Photovoltaic module anomaly detection method, device and equipment and storage medium

• Main Authors: CUI QINGRU, DUAN ZHENQING, YOU ZEDONG, WANG DEJUN, LIU DIANBIN, WANG WENBIN, CUI YAHUI, YUAN TINGBI
• Format: Patent
• Language: Chinese; English
• Published: 29.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The embodiment of the invention provides a photovoltaic module anomaly detection method and device, equipment and a storage medium, and belongs to the field of photovoltaic module detection. The photovoltaic module anomaly detection method comprises the steps of obtaining current operation data and historical operation data of a photovoltaic power station, and establishing a training sample set based on the historical operation data; performing model training by using the training sample set to obtain a target deep twin network model; segmenting the target deep twin network model to obtain a feature extraction model; combining the feature extraction model with a preset classification network to obtain a combined neural network model; training the combined neural network model by using the training sample set to obtain a target combined neural network model; and based on the current operation data, performing anomaly detection on the photovoltaic module by using the target combined neural network model to obta