Langlong Ji

Title: Langlong Ji: Innovator in Industrial Process Soft Sensors

Introduction

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

Latest Patents

Langlong Ji 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 use. The method also includes obtaining output weights through an optimization algorithm and uploading them for weighted aggregation. This approach effectively improves the prediction performance of models while protecting data privacy, thus meeting the requirements of industrial process soft sensors.

Career Highlights

Langlong Ji is affiliated with the China University of Mining and Technology, where he continues to advance research in his field. His work has garnered attention for its practical applications in industrial settings.

Collaborations

Langlong Ji has collaborated with notable colleagues such as Wei Dai and Lanhao Wang. Their joint efforts contribute to the ongoing development of innovative solutions in industrial processes.

Conclusion

Langlong Ji's contributions to the field of industrial process soft sensors demonstrate his commitment to innovation and excellence. His work not only enhances model prediction performance but also prioritizes data privacy, making a significant impact in the industry.