计算机工程2025，Vol.51Issue(6)：385-394,10.DOI:10.19678/j.issn.1000-3428.0069033
基于动静结合互学习的预制梁工序检测方法
Detection Method of Precast Beam Process Based on Dynamic-Static Fusion Mutual Learning
摘要
Abstract
The remote location of precast beam yards,complex scenes,difficulties in data collection due to poor lighting,background interference,and degraded image quality,all create challenges for precast beam processing.This study proposes a dynamic-static mutual learning detection method for precast beam processing.The study establishes a mutual learning framework on a single-stage object-detection model.It uses data augmentation techniques to enhance the ability of a model to manage sample spatial and temporal interference,constructing a dual-branch subnetwork that combines dynamic and static features.Simultaneously,a normalization-based attention channel submodule is introduced into the network to dynamically adjust the channel weights.Through these techniques,the model becomes more adaptable to the complexity of environmental lighting and the randomness of noise interference in real scenes.To fully leverage the respective advantages of the two subnetworks,the study also proposes a positive sample alignment strategy,leveraging the inherent nonunique characteristics of a single real value's predicted bounding box in the object detection model.Consequently,a dual alignment is achieved,addressing both the quantity and distribution of bounding boxes.A precast beam process dataset based on real scenarios is constructed and used to validate the effectiveness of the proposed method.The precision and mean average precision reach 97.2％and 97.7％,respectively,at an inference speed of 78 frame/s,which meets industrial application demands and offers an effective solution for precast beam process detection and recognition.关键词
动静结合/候选框互学习/正样本对齐/工序检测识别/目标检测Key words
dynamic-static fusion/candidate box mutual learning/positive sample alignment/process detection and recognition/object detection分类
信息技术与安全科学引用本文复制引用
冯晓飞,谢诚,张秀振,董仕奎,陈军胜,叶舒,钟忺..基于动静结合互学习的预制梁工序检测方法[J].计算机工程,2025,51(6):385-394,10.基金项目
国家自然科学基金(62271361) （62271361）
山东省交通运输科技计划项目(2022B45). （2022B45）
