Shang Jiang

Title: Innovations by Shang Jiang in Intelligent Detection for Near-Water Bridges

Introduction

Shang Jiang is a notable inventor based in Nanjing, China. He has made significant contributions to the field of intelligent detection methods, particularly for near-water bridges. His innovative work focuses on enhancing the safety and maintenance of infrastructure through advanced technology.

Latest Patents

Shang Jiang holds a patent for an "Intelligent detection method and unmanned surface vehicle for multiple type faults of near-water bridges." This invention introduces a sophisticated detection method that utilizes a deep learning-based network called CenWholeNet. This network is designed to automatically detect faults in images with high precision. The method also incorporates a bionics-based parallel attention module (PAM) that enhances the neural network's expressive power through spatial and channel attention mechanisms. The unmanned surface vehicle developed as part of this invention includes various modules such as a hull module, video acquisition module, lidar navigation module, and ground station module. This vehicle is capable of performing automated information acquisition from the underside of bridges without relying on GPS.

Career Highlights

Shang Jiang is affiliated with Southeast University, where he continues to advance his research and development in intelligent detection technologies. His work is pivotal in addressing the challenges associated with monitoring and maintaining near-water bridge infrastructures.

Collaborations

Shang Jiang collaborates with esteemed colleagues, including Jian Zhang and Zhili He, who contribute to his research endeavors and innovations.

Conclusion

Shang Jiang's contributions to intelligent detection methods and unmanned surface vehicles represent a significant advancement in infrastructure safety and maintenance. His innovative approach is set to enhance the reliability of near-water bridge inspections and ensure public safety.