Machine learning and internet of things in industry 4.0: A review

被引:0
|
作者
Rahman M.S. [1 ]
Ghosh T. [2 ]
Aurna N.F. [3 ]
Kaiser M.S. [1 ]
Anannya M. [1 ]
Hosen A.S.M.S. [4 ]
机构
[1] Institute of Information Technology, Jahangirnagar University, Dhaka
[2] Department of Computer Science and Engineering, United International University, Dhaka
[3] Division of Information Science, Nara Institute of Science and Technology, Nara
[4] Department of Artificial Intelligence and Big Data, Woosong University, Daejeon
来源
Measurement: Sensors | 2023年 / 28卷
关键词
Automation; Industry; 4.0; Internet of things; Machine learning; Smart system;
D O I
10.1016/j.measen.2023.100822
中图分类号
学科分类号
摘要
Machine learning (ML), sensors networks, and Internet of Things (IoT) are the most important contributor in the newest revolution in the industry. It is going towards a fully automated industrial environment where all the components including post production, pre production, supply chain and quality control would be automatically managed. Human will work more with brain, where all the physical efforts would be replaced by ML enabled intelligent robots that will perform all the tasks, where sensor networks will collect live information from the environment. All the decision would be taken on the fly from the previous records. In this work, we have tried to shed some light on the current involvement of ML and IoT in industry 4.0 environment. 28 articles were reviewed in this work which were selected through a selection process and were published between 2017 and 2022. Different tools, protocols, algorithms and the latest technologies used in the industry 4.0 environment have been analytically discussed in this work. Research gaps were tried to found out and some recommendations were provided which can be a pathway to research advancement related to industry 4.0. © 2023 The Authors
引用
收藏
相关论文
共 50 条
  • [1] A Brief Review on Internet of Things, Industry 4.0 and Cybersecurity
    Rudenko, Roman
    Pires, Ivan Miguel
    Oliveira, Paula
    Barroso, Joao
    Reis, Arsenio
    ELECTRONICS, 2022, 11 (11)
  • [2] Carbon footprint assessment in manufacturing Industry 4.0 using machine learning with intelligent Internet of things
    Liu, Zhao
    Yang, Gangying
    Zhang, Yi
    International Journal of Advanced Manufacturing Technology, 2023,
  • [3] Carbon footprint assessment in manufacturing Industry 4.0 using machine learning with intelligent Internet of things
    Liu, Zhao
    Yang, Gangying
    Zhang, Yi
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023,
  • [4] APPLICATION OF INTERNET OF THINGS IN INDUSTRY 4.0
    Marinova-Kostova, Kremena
    Kostov, Ivaylo
    ECONOMICS ECOLOGY SOCIUM, 2021, 5 (02): : 49 - 58
  • [5] Industry 4.0: Industrial Internet of Things (IIOT)
    Munirathinam, Sathyan
    DIGITAL TWIN PARADIGM FOR SMARTER SYSTEMS AND ENVIRONMENTS: THE INDUSTRY USE CASES, 2020, 117 : 129 - 164
  • [6] Internet of Things for Manufacturing in the Context of Industry 4.0
    Liu, Changhong
    Zhong, Ray Y.
    TRANSDISCIPLINARY ENGINEERING: A PARADIGM SHIFT, 2017, 5 : 1013 - 1022
  • [7] Artificial Intelligence and the Internet of Things in Industry 4.0
    Radanliev, Petar
    De Roure, David
    Nicolescu, Razvan
    Huth, Michael
    Santos, Omar
    CCF TRANSACTIONS ON PERVASIVE COMPUTING AND INTERACTION, 2021, 3 (03) : 329 - 338
  • [8] Artificial Intelligence and the Internet of Things in Industry 4.0
    Petar Radanliev
    David De Roure
    Razvan Nicolescu
    Michael Huth
    Omar Santos
    CCF Transactions on Pervasive Computing and Interaction, 2021, 3 : 329 - 338
  • [9] Interoperability of the Time of Industry 4.0 and the Internet of Things
    Lelli, Francesco
    FUTURE INTERNET, 2019, 11 (02):
  • [10] Data Architecture for the Internet of Things and Industry 4.0
    Rodriguez Molano, Jose Ignacio
    Contreras Bravo, Leonardo Emiro
    Lopez Santana, Eduyn Ramiro
    DATA MINING AND BIG DATA, DMBD 2017, 2017, 10387 : 283 - 293