摘要
针对盾构管片生产中耗时长、效率低、人力成本高等问题,设计了一套自动化抹面机器人硬件系统。为了应对初次抹面后预制混凝土的质量检测需求,研发了一套基于YOLOv5特征检测算法的人机交互软件系统。通过将自动化抹面机器人搭载特征检测人机交互界面,实现了盾构管片的自动化生产过程。实际应用结果表明,YOLOv5特征检测算法对初次抹面后混凝土表面特征的缺陷检测准确度较高,且机器人具有较高的定位精度。该系统能够充分满足现实生产需求,提高了生产效率。
In addressing the challenges posed by the protracted nature of the process,its suboptimal efficiency,and the substantial labor costs incurred in the fabrication of shield segments,a novel automatic plastering robot hardware system has been conceptualized.In order to ensure the fulfillment of the quality inspection requirements for precast concrete following the initial plastering,a human-computer interaction software system has been developed.The system is founded on the YOLOv5 feature detection algorithm.The integration of the automatic plastering robot with the feature detection human-computer interface enables the automation of the shield segment production process.Empirical evidence demonstrates the efficacy of the YOLOv5 feature detection algorithm in accurately detecting defects in concrete surface features after initial plastering,while the robot exhibits high positioning precision.The system's comprehensive alignment with practical production demands ensures enhanced efficiency.
作者
胡云发
HU Yunfa(China Railway 14th Bureau Group Fangqiao Co.,Ltd,Beijing 102499,China)
出处
《光电子.激光》
北大核心
2025年第7期754-759,共6页
Journal of Optoelectronics·Laser
基金
国家重点研发计划(2018AA0103004)
天津市科技计划重大专项(20YFZCGX00550)
中铁十四局集团有限公司A类课题(913700001630559891202305)资助项目。
