Foundation pit engineering early warning method and system based on analysis of massive monitoring data

Abstract

The invention provides a foundation pit engineering early warning method and system based on analysis of massive monitoring data. According to the foundation pit engineering early warning method and system based on the analysis of the massive monitoring data, a concept of big data is introduced, risk control indicators of risk sources are statistically analyzed through the massive monitoring dataand not limited to a single deformation control amount; based on the massive monitoring data, the risk level of a single underlying risk source and the risk probability corresponding to each level areanalyzed, steel support axial force data are used as an example, the ratio of actual axial force to design axial force is low risk outside a 70% interval, medium risk outside an 80% interval, and high risk outside a 90% interval; and according to the big data statistical analysis method, foundation pit information and data are collected and foundation pit data of the system are updated timely, through the accumulation of foundation pit risk information, control indicators of monitoring items are dynamically adjusted, and risk management is enabled to be more accurate.

Description

technical field [0001] The present invention relates to the technical field of risk early warning of foundation pit engineering in civil engineering, in particular to a method and system for early warning of foundation pit engineering based on the analysis of a large amount of monitoring data. Background technique [0002] In recent years, foundation pit engineering has been developing towards large-scale and large-depth. With different geological conditions, various support forms, and complex working conditions, the theoretical research, design and construction of foundation pit engineering are facing many problems. Accidents happen frequently during the construction of foundation pit engineering, and they will happen under different geological conditions, different construction levels, and different foundation pit grades, resulting in many serious consequences. Therefore, it is necessary to carry out risk analysis and early warning for foundation pit engineering, especiall...

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Problems solved by technology

However, the above-mentioned patents have the following shortcomings: the risk control index value is not obtained through statistical analysis combined with a large amount of monitoring data, and this method can only be used to judge whether the foundation pit is deformed, and cannot be applied to other monitoring indicators

Chinese patent application CN106022634A discloses a foundation pit risk management method based on big data analysis, which comprehensively analyzes the deformation of the foundation pit from the monitoring data and environmental factors during the construction process, and comprehensively judges the construction process of the foundation pit through a large number of data fusion However, the above-mentioned scheme has the following deficiencies: because the occurrence probability of underlying risk events is obtained through deep foundation pit engineering accident case investigation and data analysis, the risk level of underlying risk events and the corresponding probability of each level are not analyzed; Moreover, the risk assessment of foundation pits based on expert judgment has certain limitations, and it is necessary to analyze objective laws in combination with big data statistics

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