Chunhao Ding

Title: Innovations in Sewage Treatment: The Contributions of Chunhao Ding

Introduction

Chunhao Ding is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of sewage treatment through his innovative patent. His work focuses on enhancing the efficiency and reliability of sewage treatment processes.

Latest Patents

Chunhao Ding holds a patent for a "Fault monitoring method for sewage treatment process based on fuzzy width adaptive learning model." This invention discloses a method that includes two stages: offline modeling and online monitoring. The offline modeling stage utilizes a batch of normal data along with four batches of fault data as training samples to train the network. Once the network training is completed, weight parameters are obtained for online monitoring. The online monitoring stage employs newly collected data as test data, following the same steps as the offline training networks. The output result of online monitoring uses one-hot encoding to achieve zero-one discrimination, facilitating effective fault monitoring. This method allows for the incremental reconstruction of the network without the need to retrain the entire system from scratch, enabling rapid fault monitoring with high practical application value.

Career Highlights

Chunhao Ding is affiliated with the Beijing University of Technology, where he continues to contribute to research and development in sewage treatment technologies. His innovative approach has garnered attention in the field, showcasing his expertise and commitment to improving environmental sustainability.

Collaborations

Chunhao Ding has collaborated with notable colleagues, including Peng Chang and Ruiwei Lu, who have contributed to his research endeavors. Their combined efforts have further advanced the understanding and application of innovative sewage treatment methods.

Conclusion

Chunhao Ding's contributions to sewage treatment through his patented method highlight the importance of innovation in addressing environmental challenges. His work exemplifies the potential for technology to enhance efficiency and reliability in critical processes.