Issue |
MATEC Web Conf.
Volume 279, 2019
10th International Scientific Conference Building Defects (Building Defects 2018)
|
|
---|---|---|
Article Number | 01013 | |
Number of page(s) | 8 | |
Section | Building Information Modeling (BIM) | |
DOI | https://doi.org/10.1051/matecconf/201927901013 | |
Published online | 12 April 2019 |
Brownfield database in light of the BIM method
Department of Civil Engineering, Faculty of Technology, The Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
Corresponding author: kramarova@mail.vstecb.cz
The paper deals with two very current topics – brownfields and BIM models, building information models. While BIM models of buildings and their interconnection to other systems (GIS) are both, in the Czech Republic and internationally, the issue discussed not only by the professional public, but also by politicians, brownfields and their databases are at the edge of interest in political-decision-making. It can be said that the brownfield database, ie areas with predominantly defective and unused buildings, with the data contained therein can form the basis for data models of these building and areas. This article outlines the information, data and knowledge of brownfields used by all professions in the AEC industry and examines their compatibility with BIM models of building or areas, that go hand in hand with the current BIM transition in the Czech Republic.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.