机舱中的动力系统主机、发电机、辅机等设备在运行过程中的工作状态和性能参数不断发生变化，为了提升舰船运行的可靠性，使管理人员在集控室中能够实时监测到机舱关键设备的运行状态，必须要配置合理的机舱运行数据采集系统，并提高机舱数据采集系统的数据处理能力。粗糙集理论和包络分析理论是2种常用的数据分析理论，本文详细介绍了粗糙集理论和包络分析的原理，对舰船机舱运行数据采集系统的数据进行聚类分析，提升数据处理的效率。
The working status and performance parameters of the main engine, generator, auxiliary engine and other equipment of the power system in the engine room of the ship are constantly changing during the operation process. In order to improve the reliability of ship operation and enable the engine management personnel to monitor the operating status of key equipment in the engine room in real time in the centralized control room, it is necessary to configure a reasonable engine room operation data acquisition system and improve the data processing capacity of the engine room data acquisition system. Rough set theory and envelope analysis theory are two commonly used data analysis theories. This paper introduces the principles of rough set theory and envelope analysis in detail, and performs cluster analysis on the data of the ship engine room operation data acquisition system to improve the efficiency of data processing.
2022,44(20): 149-152 收稿日期：2022-05-05
DOI：10.3404/j.issn.1672-7649.2022.20.030
分类号：U663.82
基金项目：内蒙自然科学基金资助项目（2019MS06013）；鄂尔多斯市科技计划资助项目（2022YY041）；湖南省企业科技特派员计划资助项目（2021GK5042）
作者简介：李月洁(1978-)，女，硕士，副教授，研究方向为模式识别、智能计算及嵌入式系统
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