АннотацияОб авторахСписок литературы
При назначении технических характеристик здания необходимо учитывать все этапы его жизненного цикла. Этот процесс сопряжен с необходимостью определения ключевых показателей эффективности объекта (KPI), особенно для стадии его эксплуатации. Наиболее эффективные подходы определения данных показателей связаны с применением технологий информационного моделирования зданий и виртуальной реальности. В работе проанализированы возможности совместного использования данных технологий на стадии эксплуатации здания. Предложены методы повышения ключевых показателей эффективности объекта, а также подход к динамическому анализу характеристик здания непосредственно его жителями в ходе его эксплуатации.
А.Б. МОХАММЕД, преподаватель (Адрес электронной почты защищен от спам-ботов. Для просмотра адреса в вашем браузере должен быть включен Javascript.)
Университет Фаюм, Египет (http://www.fayoum.edu.eg/english/)
1. Lavy S., Garcia J.A., Dixit M.K. Establishment of KPIs for facility performance measurement: Review of literature. Facilities. 2010. Vol. 28, pp. 440–464. doi: 10.1108/02632771011057189
2. Kylili A., Fokaides P.A., Jimenez P.A. Lopez. Key Performance Indicators (KPIs) approach in buildings renovation for the sustainability of the built environment: A review. Renewable and Sustainable Energy Reviews. 2016. 56, pp. 906–915. Doi: 10.1016/j.rser.2015.11.096
3. Hooper P., Knuiman M., Foster S., Giles-Corti B. The building blocks of a “Liveable Neighbourhood”: Identifying the key performance indicators for walking of an operational planning policy in Perth, Western Australia. Health Place. 2015. Vol. 36, pp. 173–183. Doi: 10.1016/j.healthplace.2015.10.005
4. Grey F., Fruchter R. Modelling the Dynamic interaction between building performance and occupant well-being. Conference: ASCE International Workshop on Computing in Civil Engineering. 2017. Vol. 3, pp. 326–334. doi: 10.1061/9780784407943
5. Gheisari M., Goodman S., Schmidt J., Williams G., Irizarry J. Exploring BIM and mobile augmented reality use in facilities management. Conference: Construction Research Congress. 2014, pp. 1941–1950. Doi: 10.1061/9780784413517.198
6. Li Y., O’Donnell J., García-Castro R., Vega-Sánchez S. Identifying stakeholders and key performance indicators for district and building energy performance analysis. Energy and Buildings. 2017. Vol. 155, pp. 1–15. http://dx.doi.org/10.1016/j.enbuild.2017.09.003
7. González-Gil A., Palacin R., Batty P. Optimal energy management of urban rail systems: Key performance indicators. Energy Conversion and Management. 2015. Vol. 90, pp. 282–291. doi: 10.1016/j.enconman.2014.11.035
8. Lavy S. A Literature review on measuring building performance by using key performance indicators. Architectural Engineering Conference (AEI). 2011, pp. 369–377. https://doi.org/10.1061/41168(399)48.
9. Aziz N.D., Nawawi A.H., Ariff N.R.M. Building information modelling (BIM) in facilities management: opportunities to be considered by facility managers. Procedia – Social and Behavioral Sciences. 2016. Vol. 234, pp. 353–362. doi: 10.1016/j.sbspro.2016.10.252.
10. AL Waer H., Clements-Croome D.J. Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment. 2010. Vol. 45. Iss. 4, pp. 799–807. doi: 10.1016/j.buildenv.2009.08.019
11. Meier H., Lagemann H., Morlock F., Rathmann C. Key performance indicators for assessing the planning and delivery of industrial services. Procedia CIRP. 2013. Vol. 11, pp. 99–104. doi: 10.1016/j.procir.2013.07.056
12. Parmenter D. Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons. 2015. 444 p.
13. Scheer A.W., Jost W., He H., Kronz A. Corporate performance management: ARIS in practice. 2006. doi: 10.1007/3-540-30787-7
14. Giuda G.M. Di, Villa V., Piantanida P. BIM and energy efficient retrofitting in school buildings. Energy Procedia. 2015. Vol. 78, pp. 1045–1050. doi: 10.1016/j.egypro.2015.11.066.
15. He Q., Wang G., Luo L., Shi Q., Xie J., Meng X. Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International Journal of Project Management. 2017. Vol. 35, pp. 670–685. doi: 10.1016/j.ijproman.2016.08.001.
16. Abanda F.H., Tah J.H.M., Cheung F.K.T. BIM in off-site manufacturing for buildings. 2017. Journal of Building Engineering, pp. 89–102. doi: 10.1016/j.jobe.2017.10.002.
