2024
DOI: 10.3390/s24051495
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Predicting the Posture of High-Rise Building Machines Based on Multivariate Time Series Neural Network Models

Xi Pan,
Junguang Huang,
Yiming Zhang
et al.

Abstract: High-rise building machines (HBMs) play a critical role in the successful construction of super-high skyscrapers, providing essential support and ensuring safety. The HBM’s climbing system relies on a jacking mechanism consisting of several independent jacking cylinders. A reliable control system is imperative to maintain the smooth posture of the construction steel platform (SP) under the action of the jacking mechanism. Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Temporal Convolutional Net… Show more

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