Issue |
E3S Web Conf.
Volume 281, 2021
IV International Scientific Conference “Construction and Architecture: Theory and Practice of Innovative Development” (CATPID-2021 Part 1)
|
|
---|---|---|
Article Number | 04010 | |
Number of page(s) | 6 | |
Section | Computational Methods, Mathematical Models and Information Technology in Construction | |
DOI | https://doi.org/10.1051/e3sconf/202128104010 | |
Published online | 02 July 2021 |
Development of the information modeling (BIM) conceptusing Big Data technologies for the implementation of the life cycle management system for capital construction of transport infrastructure
Moscow State University of Civil Engineering (MGSU) National Research University, 129337, Moscow, Russia
* Corresponding author: zheleznovmm@mgsu.ru
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.