Shenyang, China

Hanlin Zhang


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Hanlin Zhang

Introduction

Hanlin Zhang, hailing from the vibrant city of Shenyang, China, is a remarkable inventor known for his contributions to mine data processing. With a keen interest in utilizing advanced technology to enhance safety and efficiency in mining operations, Zhang has made significant strides in his field.

Latest Patents

Zhang holds a patent titled "Method and System for Recognizing Mine Microseismic Event". This innovative patent represents a breakthrough in the way mine microseismic events are recognized and analyzed. The method involves converting historical microseismic data into a microseismic waveform image, which is then transformed into a four-neighborhood microseismic waveform graph structure. By leveraging an improved convolutional neural network model, Zhang’s system effectively identifies mine microseismic events, thereby improving safety measures in mining environments.

Career Highlights

Currently, Hanlin Zhang is associated with Liaoning University, where he continues to engage in research and development focused on innovative solutions for the mining industry. His singular patent reflects his dedication to merging technology with practical applications, showcasing his ability to address real-world challenges in mines.

Collaborations

Zhang has collaborated with fellow researchers Yishan Pan and Linlin Ding, contributing to the advancement of mining technology through joint efforts and combined expertise. Their teamwork exemplifies the power of collaboration in driving innovation within the sector.

Conclusion

In summary, Hanlin Zhang is a distinguished inventor whose work in recognizing mine microseismic events has the potential to transform safety protocols in mining operations. Through his innovative approach and collaboration with esteemed colleagues, Zhang continues to push the boundaries of what is possible in mine data processing. His contributions are indeed paving the way for a safer and more efficient future in the mining industry.

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