Dehua Li

Title: Dehua Li: Innovator in Intelligent Prediction Algorithms

Introduction

Dehua Li is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of intelligent prediction algorithms, particularly in the context of analog measurement values. With a total of two patents to his name, Li's work showcases his expertise and innovative thinking.

Latest Patents

Li's latest patents include a "Self-adaptive test method for intelligent prediction algorithm of analog measured values." This method provides a systematic approach to testing intelligent prediction algorithms by utilizing historical statistics and calculated simulated measured values. The process involves reading data from various tables, calculating sensitivity, and sending alarms to technicians for algorithm adjustments when necessary.

Another notable patent is the "Method for self-adaption faster-than-real-time working condition start-up state prediction and estimation of unit." This invention focuses on estimating the start-up state of a unit by analyzing event recording sequences and historical data. It calculates abnormal state estimated values and sends pre-warnings to watchmen for preventive operations when thresholds are exceeded.

Career Highlights

Dehua Li is currently employed at CSG Power Generation Co., Ltd. His role at the company allows him to apply his innovative ideas and contribute to advancements in power generation technology. His work is characterized by a commitment to improving operational efficiency and predictive capabilities.

Collaborations

Li collaborates with talented coworkers, including Hao Zhang and Man Chen. Their combined expertise fosters a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Dehua Li's contributions to intelligent prediction algorithms and his innovative patents highlight his role as a key figure in the field. His work not only enhances the efficiency of power generation but also sets a standard for future innovations in the industry.