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基于YOLOv7模型的海上平台保温层破损目标检测研究

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基于海上平台巡检及监控的智能化应用需求,为有效监测保温层破损情况,采用网络搜索、模拟拍摄、数据增强等方法,构建包含多种形态特征的海上平台保温层破损数据集.采用YOLOv7 模型对海上平台保温层破损情况进行检测,取得了较高的目标识别、定位及特征分类精度,可满足海上平台机器人巡检或固定监控的目标智能检测需求.
Research on Target Detection of Insulation Layer Damage on Offshore Platforms Based on YOLOv7 Model
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.

offshore platformpipelineinsulation layerYOLOv7 modeldatasettarget detection

刘传彬、吕瑞升

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中海油能源发展股份有限公司采油服务分公司 天津 300452

海上平台 管道 保温层 YOLOv7模型 数据集 目标检测

2024

天津科技
天津科学技术信息研究所

天津科技

影响因子:0.253
ISSN:1006-8945
年,卷(期):2024.51(12)