AI-Enabled Green and Intelligent Shipping | Zhongyun Technology Participates in the AI-Enabled Inland Waterway Green and Intelligent Vessel Technology Matchmaking Event

On the afternoon of September 8, the “Smart Green Inland Navigation: A New Chapter for Ships” event—aimed at connecting cutting-edge technologies and equipment for AI‑powered green, intelligent inland vessels—was successfully held in Hall A6 of the Wuhan International Expo Center. As a key ancillary forum to the exhibition on new technologies and equipment for green, intelligent inland shipping, the event was guided by the Wuhan Municipal Bureau of Economy and Informatization and co‑organized by the Wuhan Industrial Informatization Center, the Wuhan Enterprise Informatization Promotion Association, and Zhongyun Culture & Media (Wuhan) Co., Ltd. It brought together representatives from over a hundred leading enterprises, universities, and research institutions across the shipping, new‑energy propulsion, smart manufacturing, and digital‑information sectors, establishing an industry‑collaboration platform for government‑enterprise matchmaking, supply‑demand coordination, and the integration of industry, academia, research, and application, with the shared goal of exploring pathways toward high‑quality, intelligent, and environmentally sustainable development of inland vessels.

At the conference, Vice Dean Wu Jun of the School of Naval Architecture and Ocean Engineering at Huazhong University of Science and Technology delivered a keynote report titled “Key Technologies and Applications for Health Monitoring and Intelligent Diagnosis of Large Rotating Equipment on Ships.” For many years, Vice Dean Wu’s team has been deeply engaged in the fields of ship equipment health monitoring, intelligent fault diagnosis, and cloud–edge collaborative smart operations and maintenance. Addressing industry challenges such as the complex operating conditions, subtle fault signatures, and high maintenance difficulty associated with large rotating machinery like ship shaft lines and pump sets, they shared core technologies—including early fault detection, fault prognosis, and remaining useful life assessment—along with numerous real‑ship application cases.

Vice President Wu Jun’s team maintains a long-standing, close industry–university–research collaboration with Wuhan Zhongyun Kangchong Technology. Leveraging the university’s strengths in research innovation and the company’s expertise in engineering implementation, the two parties have jointly tackled key challenges in intelligent ship‑maintenance technologies. They have translated cutting-edge algorithms and theoretical findings from the laboratory into practical, deployable solutions, working together to bring these technologies to fruition in inland‑waterway vessel applications and address the pressing real‑world challenges of predictive maintenance for marine equipment.

Zhang Wei, Deputy General Manager of our company, delivered a presentation titled “Practical Applications of Predictive Maintenance in the Maritime Industry: An On-Site Interactive Demonstration of an Intelligent Equipment‑Maintenance Agent.” Drawing on real‑world operating conditions of inland electric vessels and conventional shipping vessels, he analyzed the limitations of traditional periodic inspections and reactive maintenance approaches, followed by a live interactive demonstration of the intelligent equipment‑maintenance agent. Leveraging jointly developed technological capabilities with universities, the solution enables multi‑source data collection, anomaly detection, and fault diagnosis and early warning, thereby shifting vessel maintenance from passive emergency repairs and scheduled overhauls to proactive predictive maintenance. This approach effectively reduces operational costs and mitigates safety risks associated with unexpected equipment failures.

The event concluded with a signing ceremony for corporate cooperation agreements. Seizing the opportunities presented by the intelligent transformation of Yangtze River inland shipping, Wuhan Zhongyun Kangchong Technology will continue to deepen its industry–university–research collaboration with the School of Naval Architecture and Ocean Engineering at Huazhong University of Science and Technology, iteratively refining its intelligent vessel‑equipment operation‑and‑maintenance agents and comprehensive predictive‑maintenance solutions. By translating cutting-edge research into deployable product capabilities, the company aims to drive high‑quality development in the green, intelligent inland‑shipping sector.