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Application research of photovoltaic power station operation and maintenance system based on Internet of Things technology

Published: 15 March 2023 Publication History

Abstract

In order to adapt to the current high-quality development situation of the photovoltaic industry and improve the operation and maintenance efficiency of the photovoltaic power generation system while reducing the operating cost of the power station, it is inevitable to apply the Internet of Things technology to the operation and maintenance process of the photovoltaic power station. This paper first analyzes the defects of the operation and maintenance of the traditional photovoltaic power station, emphasizes the importance of applying the Internet of Things technology when changing the traditional operation and maintenance mode, then sorts out the existing operation and maintenance work methods based on the Internet of Things technology, and expounds its work content, system configuration and core technical issues, and finally prospects the application prospect of the Internet of Things technology in the operation and maintenance system of the photovoltaic power station.

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EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2023

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Author Tags

  1. Distribution network planning
  2. Internet of Things
  3. Photovoltaic power generation

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EITCE 2022

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Overall Acceptance Rate 508 of 972 submissions, 52%

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