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Real-Time Sensor Networks and Systems for the Industrial IoT: What Next?

机译:工业IOT的实时传感器网络和系统:下一个什么?

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摘要

The Industrial Internet of Things (Industrial IoT—IIoT) is the emerging core backbone construct for the various cyber-physical systems constituting one of the principal dimensions of the 4th Industrial Revolution. While initially born as a concept inside specific industrial applications of the generic IoT technologies, for the optimization of the operational efficiency in automation and control, it quickly became the vehicle for the achievement of the total convergence of Operational Technologies (OT) with Information Technologies (IT). Today, it is already breaking the traditional borders of automation and control functions in the process and manufacturing industry, towards a wider domain of functions and industries, embraced under the dominant, global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in people’s everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, IoT integration with cognitive computing and real-time data exchanges is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions [1,2]. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration, and exploitation challenges.
机译:工业互联网(工业IOT-IIT)是构成第四工业革命主要尺寸之一的各种网络物理系统的新兴核心骨干结构。虽然最初作为通用IOT技术的特定工业应用中的特定工业应用中的概念,但为了优化自动化和控制的运营效率,它很快成为实现操作技术(OT)总收敛的车辆(它)。今天,它已经违反了过程和制造业的传统自动化和控制功能,朝着更广泛的职业领域,包括在德国的行业4.0(或Industrie 4.0)的主导,全球倡议和建筑框架下,美国的工业互联网,日本的社会5.0,以及中国制造的2025年。作为实时嵌入式系统迅速在人们日常生活中和工业环境中实现无处不在,许多进程已经取决于实时网络物理系统和嵌入式传感器,与认知计算和实时数据交换的IOT集成对于各种框架规定下智能环境和服务中数字双胞胎的实时分析与实现[1,2]。在此上下文中,工业IOT的实时传感器网络和系统包括多种技术,并提高显着的设计,优化,集成和剥削挑战。

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