Knowledge graph-based photovoltaic panel fault detection method and system

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...

AI Technical Summary

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

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