Mai Du

Title: Innovations of Mai Du in Monorail Transportation Technology

Introduction

Mai Du is an accomplished inventor based in Xuzhou, China, known for his significant contributions to the field of monorail transportation technology. With a total of five patents to his name, he has developed innovative solutions that enhance the efficiency and safety of unmanned driving systems.

Latest Patents

One of Mai Du's latest patents is a "Scene self-adaptive method for controlling unmanned driving of monorail hoist transportation robot." This method involves constructing an industrial internet of things platform and a digital twin system for the monorail hoist. It enables real-time control of the hoist by comparing data-driven operations with traditional driver-operated systems. The method also includes a self-adaptive program that improves loading velocity in complex scenes.

Another notable patent is the "High-precision positioning system for underground monorail hoist in coal mine and positioning method thereof." This system features gear carriers that are symmetrically arranged on an I-beam track, equipped with positioning wheels and travelling wheels. The design incorporates an inertial measuring unit and a single-chip microcomputer, ensuring precise positioning and coordination for monorail hoists in mining environments.

Career Highlights

Mai Du has worked with prestigious institutions such as the China University of Mining and Technology and Xuzhou Liren Monorail Transportation Equipment Co., Ltd. His experience in these organizations has allowed him to refine his expertise in monorail technology and contribute to groundbreaking innovations.

Collaborations

Mai Du has collaborated with notable colleagues, including Hao Lu and Zhencai Zhu, who have contributed to his research and development efforts in the field of monorail transportation.

Conclusion

Mai Du's innovative patents and career achievements highlight his significant role in advancing monorail transportation technology. His work continues to influence the industry and pave the way for future developments in unmanned driving systems.