Shanghai, China

Huixian Chen

This inventor holds 1 USPTO granted patent. Top assignee: Huaneng Shanghai Shidongkou Second Power Plant. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Huixian Chen. Retrieved from https://idiyas.com/inventor/huixian-chen-ngyzk8ae

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


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Huixian Chen: Innovator in Coal Quality Prediction

Introduction

Huixian Chen is a notable inventor based in Shanghai, China. He has made significant contributions to the field of coal quality prediction through his innovative methods. His work focuses on utilizing advanced technology to enhance the efficiency and accuracy of coal mill operations.

Latest Patents

Huixian Chen holds a patent for a "Method for predicting coal quality of coal mill based on neural network." This computer-implemented method involves establishing a prediction model using a neural network structure. The process includes importing cleaned coal mill data for model training and connecting the trained prediction model with a distributed control system (DCS) in real time. This allows for the online calculation of the running coal type of the coal mill and determining the real-time running coal quality based on the calculation results. He has 1 patent to his name.

Career Highlights

Huixian Chen is currently employed at the Huaneng Shanghai Shidongkou Second Power Plant. His role involves applying his expertise in neural networks to improve coal quality prediction, which is crucial for optimizing power generation processes.

Collaborations

Some of his coworkers include Liren Zhou and Siqin Chen, who contribute to the collaborative efforts in enhancing the technology and methodologies used in their projects.

Conclusion

Huixian Chen's innovative approach to predicting coal quality demonstrates the potential of neural networks in industrial applications. His contributions are paving the way for advancements in the energy sector, particularly in coal mill operations.

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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