An Automated IoT Visualization BIM Platform for Decision Support in Facilities Management
Source abstract
Abstract
Building information modeling (BIM) is the digital representation of physical and functional characteristics (such as geometry, spatial relationship, and geographic information) of a facility to support decisions during its life cycle. BIM has been extended beyond 3D geometrical representations in recent years, and now includes time as a fourth dimension and cost as a fifth dimension, as well as such other applications as virtual reality and augmented reality. The Internet of Things (IoT) has been increasingly applied in various products (smart homes, wearables) to enhance work productivity, living comfort, and entertainment. However, research addressing the integration of these two technologies (BIM and IoT) is still very limited, and has focused exclusively on the automatic transmission of sensor information to BIM models. This paper describes an attempt to represent and visualize sensor data in BIM with multiple perspectives in order to support complex decisions requiring interdisciplinary information. The study uses a university campus as an example and includes several scenarios, such as an auditorium with a dispersed audience and energy-saving options for rooms with different functions (mechanical/electrical equipment, classrooms, and laboratory). This paper also discusses the design of a common platform allowing communication among sensors with different protocols (Arduino, Raspberry Pi), the use of Dynamo to accept sensor data as input and automatically redraw visualized information in BIM, and how visualization may help in making energy-saving management decisions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: BIM and Construction Integration · 3D Surveying and Cultural Heritage · Augmented Reality Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan
References (29)
Show source-provided references
1. Visualization in scientific computing10.1145/43965.43966 ↗
2. Schroeder, W.J., Lorensen, B., and Martin, K. (2004). The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, Kitware.10.1016/B978-012387582-2/50003-4 ↗
3. Munzner, T. (2008). Process and pitfalls in writing information visualization research papers. Information Visualization, Springer.10.1007/978-3-540-70956-5_6 ↗
4. Internet of Things (IoT): A vision, architectural elements, and future directions10.1016/j.future.2013.01.010 ↗
5. Eastman, C.M. (1999). Building Product Models: Computer Environments, Supporting Design and Construction, CRC Press.
6. Azhar, S., Hein, M., and Sketo, B. (2008, January 2–5). Building information modeling: Benefits, risks and challenges. Proceedings of the 44th Associated Schools of Construction National Conference, Auburn, AL, USA.
7. Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry10.1061/(ASCE)LM.1943-5630.0000127 ↗
8. Eastman, C.M., Eastman, C., Teicholz, P., and Sacks, R. (2011). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, John Wiley & Sons.
9. Building information modeling (BIM): Now and beyond10.5130/AJCEB.v12i4.3032 ↗
10. (2013, March 11). IFC2x4, Industry Foundation Classes Release 4 (IFC4). Available online: http://www.buildingsmart-tech.org/specifications/ifc-releases/ifc2x4-release/summary.
11. (2009, October 30). IAI. _2007_. IFC/ifcXML specifications. Available online: http://www.iai-international.org.
12. Semantics of model views for information exchanges using the industry foundation class schema10.1016/j.aei.2012.01.005 ↗
13. Automated building information modeling for fault detection and diagnostics in commercial HVAC systems10.1108/F-06-2014-0050 ↗
14. Che, L., Gao, Z., Chen, D., and Nguyen, T.H. (July, January 30). Using building information modeling for measuring the efficiency of building energy performance. Proceedings of the International Conference on Computing in Civil and Building Engineering (ICCCBE), Nottingham, UK.
15. Recommendation on modeling of solar energy incident on a building envelope10.1016/j.renene.2008.04.005 ↗
16. Integration of Environmental Sensors with BIM: Case studies using Arduino, Dynamo, and the Revit API10.3989/ic.13.151 ↗
17. Janssen, P., Loh, P., Raonic, A., and Schnabel, M.A. (2017, January 5–8). Establishing parametric relationships for design objects through tangible interaction. Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia(CAADRIA), Protocols, Flows and Glitches, Suzhou, China.
18. BPOpt: A framework for BIM-based performance optimization10.1016/j.enbuild.2015.09.011 ↗
19. Structural performance monitoring using a dynamic data-driven BIM environment10.1061/(ASCE)CP.1943-5487.0000749 ↗
20. Lather, J.I., Amor, R., and Messner, J.I. (2017, January 25–27). A Case Study in Data Visualization for Linked Building Information Model and Building Management System Data. Proceedings of the ASCE International Workshop on Computing in Civil Engineering 2017, Seattle, WA, USA.10.1061/9780784480823.028 ↗
21. Mccaffrey, R., Coakley, D., Keane, M., and Melvin, H. (2015, January 16–17). Development of a Web-based BMS Data Visualization Platform Using Building Information Models. Proceedings of the CIBSE 2015 Technical Symposium, London, UK.
22. (2012, December 20). Dynamo BIM. Available online: http://dynamobim.org/.
23. Huang, S.-C. (2016). A BIM Workflow for Responsive Energy-Efficient Façade. [Master’s Thesis, National Cheng Kung University].
24. (2017, October 11). ARDUINO MEGA 2560 REV3. Available online: https://store.arduino.cc/usa/arduino-mega-2560-rev3.
25. ISO-7730 (2005). Ergonomics of the Thermal Environment—Analytical Determination and Interpretation of Thermal Comfort Using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria, ISO. [3rd ed.].
26. Fanger, P.O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering, McGraw-Hill Book Company.
27. Lin, Y.-P. (2016). The Design and Implement of the Automatic Energy Saving System Based on Environmental Comfort. [Master’s Thesis, National Chin-Yi University of Technology].
28. Cheng, C.-M., Ma, H.-X., and Hsu, Y.-L. (2005). The pilot test of the environmental monitoring system of the Palace Museum in the framed studio. Gerontechnology Research in Yuan Ze University, Yuan Ze University.
29. International Well Building Institute (IWBI) (2016, May 06). WELL Building Standard. Available online: http://standard.wellcertified.com/air/air-quality-standards.