The national finals of the 2026 Advantech National AIoT Innovation Application Competition recently concluded at the Advantech Plus Technology Center (A+TC) in Kunshan. YSU’s “Yanyun Zhixing” team, supervised by Jiang Wanlu and Zhang Sheng from the School of Mechanical Engineering, emerged as the grand champion of the Industrial Challenge Track, earning the “AIoT Future Star” award for their project, “Intelligent Fleet Operation and Maintenance System for Self-Propelled Modular Transporters.”
Yanyun Zhixing Team at the National Finals Awards Ceremony
Leveraging its longstanding expertise in fault diagnosis and predictive maintenance, the team developed intelligent fault diagnosis methods and a fleet operation and maintenance system to address key challenges in managing heavy-duty specialized transport vehicles. The system provides centralized monitoring and control of multiple self-propelled modular transporters, allowing operators to quickly detect anomalies, pinpoint faults, and support reliable heavy-duty fleet operations.
Cloud-Edge Collaborative Architecture of the Intelligent Fleet Operation and Maintenance System for Self-Propelled Modular Transporters
The project spanned the full development cycle, encompassing algorithm design, edge-based data acquisition and preprocessing, cloud deployment of diagnostic models, communication protocol development, and coordinated visualization and monitoring across multiple terminals. Working closely together during preparations for the competition, the team conducted repeated integration testing to address challenges in data transmission, device communication, and diagnostic result synchronization, ultimately delivering a stable, demonstration-ready system. At the national finals, the team used measured signals and a simulated 15-vehicle fleet environment to showcase core capabilities such as parameter anomaly monitoring, intelligent fault diagnosis, fleet health assessment, and cloud-edge data coordination. Their technical presentation and live demonstration highlighted the project’s technical strengths and potential for industrial applications.
Live Demonstration Platform of the Intelligent Fleet Operation and Maintenance System for Self-Propelled Modular Transporters
The award underscores YSU graduate students’ capacity for innovation and practical problem-solving in their fields of expertise. Addressing industry-specific challenges, the team continuously refined its solution through hardware-software integration and testing, gaining valuable hands-on experience in applying intelligent diagnostic technologies to heavy-duty equipment fleet operations and maintenance. This work laid a solid foundation for continued research and iterative system improvements.
Organized by the China Association for Mechatronics Technology and Application, the competition promoted industrial digitalization and intelligent transformation, with tracks covering intelligent manufacturing, smart energy, and smart cities. By providing industrial cloud platforms, hardware, training, and technical support, it enabled university teams to complete the full research and development cycle, from solution design and system development to prototype validation. The event also fostered the translation of research into practical applications and the development of engineering talent. Out of the 237 university teams that registered the competition nationwide, 31 advanced to the national finals, including teams from Huazhong University of Science and Technology, Nanjing University of Science and Technology, and YSU.
