Digital Twin in Water Supply Systems to Industry 4.0: The Holonic Production Unit

被引:1
|
作者
Cardillo Albarran, Juan [1 ]
Chacon Ramirez, Edgar [1 ]
Cruz Salazar, Luis Alberto [2 ,3 ]
Paredes Astudillo, Yenny Alexandra [4 ]
机构
[1] Univ Los Andes, Merida, Venezuela
[2] Tech Univ Munich, Munich, Germany
[3] Univ Antonio Narino, Bogota, Colombia
[4] Politecn Grancolombiano, Bogota, Colombia
关键词
Digital Twin; Holonic Manufacturing Systems; Holonic Production Unit; Industry; 4.0; Water Supply System;
D O I
10.1007/978-3-030-80906-5_4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industry 4.0 (I4.0) and Digital Twin (DT) bring together new disruptive technologies, increasing manufacturing productivity. Indeed, the control of production processes is fast becoming a key driver for smart manufacturing operations based on 14.0 and DT. In this connection, intelligent control such as the Holonic Manufacturing Systems (HMS) generates distributed or semi-heterarchical architectures to improve both global efficiency and manufacturing operations' reactiveness. Still, previous studies and HMS applications often have not dealt with continuous production processes, such as water treatment applications, because of the complexity of continuous production (a single fault can degrade extensively and can even cause a breakdown of production). This work describes a HMS architecture applied to continuous systems, based on Holonic Production Units (HPU). This unit's cognitive model allows building a DT of the unit employing a hybrid dynamic system. This HMS detects events within the environment through a DT, evaluating various courses of action, and changing the parameters aligned to a mission. The DT was created by a simulated model of a water supply system, considering three scenarios: normal condition and two disrupted scenarios (the unexpected increase of demand and water quality degradation). The experiments apply agent-based modelling software to simulate the communication and decision-making features of the HPU. The results suggest that the construction of a holarchy with heterogeneous holons is potentially able to fulfil I4.0 requirements by DT of a WSS.
引用
收藏
页码:42 / 54
页数:13
相关论文
共 50 条
  • [31] Modeling and Simulation of a Digital Twin of a Production System for Industry 4.0 with Work-in-Process Synchronization
    Kampa, Adrian
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (22):
  • [32] The Digital Twin of a Measuring Process Within the Industry 4.0 Concept
    Kucera, Lubos
    Vachalek, Jan
    Melicher, Markus
    Vasek, Pavol
    Slovak, Juraj
    [J]. CURRENT METHODS OF CONSTRUCTION DESIGN, 2020, : 333 - 341
  • [33] A Survey of Digital Twin for Industry 4.0: Benefits, Challenges and Opportunities
    Murgod T.R.
    Sundaram S.M.
    Mahanthesha U.
    Murugesan P.
    [J]. SN Computer Science, 5 (1)
  • [34] The Digital Twin Theory: Implementation with the Industry 4.0 Management Shell
    Deuter, Andreas
    Pethig, Florian
    [J]. ATP MAGAZINE, 2019, (11-12): : 28 - 31
  • [35] Greenhouse industry 4.0 – digital twin technology for commercial greenhouses
    Howard D.A.
    Ma Z.
    Veje C.
    Clausen A.
    Aaslyng J.M.
    Jørgensen B.N.
    [J]. Energy Informatics, 2021, 4 (Suppl 2)
  • [36] Human Digital Twin in Industry 4.0: Concept and Preliminary Model
    Naudet, Yannick
    Baudet, Alexandre
    Risse, Margot
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INNOVATIVE INTELLIGENT INDUSTRIAL PRODUCTION AND LOGISTICS (IN4PL), 2021, : 137 - 144
  • [37] Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey
    Hu, Wei
    Lim, Kendrik Yan Hong
    Cai, Yiyu
    [J]. BUILDINGS, 2022, 12 (11)
  • [38] The digital twin in Industry 4.0: A wide-angle perspective
    Kenett, Ron S.
    Bortman, Jacob
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2022, 38 (03) : 1357 - 1366
  • [39] Digital twin and Production 4.0: Seamless value added journey for the digital twin in a smart factory
    Himstedt, Steffen
    [J]. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2020, 115 : 41 - 42
  • [40] A Semantic Digital Twin for the Dynamic Scheduling of Industry 4.0-based Production of Precast Concrete Elements
    Kosse, Simon
    Betker, Vincent
    Hagedorn, Philipp
    Koenig, Markus
    Schmidt, Thorsten
    [J]. ADVANCED ENGINEERING INFORMATICS, 2024, 62