to characterize pavement behavior under a moving load. The method combines measurements from multiple target locations to support detection of the deflection basin.

Collaborations

Cao’s listed coworkers include Qingquan Li and Hong Lin. His company affiliation is Wuhan Optics Valley Zoyon Sci and Tech Co., Ltd.

Conclusion

Min Cao’s patent focuses on using deformation-speed measurements and a knowledge-base model to detect pavement deflection basins under rolling loads.

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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