Abstract
The development of a scientific concept of information modeling in the tasks of managing the capital construction objects’ life cycle is the key to the successful transition of Russian Railways Holding to digital methods of managing and controlling transport infrastructure. The result of the presented complex project implementation will be the scientific basis for the life cycle information modeling concept and information modeling methodology implementation at its stages. Taking into account the rapid increase in the volume of construction information, the development of automatic systems for collecting, processing and storing information, it is proposed to apply Big Data technologies. The project results are planned to be used as a basis for the pilot information modeling technologies’ development at the stages of the railway infrastructure construction objects’ life cycle.
Highlights
The project is focused on the creation of scientific and methodological foundations for solving information modeling problems at the stages of the life cycle of a railway infrastructure construction facility
Building an integrated lifecycle management system for a capital construction facility requires a special approach to the task of ensuring internal and external interoperability with corporate information systems of the Russian Railways Holding and external, including state information platforms
The goal of the project is to develop a scientific concept of information modeling (BIM) using Big Data technologies for the implementation of a lifecycle management system for capital construction of transport infrastructure
Summary
The project is focused on the creation of scientific and methodological foundations for solving information modeling problems at the stages of the life cycle of a railway infrastructure construction facility. It is planned to develop the information modeling methodologies (a description of pilot technologies) at each stage of a railway infrastructure construction object life cycle (pre-design studies and investment feasibility studies, design, construction, operation, demolition / dismantling and disposal), including the development of new methods of collection and integration of digital information into an information model using Big Data technologies and the economic efficiency of further implementation of the developed solutions
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