Digital Twin Smart Water Conservancy: Status, Challenges, and Prospects

被引:6
作者
Li, Wengang [1 ,2 ]
Ma, Zifei [1 ,2 ,3 ,4 ]
Li, Jing [1 ,2 ]
Li, Qinghua [1 ,2 ]
Li, Yang [1 ,2 ]
Yang, Juan [5 ]
机构
[1] Yunnan Agr Univ, Sch Water Conservancy, Kunming 650500, Peoples R China
[2] Yunnan Agr Univ, Yunnan Int Joint R&D Ctr Smart Agr & Water Secur, Kunming 650500, Peoples R China
[3] Key Lab Crop Prod & Intelligent Agr Yunnan Prov, Kunming 650500, Peoples R China
[4] Yunnan Key Lab Serv Comp, Kunming 650500, Peoples R China
[5] Kunming Open Coll, Kunming 650233, Peoples R China
关键词
digital twin water conservancy; smart water conservancy; water conservancy perception data; digital twin model construction; digital twin model evaluation system; ARTIFICIAL-INTELLIGENCE; REAL-TIME; BIG DATA; SYSTEM; SURVEILLANCE; DEPLOYMENT; FRAMEWORK; FUSION; MODEL;
D O I
10.3390/w16142038
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Digital twin technology, a new type of digital technology emerging in recent years, realizes real-time simulation, prediction and optimization by digitally modeling the physical world, providing a new idea and method for the design, operation and management of water conservancy projects, which is of great significance for the realization of the transformation of water conservancy informatization to intelligent water conservancy. In view of this, this paper systematically discusses the concept and development history of digital twin smart water conservancy, compares its differences with traditional water conservancy models, and further proposes the digital twin smart water conservancy five-dimensional model. Based on the five-dimensional model of digital twin water conservancy, the research progress of digital twin smart water conservancy is summarized by focusing on six aspects, namely digital twin water conservancy data perception, data transmission, data analysis and processing, digital twin water conservancy model construction, digital twin water conservancy interaction and collaboration and digital twin water conservancy service application, and the challenges and problems of digital twin technology in the application of smart water conservancy. Finally, the development trend of digital twin technology and the direction of technological breakthroughs are envisioned, aiming to provide reference and guidance for the research on digital twin technology in the field of smart water conservancy and to promote the further development of the field.
引用
收藏
页数:26
相关论文
共 132 条
[1]   Investigating the applications of artificial intelligence in cyber security [J].
Abbas, Naveed Naeem ;
Ahmed, Tanveer ;
Shah, Syed Habib Ullah ;
Omar, Muhammad ;
Park, Han Woo .
SCIENTOMETRICS, 2019, 121 (02) :1189-1211
[2]   Security Perspective Analysis of Industrial Cyber Physical Systems (I-CPS): A Decade-wide Survey [J].
Agrawal, Neha ;
Kumar, Rohit .
ISA TRANSACTIONS, 2022, 130 :10-24
[3]   Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review [J].
Alsoufi, Muaadh A. ;
Razak, Shukor ;
Siraj, Maheyzah Md ;
Nafea, Ibtehal ;
Ghaleb, Fuad A. ;
Saeed, Faisal ;
Nasser, Maged .
APPLIED SCIENCES-BASEL, 2021, 11 (18)
[4]   Big Data Meet Cyber-Physical Systems: A Panoramic Survey [J].
Atat, Rachad ;
Liu, Lingjia ;
Wu, Jinsong ;
Li, Guangyu ;
Ye, Chunxuan ;
Yi, Yang .
IEEE ACCESS, 2018, 6 :73603-73636
[5]   Architecting Smart City Digital Twins: Combined Semantic Model and Machine Learning Approach [J].
Austin, Mark ;
Delgoshaei, Parastoo ;
Coelho, Maria ;
Heidarinejad, Mohammad .
JOURNAL OF MANAGEMENT IN ENGINEERING, 2020, 36 (04)
[6]   The digital revolution of Earth-system science [J].
Bauer, Peter ;
Dueben, Peter D. ;
Hoefler, Torsten ;
Quintino, Tiago ;
Schulthess, Thomas C. ;
Wedi, Nils P. .
NATURE COMPUTATIONAL SCIENCE, 2021, 1 (02) :104-113
[7]   A digital twin of Earth for the green transition [J].
Bauer, Peter ;
Stevens, Bjorn ;
Hazeleger, Wilco .
NATURE CLIMATE CHANGE, 2021, 11 (02) :80-83
[8]   Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data [J].
Bazilevs, Y. ;
Deng, X. ;
Korobenko, A. ;
di Scalea, F. Lanza ;
Todd, M. D. ;
Taylor, S. G. .
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 2015, 82 (09)
[9]  
Cai X., 2019, Water Resour. Informatiz, V02, P7
[10]  
Cai Y., 2022, CHINA WATER RESOUR, V20, P2