دانلود رایگان مقاله انگلیسی الگوهای طراحی برای اینترنت اشیای صنعتی - IEEE 2018

Abstract

The Internet of Things (IoT) is a vast collection of interconnected sensors, devices, and services that share data and information over the Internet with the objective of leveraging multiple information sources to optimize related systems. The technologies associated with the IoT have significantly improved the quality of many existing applications by reducing costs, improving functionality, increasing access to resources, and enhancing automation. The adoption of IoT by industries has led to the next industrial revolution: Industry 4.0. The rise of the Industrial IoT (IIoT) promises to enhance factory management, process optimization, worker safety, and more. However, the rollout of the IIoT is not without significant issues, and many of these act as major barriers that prevent fully achieving the vision of Industry 4.0. One major area of concern is the security and privacy of the massive datasets that are captured and stored, which may leak information about intellectual property, trade secrets, and other competitive knowledge. As a way forward toward solving security and privacy concerns, we aim in this paper to identify common input-output (I/O) design patterns that exist in applications of the IIoT. These design patterns enable constructing an abstract model representation of data flow semantics used by such applications, and therefore better understand how to secure the information related to IIoT operations. In this paper, we describe communication protocols and identify common I/O design patterns for IIoT applications with an emphasis on data flow in edge devices, which, in the industrial control system (ICS) setting, are most often involved in process control or monitoring.

CONCLUSION AND FUTURE WORK

In this paper, we presented core design patterns for the IIoT in the hopes of fostering more secure and effective device development in an era of complexity and heterogeneity. The technologies associated with the IIoT improve the quality of existing industrial applications by reducing costs, improving functionality, increasing access to resources, and automating production tasks. The emergence of intelligent devices and the IIoT are an integral part of achieving Industry 4.0, and understanding the design patterns behind IIoT development will further reduce the costs associated with adoption of IoT concepts by industry. While the IIoT undoubtedly offers many advantages, it is not without problems. One of the biggest challenges associated with the increased popularity of the IIoT is that the vast amount of data produced by manufacturing systems, which will be more and more difficult to collect, curate, and analyze. Additional problems are also anticipated in terms of governance, systems management, security, and privacy. We believe that design patterns can provide a framework to use when trying to solve these problems.