通过二维码检测量化施工设备控制杆位移

IF 5.6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Keunyoung Park, Joonsuk Kim, Hee Su Kim
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引用次数: 0

摘要

对施工设备的运行特性进行分析的需求日益增加。因此,对施工设备的各个操作过程进行严密的提取是十分重要的。然而,由于施工设备的性质,由于其具有许多关节和闭塞区域,因此很难提取其所有运动。在本文中,我们提出了一种量化控制杆位移的系统和方法,以感知施工设备的操作过程。将快速反应码(QR码)贴在控制杆上,并由摄像头识别,以量化控制杆的位移。该系统只需要打印二维码和一个室内摄像头,安装方便,成本低。我们验证了当使用电动叉车从上到下移动控制杆时,控制杆的位置在数值上得到了反映。我们还确认,控制杆的位移是通过执行实际叉车操作得出的。将控制杆的运动量化为位移的实验视频可以在https://github.com/981boxster/qrQuantifier上观看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying the control lever displacement of construction equipment via QR code detection
There is an increasing need to analyze the operational characteristics of construction equipment. Thus, it is important to closely extract each operating process of construction equipment. However, owing to the nature of construction equipment, it is difficult to extract all their movements because they have many joints and occluded areas. In this paper, we propose a system and method for quantifying the displacement of a control lever to sense the operating processes of construction equipment. Quick response (QR) codes were attached to the control lever and recognized by a camera to quantify the displacement of the control lever. This system has the advantages of easy installation and low cost because it only requires printed QR codes and an indoor camera. We verified that the position of the control lever is numerically reflected when the control lever moves from top to bottom using an electric forklift. We also confirmed that the displacement of the control lever is derived by performing actual forklift operations. Experimental videos quantifying the movement of the control lever as displacement can be viewed at: https://github.com/981boxster/qrQuantifier.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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