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A data warehousing system for knowledge-based structural health monitoring of wind power plant

机译:一种基于知识的风电厂结构健康监测数据仓库系统

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In this paper we present a data warehouse system for an integrated and knowledge-based structural health monitoring of wind turbine. The system has been developed in the context of an interdisciplinary research, MikE, for feasibility study of applying knowledge-based methods towards proactive monitoring of wind energy plants. The goal of the system is to integrate the data collected from the computer facing the sensors and store it in a centralized data warehouse to enable researchers to share common data repository. This in-house developed system enables the study of interdependence of variables that is not realistic in online monitoring. It also enables integrated access for multiple researchers/users synchronously. We built prototype system that collects and integrates data, visualizes data, analyses and presents the processed information in a usable form for supporting decision making activities.
机译:在本文中,我们提出了一种用于集成和基于知识的风力发电机结构健康监测的数据仓库系统。该系统是在跨学科研究MikE的背景下开发的,用于将基于知识的方法应用于风能电厂的主动监控的可行性研究。该系统的目标是整合从面向传感器的计算机收集的数据,并将其存储在集中式数据仓库中,以使研究人员可以共享公共数据存储库。这种内部开发的系统可以研究变量之间的相互依赖性,这在在线监控中是不现实的。它还使多个研究人员/用户能够同步访问集成。我们构建了原型系统,该系统可以收集和集成数据,可视化数据,分析并以可用形式提供处理后的信息,以支持决策活动。

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