Methodology for auditing the building information model to assess the realization of use scenarios

Cover Page

Cite item

Full Text

Abstract

Introduction. Modern BIM models include a vast amount of data, covering not only geometric characteristics, but also full attribute information. These aspects are often inaccessible to many participants in the process, and the uncertainty in their understanding makes the data collected in TIM models ineffective. In such cases, visualization of TIM model data becomes a key stimulus for more informed modelling, contributing to better decision making and improved operational processes in construction projects.Materials and methods. The research material is prepared digital information models of the building, a database with information about the buildings and links to photographic recordings of the university campus premises. To determine the possibility of implementing various scenarios for using a digital asset, a mathematical analysis method is used. This method allows you to calculate the information richness of data, which is necessary to make a decision about the possibility of implementing a particular scenario. The controlled parameters presented in the mathematical model may have varying degrees of importance when forming the final assessment. To determine the influence of auxiliary parameters on the final assessment, the method of expert assessments is used. The method consists of assigning points to each parameter by each expert on a scale from 1 to 10 depending on its importance.Results. A methodology of auditing the filling of the model with attribute information for current scenarios for using DIM at the operational stage is developed. A comparative analysis of data verification using the proposed mathematical model and BI tools was performed. The result of the analysis showed the advantages of visual inspection in the possibility of a comprehensive analysis of a digital asset, including data of various types.Conclusions. The methodology for checking an information model in order to implement use scenarios allows you to assess whether it is possible to implement a use scenario for a specific model. When it is necessary to expand the set of information about a project, gain the ability to analyze and solve problems in the construction industry, Power BI reports are used. The tandem of BIM modelling and BI systems increases efficiency in reducing costs and meeting deadlines, and also opens up the possibility of introducing machine learning.

About the authors

V. S. Shirokova

Peter the Great St. Petersburg Polytechnic University (SPbPU)

Email: shirokova.vs@edu.spbstu.ru
ORCID iD: 0000-0003-2075-1074
SPIN-code: 7742-3677

M. V. Petrochenko

Peter the Great St. Petersburg Polytechnic University (SPbPU)

Email: petrochenko_mv@spbstu.ru
ORCID iD: 0000-0002-4865-5319
SPIN-code: 6869-0011

E. M. Melekhin

Peter the Great St. Petersburg Polytechnic University (SPbPU)

Email: melehin_em@spbstu.ru
ORCID iD: 0000-0002-6637-3059
SPIN-code: 7565-1881

References

  1. Dahake Prof.H., Hasan Sheikh S.H.A. BIM Data Analysis and Visualization Workflow // International Journal for Research in Applied Science and Engineering Technology. 2023. Vol. 11. Issue 5. Pp. 2806–2810. doi: 10.22214/ijraset.2023.52159
  2. Correa F. Is BIM big enough to take advantage of big data analytics? // Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). 2015. doi: 10.22260/isarc2015/0019
  3. García V.V., Cos-Gayón F.L., Palmero L.I. Optimization of facility management throught the implementation of BIM in existing buildings // Вестник Пермского национального исследовательского политехнического университета. Прикладная экология. Урбанистика. 2020. № 1 (37). С. 43–56. doi: 10.15593/2409-5125/2020.01.04. EDN UVMSHE.
  4. Salzano A., Parisi C.M., Acampa G., Nico­lella M. Existing Assets Maintenance Management: Optimizing Maintenance Procedures and Costs through BIM Tools // Automation in Construction. 2023. Vol. 149. P. 104788. doi: 10.1016/j.autcon.2023.104788
  5. Топорова С.Ю. Основные принципы организации работы и управления данными с учетом использования BIM-технологий // Студенчество России: век XXI : мат. VIII Всеросс. мол. науч.-практ. конф. 2022. С. 303–312. EDN CUSUDC.
  6. Hu Y., Li J., Han X., Yuan J. Development Based on Unity3D Virtual Campus Roaming System // E3S Web of Conferences. 2018. Vol. 53. P. 03047. doi: 10.1051/e3sconf/20185303047
  7. Su T., Li H., An Y. A BIM and machine learning integration framework for automated property valua­tion // Journal of Building Engineering. 2021. Vol. 44. P. 102636. doi: 10.1016/j.jobe.2021.102636
  8. Амелин П.Б., Амелина А.В. Возможность использования BIM при проведении экспертизы // Неделя науки СПбПУ : мат. науч. конф. с междунар. участием. 2019. С. 175–177. EDN RVUDVR.
  9. Makisha E. Classification of Types of Verification for Building Information Models // 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). 2019. doi: 10.1109/FarEastCon.2019.8934092
  10. Семенов В.А., Аришин С.В., Тарлапан О.А. Верификация и валидация информационных моделей на основе стандарта IFC в сложных проектах // BIM-моделирование в задачах строительства и архитектуры : мат. VI Междунар. науч.-практ. конф. 2023. С. 187–195. doi: 10.23968/BIMAC.2023.026. EDN ZWDYOQ.
  11. Yin M., Tang L., Webster C., Xu S., Li X., Ying H. An ontology-aided, natural language-based approach for multi-constraint BIM model querying // Journal of Building Engineering. 2023. Vol. 76. P. 107066. doi: 10.1016/j.jobe.2023.107066
  12. Gomes A.M., Azevedo G., Sampaio A.Z., Lite A.S. BIM in structural project: Interoperability analyses and data management // Applied Sciences. 2023. Vol. 12. Issue 17. P. 8814. doi: 10.3390/app12178814
  13. Сулейманова Л.А., Рябчевский И.С. Управление данными BIM-модели при оценке устойчивости жизненного цикла зданий // Университетская наука. 2023. № 1 (15). С. 117–119. EDN XMJYMV.
  14. Yang T., Xu J., Nie X. Analysis of Data Exchange between BIM Design Software and Performance Analysis Software Based on Revit // Journal of Physics: Conference Series. 2022. Vol. 2185. Issue 1. P. 012070. doi: 10.1088/1742-6596/2185/1/012070
  15. Chen S., Zeng Y., Majdi A., Salameh A.A., Alkhalifah T., Alturise F. et al. Potential features of building information modelling for application of project management knowledge areas as advances modeling tools // Advances in Engineering Software. 2023. Vol. 176. P. 103372. doi: 10.1016/j.advengsoft.2022.103372
  16. Акри Е.П., Буранова С.Е. Информационные системы моделирования и их применение на этапе эксплуатации зданий и сооружений // Традиции и инновации в строительстве и архитектуре. Строительство и строительные технологии : сб. ст. 79-й Всерос. науч.-техн. конф. 2022. С. 1156–1161. EDN EMOVDL.
  17. Каллаур Г.Ю., Мякота Д.Г., Братченко С.О., Шарипов Р.А. Интеграция основных процессов управления строительными проектами в среде BIM // Современные проблемы управления проектами в инвестиционно-строительной сфере и природопользовании : мат. ХІ Междунар. науч.-практ. конф., посвящ. 25-летнему юбилею кафедры и 114-летию РЭУ им. Г.В. Плеханова. 2021. С. 207–213. EDN SOJKTI.
  18. Зотов А., Смирнов Д. Популярный информационный менеджмент в строительстве (ИМС). Часть 1. Основные принципы и концепции. М., 2023.

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).