This inventor holds 1 USPTO granted patent. Top assignee: Csg Power Generation Co., Ltd.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovator Zhenglin Xiang: Pioneering Intelligent Prediction Algorithms
Introduction
Zhenglin Xiang, a noted inventor based in Guangzhou, China, has made significant contributions to the field of intelligent prediction algorithms. His innovative approach brings a self-adaptive testing methodology that enhances the reliability and accuracy of analog measurement systems.
Latest Patents
Zhenglin Xiang holds a patent for a "Self-adaptive test method for intelligent prediction algorithm of analog measured values." This patent introduces a comprehensive process for employing historical statistics to improve the performance of analog measurements. The method includes reading data from various tables, processing operation records of normal states, and calculating simulated measured values. Additionally, it establishes a sensitivity threshold to trigger alerts for technicians when adjustments to the algorithm are necessary.
Career Highlights
Zhenglin is currently associated with CSG Power Generation Co., Ltd., where he applies his expertise in developing advanced predictive algorithms. His work, which blends innovative thinking with practical applications, has positioned him as a valuable asset in the energy sector.
Collaborations
Throughout his career, Zhenglin has collaborated with industry professionals, including his coworker Man Chen, to foster innovation within their projects. Together, they navigate complex challenges in the realm of power generation, ensuring the implementation of cutting-edge technological solutions.
Conclusion
Zhenglin Xiang’s inventive spirit and dedication to improving analog measurement systems illustrate the profound impact that one inventor can have on technology and industry. His patented methods not only advance the efficiency of predictive algorithms but also enhance the operational integrity of power generation processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile