Guangdong, China

Yuanhong Mao

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Yuanhong Mao in Intelligent Coking Monitoring

Introduction

Yuanhong Mao is a notable inventor based in Guangdong, China. He has made significant contributions to the field of intelligent coking monitoring, particularly in the context of cracking furnace tubes. His innovative work focuses on enhancing safety and efficiency in industrial processes.

Latest Patents

Yuanhong Mao holds a patent for an "Edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes and working method thereof." This platform integrates an edge layer and a cloud layer, enabling the storage and analysis of big data. It proposes optimization suggestions and feeds them back to the edge layer. The edge layer features an intelligent temperature measuring device for the outer surface of a cracking furnace tube, while the cloud layer includes various safety and diagnostic devices. This invention aims to improve the monitoring and management of cracking furnace tubes, ensuring operational safety and efficiency.

Career Highlights

Yuanhong Mao is affiliated with the Guangdong University of Petrochemical Technology. His work at the university emphasizes research and development in petrochemical technologies, contributing to advancements in industrial applications. His expertise in intelligent monitoring systems has positioned him as a key figure in his field.

Collaborations

Yuanhong has collaborated with notable colleagues, including Zhiping Peng and Qinghua Zhang. Their joint efforts have furthered research in intelligent monitoring systems and enhanced the effectiveness of their projects.

Conclusion

Yuanhong Mao's innovative contributions to intelligent coking monitoring demonstrate his commitment to improving industrial safety and efficiency. His patent reflects a significant advancement in the field, showcasing the potential of edge-cloud collaboration in industrial applications.

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