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arXiv 2312.13076cs.ROcs.SYeess.SY

如何将数字孪生与虚拟现实集成到机器人系统中?为数据中心提供机器人维护服务的设计与实现

How to Integrate Digital Twin and Virtual Reality in Robotics Systems? Design and Implementation for Providing Robotics Maintenance Services in Data Centers

University of Twente(特文特大学);Beijing Hanning Tech Co., Ltd(北京汉宁科技有限公司)

Lin Xie, Hanyi Li

AI总结:

本文提出一种将数字孪生与虚拟现实集成到机器人系统中的概念,并应用于数据中心维护,通过自主机器人实时监控和虚拟现实界面实现更快、更经济、更高质量的维护服务。

摘要:

在工业4.0的背景下,物理世界与数字世界紧密相连,机器人被广泛应用于实现系统自动化。数字孪生解决方案对工业4.0的发展做出了重要贡献。结合多种技术是旨在提高系统性能的一种趋势。例如,在自动化系统中,数字孪生可以与虚拟现实相结合。本文提出了一种新概念来阐述这种结合,该结合主要在工程研究项目中得到实施。然而,目前尚无指导方针、计划或概念来明确阐述这种结合。该概念将在数据中心实施,数据中心对于实现我们日常生活中的虚拟任务至关重要。由于COVID-19疫情,电子商务和视频会议等服务的需求激增。定期维护对于确保不间断和可靠的服务是必要的。人工维护策略可能不足以满足当前的高需求,需要创新方法来解决这一问题。本文提出了一种数据中心维护的新方法:由自主机器人进行实时监控。该机器人与资产的数字孪生体以及一个虚拟现实界面集成,该界面允许人类人员控制机器人并对警报做出响应。这种方法能够实现更快、更具成本效益且更高质量的数据中心维护。该方法已在真实数据中心得到验证,并可通过联合数据源用于智能监控和管理。该方法在其他自动化系统中具有潜在应用价值。

英文摘要:

In the context of Industry 4.0, the physical and digital worlds are closely connected, and robots are widely used to achieve system automation. Digital twin solutions have contributed significantly to the growth of Industry 4.0. Combining various technologies is a trend that aims to improve system performance. For example, digital twinning can be combined with virtual reality in automated systems. This paper proposes a new concept to articulate this combination, which has mainly been implemented in engineering research projects. However, there are currently no guidelines, plans, or concepts to articulate this combination. The concept will be implemented in data centers, which are crucial for enabling virtual tasks in our daily lives. Due to the COVID-19 pandemic, there has been a surge in demand for services such as e-commerce and videoconferencing. Regular maintenance is necessary to ensure uninterrupted and reliable services. Manual maintenance strategies may not be sufficient to meet the current high demand, and innovative approaches are needed to address the problem. This paper presents a novel approach to data center maintenance: real-time monitoring by an autonomous robot. The robot is integrated with digital twins of assets and a virtual reality interface that allows human personnel to control it and respond to alarms. This methodology enables faster, more cost-effective, and higher quality data center maintenance. It has been validated in a real data centre and can be used for intelligent monitoring and management through joint data sources. The method has potential applications in other automated systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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