An intelligent material completeness detection and configuration method based on digital twin and augmented reality (AR) includes: constructing a digital twin model base and knowledge base of an incomplete material; importing the digital twin model base and knowledge base of the incomplete material respectively into a model database and a knowledge database in a digital twin system database; sending materials to be detected into a vision-based material completeness detection platform, sorting out an incomplete material, acquiring corresponding data, and importing the data into an incomplete material information database; performing, based on an AR device, perception and reconstruction of incomplete material configuration; matching a configuration plan of the incomplete material in a digital twin relational database, and performing a virtual-real fusion in the AR device; and allowing, a worker to rapidly and accurately find a location and problem type of the incomplete material and configuration the incomplete material.