Company Filing History:
Years Active: 2019-2025
Title: Innovations of Xiaoli Luan in Product Quality Prediction
Introduction
Xiaoli Luan is a prominent inventor based in Wuxi, China. He has made significant contributions to the field of product quality prediction and regulation. With a total of 8 patents, Luan's work focuses on enhancing the accuracy and efficiency of processes in various industries.
Latest Patents
One of Luan's latest patents is titled "Real-time prediction and regulation methods and systems of product quality based on process dynamic pattern." This invention provides a comprehensive approach to predicting and regulating product quality in real-time. The method involves constructing a state space probability model and optimizing its parameters to ensure that product quality remains at an optimal level.
Another notable patent is the "Knowledge reuse-based method and system for predicting cell concentration in fermentation process." This invention addresses the challenges of weak generalization in soft sensor models and high costs associated with establishing separate models for different fermentation stages. By improving prediction accuracy, this method enhances the efficiency of fermentation processes.
Career Highlights
Xiaoli Luan is affiliated with Jiangnan University, where he continues to advance research in his field. His innovative approaches have garnered attention and recognition within the academic and industrial communities. Luan's work exemplifies the integration of theoretical knowledge with practical applications.
Collaborations
Luan has collaborated with notable colleagues, including Fei Liu and Zhiguo Wang. These partnerships have contributed to the development of his innovative patents and have fostered a collaborative research environment.
Conclusion
Xiaoli Luan's contributions to product quality prediction and regulation demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of complex processes and a dedication to improving industry standards. Through his work, Luan continues to influence the field and inspire future advancements.