This inventor holds 1 USPTO granted patent. Top assignee: Huaneng Shanghai Shidongkou Second Power Plant. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Xuehai Wang in Coal Quality Prediction
Introduction
Xuehai Wang is an accomplished 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 technologies to enhance the efficiency and accuracy of coal mill operations.
Latest Patents
Xuehai Wang holds a patent for a method titled "Method for predicting coal quality of coal mill based on neural network." This computer-implemented method involves establishing a prediction model based on 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. The method calculates the running coal type of the coal mill online and determines the real-time running coal quality based on the calculation results. He has 1 patent to his name.
Career Highlights
Xuehai Wang is currently employed at the Huaneng Shanghai Shidongkou Second Power Plant. His role involves applying his innovative methods to improve coal quality prediction and enhance operational efficiency. His expertise in neural networks and data analysis has positioned him as a valuable asset in the energy sector.
Collaborations
Xuehai Wang has collaborated with notable colleagues, including Liren Zhou and Siqin Chen. Their combined efforts contribute to the advancement of technologies in coal quality prediction and related fields.
Conclusion
Xuehai Wang's innovative approach to predicting coal quality through neural networks showcases his commitment to improving energy efficiency. His contributions are significant in the realm of coal mill operations, and his work continues to influence the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile