Mr. Haichuan Han Profile

Haichuan Han

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Proceedings Article | 5 June 2024 Paper

Research on dynamic monitoring and analysis technology for key parameters of port lifting machinery

Shaohui Li, Haichuan Han, Yuanyuan Cao

Proceedings Volume 13163, 1316344 (2024) https://doi.org/10.1117/12.3030320

KEYWORDS: Vibration, Sensors, Data processing, Data transmission, Data acquisition, Analytical research, Transportation, Safety, Liquids, Databases

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Ports were important water and land transportation hubs. Intelligence, automation, networking, and platformization were the future development trends of ports. The the requirement of real-time monitoring the health status of port machinery was particularly important. A technology was proposed to achieve dynamic monitoring and analysis of key parameters for port lifting machinery. A structure based on the 5G network was designed to finish multi-channel data acquisition, on-line data analysis, massive data transmission, deep data mining, device fault diagnosis and health management. The preprocessing algorithms were used to obtain the valid data and the preliminary assessment of machinery health status were obtained through edge computing. A serial of fault models were stored in the remote server which would provide auxiliary analysis and decision-making. The dynamic monitoring and analysis equipment was produced and the experiments on the port lifting machinery was conducted. The results showed that the technology could accurately identify the port machinery faults and provide warning messages according to the proposed discrimination criteria. Thus the safety risks of port lifting machinery operations would be reduced and the intelligence level of the port would be improved effectively.

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