Chongqing, China

Yingkai Long

USPTO Granted Patents = 1 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Yingkai Long: Innovator in Multi-Sensor Data Fusion Technology

Introduction

Yingkai Long is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of online monitoring systems, particularly through his innovative patent that focuses on multi-sensor data fusion technology. His work is essential for enhancing the efficiency and reliability of transmission line monitoring.

Latest Patents

Yingkai Long holds a patent for a "Multi-sensor data fusion-based self-powered online monitoring system for transmission line." This system comprises several detection nodes, an optical communication receiving and demodulation module, and a data processing module. Each detection node is equipped with a vibration energy harvesting module, a sensing module, and an optical communication modulation and transmitting module. The system utilizes a triboelectric nanogenerator (TENG) to harvest energy, collects various types of sensing data, and transmits this data for processing. The processing involves using a weighted least square method to fuse homogeneous sensing data and a fuzzy comprehensive evaluation method to analyze heterogeneous sensing data.

Career Highlights

Yingkai Long has worked with notable organizations, including the State Grid Chongqing Electric Power Co. and the Electric Power Research Institute. He has also been associated with the State Grid Corporation of China, where he has contributed to advancements in electric power technology.

Collaborations

Yingkai Long has collaborated with esteemed colleagues such as Yongfu Li and Xiping Jiang. Their joint efforts have furthered research and development in the field of energy harvesting and data fusion technologies.

Conclusion

Yingkai Long is a key figure in the innovation of self-powered monitoring systems, with a focus on multi-sensor data fusion. His contributions are paving the way for more efficient energy management solutions.

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