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Elements and Enablers of the Digital Power Plant: An Inclusive Approach to the Power Plant Digital Analytics Platform

机译:数字电厂的元素和推动器:电厂数字分析平台的包容性方法

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Today’s increasingly digitized power plants benefit from improved access to advanced analytics and fleet-wide data correlations. This paper describes the approach to this challenge taken by Mitsubishi Hitachi Power Systems (MHPS) that led to today’s MHPS-TOMONI Analytics Platform. There are a number of analytics platforms available to power plant owners and operators, some direct-connected and some cloud-based, with varying degrees of integration and flexibility to interface with multiple technology control systems and existing power plant analytics, databases and historians. MHPS chose to develop their platform by building on existing best-in-class software that is already in use in a large percentage of power plants world-wide, incorporating robust cybersecurity and adapting their internal analytics systems and processes on this platform. MHPS provides a broad portfolio of data-driven digital solutions to power plants world-wide using this platform. This paper describes the evaluation process that led to this approach and describes the advantages of this approach for power plant owners and operators. Several case studies will be discussed where advanced data analytics and fleet-wide data correlations delivered by this platform led to substantial economic benefits for the power plant owners.
机译:今天越来越多的数字化电厂可以从改进的进入高级分析和舰队 - 宽的数据相关性中受益。本文介绍了MITSUBISHI HITACHI电力系统(MHPS)的挑战的方法,这些挑战导致了今天的MHPS-TOMONI Analytics平台。发电厂所有者和运营商有许多分析平台,一些直接连接和一些基于云的,具有不同程度的集成度和灵活性,可以与多种技术控制系统和现有的电厂分析,数据库和历史学家接口。 MHPS选择通过在全球大量的电力设备中建立现有的最佳软件来开发他们的平台,并在全球电力厂,并在这个平台上采用了强大的网络安全并调整其内部分析系统和流程。 MHPS提供了一种广泛的数据驱动数字解决方案,用于使用该平台的全球电厂供电。本文介绍了导致这种方法的评估过程,并描述了该方法的发电厂所有者和运营商的优势。将讨论几种案例研究,其中该平台提供的高级数据分析和船队 - 广泛的数据相关导致电厂所有者的经济效益。

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