Research on Edge Cloud Architecture of Intelligent Power Plant

Zhangming Zhao, Lin Wang, Ling Zha, Wenyu Wang, Linjuan Gong, Yaokui Gao, Haidong Gao, Yangxiang Lei, Jinghao Dong
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Abstract

Driven by the carbon peaking and carbon neutrality goals, the transformation and upgrading of the energy system is an inevitable trend. The market environment faced by power generation enterprises is increasingly complex and fierce. The construction of intelligent power plant will greatly improve the core competitiveness of power generation enterprises. In the process of research and application of intelligent power plant, while bringing many intelligent and convenient applications, it also faces more and more new problems. The problem is summarized and analyzed in this paper, and on this basis, an edge cloud architecture for intelligent power plant is proposed, which provides a new idea for the construction of intelligent power plant. Based on hyper-converged infrastructure, the architecture integrates data analysis and modeling, container, unified data convergence management, cloud-edge collaboration and other technologies, realizing the transformation of intelligent power plant from traditional IT mode to hyper-converged mode.
智能电厂边缘云架构研究
在碳调峰和碳中和目标的推动下,能源系统转型升级是必然趋势。发电企业面临的市场环境日益复杂和激烈。智能电厂的建设将大大提高发电企业的核心竞争力。在智能电厂的研究和应用过程中,在带来许多智能化、便捷化应用的同时,也面临着越来越多的新问题。本文对存在的问题进行了总结和分析,并在此基础上提出了智能电厂的边缘云架构,为智能电厂的建设提供了新的思路。该架构基于超融合基础设施,集成了数据分析建模、容器、统一数据融合管理、云边缘协作等技术,实现了智能电厂从传统IT模式向超融合模式的转变。
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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