Abstract This paper presents a method for the rational processing of ship voyage data for improved ship operation. The proposed approach is based on a physical modeling method, in which the ship resistance-propeller-engine model is first developed by using available ship information and basic hydrodynamics. For the analysis of operational scenarios in realistic environmental conditions, seaway data are retrieved from WaveWatchIII® hindcast (Tolman, 2002; WAVEWATCH, 2020). The added resistances due to wind is predicted using a standard method recommended by ITTC and the added resistance in waves using a newly developed semi-empirical method of Liu and Papanikolaou (2020). Then, the recorded speed-power data is projected to the calm water condition based on the resistance and thrust identity method. In a second step, we apply simple, yet rational, filtering criteria to filter out the data points polluted by ship's accelerations, the rate of change of course, as well as wave conditions. The developed processing and filtering method is applied to the analysis of the monitored data of three voyages of a chemical carrier and the obtained results are discussed. The prospects of extending the presented method to the study of a time-varying ship speed performance and fuel consumption analysis procedure, in which hull fouling can be studied, is briefly outlined.

中文翻译：

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合理处理监控船舶航次数据，提高运营水平

摘要 本文提出了一种合理处理船舶航次数据的方法，以改善船舶操作。所提出的方法基于物理建模方法，其中首先利用可用的船舶信息和基本流体动力学开发船舶阻力-螺旋桨-发动机模型。为了分析现实环境条件下的操作场景，从 WaveWatchIII® 后报 (Tolman, 2002; WAVEWATCH, 2020) 中检索航道数据。使用 ITTC 推荐的标准方法预测风引起的附加阻力，使用 Liu 和 Papanikolaou (2020) 新开发的半经验方法预测波浪中的附加阻力。然后，基于阻力和推力恒等法将记录的速度-功率数据投影到静水条件。第二步，我们应用简单但理性的，过滤标准过滤掉受船舶加速度、航向变化率以及波浪条件污染的数据点。将所开发的处理和过滤方法应用于化学品运输船3次航行的监测数据的分析，并对所得结果进行了讨论。简要概述了将所提出的方法扩展到研究随时间变化的船速性能和燃料消耗分析程序的前景，其中可以研究船体污垢。