土木工程与管理学报2025，Vol.42Issue(1)：104-111,8.DOI:10.13579/j.cnki.2095-0985.2025.20240259
预制构件吊装延误干扰智能感知与评估
Intelligent Perception and Assessment of Precast Component Hoisting Delays
摘要
Abstract
In prefabricated building construction,the high synergy of prefabricated component hoist-ing operation causes minor schedule disruptions to accumulate,propagate and gradually increase,leading to delays and cost overruns.However,there is currently a lack of effective monitoring and as-sessment research on such disruptions.Utilizing deep learning and intelligent perception technology,a mutually coupled method for prefabricated component instance segmentation and object tracking is proposed,as well as an occlusion handling algorithm based on convolutional neural network(CNN),achieving hoisting schedule disruption monitoring based on accurate identification and tracking of pre-fabricated components.The critical path method(CPM)is adopted to evaluate the impact of disrup-tions on the schedule plan based on monitoring results,assisting in disruption response decision-mak-ing.Performance testing and field application results indicate that this method improves multidimen-sional performance metrics compared to previous related methods,enabling accurate monitoring and assessment of prefabricated component hoisting delays on construction sites,thus providing reliable decision support for managing construction schedule disruptions in prefabricated building construction.关键词
装配式建筑/预制构件吊装/进度干扰/智能感知/实例分割/目标跟踪/干扰监测与评估Key words
prefabricated building/precast component hoisting/schedule disruption/intelligent per-ception/instance segmentation/object tracking/disruption monitoring and assessment分类
建筑与水利引用本文复制引用
颜旭众,朱怡巧,张宏,陈懿园..预制构件吊装延误干扰智能感知与评估[J].土木工程与管理学报,2025,42(1):104-111,8.基金项目
国家自然科学基金青年项目(72201247) （72201247）
