The invention discloses a bridge temperature-induced strain prediction method under the influence of non-
constant noise, and the method comprises the steps: building a
training set containing main beam temperature and temperature-induced strain according to historical
monitoring data, and assuming a
test set; under a heterovariance
Gaussian process framework, constructing conditional distribution of temperature-induced strain of a main beam of the
test set as an undetermined heterovariance
Gaussian regression model; a variational
Bayesian inference method is adopted to construct a variational free energy boundary based on variational posteriori distribution, and approximation is performed on the variational free energy boundary to obtain an edge variational boundary; assuming that the variational posteriori distribution of the
noise logarithmic
variance function obeys multivariate normal distribution, simplifying an edge variational boundary into a new edge variational boundary, and solving to obtain a hyper-parameter and a variational parameter; and substituting the obtained result into the to-be-determined heterovariance
Gaussian regression model, obtaining new main beam temperature data, and predicting the temperature-induced strain of the main beam in the
test set. The bridge temperature-induced strain prediction method under the influence of the non-
constant noise is established, the prediction precision can be ensured, and the calculation efficiency can be improved.