A middleware for context-aware integration of power system software

J. Quintino, C. Ferraz
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Abstract

Supervisory computer systems are crucial for electric utilities to monitor the performance of the power system, analyzing equipment safety and reliability, and helping system operators understand what is happening throughout the power network. Some of those systems need to be integrated in order to support the routine operations. In most cases, however, such integration is not automatic, requiring visual access to information displayed on different screens, inference about equipment status, retyping of common data between systems, and others. This study analyzed data from a large electrical power transmission company, and found that a significant number of maintenance requests, for example, are canceled due to typing errors or inconsistencies caused by the lack of context information. This paper presents the architecture of a context-aware middleware and a prototype implementation that allows the integration between a supervisory control and data acquisition system (SCADA), which monitors the power network in real time, and other power-system software applications. It is shown that the use of context awareness has enabled the handling of information in an integrated and flexible manner, helping users make consistent decisions in the planning and supervision of a power system without having to access different screens of the software applications involved.
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电力系统软件上下文感知集成的中间件
监控计算机系统对于电力公司监控电力系统的性能,分析设备的安全性和可靠性以及帮助系统操作员了解整个电网正在发生的事情至关重要。其中一些系统需要集成以支持日常操作。然而,在大多数情况下,这种集成不是自动的,需要可视地访问显示在不同屏幕上的信息、推断设备状态、重新输入系统之间的公共数据等等。本研究分析了一家大型电力传输公司的数据,发现大量的维护请求被取消,例如,由于缺乏上下文信息导致的打字错误或不一致。本文提出了一个上下文感知中间件的体系结构和一个原型实现,该中间件允许实时监控电网的监控和数据采集系统(SCADA)与其他电力系统软件应用程序之间的集成。研究表明,使用上下文感知能够以综合和灵活的方式处理信息,帮助用户在规划和监督电力系统时做出一致的决策,而无需访问所涉及的软件应用程序的不同屏幕。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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