Company Filing History:
Years Active: 2025
Title: Innovations by Xintong Ouyang
Introduction
Xintong Ouyang is an accomplished inventor based in Loudi, China. He has made significant contributions to the field of water quality monitoring through his innovative methods and techniques. His work focuses on optimizing the layout of water quality monitoring points, which is crucial for effective environmental management.
Latest Patents
Xintong Ouyang holds a patent for a "Layout optimization method of water quality monitoring points based on RF-C-SOM clustering algorithm." This patent describes a comprehensive approach that includes preprocessing collected water quality data to obtain preprocessed data used for analysis. The method employs water quality categories as labels to train a random forest model, determining the feature importance of various water quality indicators. Important features are selected based on their significance and model training accuracy. The process involves dimensionality reduction of the preprocessed data, followed by fuzzy clustering to classify water quality sections. The initial weight values for a self-organizing mapping algorithm are determined based on these classifications. The neurons are initialized, and a self-organizing mapping network model is trained with these initial weights. Finally, the model provides a point clustering result, which is evaluated for water quality indices before and after screening.
Career Highlights
Xintong Ouyang is affiliated with Hunan University of Technology and Business, where he contributes to research and development in environmental monitoring technologies. His innovative work has garnered attention in academic and professional circles, showcasing his expertise in the field.
Collaborations
Xintong has collaborated with notable colleagues, including Huan Li and Yongmei Xu, who have contributed to his research endeavors. Their teamwork has enhanced the quality and impact of their projects.
Conclusion
Xintong Ouyang's innovative methods in water quality monitoring represent a significant advancement in environmental science. His contributions are vital for improving water quality management practices and ensuring a sustainable future.