Construction Project Management with Digital Twin Information System

Abstract

The current stage in the development of the construction industry is its digitalization, which requires the transformation of processes and models based on the use of digital platforms and twins. Datasets in a construction project accumulates quickly and becomes difficult to store and process due to the large file sizes of CAD,GIS and BIM technologies. Managing such datasets is a complex problem, since the usefulness of such data lies in ensuring that it is available and used as needed by all participants in a construction project. The article proposes to develop an information system for creating digital twins of construction project management as an integrator of digital tools based on Big Data Analytics and BIM technology, which is already the standard for the digitalization of the construction industry. The study describes four types of digital twins and ten properties of Big Data required for construction project. Conceptual model of Big Data domains for construction project and BIM-model of Big Data exchange and information transfer for construction project digital twin are considered. The authors propose a framework for creating digital twins of construction project management that uses three main components: BIM-models, Big Data Analytics and Knowledge Base. The results of the study are structure of information system of creating digital twin of territory urban planning project for Design Company and example using a BIM-oriented software product.