Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0

Wang, Lidong; Wang, Guanghui

doi:10.5815/ijem.2016.04.01

Cited by 126 publications

(35 citation statements)

References 10 publications

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“…The definition of Industry 4.0 is diverse, as it is still at the stage of research and development [1][2][3]. However, we should agree with the authors [4,5] who highlight the technical essence of Industry 4.0 as the integration of cyber-physical systems (CPS), IoT and services into industrial processes, including production and logistics. Другими словами, CPS implies the integration of the real world of physical objects into the virtual world of computing processes (embedded computers, network, and cloud technologies) via globally connected IoT.…”

Section: Introductionmentioning

confidence: 97%

Analysis and New Approaches to the Solution of Problems of Operation of Oil and Gas Complex as Cyber-Physical System

Fətəliyev¹,

Mehdiyev²

2018

IJITCS

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The application of modern information technologies in the oil and gas sector is constantly developing, which facilitates the acceleration of exploration and detection of oil, the increase in oil production and reduction in risks relates to health, human safety, and the environment. The Internet of things in the oil and gas sector, like in all sectors of industry, has great prospects from an economic point of view. The article is devoted to the study of the current state and avenues of solving key problems of effective and reliable functioning of the oil and gas industry as a cyber-physical system using the Internet of things in the Azerbaijani oil company SOCAR. The main technological processes and existing opportunities for the application of information technologies in the oil and gas complex are analyzed. New approaches are proposed to solve the problems in the oil and gas complex as cyber-physical system based on the smart sensors, the Internet of things, wireless networks and cloud technologies. The implementation of the proposed model is aimed at increasing the effectiveness, resource storage, exploration reliability and durability of the oil and gas complex.

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Section: Introductionmentioning

confidence: 97%

Analysis and New Approaches to the Solution of Problems of Operation of Oil and Gas Complex as Cyber-Physical System

Fətəliyev¹,

Mehdiyev²

2018

IJITCS

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“…It has been noted that this movement is due to the shift towards Industry 4.0 (I4), also known as the Fourth Industrial Revolution (Lasi et al, 2014). I4 itself is said to focus on the end-to-end digitisation of all physical assets and integration into digital ecosystems through various technologies (Lidong and Guanghui, 2016). This is to create products and services by effectively leveraging technology to achieve synergy (Carolis et al, 2017; Schwab, 2017).…”

Section: Introductionmentioning

confidence: 99%

A conceptual model of entrepreneurial competencies needed to utilise technologies of Industry 4.0

Kruger

Steyn

2020

The International Journal of Entrepreneurship and Innovation

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The Fourth Industrial Revolution, also known as Industry 4.0 (I4), has provided an unprecedented platform for innovation in various spheres. For entrepreneurs then, who are known to drive innovation and progress in various fields, I4 offers a wide scope of opportunities. The purpose of this article is to provide a conceptual model of needed entrepreneurial competencies to effectively utilise novel technologies I4 has to offer. To develop the model, this exploratory study adopts an action research approach. Using predefined questions developed from previous literature, a representative sample was obtained from 17 in-depth interviews with entrepreneurs. From the data analyses, where machine learning technologies were used, it was found that to respond and navigate the layers of I4 technologies and enable new possibilities, entrepreneurs require certain competencies in this globally connected and technology-fuelled world. This article advances entrepreneurial research as it provides a platform to guide and support their development, which has been a key focus area both internationally and in South Africa, to address one of the key sustainable development goals, economic growth. Despite this contribution, further investigation is required on how to develop these competencies through supportive mechanisms and corresponding education relating to I4.

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“…The generic term Industry 4.0 is characterized by buzzwords such as customized products, Big Data applications, and the assisted support of human beings as a creative decision-makers through cyber physical systems [1]. The applications in the industrial areas are manifold and often result from the growing demands on the industry to ensure competitiveness.…”

Section: Introductionmentioning

confidence: 99%

“…The intention is to identify potential ad hoc failures in good time and reduce maintenance measures to a minimum. In order to evaluate the condition of a machine, _____________ 1 Fraunhofer Institute for Machine Tools and Forming Technology IWU, Chemnitz, Germany * E-mail: manja.mai-ly.pfaff@iwu.fraunhofer. de https://doi.org/10.36897/jme/128628 an evaluation basis is required, which is normally a complex comparative database.…”

Section: Introductionmentioning

confidence: 99%

Predictive technology assessment by means of a structure-based method of machine learning

Pfaff¹,

Frieß²,

Otto³

et al. 2020

Journal of Machine Engineering

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From a user perspective, the current development of the generic term Industry 4.0 increasingly moves its orientation towards flexible production. Due to increasingly variable products with small quantities and the resulting high degree of adaptability of a plant over its entire operating phase, the need for rapid production commissioning gives rise to the demand for live commissioning support and technology evaluation of induced production start-ups. Classification axioms can be formed by 1-class learning procedures for the predictive state evaluation of subsequent production start-ups based on collected machine and process data from past production start-ups. The starting point is an adaptive algorithm that performs a dynamic tolerance band formation based on different criteria, emphasizing on adaptive characteristic segmentation. This first step represents comprehensive condition monitoring. Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. Moreover, the structure of production systems can and should be included in the analyzation, so that probabilistic causalities can be postulated and then be added to the underlying data sets for quantification. Using these adaptive structure-based segmentations is the first step to interpret data sets of new production systems without the need for complex pre-configuration.

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Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0

Cited by 126 publications

References 10 publications

Analysis and New Approaches to the Solution of Problems of Operation of Oil and Gas Complex as Cyber-Physical System

Analysis and New Approaches to the Solution of Problems of Operation of Oil and Gas Complex as Cyber-Physical System

A conceptual model of entrepreneurial competencies needed to utilise technologies of Industry 4.0

Predictive technology assessment by means of a structure-based method of machine learning

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