Xi'an, China

Xinyue Liu

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinyue Liu. Retrieved from https://idiyas.com/inventor/xinyue-liu-til4hzmt

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


Average Co-Inventor Count = 1.0

ph-index = 1


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Xinyue Liu and Hydrological Monitoring in Signal-Free Areas.

Introduction

Xinyue Liu is an inventor associated with Xi’an, China. Her work includes a patent addressing how hydrological monitoring devices can transmit information from areas without conventional signal coverage.

Latest Patents

Liu’s listed patent is “Positioning and Information Transmission Method of Hydrological Monitoring Device in Signal-Free Area.” The invention combines wireless communication with hydrodynamics-based monitoring to support data transmission in locations such as hydraulic tunnels.

The method places magnetic beacons, each incorporating a LoRa terminal and ultra-wideband technology, along the tunnel ceiling at intervals of 500 meters. When a monitoring device enters a beacon’s coverage area, the beacon receives its collected data. The data is relayed between beacons using LoRa communication and ultimately sent to a ground-based central control system for storage.

Career Highlights

The patent focuses on maintaining hydrological monitoring and data transmission where ordinary signal coverage is unavailable. Liu is associated with 1 patent in the information provided.

Collaborations

The listed collaborators include Tao Bai and Dong Liu.

Conclusion

Xinyue Liu’s patent presents a beacon-based approach to positioning and transmitting hydrological monitoring data in signal-free environments, including hydraulic tunnels.

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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