Kunming City, China

Guangyou Shi

This inventor holds 1 USPTO granted patent. Top assignees: Hohai University, Huaneng Lancang River Hydropower Inc., Kunming University of Science and Technology. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guangyou Shi. Retrieved from https://idiyas.com/inventor/guangyou-shi

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: Guangyou Shi: Inventor in Concrete Dam Monitoring

Introduction

Guangyou Shi is an inventor associated with Kunming City, China. His patent work addresses monitoring the operation of critical parts of concrete dams, with a focus on identifying anomalies through data analysis.

Latest Patents

Shi is associated with 1 patent: “Partition Monitoring Method and Model for Concrete Dam Operation Key Part.” The method uses time-frequency vectors extracted from monitoring data to partition critical dam areas. It then organizes time-series measurements from different monitoring instruments into a graph structure, capturing relationships across time and variables. A graph attention network helps learn these relationships and produce feature representations, which are used to calculate anomaly scores. By cross-checking measurements from multiple instruments and locations, the approach aims to detect anomalies while reflecting the dam’s structural integrity and spatial distribution.

Career Highlights

The information provided associates Shi with Huaneng Lancang River Hydropower Inc. and Hohai University. These affiliations connect his work with hydropower operations and academic research.

Collaborations

Shi’s named coworkers include Hao Chen and Haibin Xiao. Their shared work is associated with research on concrete dam monitoring and anomaly detection.

Conclusion

Guangyou Shi’s patent applies time-series analysis and graph-based learning to improve anomaly detection in concrete dam monitoring, combining measurements from multiple instruments to assess critical structural areas.

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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