Subway shield construction surface deformation warning method based on temporal and spatial information fusion

Abstract

The invention discloses a subway shield construction surface deformation warning method based on temporal and spatial information fusion. According to the method, shield construction surface deformation warning sign fusion and regional warning decision fusion are realized by combining an information fusion theory and a hierarchical fusion thought with surface deformation monitoring information and through a feature fusion algorithm based on a RBF neural network and a decision fusion algorithm based on a D-S evidence theory. A warning means and informationization tool integrating the functions of alarm identification, alarm analysis, alarm prediction, alarm evaluation and alarm decision is provided for the construction site. The method is of important significance to the enhancement of shield construction surface deformation safety risk monitoring and the improvement of shield construction safety risk management level.

Description

technical field [0001] The invention belongs to the technical field of early warning of surface deformation in shield tunneling, and in particular relates to a method for early warning of surface deformation in subway shield construction based on spatio-temporal information fusion. Background technique [0002] At present, mature tools for comprehensively developing relevant safety early warning systems and applying them in actual shield tunneling projects are developing rapidly at home and abroad. The Italian GeoDATA company launched an information management platform called GDMS (geodata master system), which uses GIS and WEB technology, and consists of building status management system, building risk assessment system, shield data management system, and monitoring data management system. It is composed of 5 subsystems including the document management system, which have been applied in the subway projects of St. Petersburg in Russia, Rome in Italy and San Diego in Italy. ...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the early warning methods for surface deformation of subway shield construction at home and abroad are based on single or single monitoring data, lacking the fusion of time and space information, resulting in one-sided early warning judgments and affecting the accuracy of early warning; the theoretical basis for predicting data acquisition at this stage is traditional However, there are systematic errors in calculations using stochastic medium theory directly; there are no established standards or methods for early warning area division and on-site inspection methods, which affect the rationality and accuracy of regional early warning.

Images