The design and implementation of the enterprise level data platform and big data driven applications and analytics

Hesen Liu, Jiahui Guo, Yu Wenpeng, Lin Zhu, Yilu Liu, Tao Xia, Rui Sun, R. Gardner
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引用次数: 7

Abstract

In order to improve the capability of utilizing big data and business intelligence in the power industry, this paper presents a comprehensive solution through building an enterprise-level data platform based on the OSIsoft PI system to support big data driven applications and analytics. The platform has the features of scalability, real time, service-oriented architecture and high reliability. Compared to traditional platforms in the power industry, the significant benefit of the innovative platform is that end users can use the data with the global model to drive the self-customized services rather than depend on IT professionals to deploy the service. The paper also describes how to implement data integration, global model construction and big data driven analytics, which are difficult to achieve with traditional solutions. Meanwhile, the paper exhibits preliminary visualization results through data analysis in real scenarios.
企业级数据平台及大数据驱动应用与分析的设计与实现
为了提高电力行业利用大数据和商业智能的能力,本文通过构建基于OSIsoft PI系统的企业级数据平台,支持大数据驱动的应用和分析,提出了一种全面的解决方案。该平台具有可扩展性、实时性、面向服务架构和高可靠性等特点。与电力行业的传统平台相比,创新平台的显著优势在于最终用户可以使用具有全球模型的数据来驱动自定义服务,而不是依赖IT专业人员来部署服务。本文还介绍了如何实现传统解决方案难以实现的数据集成、全局模型构建和大数据驱动分析。同时,通过对真实场景的数据分析,展示了初步的可视化结果。
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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