Marine Research Institute, Klaipeda University, Herkaus Manto Str. 84, LT-92294 Klaipeda, Lithuania.
Department of Telecommunications, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 70800 Ostrava, Czech Republic.
Sensors (Basel). 2022 Apr 2;22(7):2752. doi: 10.3390/s22072752.
Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship's hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship's hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.
由于集装箱装卸作业的机械性质以及自然因素，集装箱和装卸基础设施在使用过程中会遭受各种类型的损坏，尤其是在船舶船体的封闭和狭窄环境中。在这种作业环境中，检测船舶船体垂直箱导槽与集装箱之间的任何物理碰撞至关重要。目前，通过目视检查过程，人工对碰撞进行检查并评估任何后果。该过程耗时且依赖于相关人员的技术专长。在本文中，我们提出了一种五步碰撞检测方法（IDM），旨在仅根据加速度数据检测最显著的碰撞事件。我们使用放置在码头起重机吊具上的感应设备在集装箱码头进行了实际测量。所提出的解决方案在常见的装卸作业中识别出了平均 12.8 个集装箱与垂直箱导槽的碰撞事件。此外，结果表明，所提出的 IDM 可用于识别船舶每个舱段同一空间内的重复碰撞事件，并且可用作预测性维护系统的决策支持工具。
