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Knowledge graph-based photovoltaic panel fault detection method and system

A fault detection and knowledge graph technology, applied in the monitoring of photovoltaic systems, photovoltaic modules, knowledge expression, etc., can solve problems such as low accuracy of photovoltaic panel fault detection, optimize fault repair strategies and solutions, improve speed and accuracy , The effect of reducing operation and maintenance costs

Pending Publication Date: 2022-04-15
HEFEI UNIV OF TECH
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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a photovoltaic panel fault detection method, system, storage medium and electronic equipment based on a knowledge map, which solves the technical problem of low accuracy of photovoltaic panel fault detection

Method used

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  • Knowledge graph-based photovoltaic panel fault detection method and system
  • Knowledge graph-based photovoltaic panel fault detection method and system

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Embodiment

[0043] First aspect, such as figure 1 As shown, the embodiment of the present invention provides a photovoltaic panel fault detection method based on knowledge graph, including:

[0044] S1. Collect historical description information of photovoltaic panels;

[0045] S2. According to the historical description information, construct a photovoltaic panel fault knowledge map;

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Abstract

The invention provides a photovoltaic panel fault detection method and system based on a knowledge graph, a storage medium and electronic equipment, and relates to the technical field of photovoltaic panel fault detection. The method comprises the following steps: collecting historical description information of a photovoltaic panel; constructing a photovoltaic panel fault knowledge graph according to the historical description information; and according to the real-time description information of the photovoltaic panel, comparing the real-time description information with the photovoltaic panel fault knowledge graph to obtain a fault detection result. According to the photovoltaic panel fault knowledge graph, the relevance between entities and between data is considered, and the fault detection speed and accuracy are improved through the powerful reasoning capability of the knowledge graph; therefore, a photovoltaic power station worker is assisted in mastering the power generation condition of the photovoltaic panel at any time, the photovoltaic power station worker is helped to optimize a photovoltaic panel fault repair strategy and scheme, and the operation and maintenance cost of the photovoltaic panel is reduced.

Description

technical field [0001] The invention relates to the technical field of photovoltaic panel fault detection, in particular to a photovoltaic panel fault detection method, system, storage medium and electronic equipment based on a knowledge map. Background technique [0002] Driven by the dual carbon goals, the photovoltaic industry has developed rapidly. As of September 2021, the installed capacity of solar power generation will be about 280 million kilowatts, a year-on-year increase of 24.6%. The photovoltaic panel is the core component of the photovoltaic power generation system, and the health status of the photovoltaic panel directly affects the stability of the output power of the photovoltaic power generation system. However, photovoltaic panels are directly exposed to the external environment, and their health status is affected by various factors such as temperature, light, wind and rain. Harsh environmental conditions can easily cause damage to photovoltaic panel batt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/51G06F16/538G06N5/02G06N5/04G06Q10/00G06Q50/06H02S50/10
CPCY02E10/50
Inventor 周开乐杨静娜李兰兰胡定定
Owner HEFEI UNIV OF TECH
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