17. Smits W., van Buiten M., Hartmann T. Yield-to-BIM: impacts of BIM maturity on project performance. Building research and information. 2017. Vol. 45, pp. 336–346. doi: 10.1080/09613218.2016.1190579
18. Jung Y., Joo M. Building information modelling (BIM) framework for practical implementation. Automation in Construction. 2011. Vol. 20. Iss. 2, pp. 126–133. doi: 10.1016/j.autcon.2010.09.010.
19. Golabchi A., Akula M., Kamat V.R. Leveraging BIM For Automated Fault Detection In Operational. Conference: 30th International Symposium on Automation and Robotics in Construction and Mining; Held in conjunction with the 23rd World Mining Congress. 2013. 48109, pp. 1–11. Doi: 10.22260/ISARC2013/0020
20. McArthur J.J. A building information management (BIM) framework and supporting case study for existing building operations, maintenance and sustainability. Procedia Engineering. 2015. Vol. 118, pp. 1104–1111. Doi: 10.1016/j.proeng.2015.08.450
21. Paes D., Arantes E., Irizarry J. Immersive environment for improving the understanding of architectural 3D models: Comparing user spatial perception between immersive and traditional virtual reality systems. Automation in Construction. 2017. Vol. 84, pp. 292–303. doi: 10.1016/j.autcon.2017.09.016
22. Brooks A.L. Technologies of Inclusive Well-Being. 2014. doi: 10.1007/978-3-642-45432-5
23. Fernando T.P., Wu K.-C., Bassanino M.N. Designing a novel virtual collaborative environment to support collaboration in design review meetings. Journal of Information Technology in Construction. 2013. Vol. 18, 372–396.
24. Moreno A.M. Contribución de los huertos urbanos a la salud. Habitat y Sociedad. 2013. Vol. 6, pp. 85–103. https://idus.us.es/xmlui/handle/11441/48353
25. Faas D., Bao Q., Frey D.D., Yang M.C. The influence of immersion and presence in early stage engineering designing and building. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIE-2013-021). 2014, pp. 139–151. doi: 10.1017/S0890060414000055
26. Berg L.P., Vance J.M. An Industry case study: investigating early design decision making in virtual reality. Journal of Computing and Information Science in Engineering (JCISE). 2016. Vol. 17. 011001. https://doi.org/10.1115/1.4034267
27. Won J., Lee G. How to tell if a BIM project is successful: A goal-driven approach. Automation in Construction. Vol. 69, pp. 34–43. Doi: 10.1016/j.autcon.2016.05.022
28. Migilinskas D., Popov V., Juocevicius V., Ustinovichius L. The benefits, obstacles and problems of practical bim implementation. Procedia Engineering. 2013. Vol. 57, pp. 767–774. doi: 10.1016/j.proeng.2013.04.097
2. Kylili A., Fokaides P.A., Jimenez P.A. Lopez. Key Performance Indicators (KPIs) approach in buildings renovation for the sustainability of the built environment: A review. Renewable and Sustainable Energy Reviews. 2016. 56, pp. 906–915. Doi: 10.1016/j.rser.2015.11.096
3. Hooper P., Knuiman M., Foster S., Giles-Corti B. The building blocks of a “Liveable Neighbourhood”: Identifying the key performance indicators for walking of an operational planning policy in Perth, Western Australia. Health Place. 2015. Vol. 36, pp. 173–183. Doi: 10.1016/j.healthplace.2015.10.005
4. Grey F., Fruchter R. Modelling the Dynamic interaction between building performance and occupant well-being. Conference: ASCE International Workshop on Computing in Civil Engineering. 2017. Vol. 3, pp. 326–334. doi: 10.1061/9780784407943
5. Gheisari M., Goodman S., Schmidt J., Williams G., Irizarry J. Exploring BIM and mobile augmented reality use in facilities management. Conference: Construction Research Congress. 2014, pp. 1941–1950. Doi: 10.1061/9780784413517.198
6. Li Y., O’Donnell J., García-Castro R., Vega-Sánchez S. Identifying stakeholders and key performance indicators for district and building energy performance analysis. Energy and Buildings. 2017. Vol. 155, pp. 1–15. http://dx.doi.org/10.1016/j.enbuild.2017.09.003
7. González-Gil A., Palacin R., Batty P. Optimal energy management of urban rail systems: Key performance indicators. Energy Conversion and Management. 2015. Vol. 90, pp. 282–291. doi: 10.1016/j.enconman.2014.11.035
8. Lavy S. A Literature review on measuring building performance by using key performance indicators. Architectural Engineering Conference (AEI). 2011, pp. 369–377. https://doi.org/10.1061/41168(399)48.
