Geotechnical engineering cataclysm dynamic real-time intelligent early warning method based on displacement monitoring

The invention relates to a geotechnical engineering cataclysm dynamic real-time intelligent early warning method based on displacement monitoring. The method is characterized by comprising the following steps of: getting real-time displacement monitored data of an object by geotechnical engineering field displacement monitoring; constructing a displacement rate-time sample database; establishing an ANFIS (adaptive network-based fuzzy inference system) by an MATLA (matrix laboratory); training the ANFIS by a displacement rate-time sample to get a displacement rate intelligent prediction model; setting a judging basis of a cataclysm displacement rate threshold by combining expert experience with the specific geotechnical engineering object; giving out a displacement rate predicated value of the next time period by the ANFIS; comparing the predicted value with the cataclysm threshold, if the predicted value is more than the cataclysm threshold, performing early warning; otherwise, updating sample data with the actually measured displacement data of the next time period, and re-training the model; and predicting the displacement of the next time period till the predicted value is more than the cataclysm threshold. The method disclosed by the invention has the significant effects that the method is generally suitable for side slopes, tunnels, ground foundations, geologic hazards and other various geotechnical projects; and the reliability in cataclysm dynamic early warning is high, and the operation is simple.