Jun Zhao

Title: Innovations and Contributions of Inventor Jun Zhao

Introduction

Jun Zhao is a prominent inventor based in Liaoning, China. He has made significant contributions to the field of information technology and the steel industry through his innovative patents. With a total of five patents to his name, Zhao's work focuses on improving operational efficiency and predictive modeling in industrial settings.

Latest Patents

One of Zhao's latest patents is titled "Method for predicting oxygen load in iron and steel enterprises based on production plan." This method utilizes actual industrial operation data to extract relevant information, analyze influencing factors, and establish a neural network prediction model for oxygen consumption in converter steel-making. The model evaluates the mean square error and provides predictions for oxygen load during the blowing stage of production.

Another notable patent is "Method for construction of long-term prediction intervals and its structural learning for gaseous system in steel industry." This invention combines fuzzy modeling, reinforcement learning, and parallel computing techniques to create a multi-layer structure for predicting gaseous generation and consumption. By employing real industrial data, Zhao's method enhances prediction accuracy and computing efficiency, making it applicable to various energy systems within the steel industry.

Career Highlights

Jun Zhao is affiliated with Dalian University of Technology, where he contributes to research and development in his field. His work has garnered attention for its practical applications and innovative approaches to solving complex industrial challenges. Zhao's expertise in neural networks and predictive modeling has positioned him