Steel box girder sliding installation monitoring method and system based on BIM

Abstract

The invention discloses a BIM-based steel box girder sliding installation monitoring method and system, and relates to the technical field of construction monitoring. The method is used for solving the problems of insufficient real-time monitoring precision and risk early warning lag in the slippage process of the steel box girder. Through non-uniform rational B-spline surface reconstruction, high-precision matching of a BIM model and a laser scanning point cloud is realized, a dynamic anchor point coordinate is generated, a strain measurement value is corrected, and the slip stability is evaluated in combination with an inclination angle change rate and a displacement increment. And a bidirectional long-short-term memory neural network model is utilized to predict the accumulated deviation of the sliding track in the future ten seconds, and hydraulic pushing deviation correction parameters are generated when the accumulated deviation exceeds a threshold value. And constructing a stress distribution thermodynamic diagram based on a radial basis function interpolation algorithm, and marking collision risk coordinates in real time. And finally, dynamically adjusting the proportion-integral coefficient according to the risk index, generating a hydraulic oil cylinder adjusting instruction, realizing closed-loop real-time deviation correction control in the slippage process, and improving the installation safety and accuracy.

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