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

Abstract

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.

Description

technical field [0001] The invention relates to the field of catastrophe prediction of various geotechnical engineering such as slopes, tunnels, foundations, and geological disasters, and specifically relates to a real-time intelligent early warning method for catastrophe dynamics of various geotechnical engineering based on on-site displacement monitoring. Background technique [0002] At present, my country is the country with the most frequent civil engineering activities. The common feature of civil engineering activities is that they are inseparable from the rock and soil geological environment. Therefore, geotechnical engineering catastrophes are widely encountered in various civil engineering activities. For the rock and soil geological environment, The country has invested a lot of money in geotechnical engineering stability evaluation, geotechnical engineering monitoring, geotechnical engineering disaster prediction and geotechnical engineering governance. [0003] T...

AI Technical Summary

Problems solved by technology

Therefore, various geotechnical projects, such as slopes, tunnels, foundations, geological disasters, etc., generally require on-site monitoring of displacement in engineering practice, and evaluate the stability of rock and soil by fitting the displacement-time relationship. Judgment of catastrophe by sudden displacement, but this displacement monitoring technology cannot predict and early warning of geotechnical catastrophe

[0006] The main problem of the existing technology is that the independent research of different specific geotechnical engineering problems is theoretically mostly a verification study after the disaster, but the on-site monitoring cannot realize the early warning of the disaster, thus investing a lot of manpower, material resources and financial resources, as well as complicated and repetitive operations. research, and it is difficult to achieve reliable disaster warning

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