Design and Application of Online Monitoring System for the Grab-type Ship Unloader Based on Multi-source Sensing
The bridge-type grab ship unloader is one of the main ship unloading equipment at dry bulk cargo terminals. In recent years, with the continuous advancement of the construction of automated terminals, the operation mode of GSU has undergone tremendous changes, gradually shifting from operation by operators on large equipment to remote operation or automated operation. The traditional operation and maintenance of GSU is passive, and the main mode is planned maintenance. This method has problems such as poor timeliness and high cost, and is also not suitable for the development trend of automated terminals. Under such circumstances, strengthening the real-time monitoring of the operating status of GSU is particularly important. In response to the problems existing in traditional operations in this paper, the finite element modeling analysis of the mechanical structure of GSU was carried out, and combined with the daily operation and maintenance records, the main monitoring parts were determined. The overall architecture of the online monitoring system of GSU was designed, and the functional designs of the stress analysis subsystem, vibration analysis subsystem, fault diagnosis and real-time early warning subsystem of the online monitoring system of GSU were carried out, and it was applied on the port GSU. The design and application of the online monitoring system of GSU can promptly discover the potential safety hazards of the equipment and play a positive role in promoting the construction and development of automated terminals.
Authors
- Qingwei Chen
- Menghan Li (ORCID: https://orcid.org/0009-0001-9796-6471)
- Zhang Panpan
- Li Jing
- Shen Chaoyu
Institutions
- China Waterborne Transport Research Institute (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/phm-beijing63284.2024.10874626
- Citations
- 1
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.33