Digital twin of optical telescopes could provide high reliable models to predict the performance of the overall system during the design or the manufacture stage and could further be used to analyse faults after we build these telescopes. Comparing with conventional simulation methods, the digital twin of optical telescopes would import real test or telemetry data with machine learning algorithms and integrate numerical models with these data. As there are a lot of data to be collected, such as test data for optical elements, telemetry data from the telescope and the outer environment, it would be necessary to develop an appropriate database for digital twin of the optical telescope. In this paper, we would discuss our design of the database and use a simple example to show applications of the database.
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