The invention relates to an
energy consumption modeling and multi-parameter
risk identification method for complex stratum shield construction, and solves the problems that in the complex stratum shield construction, due to the high-dimensional and
nonlinear coupling relation between geology and multiple parameters, the
energy consumption prediction precision of an existing method is insufficient, and the
energy consumption prediction accuracy is poor. The method comprises the steps that shield construction parameters and geological information are collected, geological features are extracted, and key parameters are screened. And constructing a
Gaussian process regression model to predict tunneling
specific energy, and optimizing a kernel function. Variable edge distribution is fitted, joint distribution is established through Copula, and an optimal model is selected. A sample is generated through Monte Carlo
simulation, and a high-energy-consumption threshold value is set to recognize a high-risk working condition. And key parameter combinations are extracted to generate a probability density thermodynamic diagram, and risk early warning and operation optimization are realized. The method has the advantages that accurate prediction of shield construction energy consumption is achieved, the high-energy-consumption risk working condition is recognized from the probability level, and active early warning and operation optimization are supported.