Nanchang, China

Yanli Zhou


Average Co-Inventor Count = 6.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Yanli Zhou: Innovator in Train Operation Control

Introduction

Yanli Zhou is a prominent inventor based in Nanchang, China. He has made significant contributions to the field of vehicle braking control and urban train operation optimization. With a total of two patents to his name, Zhou's work focuses on enhancing the efficiency and safety of train systems.

Latest Patents

Zhou's latest patents include a "Cooperative control method for electro-hydraulic hybrid braking of middle-low speed maglev train." This innovative method addresses the challenges of braking control in maglev trains by utilizing a controlled autoregressive integrated moving average model. The process involves denoising operation data, establishing a predictive control model, and improving control accuracy and speed tracking effects.

Another notable patent is the "Method and system for multi-objective optimization of urban train operation." This invention constructs a multi-objective optimization model that considers various factors such as speed limits, slope information, and curve radius. By employing a multi-objective differential evolution algorithm, Zhou's method generates optimal train speed curves, enhancing operational efficiency.

Career Highlights

Yanli Zhou has worked with esteemed institutions, including East China Jiaotong University and CRSC Research & Design Institute Group Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas in train operation and control systems.

Collaborations

Zhou has collaborated with various professionals in his field, including his coworker Qi Wang. Their joint efforts have contributed to the advancement of train operation technologies.

Conclusion

Yanli Zhou's contributions to train operation control and optimization demonstrate his commitment to innovation in the transportation sector. His patents reflect a deep understanding of the complexities involved in train systems, paving the way for safer and more efficient travel.

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