Scholarlink

With the deepening of the construction of smart grid, as the basic metering device of the power system, the stability and economy of the power grid are directly related to its operating state, and the diagnosis of traditional energy meter faults relies on manual inspection and rule judgment, inefficient and high misjudgment. Integrate cloud collaboration technology and edge computing technology to build an intelligent operation and maintenance architecture, improve the informatization and intelligence of energy meter management, and provide technical support for the digital transformation of the power grid.

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Energy Meter Self-Learning Diagnosis and Intelligent Operation and Maintenance Under Massive Data

  • 会议论文

  • 发表日期：

    2026年

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  • Fan Li,
  • He Peidong,
  • Zhang Ran,
  • Liu Sujie

摘要

With the deepening of the construction of smart grid, as the basic metering device of the power system, the stability and economy of the power grid are directly related to its operating state, and the diagnosis of traditional energy meter faults relies on manual inspection and rule judgment, inefficient and high misjudgment. Integrate cloud collaboration technology and edge computing technology to build an intelligent operation and maintenance architecture, improve the informatization and intelligence of energy meter management, and provide technical support for the digital transformation of the power grid.