Hexiang Yan

Title: Innovations by Hexiang Yan in Water Distribution Systems

Introduction

Hexiang Yan is a notable inventor based in Shanghai, China. He has made significant contributions to the field of water distribution systems, focusing on methods to detect leaks and pipe bursts. With a total of 3 patents, his work has the potential to enhance the efficiency and reliability of water management.

Latest Patents

One of his latest patents is a method for acquiring the water leakage amount of a leakage area in a water distribution system. This invention involves coupling a hydraulic model with monitored data to optimize the spatial distribution of water leakage amounts. By utilizing an optimization algorithm, the method effectively identifies leakage areas in systems with high leakage rates.

Another significant patent is a method for detecting pipe bursts in water distribution systems based on pressure disturbance extraction. This method includes steps such as collecting monitored pressure data, analyzing time-domain and frequency-domain features, and identifying outliers using an isolation forest algorithm. This approach offers accurate and reliable detection of pipe bursts, making it suitable for large-scale complex water distribution systems.

Career Highlights

Hexiang Yan has worked with reputable organizations, including Tongji University and Dow Silicones Corporation. His experience in these institutions has contributed to his expertise in water distribution technologies.

Collaborations

He has collaborated with notable individuals in his field, including Kunlun Xin and Tao Tao. Their joint efforts have likely advanced the research and development of innovative solutions in water management.

Conclusion

Hexiang Yan's contributions to water distribution systems through his innovative patents demonstrate his commitment to improving water management technologies. His work not only addresses critical issues such as leaks and pipe bursts but also enhances the overall efficiency of water distribution systems.