Based on the intelligent application requirements for inspection and monitoring of offshore platforms,in order to effectively monitor the damage of insulation layers,the insulation layer damage dataset with multi-shape features is constructed through the methods of network search,simulation shooting,and data augmentation.The YOLOv7 model is used to detect the damage of insulation layers on offshore platforms,and the high accuracy of target identification,localization,and feature classification has been achieved,which can meet the intelligent detection requirements of robot inspections or fixed monitoring on offshore platforms.
维普
万方数据