基于云边融合的新一代配电物联运维技术研究

doi:10.3969/j.issn.2097-0706.2022.12.004

摘要/Abstract

摘要：

配电网覆盖面积大、设备分布广，传统巡检方式需要投入大量的人力资源。由于人力资源十分紧张，导致设备老化问题加剧，亟须通过自动化手段来承担部分人工巡检工作。随着云平台、大数据、物联网技术和综合能源市场需求的发展，数字化转型下的配电物联运维系统技术架构也在发生变化。海量信息接入、多源设备模型统一、数据安全上云等问题变得日益突显。提出一种云边融合、边缘自治的新型配电物联运维体系架构方案，采用“云端集中决策+边缘智能计算+云边统一运维”的云边融合体系架构，具有灵活、高效、开放、智能、弹性的特点，为未来综合能源占用配电网基础设施提供基础。

关键词: 综合能源, 数字化转型, 大数据, 边缘计算, 数字孪生, 智能电网, 配电运维, 云边融合, 边缘自治, 物联网

Abstract:

Power distribution networks cover a wide area and connect a massive amount of equipment，which requires substantial manpower to perform inspection by traditional methods.Considering the scarcity of labor force and aging problems of the equipment，it is urgent to replace the manual inspection with automated means.With the development of cloud platform，big data，IoT and integrated energy technologies，the technical architecture of a power distribution IoT operation and maintenance system is evolving with the digital transformation.Problems such as massive information access，unification of models for multi-source devices and cloud data security become increasingly prominent.Thus，a new power distribution IoT operation and maintenance system integrated cloud-edge collaboration and edge autonomy is proposed.The cloud-edge fusion system makes decisions at "cloud" end，implements intelligent computing closer to "edges" and makes collaborative operation and maintenance for cloud and edge.The system is flexible，efficient，open and intelligent，laying a solid foundation for the infrastructure construction of power distribution networks for integrated energy.

Key words: integrated energy, digital transformation, big data, edge computing, digital twin, smart grid, power distribution network operation and maintenance, cloud-edge fusion, edge autonomy, Internet of Things

中图分类号:

TK01：TM7

张晓瑞, 纪陵, 范仲鸣. 基于云边融合的新一代配电物联运维技术研究[J]. 综合智慧能源, 2022, 44(12): 25-32.

ZHANG Xiaorui, JI Ling, FAN Zhongming. Research on the new power distribution IoT operation and maintenance technology based on cloud-edge collaboration[J]. Integrated Intelligent Energy, 2022, 44(12): 25-32.

图/表 5

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