Fault analysis method and device of photovoltaic branch, storage medium and electronic device
The photovoltaic branch fault analysis method using thermal infrared imaging and a YOLOv8-based model addresses inefficiencies in fault detection, enabling precise identification of module faults and improving operational efficiency.
CN119251552APending Publication Date: 2025-01-03HUANENG JILIN POWER GENERATION JIUTAI ELECTRIC FACTORY +2
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Patent Information
- Application Number
- CN202411265808.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-10
- Publication Date
- 2025-01-03
AI Technical Summary
Technical Problem
Current fault detection methods for photovoltaic modules are inefficient and inaccurate, particularly in identifying small faults in thermal infrared images, which affects the economic benefits and safety of photovoltaic power generation.
Method used
A photovoltaic branch fault analysis method utilizing thermal infrared image data, preprocessing, and a fault recognition model based on the YOLOv8 algorithm, including data enhancement and model training with historical data to improve fault identification accuracy.
Benefits of technology
The method efficiently and accurately identifies various fault categories in photovoltaic modules, enhancing automation and maintenance capabilities of photovoltaic power stations.
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Figure CN119251552A_ABST
Abstract
The invention discloses a photovoltaic branch fault analysis method and device, a storage medium and an electronic device, and relates to the field of computers, and the photovoltaic branch fault analysis method comprises the steps: obtaining the thermal infrared image data of a photovoltaic branch through a thermal infrared image collection device; processing the thermal infrared image data through a fault recognition model to obtain a fault recognition result of the photovoltaic branch; analyzing the fault identification result, and determining faults and fault types included in the photovoltaic branch; with the adoption of the scheme, the problem that the fault of the photovoltaic module cannot be efficiently and accurately identified by an existing fault detection method is solved.
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