Security risk early warning measurement and judgment method of foundation pit tunnel engineering

Abstract

The invention discloses a security risk early warning measurement and judgment method of foundation pit tunnel engineering. According to the practical monitoring data of each monitoring program of the foundation pit tunnel engineering and various influence factors including an early warning factor, an early warning amount and the like of each monitoring program, mining analysis is carried out through methods including hierarchy analysis, fuzzy comprehensive evaluation and the like, a security state discrimination or risk prediction matrix method under various influence factors is established, a security risk or early warning situation of the engineering is calculated and judged, the oneness, the subjectivity and the retardance of the security risk early warning level discrimination of the engineering are overcome, the information construction, the security risk dynamic control, the early warning, the response and the disposal of the engineering can be effectively guided, the scientificity, the rationality and the standardization of the security risk early warning of the engineering in the foundation pit tunnel engineering can be realized, and the security risk precontrol and management level of foundation pit tunnel construction is improved.

Description

Technical field [0001] The invention relates to an intelligent measurement and judgment method for the safety risk early warning of foundation pit tunnel engineering based on engineering monitoring data and its early warning indicators, in particular to a classification of the safety state of the surrounding support structure and its early warning during the construction of urban track foundation pit tunnel engineering Intelligent measurement and judgment method of response, disposal and pre-control management. Background technique [0002] Currently, my country's urban rail transit planning and construction has entered a period of vigorous development. Urban rail transit is located in complex urban environmental conditions, geological and rock-soil conditions, and the project construction risks are prominent. Due to improper design, construction or inadequate information management, the new rail transit project’s surrounding support structure cracks, tilts, slips, and Collapse ...

AI Technical Summary

Problems solved by technology

However, due to the complexity and unpredictability of underground engineering, urban rail transit projects mainly based on foundation pit tunnels have been based on monitoring data and early warning indicators for a certain type of monitoring items for many years, combined with expert experience and on-site Consultation, verification and other post-work, carry out early warning and disposal of such monitoring items, without comprehensively considering the simultaneous early warning and their joint effects of various monitoring items, as well as the overall impact on the safety of foundation pit tunnel engineering and the real early warning index

That is to say, there is currently a lack of mining and analysis of massive monitoring data and their internal interrelationships. The basis for judging and guiding actual work on monitoring data and early warning indicators is single and arbitrary, and its scientificity, rationality and timeliness need to be improved. strengthen

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