Framework for a digital twin of the Canal of Calais

被引:9
|
作者
Ranjbar, Roza [1 ]
Duviella, Eric [1 ]
Etienne, Lucien [1 ]
Maestre, Jose-Maria [2 ]
机构
[1] Univ Lille, IMT Lille Douai, F-59000 Lille, France
[2] Univ Seville, Seville, Spain
关键词
Hydrographical networks; Water system; Digital twin; Simulation; MODEL-PREDICTIVE CONTROL; CYBER-PHYSICAL SYSTEMS;
D O I
10.1016/j.procs.2020.11.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The management of hydrographical systems is still mainly based on the expertise of the managers. Although this expertise enables the efficient management of these networks under normal conditions, modifications due to human activities or climate change could lead them to manage situations that were not known until now. In addition, advances in Automation, Computing Science and Artificial Intelligence provide tools and methods to assist the managers. In particular, the use of tele-remote systems, as SCADA, allows the collection of data and the control of hydraulic devices. Today, by benefiting from the power of computers and servers, the digital twins of hydrographical networks can be designed. A digital twin aims to faithfully reproduce the dynamics of a canal. It is used to play-back past scenarios allowing feedback of applied management strategies and fast simulations with predictive and adaptive management strategies to determine their performances and giving decision aid criteria for the managers. The objective of the presented paper is to define the framework for a digital twin of the Canal of Calais. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页码:27 / 37
页数:11
相关论文
共 50 条
  • [41] A Digital Twin Framework for Personalized Healthcare Management Services
    Ullah, Hikmat
    AbuAli, Najah
    Hayajneh, Mohammed
    2023 IEEE 9TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT, 2023,
  • [42] Digital-Twin-Assisted Healthcare Framework for Adult
    Alqahtani, Abdullah
    Alsubai, Shtwai
    Bhatia, Munish
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (08): : 14963 - 14970
  • [43] A DIGITAL TWIN DEVELOPMENT FRAMEWORK FOR A SMART SALTWATER GREENHOUSE
    Cao, Shiang
    Chen, YangQuan
    PROCEEDINGS OF ASME 2023 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2023, VOL 7, 2023,
  • [44] A framework for incorporating rainfall data into a flooding digital twin
    Green, Amy C.
    Lewis, Elizabeth
    Tong, Xue
    Wardle, Robin
    JOURNAL OF HYDROLOGY, 2025, 656
  • [45] Validation Framework of a Digital Twin: A System Identification Approach
    Purdue University, School of Industrial Engineering, 315 N. Grant Street, West Lafayette
    IN, United States
    INCOSE Int. Sym., 2024, 1 (249-267):
  • [46] Structural digital twin framework: Formulation and technology integration
    Chiachio, Manuel
    Megia, Maria
    Chiachio, Juan
    Fernandez, Juan
    Jalon, Maria L.
    AUTOMATION IN CONSTRUCTION, 2022, 140
  • [47] ANGEL: An Intelligent Digital Twin Framework for Microgrid Security
    Danilczyk, William
    Sun, Yan
    He, Haibo
    2019 51ST NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2019,
  • [48] An application framework of digital twin and its case study
    Yu Zheng
    Sen Yang
    Huanchong Cheng
    Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 1141 - 1153
  • [49] Digital Twin Framework for Reconfiguration Management: Concept & Evaluation
    Caesar, Birte
    Barton, Kira
    Tilbury, Dawn M.
    Fay, Alexander
    IEEE ACCESS, 2023, 11 : 127364 - 127387
  • [50] Formalizing a framework of inference capabilities for Digital Twin engineering
    Diakite, Mama
    Traore, Mamadou Kaba
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2024, 100 (09): : 887 - 902