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2020 16th IEEE International Conference on Factory Communication Systems (WFCS)最新文献

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Work-in-Progress: A Novel Fault Tolerant Scheme for a Wireless Modular Prosthetic Limb 一种新型的无线模块化假肢容错方案
Pub Date : 2020-04-01 DOI: 10.1109/WFCS47810.2020.9114428
Mayar M. Medhat, R. Daoud, H. Amer
This paper documents a study of a wireless architecture for the Johns Hopkins modular prosthetic limb and it also presents a novel scheme to enhance the architecture’s reliability. Nowadays, the advanced prosthetic limbs, which are based on NCSs (Network Control Systems), are wired systems which are subjected to the wear and tear problem as well as the mobility limitation issue. Therefore, wired models can be replaced by Wireless Body Area Networks (WBANs) which can offer the same function and prevent the wear and tear and mobility problem. Moreover, medical applications such as the prosthetic arms are critical, real time and life-saving applications that require high reliability as faults in such systems can cause severe consequences. The well-known Modular Prosthetic Limb (MPL) designed by Johns Hopkins applied physics laboratory is revisited as it is the base of this study. The wireless architecture of the Johns Hopkins arm is simulated using RIVERBED. In addition, a fault-tolerant model for the same architecture is also simulated. Both, the fault free and faulty scenarios undergo interference analysis as well as a 95% confidence analysis. The simulation results have shown zero packet loss and the end-to-end delays are within the required range; hence, the system requirements are satisfied.
本文研究了约翰霍普金斯模块化假肢的无线架构,并提出了一种提高架构可靠性的新方案。目前,基于网络控制系统(NCSs)的先进假肢都是有线系统,存在磨损和移动受限的问题。因此,有线模型可以被无线体域网络(wban)取代,它可以提供相同的功能,并防止磨损和移动问题。此外,诸如假肢臂之类的医疗应用是至关重要的,实时和救生应用,需要高可靠性,因为此类系统中的故障可能导致严重后果。约翰霍普金斯大学应用物理实验室设计的模块化假肢(MPL)作为本研究的基础,被重新审视。约翰霍普金斯大学手臂的无线架构是用RIVERBED模拟的。此外,还对同一体系结构的容错模型进行了仿真。无故障和故障场景均进行干扰分析和95%置信度分析。仿真结果表明:零丢包,端到端时延在要求范围内;因此,满足了系统需求。
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引用次数: 1
Plug & Play Retrofitting Approach for Data Integration to the Cloud 数据集成到云的即插即用改造方法
Pub Date : 2020-04-01 DOI: 10.1109/WFCS47810.2020.9114523
S. Panda, Lukasz Wisniewski, Marco Ehrlich, Mainak Majumder, J. Jasperneite
Driven by rapid digitalisation, production systems are becoming more flexible and adaptable with the help of emerging concepts like the Internet of Things (IoT) and Industry 4.0. Often, these transformations are not fully implemented in Small and Medium-sized Enterprises (SMEs) due to the replacement cost of existing machines. This paper aims to develop a Plug & Play retrofitting platform, where Industry 4.0 compliant sensor systems can be attached, detected, and configured automatically to the existing production environment. The purpose of the retrofitting is to integrate the sensor system with a cloud platform that would provide persistent storage for sensor data as well as the functionalities to perform monitoring, analysis, and predictive learning.
在快速数字化的推动下,在物联网(IoT)和工业4.0等新兴概念的帮助下,生产系统变得更加灵活和适应性强。通常,由于现有机器的更换成本,这些转换在中小型企业(SMEs)中没有完全实现。本文旨在开发一个即插即用改造平台,在该平台上,符合工业4.0标准的传感器系统可以自动连接、检测和配置到现有的生产环境中。改造的目的是将传感器系统与云平台集成,云平台将为传感器数据提供持久存储以及执行监测、分析和预测学习的功能。
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引用次数: 5
期刊
2020 16th IEEE International Conference on Factory Communication Systems (WFCS)
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