Aimed at the fault of the traditional hypothesis that the lifetimes of the individuals obey the independent identically distribution, this paper constructs the Bayesian Weibull shared frailty model. As for the products whose lifetime distribution belongs to Weibull distribution, this paper brings forward the MCMC method based on Gibbs sampling to simulate dynamically the Markov chain of the parameters' posterior distribution. It also gives out the parameters´ Bayesian estimation of the Weibull shared frailty model in the condition of the random truncated test and the prior distribution of the frailty belonging to the Gamma distribution. The precision of the numeration can thus be improved. Also, this paper utilizes the data's simulation to show the process of setting the model by using the WinBUGS package, and proves the objectivity and validity of the model.