基于视觉识别的高大模板支撑结构安全监控方法

池昌政; 庞博; 任江涛; 鲁寅; 李先哲; 黄铭枫

doi:10.3724/j.gyjzG23121903

基于视觉识别的高大模板支撑结构安全监控方法

doi: 10.3724/j.gyjzG23121903

1. 浙江大学结构工程研究所, 杭州 310058;
2. 浙江大华建设集团有限公司, 杭州 310012

基金项目:

国家自然科学基金(52178512)；浙江省建设科研项目(2022K137)。

详细信息

作者简介:
池昌政,硕士研究生,主要从事结构监测研究,222122272@zju.edu.cn。

通讯作者:
黄铭枫,博士,教授,主要从事结构工程和智能建造研究,mfhuang@zju.edu.cn。

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- 被引次数: 0
出版历程
- 收稿日期: 2023-12-19
- 网络出版日期: 2024-04-23

A Safety Monitoring Method for High-Formwork Support Structures Based on Computer Vision Recognition

1. Institute of Structural Engineering, Zhejiang University, Hangzhou 310058, China;
2. Zhejiang Dahua Construction Group Co., Ltd., Hangzhou 310012, China

摘要

摘要: 高大模板支撑结构的坍塌破坏事故时有发生,为保证高大模板支撑结构的施工安全,提出了一套基于计算机视觉和有限元技术的施工智能实时监测方法。根据高大模板支撑结构的杆件排布真实情况建立精细化的有限元模型并进行多种工况下的屈曲分析,得到高大模板支撑结构屈曲破坏时关键节点的竖向位移,获得施工智能实时监控的报警阈值。基于计算机视觉的智能实时监控算法,可实时监测高大模板支撑结构施工过程中的位移变化,当出现不安全位移时算法将自动报警指导排除危险、保障施工安全。施工结束后根据理论计算结果与实测结果,对有限元模型进行参数修正,并对修正后的有限元模型进行屈曲破坏分析,对比修正后屈曲竖向位移与报警阈值大小,说明报警阈值的合理性。最后将该方法应用于余杭智能电网产业基地项目C区块(国网浙江省电力有限公司综合科研试验用房)项目东侧裙房超高大模板支撑结构中,验证了所提出的施工监控新方法的有效性。
- 高大模板支撑结构 /
- 施工监控 /
- 有限元 /
- 计算机视觉 /
- 模型修正
Abstract: To ensure the construction safety of high-formwork support structures, a set of construction intelligent real-time monitoring method based on computer vision and finite element technology was proposed. A refined finite element model was established according to the real situation of the rods arrangement of the high-formwork support structure, and the buckling analysis was carried out under a variety of working conditions, so as to obtain the vertical displacement of the key joints during the buckling damage of the high-formwork support structure, and to obtain the alarm threshold value of the intelligent real-time monitoring of the construction. The intelligent real-time monitoring algorithm based on computer vision was developed to monitor the displacement changes of the high-formwork support structure in the construction process in real time, and the algorithm will automatically alarm and guide the elimination of dangers and the protection of construction safety when unsafe displacement occurs. After the construction, according to the theoretical calculation results and the actual measurement results, the finite element model was corrected parametrically, and the corrected finite element model was subjected to buckling damage analysis, and the sizes of the corrected buckling vertical displacement and the alarm threshold were compared to illustrate the reasonableness of the alarm threshold. The successful completion of a high-formwork support structure project for a multi-use building verified the effectiveness of the new construction monitoring method proposed in the paper.
- high-formwork support /
- construction monitoring /
- finite element technology /
- computer vision /
- model modification

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参考文献(17)

[1]	苏卫国,刘剑.现浇箱梁高支模满堂支架的有限元分析[J].华南理工大学学报(自然科学版),2013(2):82-87.
[2]	胡长明,汪杰,李家涛,等.混凝土浇筑过程中高支模力学响应的全程分析[J].工业建筑,2013,43(2):88-93 ,133.
[3]	曾凡奎,胡长明,闫鑫,等.扣件式钢管模板支架稳定性试验研究[J].工业建筑,2010,40(2):28-31.
[4]	杨伟军,杨永达,杨曙.轮扣式钢管支模架节点连接性能试验研究[J].工业建筑,2012,42(10):101-107.
[5]	刘卫然,于海丰,黄俊,等.轮扣式模板支撑架稳定承载力试验研究及有限元分析[J].建筑结构学报,2021,43(1):219-227.
[6]	樊冬冬,连腾欢,颜斌,等.高支模架体变形监测施工技术[J].施工技术,2017(增刊1):418-420.
[7]	李维,刘利先,吕龙.浅谈高大模板支撑结构在混凝土浇筑期间实时监测的重要性[J].建筑结构,2016,46(增刊2):599-603.
[8]	HUANG Y L, CHEN W F, CHEN H J, et al. A monitoring method for scaffold-frame shoring systems for elevated concrete formwork[J]. Computers&Structures, 2000, 78(5):681-690.
[9]	ZHANG Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
[10]	FENG D, FENG M Q, OZER E, et al. A vision-based sensor for noncontact structural displacement measurement[J]. Sensors,2015,15(7):16557-16575.
[11]	YOO J C, HAN T H. Fast normalized cross-correlation[J]. Circuits, Systems and Signal Processing,2009,28(6):819-843.
[12]	HUANG M, ZHANG B, LOU W. A computer vision-based vibration measurement method for wind tunnel tests of high-rise buildings[J]. Journal of Wind Engineering and Industrial Aerodynamics,2018,182:222-234.
[13]	叶肖伟,张小明,倪一清,等.基于机器视觉技术的桥梁挠度测试方法[J].浙江大学学报(工学版),2014,48(5):813-819.
[14]	张志华,傅继阳,饶瑞,等.基于复形法的大跨屋盖结构有限元模型修正研究[J].建筑结构,2013,43(10):21-25 ,30.
[15]	袁雪霞,金伟良,刘鑫,等.扣件式钢管模板支撑方案的模糊风险分析模型[J].浙江大学学报(工学版),2006(8):1371-1376.
[16]	蒋明华,张宗富.盘扣式支撑架有限元模型的修正方法[J].黑龙江科技大学学报,2021,31(6):753-758.
[17]	CAO J X, XIONG H B, WANG J Z, et al. Model updating for timber-framed construction using the full-scale test[J/OL]. Engineering Structures,2022,213.[2023-12-19] https://doi.org/10.1016/j.engstruct.2020.110560.