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
  • [21] DPART - A DIGITAL TWIN FRAMEWORK FOR THE MACHINING DOMAIN
    Ganser, P.
    Venek, T.
    Rudel, V
    Bergs, T.
    MM SCIENCE JOURNAL, 2021, 2021 : 5134 - 5141
  • [22] A unified framework for digital twin development in manufacturing
    Latsou, Christina
    Ariansyah, Dedy
    Salome, Louis
    Erkoyuncu, John Ahmet
    Sibson, Jim
    Dunville, John
    ADVANCED ENGINEERING INFORMATICS, 2024, 62
  • [23] Digital Twin Framework for Enabling Serial Construction
    Kosse, Simon
    Vogt, Oliver
    Wolf, Mario
    Koenig, Markus
    Gerhard, Detlef
    FRONTIERS IN BUILT ENVIRONMENT, 2022, 8
  • [24] Towards a Digital Twin Framework for Autonomous Robots
    Lumer-Klabbers, Gill
    Hausted, Jacob Odgaard
    Kvistgaard, Jakob Levisen
    Macedo, Hugo Daniel
    Frasheri, Mirgita
    Larsen, Peter Gorm
    2021 IEEE 45TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2021), 2021, : 1254 - 1259
  • [25] A conceptual digital twin framework for city logistics
    Belfadel, Abdelhadi
    HorL, Sebastian
    Tapia, Rodrigo Javier
    Politaki, Dimitra
    Kureshi, Ibad
    Tavasszy, Lorant
    Puchinger, Jakob
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2023, 103
  • [26] DMFDT: Data Management Framework for Digital Twin
    Ali, Zeeshan
    Poursoltan, Milad
    Traore, Mamadou Kaba
    NAVIGATING UNPREDICTABILITY: COLLABORATIVE NETWORKS IN NON-LINEAR WORLDS, PRO-VE 2024, PT II, 2024, 727 : 130 - 144
  • [27] Urban flooding digital twin system framework
    Ge, Chenyu
    Qin, Shengfeng
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2025, 13 (01)
  • [28] A Digital Twin Framework for Detecting the Damage Location
    Aguilar, Enixe
    Awan, Ali
    Garcia, Johnny
    Quach, Michael
    Salei, Roya
    Sevilla, Marvin
    Eger, Markus
    Sotoudeh, Zahra
    AIAA SCITECH 2024 FORUM, 2024,
  • [29] Towards a Digital Twin Framework for Connected Vehicles
    Gerhards, Jan
    Schneider, Tim
    Hirmer, Pascal
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, BIG DATA AND SECURITY (IOTBDS), 2022, : 189 - 196
  • [30] The digital twin framework: A roadmap to the development of user- centred digital twin in the built environment
    Osama, Zaid
    JOURNAL OF BUILDING ENGINEERING, 2024, 98