Initial Thoughts and Application of AI in Geo-hazards Monitoring and Early Warning of Highroad in Beijing

The highroad geo-hazards in Beijing monitored mainly on human inspections at present. However, human inspection exists some risks and lags when encountering bad weather or geo-hazards. The remote video monitoring has real-time characteristics to deal with the intuitional viewing, information richness and traceability, to compensate the shortage of human inspection to some extent. On the other hand, massive image data acquired by the remote video monitoring system to exceeds the processing capability of humans. And the real-time ability of data processing is higher and time constrained. In this consideration, artificial intelligence (AI) technology can meet the above requirements for fast and accurate automatic judgment capability with high importance. This learning integrates the AI techniques with manual control to realize the automatic identification, forecast and early warning of the falling rock on road along with the sliding of slants. This will necessarily improve the intellective level of disaster identification and management, and can provide people with safer and more convenient travel services.