The slope monitoring and early warning platform consists of data acquisition, real-time data processing, AI early warning, and visual display modules. It monitors slope displacement, triggering factors, short-term imminent data, and other indicators in real time, automatically warns of risks, supports scientific decision-making, improves slope safety management, and reduces disaster hazards.
Monitors the operating status of connected monitoring devices such as power, signal strength, and temperature, and automatically diagnoses faults.
Data Fusion and Standardization：
Adapts to mainstream data collection protocols and standards for multi-source spatiotemporal data fusion and alignment; supports new intelligent auditory sensors for internal slope instability monitoring.
AI Early Warning：
AI time-series prediction models integrate soil parameters and auditory models, processing displacement, rainfall, stress, power spectrum, DV/V, and other data to build a dedicated “one slope, one model” landslide analysis model.
Data Visualization：
2D and 3D visualization displays terrain, structure, morphology, and monitoring data intuitively.
Core Value
Early Disaster Warning
：
Provides early warning to protect life and property and keep transportation networks open.
Proactive Maintenance Transformation
：
Promotes infrastructure maintenance from passive response to proactive prevention.
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Guangdong Public Security Registration No. 44030502007982