A method for Adaptive Radiation Therapy based on plan library invoking, comprising: acquiring a medical image of the day and a target plan library of a target patient, wherein the target plan library comprises a plurality of groups of images of the target patient and a radiation therapy plan corresponding to each set of images; and determining the radiation therapy plan corresponding to the target patient according to the medical image of the day and the target plan library; characterised in that: wherein before the determining the radiation therapy plan corresponding to the target patient according to the medical image of the day and the target plan library, the method further comprises: acquiring a motion time sequence data set of the target patient, wherein the motion time sequence data set comprises at least a body surface feature motion time sequence of the target patient or an in vivo feature motion time sequence of the target patient; constructing a trajectory prediction model according to the motion time sequence data set, wherein the trajectory prediction model is configured to perform trajectory prediction on a region of interest of the target patient; and performing delay correction on the trajectory prediction model to obtain a target trajectory prediction model, wherein, the trajectory prediction model is used for predicting position information of the region of interest after preset time, in order to determine the radiation therapy plan corresponding to the target patient from the target plan library according to the position information of the region of interest. acquiring a medical image of the day and a target plan library of a target patient, wherein the target plan library comprises a plurality of groups of images of the target patient and a radiation therapy plan corresponding to each set of images; and determining the radiation therapy plan corresponding to the target patient according to the medical image of the day and the target plan library; characterised in that: wherein before the determining the radiation therapy plan corresponding to the target patient according to the medical image of the day and the target plan library, the method further comprises: acquiring a motion time sequence data set of the target patient, wherein the motion time sequence data set comprises at least a body surface feature motion time sequence of the target patient or an in vivo feature motion time sequence of the target patient; constructing a trajectory prediction model according to the motion time sequence data set, wherein the trajectory prediction model is configured to perform trajectory prediction on a region of interest of the target patient; and performing delay correction on the trajectory prediction model to obtain a target trajectory prediction model, wherein, the trajectory prediction model is used for predicting position information of the region of interest after preset time, in order to determine the radiation therapy plan corresponding to the target patient from the target plan library according to the position information of the region of interest. acquiring a motion time sequence data set of the target patient, wherein the motion time sequence data set comprises at least a body surface feature motion time sequence of the target patient or an in vivo feature motion time sequence of the target patient; constructing a trajectory prediction model according to the motion time sequence data set, wherein the trajectory prediction model is configured to perform trajectory prediction on a region of interest of the target patient; and performing delay correction on the trajectory prediction model to obtain a target trajectory prediction model, wherein, the trajectory prediction model is used for predicting position information of the region of interest after preset time, in order to determine the radiation therapy plan corresponding to the target patient from the target plan library according to the position information of the region of interest.