Jiangsu, China

Lanhao Wang


 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Lanhao Wang: Innovator in Industrial Process Soft Sensors

Introduction

Lanhao Wang is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of industrial process soft sensors, particularly through his innovative patent. His work focuses on enhancing prediction performance while ensuring data privacy in industrial applications.

Latest Patents

Lanhao Wang holds a patent for an "Industrial process soft sensor method based on federated stochastic configuration network." This method involves acquiring historical industrial process auxiliary data and corresponding product quality data. It includes finding optimal hidden layer parameters and processing them through a central server to obtain global parameters. These parameters are then downloaded to each factory for local model use. The method also optimizes output weights through an algorithm and ensures that modeling is completed without adding new nodes when certain conditions are met. This innovation effectively improves the prediction performance of models while protecting data privacy, thus meeting the requirements of industrial process soft sensors.

Career Highlights

Lanhao Wang is affiliated with the China University of Mining and Technology, where he contributes to research and development in his field. His work has garnered attention for its practical applications in industrial settings.

Collaborations

Lanhao Wang has collaborated with notable colleagues such as Wei Dai and Liang Dong. Their joint efforts have further advanced the research and development of innovative solutions in industrial processes.

Conclusion

Lanhao Wang's contributions to the field of industrial process soft sensors highlight his innovative spirit and commitment to improving industrial applications. His patent demonstrates a significant advancement in the integration of data privacy and predictive modeling.

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