{"title":"通过二维码检测量化施工设备控制杆位移","authors":"Keunyoung Park, Joonsuk Kim, Hee Su Kim","doi":"10.1016/j.measurement.2025.119111","DOIUrl":null,"url":null,"abstract":"<div><div>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: <span><span>https://github.com/981boxster/qrQuantifier</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119111"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying the control lever displacement of construction equipment via QR code detection\",\"authors\":\"Keunyoung Park, Joonsuk Kim, Hee Su Kim\",\"doi\":\"10.1016/j.measurement.2025.119111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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: <span><span>https://github.com/981boxster/qrQuantifier</span><svg><path></path></svg></span>.</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"258 \",\"pages\":\"Article 119111\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224125024704\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125024704","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.