Dony Novaliendry, Rahmat Febri Yoga Saputra, Novi Febrianti, Doni Tri Putra Yanto, Fadhillah Majid Saragih, Wan Mohd Yusof Rahiman
{"title":"Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality","authors":"Dony Novaliendry, Rahmat Febri Yoga Saputra, Novi Febrianti, Doni Tri Putra Yanto, Fadhillah Majid Saragih, Wan Mohd Yusof Rahiman","doi":"10.3991/ijoe.v20i03.47101","DOIUrl":null,"url":null,"abstract":"The world is currently abuzz with the rapid development of technology in the era of Industrial Revolution 4.0. Various technological advancements are facilitating progress and accelerating the development of industrial technology. This evolution has led to automation in production processes, transitioning toward digitalization. With the implementation of sensors that provide real-time data, production processes can now be monitored remotely. However, direct monitoring is still necessary at times to periodically check the condition of each operating machine. Therefore, there is a need for technology that can monitor production processes and reduce high maintenance costs. Currently, numerous new technologies are emerging to enhance the performance and efficiency of production processes in various industries. One such technology is the digital twin. A digital twin is a visual representation that offers insights into the continuous operations of a system. This research focuses on an industrial manufacturing monitoring system that integrates the Internet of Things (IoT) and augmented reality (AR) technologies. The system is composed of an application and a prototype machine in the form of a conveyor, which can simulate a digital twin of the prototype machine. It also transmits sensor data and error notifications to the application in real time. The designed system can serve as a prototype for implementing digital twin technology, combining IoT and AR. This makes it possible to apply the technology to machinery and production tools in various industrial sectors.","PeriodicalId":507997,"journal":{"name":"International Journal of Online and Biomedical Engineering (iJOE)","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Online and Biomedical Engineering (iJOE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/ijoe.v20i03.47101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The world is currently abuzz with the rapid development of technology in the era of Industrial Revolution 4.0. Various technological advancements are facilitating progress and accelerating the development of industrial technology. This evolution has led to automation in production processes, transitioning toward digitalization. With the implementation of sensors that provide real-time data, production processes can now be monitored remotely. However, direct monitoring is still necessary at times to periodically check the condition of each operating machine. Therefore, there is a need for technology that can monitor production processes and reduce high maintenance costs. Currently, numerous new technologies are emerging to enhance the performance and efficiency of production processes in various industries. One such technology is the digital twin. A digital twin is a visual representation that offers insights into the continuous operations of a system. This research focuses on an industrial manufacturing monitoring system that integrates the Internet of Things (IoT) and augmented reality (AR) technologies. The system is composed of an application and a prototype machine in the form of a conveyor, which can simulate a digital twin of the prototype machine. It also transmits sensor data and error notifications to the application in real time. The designed system can serve as a prototype for implementing digital twin technology, combining IoT and AR. This makes it possible to apply the technology to machinery and production tools in various industrial sectors.
在工业革命 4.0 时代,全世界都在热议科技的飞速发展。各种技术进步促进了工业技术的进步和加速发展。这种演变导致生产流程自动化,向数字化过渡。随着可提供实时数据的传感器的应用,现在可以远程监控生产流程。不过,有时仍需要直接监控,以定期检查每台运行机器的状况。因此,需要能够监控生产过程并降低高昂维护成本的技术。目前,许多新技术不断涌现,以提高各行业生产流程的性能和效率。数字孪生技术就是其中之一。数字孪生是一种可视化的表现形式,能让人深入了解系统的持续运行情况。本研究的重点是集成了物联网(IoT)和增强现实(AR)技术的工业制造监控系统。该系统由应用程序和传送带形式的原型机组成,可以模拟原型机的数字孪生。它还能向应用程序实时传输传感器数据和错误通知。所设计的系统可作为实施数字孪生技术的原型,将物联网和 AR 结合在一起。这使得将该技术应用于各工业部门的机械和生产工具成为可能。