Open AccessDevelopment of a Methodology for the Transition to Information Modeling Technologies in Engineering Surveys (On the Example of Engineering and Environmental Surveys)
Author(s) -
A. S. Fleenko,
A. F. Demianenko
Publication year - 2021
Publication title -
vestnik novosibirskogo gosudarstvennogo universiteta. seriâ: informacionnye tehnologii/vestnik novosibirskogo gosudarstvennogo universiteta. seriâ: informacionnye tehnologii v obrazovanii
Language(s) - English
Resource type - Journals
eISSN - 2410-0420
pISSN - 1818-7900
DOI - 10.25205/1818-7900-2021-19-3-70-82
Subject(s) - context (archaeology) , futures studies , information engineering , computer science , presentation (obstetrics) , set (abstract data type) , system lifecycle , systems engineering , information system , data science , engineering , geography , medicine , archaeology , software , artificial intelligence , application lifecycle management , electrical engineering , radiology , programming language
Information modeling technology also known as BIM is becoming an important part of working with data in various fields of activity. At the same time, there are still no specific recommendations for the transition to the use of digital models at the survey stage. Although engineering survey data is the basis for further actions within the life cycle of objects. The article characterizes the methodology for the modernization of engineering surveys in the context of information modeling, operating with the methods of systems analysis, foresight research and risk management. The combination of these methods allows you to identify ways of development and characterize them. All changes in the engineering survey system are described using the example of the engineering and environmental section. This is due to the fact that environmental engineering surveys use information from other sections of the survey and show reactions to changes in the system. The authors believe that under existing conditions, the most effective direction is the presentation of the results of engineering surveys in a standard form, provided that they are supplemented with a set of digital models by type of survey. In this case, it is assumed that the role of information modeling will gradually increase.