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IoT A Diagnosis Syetem of Photovoltaic Generation Based on IoT

机译:物联网基于物联网的光伏发电诊断系统

摘要

The present invention relates to a photovoltaic power generation diagnosis system and, more specifically, to an IoT-based photovoltaic power generation diagnosis system which compares a difference of a power generation amount within grouped photovoltaic power generation devices through trend analysis of the power generation amount during the same period in the past through machine learning using artificial intelligence and the like rather than state diagnosis through comparison of an actual power generation amount with a calculated power generation predictive value of a specific photovoltaic power generation device so as to diagnose a state of the specific photovoltaic power generation device, thereby increasing accuracy of the state diagnosis. Collection of data for abnormality diagnosis is performed by using an IoT network so as to perform installation and operation of the system at a low cost and perform quick transmission and reception of the data. Moreover, the IoT-based photovoltaic power generation diagnosis system comprises a photovoltaic power generation device and a diagnosis server.
机译:光电发电诊断系统技术领域本发明涉及一种光电发电诊断系统,更具体地,涉及一种基于物联网的光电发电诊断系统,其通过趋势分析对成组的光电发电装置内的发电量的差异进行比较。通过使用人工智能等进行机器学习,而不是通过将实际发电量与特定光伏发电设备的计算出的发电预测值进行比较来进行状态诊断,从而诊断特定状态的状态,从而进行过去的同一时期的诊断光伏发电装置,从而提高了状态诊断的准确性。通过使用IoT网络来收集用于异常诊断的数据,从而以低成本执行系统的安装和操作,并执行数据的快速发送和接收。此外,基于物联网的光伏发电诊断系统包括光伏发电装置和诊断服务器。

著录项

  • 公开/公告号KR102051402B1

    专利类型

  • 公开/公告日2019-12-03

    原文格式PDF

  • 申请/专利权人 DAEEUN CO. LTD.;

    申请/专利号KR20190049891

  • 发明设计人 SONG KI TAEK;LEE CHEOL SONG;

    申请日2019-04-29

  • 分类号H02S50;G08B17/02;H02S10/20;

  • 国家 KR

  • 入库时间 2022-08-21 11:08:23

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