On May 30, 2026, Professor Yu Ying, Associate Dean of the College of Engineering at Shantou University, led faculty and students from the Intelligent Systems Innovation Class to Guangdong Jinming Precision Machinery Co., Ltd. for a practical learning and project defense activity.
Jinming Precision Machinery is a high-tech enterprise specializing in film equipment and intelligent manufacturing, boasting a domestically leading high-end film equipment production line and an intelligent manufacturing R&D center. This activity aimed to deepen the development of emerging engineering education (New Engineering), promote collaborative education between university and enterprise, enable students to experience cutting-edge intelligent manufacturing technologies in real production scenarios, and showcase the phased practical achievements of the Innovation Class.
The delegation first toured Jinming Precision Machinery's Intelligent Manufacturing R&D Center. The center's director provided a detailed introduction to the company's technological innovations and industrial applications in areas such as polymer film forming, precision extrusion control, and intelligent slitting systems. Faculty and students observed automated production line operations, intelligent control system management, and precision film product inspection processes, gaining an intuitive understanding of the entire technological system of intelligent manufacturing — from design to delivery.
Subsequently, six project teams from the Innovation Class delivered project presentations on topics including underwater inspection, intelligent monitoring, intelligent construction, rehabilitation medicine, and 3D printing. The judging panel consisted of Li Hao, Party Secretary and Deputy General Manager of Jinming Precision Machinery; Professor Wu Ming from the College of Engineering; and Associate Professor Xing Yanghui. The panel offered detailed feedback and evaluation on each project.
The Underwater Pier Inspection Robot Team addressed the challenges of high safety risks and low precision in traditional underwater inspection methods. They developed pressure-resistant sealing, six-degree-of-freedom propulsion, and image optimization algorithms. Having completed three generations of iterative development, the team has secured 3 patents, 2 software copyrights, and over 11 provincial-level or higher awards. Future plans include expanding the application to wastewater monitoring in power plants.
The UAV Intelligent Monitoring System Team utilized laser ranging, wired video links, and environmental perception technologies to achieve automatic identification and quantification of engineering hazards, significantly improving the efficiency and safety of infrastructure inspection.
The Intelligent Construction Robot Collaborative Operation System Team established a complete workflow from "drawing — modeling — printing — assembly," exploring a new paradigm for automated prefabricated construction, receiving high recognition from experts.
The Wearable Shoulder-Waist Rehabilitation Exoskeleton Team and the AI Digital Rehabilitation Exoskeleton Team focused on the medical rehabilitation field. By leveraging electromyographic signal intention recognition, multimodal perception, and control algorithm optimization, they provided lightweight and intelligent rehabilitation solutions for stroke patients and individuals with limb dysfunctions. Both teams have conducted hospital exchanges and simulation verifications, demonstrating promising clinical application potential.
The High-Efficiency Intelligent Desktop 3D Printer Team overcame challenges in automated continuous printing, optimized hardware structures and control systems, and filed multiple invention patents, contributing to the intelligent upgrading of 3D printing equipment.
Industry experts expressed strong recognition of the Innovation Class students' practical achievements, noting that the project topics closely align with the development trends of intelligent manufacturing. They emphasized that it is particularly commendable for sophomore and junior students to accomplish technological breakthroughs across multiple fields, and that the projects are closely relevant to corporate R&D practices. The experts also suggested that each project further focus on cost control, market promotion, and results commercialization, while strengthening deeper university-enterprise collaboration to facilitate the transition from technological innovation to industrial application.
This practical activity fully leveraged the advantages of collaborative university-enterprise education. Students broadened their professional horizons during the site visit and honed their engineering presentation skills during the project defenses. Jinming Precision Machinery's robust intelligent manufacturing practices provided the Innovation Class students with vivid engineering case studies, and the in-depth exchanges between the university and the enterprise laid a solid foundation for future industry-university-research cooperation. Going forward, the College of Engineering will continue to rely on the Innovation Class platform, deepen cooperation with high-quality enterprises such as Jinming Precision Machinery, and promote the translation of more scientific and technological innovations into tangible outcomes.
Text by: Zhang Jiawei
