Project Introduction:
The system selects stability calculation models and machine learning models based on different types of disasters to analyze and evaluate monitoring data, enabling timely and accurate early warning.
Application Areas:
This geological disaster monitoring and early warning platform can be applied in various fields such as national land industries, emergency response, highways and railways, bridges and tunnels, power plants, dams, and other disaster monitoring and early warning scenarios. Its technology level has been validated as domestically leading.
Technical Advantages:
Independent data standards, compatible with mainstream hardware manufacturers on the market.
Unique AHP model warning and AI-based warning for risk assessment and trend forecasting.
Supports multiple data communication protocols, including MQTT, TCP, HTTP, BeiDou, and others.
Provides standard data derivative services externally.
