Big Data Analytics Processes in Industrial Internet of Things Systems: Sensing and Computing Technologies, Machine Learning Techniques, and Autonomous Decision-Making Algorithms.

Author:Eysenck, Glenn
  1. Introduction

    An Industrial Internet of Things represents a network of smart industrial technology that gather and distribute huge volumes of data that are either produced by diverse sensors harnessed in the machinery or stores particular information concerning the equipment, e.g. design, history of utilization, and manufacturer. (Kharlamov et al., 2019) Big data generation in Industrial Internet of Things is incontestable as a consequence of the vast setting out of sensors and smart devices. (Rehman et al., 2019)

  2. Conceptual Framework and Literature Review

    The advancement of Internet of Things has evolved from simply collaborative objects in preparation for smart objects. (Gulati and Kaur, 2019) Big data processing is demanding because of inadequate computational, connecting, and storage resources at Internet of Things device-end. (Rehman et al., 2019) Industrial Internet of Things exploits smart interactions in business applications addressing networking between machines. (Younan et al., 2020) Data analytics in vast manufacturing information can derive important business values (Androniceanu and Popescu, 2017; Kliestik et al., 2018; Lazaroiu, 2017; Roberts and Marchais, 2018), but the disparate data types, massive quantity, and actual swiftness of manufacturing information (Chessell, 2018; Krizanova et al., 2019; Popescu, 2014; Popescu et al., 2017a, b; Sion, 2018) constitute real challenges. (Dai et al., 2019)

  3. Methodology and Empirical Analysis

    Building our argument by drawing on data collected from Forbes, McKinsey, PwC, Statista, and World Economic Forum, we performed analyses and made estimates regarding the Internet of Things units installed base by category (2014-2020, in billions of units), spending on Internet of Things worldwide by vertical in 2015 and 2020 (in billions of U.S. dollars), drivers of technological change, industries overall (%), and stages of diffusion of artificial intelligence technologies (%, adoption type). Structural equation modeling was used to analyze the collected data.

  4. Results and Discussion

    Industrial Internet of Things is decisive in boosting performance and coherent in heterogeneous wireless networks. (Goudarzi et al., 2019) Big data analytics will supply operational- and customer-level intelligence in Industrial Internet of Things systems. (Rehman et al., 2019) The perspective of smart factories stimulates numerous industrial firms to streamline their current set of systems and services to preserve market share and tremendously enhance business agility. (Breivold, 2019) (Tables 1-5)

  5. Conclusions and Implications

    Industrial Internet of Things systems aim to optimize production taking into account far-reaching refashioning...

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