Achieve provincial, city, and county three-level early warning connection, and push possible disaster information to the grassroots through the system for the first time; achieve provincial, city, and county document delivery and communication.

Combined with real-time monitoring information of rain, water, wind, tide, and construction, risk assessment information, and historical disaster characteristics of each city, set discrimination conditions through the system, automatically generate classified guidance opinions and push them to relevant cities.

Automatically push early warning rain defense measure information to 530,000 responsible persons, and manage it in a templated way, one-click send early warning guides to member party committees; finely classify and grade the disaster threshold of the station.

Collect economic and social basic information and disaster statistics information level by level with towns and streets as units (build a historical disaster library, lay the foundation for the accumulation and application of big data); divide areas into finer units with towns and streets as units and count the number of people at risk in each area in charge of each responsible person.