Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

被引：0
|
作者：
Ma, Shuaiyin [1 ,2 ,3 ,4 ]
Ding, Wei [1 ,2 ,3 ,4 ]
Liu, Yang [5 ,6 ]
Ren, Shan [7 ]
Yang, Haidong [8 ]
机构：
[1] School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[2] Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[3] Xi'an Key Laboratory of Big Data and Intelligent Computing, Xi'an,710121, China
[4] Shaanxi Union Research Center of University and Enterprise for 5G+ Industrial Internet Communication Terminal Technology, Xi'an University of Posts and Telecommunications, Xi'an,710121, China
[5] Department of Management and Engineering, Linköping University, Linköping,SE-581 83, Sweden
[6] Industrial Engineering and Management, University of Oulu, Oulu,90570, Finland
[7] School of Modern Post, Xi'an University of Posts and Telecommunications, Xi'an,710061, China
[8] Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou,510006, China
来源：
Applied Energy | 2022年 / 326卷
关键词：
All Open Access; Hybrid Gold;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
83
引用
收藏
相关论文
共 50 条
  • [41] Digital Twin and Data-Driven Quality Prediction of Complex Die-Casting Manufacturing
    Liu, Dong
    Du, Yu
    Chai, Wenjie
    Lu, ChangQi
    Cong, Ming
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (11) : 8119 - 8128
  • [42] The Use of a Data-Driven Digital Twin of a Smart City: A Case Study of Ålesund, Norway
    Major, Pierre
    Li, Guoyuan
    Hildre, Hans Petter
    Zhang, Houxiang
    IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2021, 24 (07) : 39 - 49
  • [43] Design of big data-driven framework based on manufacturing value chain
    Song, Jingwen
    Wang, Aihui
    Liu, Ping
    Li, Daming
    Han, Xiaobo
    Yan, Yuhao
    2021 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2021, : 70 - 74
  • [44] Providing energy data and information for sustainable manufacturing systems by Energy Cards
    Hopf, Hendrik
    Mueller, Egon
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2015, 36 : 76 - 83
  • [45] Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
    Qi, Qinglin
    Tao, Fei
    IEEE ACCESS, 2018, 6 : 3585 - 3593
  • [46] RESEARCH ON TECHNOLOGY INNOVATION OF ENERGY-INTENSIVE INDUSTRIES OF WUHAN UNDER PERSPECTIVE OF SUSTAINABLE DEVELOPMENT - BASED ON PANEL DATA OF 2010-2013
    Zou, Wei
    Song, Wei-Wei
    Zheng, Jia-Yi
    ENERGY, ENVIRONMENTAL & SUSTAINABLE ECOSYSTEM DEVELOPMENT, 2016,
  • [47] DATA-DRIVEN RELIABILITY MODELING OF SMART MANUFACTURING SYSTEMS USING PROCESS MINING
    Friederich, Jonas
    Lazarova-Molnar, Sanja
    2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 2534 - 2545
  • [48] Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review
    Andronie, Mihai
    Lazaroiu, George
    Iatagan, Mariana
    Hurloiu, Iulian
    Dijmarescu, Irina
    SUSTAINABILITY, 2021, 13 (02) : 1 - 15
  • [49] Advances in Smart Sustainable Urbanism: Data-Driven and Data-Intensive Scientific Approaches to Wicked Problems
    Bibri, Simon Elias
    4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19), 2019,
  • [50] Data-driven diabetes management: a statistical assessment information system leveraging big data
    Zhao, Cuiping
    Wang, Jingjing
    Wang, Yan
    Liu, Wencheng
    SMART SCIENCE, 2024,
12345