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An Internet of Things-Based Monitoring System for Shop-Floor Control

机译:基于物联网的车间控制监控系统

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With the advent of the fourth industrial revolution (Industry 4.0), manufacturing systems are transformed into digital ecosystems. In this transformation, the internet of things (IoT) and other emerging technologies pose a major role. To shift manufacturing companies toward IoT, smart sensor systems are required to connect their resources into the digital world. To address this issue, the proposed work presents a monitoring system for shop-floor control following the IoT paradigm. The proposed monitoring system consists of a data acquisition device (DAQ) capable of capturing quickly and efficiently the data from the machine tools, and transmits these data to a cloud gateway via a wireless sensor topology. The monitored data are transferred to a cloud server for further processing and visualization. The data transmission is performed in two levels, i.e., locally in the shop-floor using a star wireless sensor network (WSN) topology with a microcomputer gateway and from the microcomputer to Cloud using Internet protocols. The developed system follows the loT paradigm in terms of connecting the physical with the cyber world and offering integration capabilities with existing industrial systems. In addition, the open platform communication-unified architecture (OPC-UA) standard is employed to support the connectivity of the proposed monitoring system with other IT tools in an enterprise. The proposed monitoring system is validated in a laboratory as well as in machining and mold-making small and medium-sized enterprises (SMEs).
机译:随着第四次工业革命(工业4.0)的到来,制造系统已转变为数字生态系统。在这一转变中,物联网(IoT)和其他新兴技术发挥了重要作用。为了使制造公司转向物联网,需要智能传感器系统将其资源连接到数字世界。为了解决这个问题,拟议的工作提出了一种遵循IoT范式的车间控制监控系统。所提出的监视系统由数据采集设备(DAQ)组成,该数据采集设备能够快速有效地捕获来自机床的数据,并将这些数据通过无线传感器拓扑传输到云网关。监视的数据被传输到云服务器以进行进一步的处理和可视化。数据传输在两个级别上进行,即在车间内使用带有微型计算机网关的星形无线传感器网络(WSN)拓扑在本地进行,以及使用Internet协议从微型计算机到云。在将实体与网络世界连接起来并提供与现有工业系统的集成功能方面,开发的系统遵循了loT范例。另外,采用开放平台通信统一架构(OPC-UA)标准来支持建议的监视系统与企业中其他IT工具的连接。拟议的监控系统已在实验室以及机加工和模具制造中小型企业(SME)中得到验证。

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