Accurate prediction of communication link reliability is the key to ensure the selection of laser communication link. Therefore, the confidence interval prediction method of laser communication link reliability is studied to improve the availability and quality of service of communication link. The signal-to-noise ratio of the laser communication link is the reliability characteristic of the laser communication link; Through wavelet decomposition algorithm, the signal-to-noise ratio sequence of laser communication link is decomposed, and the noise sequence and stationary sequence are obtained; In the extreme learning machine, the stationary sequence is input to predict the stationary sequence of the signal-to-noise ratio of the laser communication link at the next moment; The standard deviation sequence of the noise sequence is solved and input into the extreme learning machine to predict the noise sequence of the signal-to-noise ratio of the laser communication link at the next time; According to the cumulative distribution function of Gaussian distribution, combined with the prediction results of the next time stationary sequence and noise sequence, the confidence interval of laser communication link reliability is determined, and the confidence interval prediction of laser communication link reliability is completed. Experiments show that the noise sequence obtained by this method is mainly concentrated in the range of ± 6 dbm, and the maximum error between the upper and lower bounds of the prediction results and the actual confidence interval is only 1.1 sbm, which is practical.