Mountain geological disaster monitoring and prewarning system and method based on digital twin driving

Abstract

A mountain geological disaster monitoring and prewarning system based on digital twin driving comprises data acquisition sensors arranged on a physical layer, a DT monitoring module, a DT prediction module and a DT prewarning module arranged on an information layer, and clients on a visualization layer. A monitoring and prewarning method comprises the following steps: Step 1, investigation is carried out on a geological environment, and a monitoring plan is obtained for focused monitoring on a current area; Step 2, real-time data is obtained according to the monitoring plan obtained in Step 1,and historical geological disaster data are all stored in a geological disaster digital twin database and analyzed in the DT prediction module; Step 3, BP neural network analysis is carried out in the DT prediction module based on the historical geological disaster data to obtain a geological disaster prediction model; and Step 4, the monitoring data obtained in Step 2 is stored in the geologicaldisaster twin database to obtain prediction results, and the prediction results are sent to the clients for visualization. The system and method provided by the invention has the characteristics thatthe personal safety of residents, tourists and the like can be protected, and economic losses can be reduced.

Description

technical field [0001] The invention belongs to the technical field of monitoring and early warning of mountain geological disasters, and in particular relates to a system and method for monitoring and early warning of mountain geological disasters driven by digital twins. Specifically, real-time and online monitoring of the geological environment is realized through the method of combining virtual and real, intelligently predicting the risk factors of the monitored environment, and timely forecasting. Background technique [0002] At this stage, digital twins are widely used in smart manufacturing. With the development of many famous enterprises and national policies, digital twins are applied to smart cities, livestock farm design, etc. The monitoring of geological disasters started with the use of remote sensing technology, followed by the development of GPS technology and GIS technology, and the monitoring of geological disasters began with 3S technology in the world. U...

AI Technical Summary

Problems solved by technology

Traditional forecasting methods cannot accurately predict geological hazards and have a lot of objective factors; although statistical forecasting methods can remove objective factors, they require a large number of statistical calculations, which often affect the forecast results due to the inaccuracy of the calculation results Authenticity; the artificial intelligence method can quickly make fast and accurate predictions through the geological hazard module

In terms of early warning of geological disasters, the forecast information at this stage needs long-term detection and maintenance, and the real-time and refinement level is not high enough

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