A C/S Architecture-Based Advance Prediction Method of Tunnel Geology

Abstract

The invention discloses a tunnel geology advanced prediction method based on a C / S framework; the method can predict disaster risk of the tunnel geology; every participation unit shall cooperate on a uniform platform; during the tunnel construction process, the risk evaluation report is generated by taking geological survey data as basis and analyzing and judging every monitoring data, geophysical prospecting and exploration results in tunnel construction, so as to guide the avoid risk of tunnel construction while display risk sources by graphics and charts. Meanwhile, quantified judgment standard of the tunnel karst geology disaster risk evaluation applies fuzzy mathematics and expert investigation method, thus the disaster risk can be visually evaluated, and the computer risk evaluation system is convenient to integrate, thus the tunnel karst geology disaster risk valuation is performed by this; the method has great significance in advanced prediction of the tunnel geology.

Description

technical field [0001] The invention relates to the technical field of geological exploration, in particular to a geological advance prediction method suitable for large deep buried long tunnels. Background technique [0002] In my country's engineering construction, due to the influence of terrain conditions, highways and railway lines often use tunnel schemes to cross mountains, and large hydropower stations often have long diversion tunnels and traffic auxiliary tunnels. A large number of "long and deep buried" tunnels have become mountainous areas Control engineering of engineering construction. During the tunnel construction process, advance geological forecasting of the geological conditions and possible geological disasters in front of the tunnel face will play a decisive role in the normal construction and smooth penetration of the tunnel. Successful prediction prompts the construction to take timely countermeasures to prevent them from happening; on the contrary, it...

AI Technical Summary

Problems solved by technology

However, in the current forecasting process, the division of labor between various departments is messy, the coordination is disorderly, the data processing and information management are procrastinated, the efficiency is low, and there is a lack of a mature system and a system platform for information exchange and data transmission by various departments.

[0006] The content of advanced geological forecasting is mainly limited to the forecasting of the basic geological conditions of tunnels and unfavorable geological bodies. There are very few researches and forecasts on construction geological disasters with complex mechanisms of formation, such as rock bursts, large deformations, karsts, and water inrushes. The forecasting of some geological diseases Late forecasting and risk management

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