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ITU-T work programme

[2022-2024] : [SG11] : [Q3/11]

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

Work item: Q.Req_ Frame_RRDN
Subject/title: Requirements and framework for rapid response to sudden natural disasters in network
Status: Under study 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2025-12 (Medium priority)
Liaison: SG2, SG16, 3GPP, GSMA
Supporting members: China Unicom, China Telecom, Beijing University of Posts and Telecommunications
Summary: According to statistics, there were 313 natural disasters worldwide in 2020, affecting 123 countries and regions. Natural disasters caused 15,082 deaths and affected 98,966,700 people. There are many hazards associated with natural disasters, including but not limited to environmental pollution, destruction of ecosystems, economic loss and damage to life. The causes of disasters are diverse, and we need to minimize the occurrence of natural disasters from man-made causes, as well as respond well to post-disaster situations, especially to reduce the loss of life. With the development of mobile networks and changes in information technology, networks can take on more responsibility for rapid response to sudden natural disasters. Existing mobile network connectivity and data-enabled objects lack adaptability to rapid mitigation and rescue in sudden natural disasters. There are no common solutions, models and functional integration at the base network level, resulting in no effective emergency analysis and support in the event of a disaster. There are many limitations in the response to disaster, resulting in missing the best time to rescue and thus failing to further reduce the impact of the disaster. Existing networks and rescue methods have four major limitations: a.Lack of historical data, which limited rapid and effective data analysis. b.No emergency analysis models applicable to the scene. c.Inability to quickly assemble professional analysts. d.Complexity of implementing rescue methods. Therefore, it is necessary to apply technologies such as big data and artificial intelligence to mobile networks to build a rapid response system for emergency scenes of sudden natural disasters to quickly achieve disaster relief within the best rescue time. The system is able to send disaster warning to relevant people in the region, detects affected people, locates affected people, assists in rescue, etc.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Xinzhou Cheng, Editor
Song Chuntao, Editor
Dan Luo, Editor
Jinlan Ma, Editor
Rui Xia, Editor
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First registration in the WP: 2023-06-21 14:02:14
Last update: 2024-02-09 14:53:55