钢筋网下混凝土智能振动系统模拟试验

IF 3.1 3区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Buildings Pub Date : 2024-07-23 DOI:10.3390/buildings14082277
Hongyu Liang, Zhigang Wu, Jifeng Hu, Yuannan Gan, Sheng Qiang
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引用次数: 0

摘要

混凝土振动施工存在劳动强度大、施工环境差、质量控制难等问题。目前对混凝土振动的研究主要集中在监测振动质量、定量评估振动过程以及评估无钢筋网混凝土(素混凝土)的机械振动。钢筋网下混凝土振动的标准化工作仍然困难重重。在返工质量评估和人力物力消耗方面仍然存在滞后现象。针对这些问题,提出了一种基于自动化控制技术、机器视觉和运动学建模的振动机械臂系统。对钢筋网下的智能混凝土振动进行研究和模拟试验,旨在提高施工效率和质量。带有视觉模块的五自由度机械臂可识别图像中的每个钢筋网格中心,提取像素坐标,并通过整合机器视觉算法将其转换为机械坐标。此外,还引入了振捣器点筛选算法,根据特定的插入间距确定实际的振捣器点位置,同时还引入了用于垂直运动的振捣器模块。利用 YOLOv5 目标检测模型对振动质量进行实时评估。模拟测试证实了通过振动机械臂系统对钢筋网下的混凝土进行自动振动控制的可行性。这项研究为钢筋网下混凝土中的无人振动技术提供了一种新方法,支持了未来具有实用价值的相关技术进步。
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Simulation Test of an Intelligent Vibration System for Concrete under Reinforcing Steel Mesh
Concrete vibration construction sustains high labor intensity, a poor working environment, difficulties in quality control, and other problems. Current research on concrete vibration focuses on monitoring vibration quality, evaluating vibration processes quantitatively, and assessing mechanical vibration of unreinforced mesh concrete (plain concrete). Standardizing concrete vibration under reinforcing steel mesh remains difficult. There is still a lag in the evaluation of the quality of rework and the consumption of human and material resources. To tackle these issues, a vibrating robotic arm system based on automation control technology, machine vision, and kinematic modeling is proposed. Research and simulation tests on intelligent concrete vibration under reinforcing steel mesh aim to enhance construction efficiency and quality. A five-degree-of-freedom robotic arm with a vision module identifies each rebar grid center in the image, extracts the pixel coordinates, and converts them to the mechanical coordinates by the integration of machine vision algorithms. A vibrator point screening algorithm is introduced to determine actual vibrator point locations based on specific insertion spacing, alongside a vibro-module for vertical movement. Real-time assessment of vibration quality is achieved using the YOLOv5 target detection model. Simulation tests confirm the feasibility of automated concrete vibration control under reinforcing steel mesh by a vibrating robot arm system. This research offers a new approach for unmanned vibration technology in concrete under reinforcing steel mesh, supporting future related technological advancements with practical value.
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来源期刊
Buildings
Buildings Multiple-
CiteScore
3.40
自引率
26.30%
发文量
1883
审稿时长
11 weeks
期刊介绍: BUILDINGS content is primarily staff-written and submitted information is evaluated by the editors for its value to the audience. Such information may be used in articles with appropriate attribution to the source. The editorial staff considers information on the following topics: -Issues directed at building owners and facility managers in North America -Issues relevant to existing buildings, including retrofits, maintenance and modernization -Solution-based content, such as tips and tricks -New construction but only with an eye to issues involving maintenance and operation We generally do not review the following topics because these are not relevant to our readers: -Information on the residential market with the exception of multifamily buildings -International news unrelated to the North American market -Real estate market updates or construction updates
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