Overtime warning of concrete pouring interval based on object detection model

doi:10.16511/j.cnki.qhdxxb.2021.26.016

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Abstract Timely, comprehensive and accurate access to the status and progress of various activities on the construction site is essential for quality control, progress tracking and productivity analysis, and is also necessary for the full realization of fine management and intelligent construction. At present, the progress recording and quality control under the concrete pouring construction scenario are still mostly done manually, leading to problems such as insufficient timeliness, misreporting and omission. In this study, the semantic segmentation and object detection technology in the field of deep learning computer vision are applied to the field of engineering construction. Real-time construction progress is obtained by identifying formwork cover ratios and the unloading event of the bucket, and the overtime warning of layer coverage time with second-level accuracy is realized.

Keywords deep learning object detection pouring of surface concrete construction

ZTFLH:	P642.2
	TU413.6

Issue Date: 08 June 2021

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	Articles by authors

	MEI Jie
	LI Qingbin
	CHEN Wenfu
	WU Kun
	TAN Yaosheng
	LIU Chunfeng
	WANG Dongmin
	HU Yu

Cite this article:

MEI Jie,LI Qingbin,CHEN Wenfu, et al. Overtime warning of concrete pouring interval based on object detection model[J]. Journal of Tsinghua University(Science and Technology), 2021, 61(7): 688-693.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2021.26.016 OR http://jst.tsinghuajournals.com/EN/Y2021/V61/I7/688

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