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ITU GSR 2024

ITU-T work programme

[2022-2024] : [SG20] : [Q2/20]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: Y.4601 (ex Y.dt-smartfirefighting)
Subject/title: Requirements and capability framework of a digital twin for smart firefighting
Status: Approved on 2023-01-30 [Issued from previous study period]
Approval process: TAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: CEN
Supporting members: China Mobile(China), ZTE, China Unicom, BUPT, NUPT, CICT, China Telecom
Summary: Recommendation ITU-T Y.4601 specifies the requirements and capability framework of a digital twin for smart firefighting. A digital twin is a digital representation of an object of interest and may require different capabilities according to the specific domain of application such as synchronization between a physical thing and its digital representation, and real-time support (see Recommendation ITU-T Y.4600). Through the Internet of things (IoT) technology deployment and the information integration process, a digital twin can provide high fidelity digital representation of a fire scene, enable dynamic convergence between the physical entity and digital entity, achieve comprehensive understanding and control of the past, present and future of the fire scene. The current state of the art for firefighting lacks comprehensive dynamic sensing capability and prediction capability. It cannot provide delayed information, and adequate visibility of the interaction between personnel and a fire scene. Through the deployment of gateways, sensors, high quality networks, multi-physics simulations, dynamic analysis and predictions and three dimensional (3D) visualizations, the smart firefighting digital twin enables intelligent services such as personnel tracking, hazard tracking, fire scene dynamic analysis, rescue strategy optimization, pre-simulation, historical scene reconstruction, etc. These intelligent services can help to improve decision-making processes and reduce casualties.
Comment: -
Reference(s):
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Contact(s):
Jiayu Bi, Editor
Zan Ji, Editor
Sikun Li, Editor
Yizheng Li, Editor
Kai Wang, Editor
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First registration in the WP: 2020-11-18 16:52:04
Last update: 2023-02-10 14:38:40