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

机译:风电厂基于知识结构健康监测的数据仓储系统

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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,我们为风力涡轮机的集成和知识的结构健康监测提供了一种数据仓库系统。该系统已在跨学科研究的背景下开发,用于可行性研究,用于应用基于知识的方法朝向风能厂的主动监测。该系统的目标是集成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,以使研究人员能够共享常见的数据存储库。这个内部开发系统能够研究在线监测中不现实的变量的相互依存。它还可以同步地实现多个研究人员/用户的集成访问。我们构建了收集和集成数据的原型系统,可视化数据,分析并以可用形式提出处理后的信息,以支持决策活动。

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