Liang Chen

Title: Innovations of Inventor Liang Chen

Introduction

Liang Chen is a notable inventor based in Changsha, China. He has made significant contributions to the field of environmental monitoring and data analysis, particularly in the context of flue dust emissions and water quality assessment. With a total of 2 patents, his work reflects a commitment to improving measurement accuracy and reducing manual workloads in industrial applications.

Latest Patents

One of Liang Chen's latest patents is titled "Method, device, and medium for predicting flue dust concentration." This invention discloses a method, a device, and a medium for predicting flue dust concentration. It calculates the flue dust emission amount of each batch of coal fed into a furnace based on hourly coal consumption. The invention generates a general rule between the data of coal fed into the furnace and the corresponding flue dust emission amount through training a prediction model. This innovation accurately identifies the relationship between material and flue dust emission, reduces workloads of manual accounting and verification, and provides a reference for Continuous Emission Monitoring Systems (CEMS) flue dust monitoring data. Additionally, it employs an Adam algorithm to optimize a Back Propagation Neural Network (BPNN), allowing for automatic adjustment of the learning rate for each parameter, thus enabling fast and efficient training of the prediction model.

Another significant patent is the "Layout optimization method of water quality monitoring points based on RF-C-SOM clustering algorithm." This method involves preprocessing collected water quality data to obtain preprocessed data used for training a random forest model. The model determines the feature importance of water quality indicators and selects important features based on this importance. The method performs dimensionality reduction on the preprocessed data and conducts fuzzy clustering to classify water quality sections. It also initializes neurons and trains a self-organizing mapping network model, ultimately obtaining a point clustering result and conducting a water quality index evaluation.

Career Highlights

Liang Chen is affiliated with Hunan University of Technology and Business, where he contributes to research and development in environmental technology. His work not only enhances the understanding of flue dust emissions but also improves water quality monitoring practices.

Collaborations

Liang collaborates with notable colleagues such as Huan Li and Changqing Su, contributing to a dynamic research environment focused on innovative solutions in environmental monitoring.

Conclusion

Liang Chen's inventions represent a significant advancement in the