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首页> 外文会议>2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics >Modeling and analysis of harbor crane work efficiency using work cycle recognition
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Modeling and analysis of harbor crane work efficiency using work cycle recognition

机译：基于工作周期识别的港口起重机工作效率建模与分析

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摘要

In harbor environment, the logistic chain consists of different types of cranes working either at the container yard or at the dock. In addition, there are separate vehicles for transferring the containers between the container yard and the dock. The work cycles of the cranes consist mostly of different types of container handling, catching and waiting tasks. Typically, it is not known beforehand which tasks are the most important in terms of the efficiency of the whole logistic chain. This paper utilizes the work cycle recognition method to analyze the work of the container cranes. In addition to the analysis of a single crane, the method can be used to analyze indirectly the efficiency of the whole logistic chain, when combined with the expert knowledge of the harbor operators. The method is implemented in two ship to shore (STS) container cranes from different harbors, and four rubber tired gantry cranes (RGT)s from three different harbors including altogether over 39000 work cycles from normal operation.
机译：在港口环境中，物流链由在集装箱堆场或码头工作的不同类型的起重机组成。另外，还有用于在集装箱堆场和码头之间转移集装箱的单独的车辆。起重机的工作周期主要由不同类型的集装箱装卸，抓取和等待任务组成。通常，就整个物流链的效率而言，事先不知道哪些任务最重要。本文利用工作周期识别方法对集装箱起重机的工作进行了分析。除了分析单个起重机外，结合港口运营商的专业知识，该方法还可用于间接分析整个物流链的效率。该方法在来自不同港口的两艘船到岸（STS）集装箱起重机和来自三个不同港口的四台橡胶轮胎式龙门起重机（RGT）中实施，包括正常运行总共超过39000个工作周期。

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