Kunming, China

Zengfu Wang

This inventor holds 1 USPTO granted patent. Top assignee: Huaneng Lancang River Hydropower Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zengfu Wang. Retrieved from https://idiyas.com/inventor/zengfu-wang-wlb22mym

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zengfu Wang and UAV-Based Reservoir Water-Bloom Monitoring.

Introduction

Zengfu Wang is an inventor associated with Kunming, China, and Huaneng Lancang River Hydropower Inc. His patent work addresses the use of unmanned aerial vehicle (UAV) swarms to monitor water blooms in reservoir areas.

Latest Patents

Wang is named on 1 patent: “Reservoir Area Water Bloom Rapid Monitoring Method and Device Based on Unmanned Aerial Vehicle Swarm Coordination.” The invention uses local-update quantification in a federated-learning system to reduce communication between UAVs and a central server while maintaining the accuracy of the monitoring model. It defines a loss-function queue for each UAV and uses the relationship between historical and current loss functions to quantify model updates. The approach is intended to ease the difficulty of uploading large volumes of UAV imagery, reduce communication demands, and improve model convergence by limiting frequent communication.

Career Highlights

Wang’s listed patent connects aerial monitoring, coordinated UAV operations, and federated learning to a practical challenge in reservoir management. His work is associated with Huaneng Lancang River Hydropower Inc.

Collaborations

Zuobin Yang and Wei Zeng are listed as Wang’s coworkers. The available information does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Zengfu Wang’s patent focuses on making reservoir water-bloom monitoring more efficient by coordinating UAV data collection with communication-conscious federated learning.

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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