Photovoltaic panel fault detection method and device, electronic equipment and storage medium
By analyzing the appearance and internal monitoring data of the photovoltaic panel, calculating the index and comparing it with the threshold, the problem of failure of photovoltaic panels in the prior art is solved, and rapid and accurate fault identification and power generation efficiency improvement are achieved.
CN120342325APending Publication Date: 2025-07-18GUANGDONG POWER GRID CO LTD
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Patent Information
- Application Number
- CN202510394159.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-31
- Publication Date
- 2025-07-18
AI Technical Summary
Technical Problem
There are no relevant technologies in the prior art that analyze the monitoring data of photovoltaic panels to identify whether the photovoltaic panels have failed.
Method used
By obtaining the appearance and internal monitoring data of the photovoltaic panel, calculate the appearance and internal compliance index, and compare it with the preset threshold to determine whether the photovoltaic panel has a fault.
Benefits of technology
It realizes rapid and accurate identification of photovoltaic panel faults, reduces the fire and explosion-proof risks of potential faults, reduces maintenance costs, and improves power generation efficiency and equipment life.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120342325A_ABST
Abstract
The invention discloses a photovoltaic panel fault detection method and device, electronic equipment and a storage medium, and belongs to the technical field of fault detection, and the method comprises the steps: obtaining first photovoltaic panel monitoring data of each photovoltaic panel in a first fault monitoring region and second photovoltaic panel monitoring data of each photovoltaic panel in a second fault monitoring region; calculating a first coincidence index of each photovoltaic panel in the first fault monitoring area according to the first photovoltaic panel monitoring data; calculating a second coincidence index of each photovoltaic panel in the second fault monitoring area according to the second photovoltaic panel monitoring data; and if the first coincidence index is greater than a preset threshold value, determining that the photovoltaic panel in the first fault monitoring area has a fault, and if the second coincidence index is greater than the preset threshold value, determining that the photovoltaic panel in the second fault monitoring area has a fault. The problem that in the prior art, no related technology for recognizing whether the photovoltaic panel breaks down exists can be solved.
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