This inventor holds 2 USPTO granted patents. Top assignees: Shandong University, Shandong Hi-Speed Group Co., Ltd., Shandong Jianzhu University. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2025-2026
Title: Yuanshun Qian: Innovator in Intelligent Construction Control
Introduction
Yuanshun Qian is a notable inventor based in Jinan, China. He has made significant contributions to the field of geotechnical engineering, particularly through his innovative approaches to construction control methods.
Latest Patents
One of Yuanshun Qian's key patents is titled "Intelligent construction control method, apparatus and system for mixing pile with split-grouting." This invention provides an intelligent construction control method that utilizes real-time perception information from a construction information self-perception system. The system includes various parameters such as drilling depth, drilling rig output power, drill bit torque, drill rod axial force, and pore water pressure of the drill bit. By employing a trained machine-learning model, the invention establishes a nonlinear implicit correspondence relationship between the perception information and construction stratum conditions. This allows for the output of real-time stratum state information, which is then used to determine optimal construction parameters dynamically.
Career Highlights
Yuanshun Qian has worked with prominent organizations, including Shandong University and Shandong Hi-speed Group Co., Ltd. His experience in these institutions has contributed to his expertise in construction technology and innovation.
Collaborations
Throughout his career, Yuanshun Qian has collaborated with notable colleagues such as Peizhi Zhuang and Chuanyi Ma. These partnerships have further enhanced his research and development efforts in the field.
Conclusion
Yuanshun Qian's innovative work in intelligent construction control exemplifies the potential of integrating machine learning with geotechnical engineering. His contributions are paving the way for advancements in construction methodologies and practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile