Jing Nan

Title: Innovations of Jing Nan in Industrial Process Soft Sensors

Introduction

Jing Nan is a prominent inventor based in Jiangsu, China. She has made significant contributions to the field of industrial process soft sensors. Her innovative work focuses on enhancing prediction performance while ensuring data privacy in industrial applications.

Latest Patents

Jing Nan holds a patent for an "Industrial process soft sensor method based on federated stochastic configuration network." This patent outlines a method that includes acquiring historical industrial process auxiliary data and corresponding product quality data. It involves 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 implementation. The method also includes obtaining output weights through an optimization algorithm and uploading them for weighted aggregation. This innovative approach effectively improves the prediction performance of models while protecting data privacy, thus meeting the requirements of industrial process soft sensors.

Career Highlights

Jing Nan is affiliated with the China University of Mining and Technology, where she continues to advance her research and development in the field of industrial processes. Her work has garnered attention for its practical applications and contributions to the industry.

Collaborations

Jing Nan collaborates with notable colleagues such as Wei Dai and Lanhao Wang. Their combined expertise enhances the research and development efforts in their respective fields.

Conclusion

Jing Nan's innovative contributions to industrial process soft sensors demonstrate her commitment to improving technology while safeguarding data privacy. Her work is a testament to the importance of innovation in advancing industrial applications.