Monitoring and Warning for Digital Twin-driven Mountain Geological Disaster

With the unprecedented increase in the complexity of human space activities, geological disasters are increasing. In recent years, with the development of information technology and artificial intelligence, the monitoring and prediction of geological disasters requires real-time, dynamic and the early warning process to be more intelligent. A digital twin can better combine physical space and information space. Through the fusion of these two spaces, a digital disaster monitoring and early warning system based on digital twin driving is established. Firstly, the system uses Internet of Things, data-driven technology, and so on, combined with the BP neural network algorithm for dynamic prediction of geological disasters. Secondly, the disaster information is used to alert nearby residents through the Internet and base stations. On this basis, the operational mechanism, key technologies and implementation methods of geological disaster monitoring and early warning based on digital twin driving are discussed.