9. Aziz N.D., Nawawi A.H., Ariff N.R.M. Building information modelling (BIM) in facilities management: opportunities to be considered by facility managers. Procedia – Social and Behavioral Sciences. 2016. Vol. 234, pp. 353–362. doi: 10.1016/j.sbspro.2016.10.252.
10. AL Waer H., Clements-Croome D.J. Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment. 2010. Vol. 45. Iss. 4, pp. 799–807. doi: 10.1016/j.buildenv.2009.08.019
11. Meier H., Lagemann H., Morlock F., Rathmann C. Key performance indicators for assessing the planning and delivery of industrial services. Procedia CIRP. 2013. Vol. 11, pp. 99–104. doi: 10.1016/j.procir.2013.07.056
12. Parmenter D. Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons. 2015. 444 p.
13. Scheer A.W., Jost W., He H., Kronz A. Corporate performance management: ARIS in practice. 2006. doi: 10.1007/3-540-30787-7
14. Giuda G.M. Di, Villa V., Piantanida P. BIM and energy efficient retrofitting in school buildings. Energy Procedia. 2015. Vol. 78, pp. 1045–1050. doi: 10.1016/j.egypro.2015.11.066.
15. He Q., Wang G., Luo L., Shi Q., Xie J., Meng X. Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International Journal of Project Management. 2017. Vol. 35, pp. 670–685. doi: 10.1016/j.ijproman.2016.08.001.
16. Abanda F.H., Tah J.H.M., Cheung F.K.T. BIM in off-site manufacturing for buildings. 2017. Journal of Building Engineering, pp. 89–102. doi: 10.1016/j.jobe.2017.10.002.
17. Smits W., van Buiten M., Hartmann T. Yield-to-BIM: impacts of BIM maturity on project performance. Building research and information. 2017. Vol. 45, pp. 336–346. doi: 10.1080/09613218.2016.1190579
18. Jung Y., Joo M. Building information modelling (BIM) framework for practical implementation. Automation in Construction. 2011. Vol. 20. Iss. 2, pp. 126–133. doi: 10.1016/j.autcon.2010.09.010.
19. Golabchi A., Akula M., Kamat V.R. Leveraging BIM For Automated Fault Detection In Operational. Conference: 30th International Symposium on Automation and Robotics in Construction and Mining; Held in conjunction with the 23rd World Mining Congress. 2013. 48109, pp. 1–11. Doi: 10.22260/ISARC2013/0020
20. McArthur J.J. A building information management (BIM) framework and supporting case study for existing building operations, maintenance and sustainability. Procedia Engineering. 2015. Vol. 118, pp. 1104–1111. Doi: 10.1016/j.proeng.2015.08.450
21. Paes D., Arantes E., Irizarry J. Immersive environment for improving the understanding of architectural 3D models: Comparing user spatial perception between immersive and traditional virtual reality systems. Automation in Construction. 2017. Vol. 84, pp. 292–303. doi: 10.1016/j.autcon.2017.09.016
22. Brooks A.L. Technologies of Inclusive Well-Being. 2014. doi: 10.1007/978-3-642-45432-5
23. Fernando T.P., Wu K.-C., Bassanino M.N. Designing a novel virtual collaborative environment to support collaboration in design review meetings. Journal of Information Technology in Construction. 2013. Vol. 18, 372–396.
24. Moreno A.M. Contribución de los huertos urbanos a la salud. Habitat y Sociedad. 2013. Vol. 6, pp. 85–103. https://idus.us.es/xmlui/handle/11441/48353
25. Faas D., Bao Q., Frey D.D., Yang M.C. The influence of immersion and presence in early stage engineering designing and building. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIE-2013-021). 2014, pp. 139–151. doi: 10.1017/S0890060414000055
26. Berg L.P., Vance J.M. An Industry case study: investigating early design decision making in virtual reality. Journal of Computing and Information Science in Engineering (JCISE). 2016. Vol. 17. 011001. https://doi.org/10.1115/1.4034267
27. Won J., Lee G. How to tell if a BIM project is successful: A goal-driven approach. Automation in Construction. Vol. 69, pp. 34–43. Doi: 10.1016/j.autcon.2016.05.022
28. Migilinskas D., Popov V., Juocevicius V., Ustinovichius L. The benefits, obstacles and problems of practical bim implementation. Procedia Engineering. 2013. Vol. 57, pp. 767–774. doi: 10.1016/j.proeng.2013.04.097
Для цитирования: Мохаммед А.Б. Интеграция технологий информационного моделирования зданий (BIM) и виртуальной реальности для повышения эффективности эксплуатации объектов строительства // Жилищное строительство. 2020. № 1–2. С. 56–64. DOI: https://doi.org/10.31659/0044-4472-2020-1-2-56-64