Wuhan City Safety Risk Monitoring & Early Warning Platform
Wuhan's city government switched on a unified safety-risk platform on 25 December 2024, aiming to replace after-the-fact emergency response with pre-event prediction across four hazard categories: urban 'lifeline' infrastructure, public safety, workplace safety and natural disasters. It pools weather, drainage and river-level data, watches 200 mapped waterlogging hotspots, and — its largest single sensor deployment — reads 15,000 sensors and 3,200 video cameras across roughly 700 bridges and 100-plus tunnels citywide. Built on a digital-twin base map encoding more than 30 million objects (population, roads, utilities, facilities) by the city-owned Wuhan Cloud Computing Technology, it routes alerts through a three-tier municipal/district/community response chain and is now being extended to other cities across Hubei province.
📊 Impact
15,000 sensors and 3,200 cameras deployed across roughly 700 bridges and 100-plus tunnels; continuous monitoring of 200 designated waterlogging-prone points citywide; a digital-twin base map encoding more than 30 million objects (Wuhan municipal government, December 2024, self-reported).
🎓 Lesson
A monitoring platform this dense only reached full citywide scope in December 2024 — thoroughness of sensing and proof that it actually shortens disaster response are not the same thing yet.
📖 Terms in this entry: Digital twin · Adaptive traffic signals · ANPR (automatic number-plate recognition)
Sources
This overview was generated with AI from the public sources listed above and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
Continue exploring
Compare this project
Explore the wider context
📎 Cite this project
1001 Smart Cities (2026). “Wuhan City Safety Risk Monitoring & Early Warning Platform” — Wuhan, China. The Smart City Atlas. https://1001smartcities.org/projects/wuhan-safety-risk-platform/ (last verified 2026-08-02). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
