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Evaluation of Communication Delay in IOT Applications Based on OPCUA

机译:基于OPCUA的物联网应用通信时延评估

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The grow of Industry 4.0 is pushing the deployment of the Industrial Internet of Things (IIoT) allowing many (all) industrial devices to be connected to the Internet for data sharing. Based on the enormous amount of data stored in the Cloud, new analysis algorithms can be run and the extracted information can be sold as “service”. Even if today the Industry 4.0 applications have still a slow reaction time, it is clear that “short latency services” may have competitive advantage in the market. For this reason, this paper is focused on the evaluation of the communication delay due to the transfer of data from the source (i.e. the production line) to the Cloud and the way back. The reference architecture considered in this paper is based on: the well accepted OPC UA (Open Platform Communications Unified Architecture) access method for retrieving data directly from the device inside the production line; and a classic gateway approach for sending data in real (commercial) Cloud platforms. In this paper a test methodology is proposed and a use case is presented to show its feasibility. The experimental outcomes demonstrate that, by means of the proposed methodology, flexible solutions based on OPC UA combined with industrial grade IoT gateways can be easily evaluated. From the perspective of the considered use case, the average delay due to communication from the production line (in details: from a Siemens S7 1500 controller) to the Cloud (IBM Bluemix platform) is less than 300 ms with a standard deviation of about 70 ms over two weeks observation time.
机译:工业4.0的发展推动了工业物联网(IIoT)的部署,从而允许许多(所有)工业设备连接到Internet进行数据共享。基于云中存储的大量数据,可以运行新的分析算法,提取的信息可以作为“服务”出售。即使今天工业4.0应用程序的响应时间仍然很慢,很显然“短延迟服务”可能在市场上具有竞争优势。因此,本文着重评估由于数据从源(即生产线)传输到Cloud以及返回途径而导致的通信延迟。本文考虑的参考体系结构基于:公认的OPC UA(开放平台通信统一体系结构)访问方法,可直接从生产线内部的设备检索数据;以及在真实(商业)云平台上发送数据的经典网关方法。在本文中,提出了一种测试方法,并给出了一个用例来证明其可行性。实验结果表明,通过所提出的方法,可以轻松地评估基于OPC UA结合工业级IoT网关的灵活解决方案。从考虑的用例的角度来看,由于从生产线(具体而言:从Siemens S7 1500控制器)到云(IBM Bluemix平台)的通信而导致的平均延迟小于300 ms,标准偏差约为70超过两周的观察时间。

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