Disaster Risk Management Platform
In 2021, ISTRONG established a Risk Management Research Institute to address the full process of natural disaster risk identification, prediction, assessment, early warning, and mitigation, creating the Disaster Risk Management Platform. The platform integrates big data analysis, neural networks, image recognition, multi-source data fusion, and multi-channel early warning technologies to achieve early identification, refined assessment, and multi-channel early warning for various disaster risks such as typhoons, heavy rain, urban flooding, floods, and forest fires. It can provide relevant product and information services to departments like meteorology, hydrology, oceanography, and related enterprises, assisting users in effectively avoiding natural disaster risks, advancing risk prevention, and averting potential hazards. For more information, please visit the official product website: www.istrongcloud.com1、Application Scenarios
(1) Government Use Cases
Flood and drought disaster defense
Emergency management
(2) Enterprise Use Cases
Offshore construction safety
Vessel navigation safety
Industrial production safety
Smart agriculture support
(3) Public Disaster Prevention Services
51 Disaster Aware: Multi-disaster risk early warning based on user location
Typhoon Tracker: One-click inquiry on typhoon location
Earthquake Monitoring: Real-time global earthquake early warning
Weather Talk: Caring for you and your family's well-being, starting with the weather
2、Case Studies
Case Study 1: Qingdao Typhoon and Heavy Rain System
This system meets the daily rainfall monitoring needs of Qingdao Water Affairs Bureau staff and enables them to promptly arrange work following early warnings during sudden heavy rainfall and other severe convective weather events. During typhoon-active periods, it enables dynamic monitoring of typhoons, focusing on typhoon risk situations and proactively managing disaster risks.
Responding to sudden heavy rainfall and severe convective weather
Risk monitoring for small and medium-sized reservoirs
Case Study 2: Suining Hydrological Flood Disaster Risk Management Platform
This platform provides hourly, 5km-resolution rainfall forecasts for the next seven days for Suining City and the Fujiang River Basin. It inputs the forecast data into hydrological prediction models and combines information on flash flood points, urban flooding points, dangerous reservoirs, hydropower stations, river islands, boat docking points, and wetland parks in Suining City to achieve timely flood risk early warnings.
Case Study 3: Wenling Emergency Risk Management Platform
This platform provides disaster risk identification, assessment, and early warning for multiple disaster types in Wenling City, such as typhoons, short-term heavy rainfall, and forest fires.
Using AI satellite remote sensing technology to quickly identify forest fire risks within Wenling's jurisdiction