Industry 4.0 as a Cyber-Physical System study

Mosterman, Pieter J.; Zander, Justyna

doi:10.1007/s10270-015-0493-x

Cited by 178 publications

(59 citation statements)

References 16 publications

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“…Publications of this topic related to IoT have a sigmoid growth in exponential phase, with 182 publications in 2016, noting United States as the leading country with 34 documents. The most important related topics are: Industry 4.0 [109][110][111][112], big data [113][114][115], and security [116][117][118]. Next, Healthcare and E-Health related to IoT exhibited a sigmoid growth in a transitional phase, with a total of 180 documents, and India as the leading country with 20 publications.…”

Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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“…Processes are executed within application systems that are part of the real world involving humans, cooperative computer systems as well as physical objects [2]. Internet of Things (IoT) as well as cyber-physical systems (CPS), denoting the internetworking of all kinds of physical devices, have become very popular these days [3][4][5][6]. Data sets grow rapidly, in part because they are increasingly gathered by cheap and numerous information-sensing IoT devices such as mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers, and wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

et al. 2020

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Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-compatible way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context-specific IoT data provision. The approach has been implemented on top of contemporary BPM modeling concepts and system technology. The introduced technique has evaluated extensively in different use cases in industry.

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“…At the same time, with the continuous development of science and technology, advanced manufacturing technology and ideas are introduced and applied to manufacturing industry such as cloud computing, Internet of Things, big data, and cyber-physical systems (CPS). [1][2][3][4] Therefore, the traditional manufacturing model is facing great challenges. In the context of the new market demand characteristics and advanced technology development, the German ''Industrial 4.0,'' as the representative of the reform, opened the intelligent manufacturing-led fourth industrial revolution prelude.…”

Section: Introductionmentioning

confidence: 99%

Method of tasks and resources matching and analysis for cyber-physical production system

Jiang

Jian-hui

Mingcheng

et al. 2018

Advances in Mechanical Engineering

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A new generation of industrial revolution represented by intelligent manufacturing has come. Multi-product and small batch have become trend in market demands nowadays. Cyber-physical production system is a useful tool to meet this trend by performing tasks intelligently. Since cyber-physical production system performs tasks intelligently and autonomously, tasks and resources should be defined in standardized form in order to be identified and analyzed. Thus, how to define and analyze tasks and resources become the prerequisite for the operation of cyber-physical production system. In this article, a tasks and resources matching and analysis method is proposed for cyber-physical production system. First, the form of process knowledge base is designed, and the method for tasks and resources definition and matching is discussed. Next, the model of system operation logical based on colored Petri net and processing route generation algorithm is built. The parameters forecast method for non-standard processes is designed based on backpropagation neural network. Finally, implementation mechanism and effectiveness of the method are verified by a prototype system.

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Industry 4.0 as a Cyber-Physical System study

Cited by 178 publications

References 16 publications

Internet of Things: A Scientometric Review

Internet of Things: A Scientometric Review

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

Method of tasks and resources matching and analysis for cyber-physical production system

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