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The basic property of the digital twin is its metrology, which includes methods and means of ensuring the uniformity of measurements and achieving their required accuracy. The purpose of this study is to justify the basic functions of digital twin metrology - measuring and correcting an "exact" copy of a physical object, with justification of the frequency of this measurement based on the emerging risks of disturbing the functionality of the technical object. The methodology of using object-process data model when creating digital twins is presented. Methodology for calculating failure probability of technical object depending on probabilistic characteristics of its individual properties is shown. The variants of periodicity of measurements of changing properties of technical object to ensure the adequacy of digital model taking into account the probability of failure occurrence are shown. The variant of estimation of economic efficiency of digital twin of technical object is considered. The scheme for determination of economically justified period of technical object operation taking into account probability of failure occurrence is shown. The article considers an example of creation of digital model of metal-cutting tools and control process of wear of their cutting edges. The presented mathematical model allows virtual prediction of the tool cutting edge wear and probability of failure occurrence. The inverse relations between the physical object and the mathematical model allow to correct the empirical coefficients.