Geo-Hazards
Scene Introduction Demand Analysis Program Highlights Core Products Typical Case
Scene Introduction

Geological disasters are characterized by their high degree of concealment, suddenness, and wide distribution. Extreme weather significantly increases the risk in traditionally non-prone areas.

Ruhr IoT has constructed an integrated monitoring network encompassing air, space, ground, and deep space, deploying universal and intelligent equipment, integrating risk prediction and real-time early warning technologies, and leveraging data dashboards, multimodal data, and AI models to achieve accurate predictions. This provides end-to-end data support for disaster prevention and mitigation, comprehensively improving the level of information management.

Demand Analysis
  • Landslide Monitoring
    Focus on monitoring deformation and rainfall
  • Rockfall Monitoring
    Focus on monitoring vibration, acceleration and cracks
  • Debris Flow Monitoring
    Focus on rainfall and sediment source movement of debris-flow
Program Highlights
  • Multi-Dimensional Real-Time Dynamic Monitoring
    For different geological hazards, sensors such as GNSS, crack gauges, and inclinometers are deployed to collect multi-dimensional data in real time, including surface displacement, cracks, and rainfall, providing comprehensive control over slope health.
  • Comprehensive Alert Notification
    As monitoring date exceeds set threshold, the system immediately sends alerts via mobile, SMS, APP, etc. Ensure timely notification for both managers and the public.
  • Big Data Driven Early Warning Predictions
    Based on a "data + knowledge" dual-drive model, integrating geoscience and expert experience, the system achieves advanced prediction and regional risk analysis, automatically generating disaster prevention plans and scientifically guiding inspections and maintenance.
Core Products
Typical Case
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