The invention discloses a tug operation power switching auxiliary decision-making method and system, and the method comprises the following steps: obtaining the historical operation information and operation state of a tug, and building a power switching analysis model; acquiring tug real-time operation information; performing clustering analysis on the real-time operation information, and judging the operation state of the tug; and inputting the real-time operation information and the operation state into the power switching analysis model to obtain a tug power switching suggestion. The tug state is judged by obtaining state information, a machine learning method is adopted, theoretical data and actual operation experience of tug operation power switching opportunity are combined, the accuracy of power demand prediction and power switching prediction is improved, and tug energy consumption management is more refined.
本发明公开了一种拖轮作业动力切换辅助决策方法及系统,拖轮作业动力切换辅助决策方法包括以下步骤:获取拖轮历史作业信息及作业状态,建立动力切换分析模型;获取拖轮实时作业信息;对实时作业信息进行聚类分析,判断拖轮的作业状态;将实时作业信息、作业状态输入动力切换分析模型,得到拖轮动力切换建议。通过获取状态信息判断拖轮状态,采用机器学习的方法,实现拖轮作业动力切换时机的理论数据和实际操作经验结合,提高动力需求预测和动力切换预测的准确性,使得拖轮的能耗管理更加精细化。
Trailer operation power switching auxiliary decision-making method and system
一种拖轮作业动力切换辅助决策方法及系统
2024-08-20
Patent
Electronic Resource
Chinese
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