Web-based human-robot collaboration digital twin management and control system

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Advanced Engineering Informatics Pub Date : 2024-10-01 DOI:10.1016/j.aei.2024.102907
Xin Liu , Gongfa Li , Feng Xiang , Bo Tao , Guozhang Jiang
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Abstract

Human-robot collaboration presents a promising application in customized production. The utilization of digital twin technology, an advanced form of virtual reality interaction, is pivotal in augmenting the capabilities of human-robot collaboration by enhancing perception and interaction dynamics. Human-robot collaboration digital twins have been proposed to create collaboration strategies, simulate collaborative processes, and guarantee individual safety. Nevertheless, there remain obstacles in the implementation of digital twins within human-robot collaboration. One notable challenge involves developing a user-friendly and easily accessible digital twin management and control system that is well-suited for human-robot collaboration. The human-robot collaboration digital twin is a sophisticated system that encompasses both physical and virtual environments. Effectively managing diverse resources within this system, devising collaboration strategies, and overseeing the collaboration process is essential for the standardized utilization of digital twins in human-robot collaboration. In response to the specific requirements of digital twins in this context, a web-based system has been conceptualized and implemented for managing and controlling human-robot collaboration digital twins. The system is structured based on the browser/server architecture model. Its functional design is implemented through a modular approach. The server-side database management system chosen is MySQL, while the programming and development of the control system are carried out using the Microsoft.Net Framework 4.8 on the Visual Studio 2022 platform. The system’s functional modules are exemplified through a case study on human-robot collaborative assembly. The findings of this study offer insights that can guide the standardized management and application of digital twins within the realm of human-robot collaboration.
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基于网络的人机协作数字孪生管理和控制系统
人机协作在定制生产中的应用前景广阔。数字孪生技术是一种先进的虚拟现实交互形式,通过增强感知和交互动态,在提高人机协作能力方面发挥着关键作用。有人提出,人机协作数字孪生技术可用于创建协作策略、模拟协作流程和保障个体安全。然而,在人机协作中实施数字孪生仍存在障碍。其中一个显著的挑战是开发一个用户友好、易于访问、适合人机协作的数字孪生管理和控制系统。人机协作数字孪生是一个包含物理和虚拟环境的复杂系统。有效管理该系统内的各种资源、制定协作策略并监督协作过程,对于在人机协作中规范使用数字孪生系统至关重要。针对数字孪生在这种情况下的具体要求,我们构思并实施了一个基于网络的系统,用于管理和控制人机协作数字孪生。该系统的结构基于浏览器/服务器架构模型。其功能设计通过模块化方法实现。选择的服务器端数据库管理系统是 MySQL,而控制系统的编程和开发则是在 Visual Studio 2022 平台上使用 Microsoft.Net Framework 4.8 进行的。该系统的功能模块通过人机协作装配案例研究进行了示范。本研究的结果为指导人机协作领域数字孪生的标准化管理和应用提供了启示。
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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