Mountain photovoltaic module construction management method and system based on Yolov8-OBB convolutional neural network, and medium

Abstract

The invention relates to a mountain photovoltaic module construction management method and system based on a Yov8-OBB convolutional neural network and a storage medium, and the method comprises the steps: collecting a photovoltaic module image of a mountain at a fixed point; preprocessing the image data of the photovoltaic module of the mountainous region; importing a volume neural network model based on Yolov8-OBB, and carrying out photovoltaic module image recognition; marking parameters are set, and model training is carried out on the Yov8-OBB; generating a result report; the information is uploaded to an enterprise digital intelligent construction cloud platform, classified, collected and stored; through screening and verification of data of different dimensions, completion data is formed; and uploading various data to an enterprise digital intelligent construction cloud platform to realize accumulation of enterprise engineering digital asset management information. According to the invention, intelligent management and control of construction process management can be effectively realized through deep learning and cloud cooperation. The method has remarkable advantages in the aspects of efficiency, cost and safety, and a reproducible technical path is provided for new energy engineering construction under complex terrains.

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