Deformation Monitoring and Analysis of Deep Foundation Pit Construction Period based on Internet of Things Technology

Abstract

In order to solve the problem of low detection accuracy in building structure safety monitoring, the author proposes a deformation monitoring and analysis during deep foundation pit construction based on Internet of Things technology. This method takes a large-scale construction project in a certain city as an example, applies neural network prediction models to deformation monitoring of foundation pits and main structures, and compares and analyzes the predicted results with actual measurement data. The experimental results show that the average MAE value of the predicted values is 0.15mm, and the average RMSE value is 0.17mm. The prediction accuracy of the neural network prediction model is high, which meets the accuracy requirements of deformation monitoring prediction. The use of Internet of Things technology can effectively ensure the safety of large buildings during construction, and has wider application value and prospects in deformation monitoring of future construction projects.