An intelligent reliability evaluation and service life prediction method for a kilometer deep well hoist brake, the method including: the establishment of a digital twin model for a hoist brake, data acquisition and synchronization, and reliability evaluation and service life prediction, wherein the digital twin model for the hoist brake can accurately reflect actual physical characteristics of the hoist brake, the data acquisition and synchronization can realize real-time mapping between a physical entity of the hoist brake and the digital twin model therefor, and furthermore, on the basis of the digital twin model for the hoist brake, the reliability evaluation and service life prediction are realized. Digital twin technology is combined with a reliability analysis method, so that real-time updating of reliability evaluation and service life prediction of the hoist brake are realized.