The hydrodynamic performance of a sea-going ship can be analysed using the data obtained from the ship. Such data can be gathered from different sources, like onboard recorded in-service data, AIS data, and noon reports. Each of these sources is known to have their inherent problems. The current work gives a brief introduction to these data sources as well as the common problems associated with them, along with some examples. In order to resolve most of these problems, a streamlined semi-automatic data processing framework for fast data processing is developed and presented here. The data processing framework can be used to process the data obtained from any of the above three mentioned sources. The framework incorporates processing steps like interpolating weather hindcast (metocean) data to ship's location in time, deriving additional features, validating data, estimating resistance components, data cleaning, and outlier detection. A brief description of each of the processing steps is provided with examples from existing datasets. The processed data can be further used to analyse the hydrodynamic performance of a ship.
翻译:利用从船上获得的数据,可以分析远洋船舶的流体力学性能。这些数据可以从不同来源收集,如船上记录的在职数据、AIS数据和中午报告。每个来源已知都有其固有的问题。目前的工作简要介绍了这些数据来源以及与之相关的共同问题,并举了一些例子。为了解决大部分这些问题,在这里制定并提供了用于快速数据处理的简化半自动数据处理框架。数据处理框架可用于处理从上述三个来源中的任何一种来源获得的数据。这个框架包括处理步骤,如将气象测深(Metocean)数据内插到船舶的及时位置,得出额外特征、核实数据、估算抗药性成分、数据清理和外部探测。对每个处理步骤的简要说明,以现有数据集为例。经过处理的数据可用于进一步分析船舶的流体力学性能。