Group monitoring and group prevention system construction plan for natural disaster risk identification, early warning and monitoring

  1. Realize global coverage of perception
  2. Realize the comprehensive convergence of monitoring
  3. Realize early identification of risks
  4. Realize fine and accurate forecast and early warning
  5. Realize targeted release of early warning
  6. Realize whole process monitoring and early warning

Improve the means of monitoring and sensing disasters such as floods and droughts, geology, forests and grasslands, meteorology, earthquakes, and agriculture, and form a natural disaster monitoring and sensing network system with full coverage of air, space, and ground integration.

Based on the high-resolution real-time dynamic perception technology covering the air, space and ground, combined with big data, cloud computing, neural network, artificial intelligence and other technologies, the comprehensive monitoring and early risk identification capabilities of single natural disasters and multi-disaster disaster chains are improved.

Coordinate natural disaster forecast and early warning information release resources, comprehensively use modern information means, expand and improve information release channels, and improve the coverage, accuracy and timeliness of early warning information release.

Realize the full aggregation of disaster perception data such as floods and droughts, geology, forest grassland, meteorology, earthquakes, and agriculture, and realize information sharing.

Improve the monitoring and early warning capabilities of a single natural disaster, build a multi-disaster and disaster chain monitoring and early warning model, and realize accurate analysis and judgment of natural disasters and accurate forecast and early warning.

Extend the monitoring and early warning system from pre-disaster prevention to disaster emergency and post-disaster disposal, and realize the whole process of monitoring and early warning of natural disasters.

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Origin blog.csdn.net/a913222/article/details/131539804