YOLOX-DG机器人检测系统用于大型水下混凝土结构
Chenjie Zhang1, Hongkuan Ma1, Zhaochang Chen1
1Ocean College, Zhejiang University, Zhoushan, Zhejiang 316021, China.
iScience
|March 18, 2024
概括
一个新的灵感来自曼塔射线的机器人和YOLOX-DG算法改进了水下混凝土损坏检测. 这个机器人系统为海洋工程结构提供了准确的监控.
科学领域:
- 海洋工程 海洋工程
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 水下混凝土结构面临损坏,手动检查是低效和不准确的.
- 恶劣的海洋环境对海洋工程中的机器人应用提出了重大挑战.
研究的目的:
- 开发一种可控制的,灵感来自曼塔的水下机器人,用于收集混凝土结构损坏数据集.
- 为了提高水下混凝土损坏检测的准确性,使用一种新的算法.
- 将检测模型集成到机器人系统中,用于现实世界的海洋应用.
主要方法:
- 开发一种灵感来自曼塔的水下机器人,具有精确的可控性.
- 建议和实施YOLOX-DG算法,以提高损坏检测的准确性.
- 将YOLOX-DG算法集成到自动损坏评估的机器人系统中.
主要成果:
- 成功创建了水下混凝土结构的损坏数据集.
- 显著提高了水下混凝土损坏检测的准确性.
- 在海洋港口的海洋测试期间,集成机器人检测系统的性能令人满意.
结论:
- 灵感来自鱼的机器人检测系统为监测水下混凝土结构提供了准确而高效的解决方案.
- 在具有挑战性的海洋环境中,YOLOX-DG算法有效地提高了损害检测能力.
- 这项技术有望改善关键海洋工程基础设施的安全和维护.
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