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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
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Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

机译：在工业物联网和工业4.0中部署雾计算

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摘要

Rapid technological advances have revolutionized the industrial sector. These advances range from automation of industrial processes to autonomous industrial processes, where a human input is not required. Internet of Things (IoT), which has emerged a few years ago, has been embraced by industry, resulting in what is known as the Industrial Internet of Things (IIoT). IIoT refers to making industrial processes and entities part of the Internet. Restricting the definition of IIoT to manufacturing yields another subset of IoT, known as Industry 4.0. IIoT and Industry 4.0, will consist of sensor networks, actuators, robots, machines, appliances, business processes, and personnel. Hence, a lot of data of diverse nature would be generated. The industrial process requires most of the tasks to be performed locally because of delay and security requirements and structured data to be communicated over the Internet to web services and the cloud. To achieve this task, middleware support is required between the industrial environment and the cloud/web services. In this context, fog is a potential middleware that can be very useful for different industrial scenarios. Fog can provide local processing support with acceptable latency to actuators and robots in a manufacturing industry. Additionally, as industrial big data are often unstructured, it can be trimmed and refined by the fog locally, before sending it to the cloud. We present an architectural overview of IIoT and Industry 4.0. We discuss how fog can provide local computing support in the IIoT environment and the core elements and building blocks of IIoT. We also present a few interesting prospective use cases of IIoT. Finally, we discuss some emerging research challenges related to IIoT.
机译：快速的技术进步彻底改变了工业部门。这些进步范围从工业过程的自动化到不需要人工输入的自主工业过程。几年前出现的物联网（IoT）已被业界所接受，从而形成了所谓的工业物联网（IIoT）。 IIoT是指使工业流程和实体成为Internet的一部分。将IIoT的定义限制为制造业，会产生另一种IoT子集，即工业4.0。 IIoT和工业4.0将由传感器网络，执行器，机器人，机器，设备，业务流程和人员组成。因此，将产生许多不同性质的数据。由于延迟和安全性要求以及要通过Internet传递到Web服务和云的结构化数据，工业过程要求大多数任务在本地执行。为了实现此任务，需要在工业环境和云/ Web服务之间提供中间件支持。在这种情况下，雾是潜在的中间件，对于不同的工业场景可能非常有用。雾可以为制造业中的执行器和机器人提供可接受的延迟的本地处理支持。此外，由于工业大数据通常是非结构化的，因此可以在发送到云之前通过本地雾对其进行修剪和精炼。我们提供IIoT和工业4.0的体系结构概述。我们讨论了雾如何在IIoT环境以及IIoT的核心元素和构建块中提供本地计算支持。我们还介绍了一些有趣的IIoT预期用例。最后，我们讨论了与IIoT相关的一些新兴研究挑战。

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