The quality of information flow management has a remarkable effect on the entire life cycle of buildings. Manual retrieval of technical specifications and features of building components and their performance assessment leads to increased cost and time and efficiency reduction, especially during the facility management (FM) stage. The introduction of building information modeling (BIM) in the construction industry can provide a valuable means of improving the organization and exchange of information. BIM tools integrate multiple levels of information within a single digital model of a building. Nevertheless, the support given by BIM to FM is far from being fully effective. Technicians can benefit from real-time communication with the data repository whenever the need for gathering contextual information and/or updating any data in the digital model arises. The framework proposed in this study aims to develop a system that supports on-site operations. Information requirements have been determined from the analyses of procedures that are usually implemented in the building life cycle. These studies set the standard for the development of a digital model of a building, which will be shared among various actors in charge of FM and accessed via a cloud platform. Moreover, mixed reality is proposed to support specific information that is relevant to geometric features and procedures to be followed by operators. This article presents three use-cases supported by the proposed framework. In addition, this research article describes the first proof of concept regarding real-time support for FM.
. [J]. Frontiers of Engineering Management, 2020, 7(1): 131-141.
Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI. Framework based on building information modeling, mixed reality, and a cloud platform to support information flow in facility management. Front. Eng, 2020, 7(1): 131-141.
A Adan, X Xiong, B Akinci, D Huber (2011). Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction, 31: 325–337
2
K E Ammari, A Hammad (2014). Collaborative BIM-based markerless mixed reality framework for facilities maintenance. In: International Conference on Computing in Civil and Building Engineering, 657–664
3
B Becerik-Gerber, F Jazizadeh, N Li, G Calis (2012a). Application areas and data requirements for BIM-enabled facilities management. Journal of Construction Engineering and Management, 138(3): 431–442 https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433
4
B Becerik-Gerber, L Klein, N Li (2012b). Image-based verification of as-built documentation of operational buildings. Automation in Construction, 21(1): 161–171
5
R Becker, V Falk, S Hoenen, S Loges, S Stumm, J Blankenbach, S Brell-Cokcan, L Hildebrandt, D Vallée (2018). BIM-towards the entire life cycle. International Journal of Sustainable Development and Planning, 13(1): 84–95 https://doi.org/10.2495/SDP-V13-N1-84-95
6
T Bloch, R Sacks (2018). Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models. Automation in Construction, 91: 256–272 https://doi.org/10.1016/j.autcon.2018.03.018
7
I Brilakis, M Lourakis, R Sacks, S Savarese, S Christodoulou, J Teizer, A Makhmalbaf (2010). Toward automated generation of parametric BIMs based on hybrid video and laser scanning data. Advanced Engineering Informatics, 24(4): 456–465 https://doi.org/10.1016/j.aei.2010.06.006
8
J Chalhoub, S K Ayer (2018). Using mixed reality for electrical construction design communication. Automation in Construction, 86: 1–10 https://doi.org/10.1016/j.autcon.2017.10.028
9
C Y Chang, M D Tsai (2013). Knowledge-based navigation system for building health diagnosis. Advanced Engineering Informatics, 27(2): 246–260 https://doi.org/10.1016/j.aei.2012.12.003
10
K Chen, W Lu (2019). Bridging BIM and building (BBB) for information management in construction: The underlying mechanism and implementation. Engineering, Construction, and Architectural Management, 26(7): 1518–1532 https://doi.org/10.1108/ECAM-05-2018-0206
11
T H Chuang, B C Lee, I C Wu (2011). Applying cloud computing technology to BIM visualization and manipulation. In: Proceedings of the 28th International Symposium on Automation and Robotics in Construction, 201(1): 144–149
12
R L Daft, R H Lengel (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5): 554–571 https://doi.org/10.1287/mnsc.32.5.554
13
M Das, J C P Cheng, S S Kumar (2014). BIMCloud: A distributed cloud-based social BIM framework for project collaboration. In: 2014 International Conference on Computing in Civil and Building Engineering. Orlando, Florida, USA: 41–48
14
L Ding, Y Zhou, B Akinci (2014). Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD. Automation in Construction, 46: 82–93 https://doi.org/10.1016/j.autcon.2014.04.009
15
J Du, Y M Shi, Z B Zou, D Zhao (2018). CoVR: Cloud-based multiuser virtual reality headset system for project communication of remote users. Journal of Construction Engineering and Management, 144(2): 04017109
16
E W East, W Brodt (2007). BIM for construction handover. Journal of Building Information Modelling, 28–35
E Ergen, B Akinci, R Sacks (2007). Life cycle data management of engineered-to-order components using radio frequency identification. Advanced Engineering Informatics, 21(4): 356–366 https://doi.org/10.1016/j.aei.2006.09.004
19
M P Gallaher, A C O’Connor, J L Dettbarn, L T Gilday (2004). Cost analysis of inadequate interoperability in the US capital facilities industry (NIST GCR 04–867). US Department of Commerce, National Institute of Standards and Technology
20
H Hamledari, E Rezazadeh Azar, B McCabe (2018). IFC-based development of as-built and as-is BIMs using construction and facility inspection data: Site-to-BIM data transfer automation. Journal of Computing in Civil Engineering, 32(2): 04017075
21
K F Ibrahim, H Abanda, C Vidalakis, G Wood (2017). BIM big data system architecture for asset management: A conceptual framework. In: Proceedings of the Joint Conference on Computing in Construction (JC3), 289–296
22
R A Keady (2013). Financial impact and analysis of equipment inventories. Facilities Engineering Journal, 27(5): 13–17
23
G Kelly, M Serginson, S Lockley, N Dawood, M Kassem (2013). BIM for facility management: A review and a case study investigating the value and challenges. In: Dawood N, Kassem M, eds. 13th International Conference on Construction Applications of Virtual Reality. London, UK: 191–199
24
L Klein, N Li, B Becerik-Gerber (2012). Image-based verification of as-built documentation of operational buildings. Automation in Construction, 21: 161–171 https://doi.org/10.1016/j.autcon.2011.05.023
25
A Krukowski, D Arsenijevic (2010). RFID-based positioning for building management systems. In: Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ, USA: IEEE, 3569–3572
26
S K Lee, H K An, J H Yu (2012). An extension of the technology acceptance model for BIM-based FM. In: Construction Research Congress 2012: Construction Challenges in a Flat World, 602–611
27
Q Lu, S Lee, L Chen (2018). Image-driven fuzzy-based system to construct as-is IFC BIM objects. Automation in Construction, 92: 68–87 https://doi.org/10.1016/j.autcon.2018.03.034
28
L Ma, R Sacks (2016). A cloud-based BIM platform for information collaboration. In: Proceedings of the 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016), 581–589
29
T Mill, A Alt, R Liias (2013). Combined 3D building surveying techniques–terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes. Journal of Civil Engineering and Management, 19(sup1): S23–S32
30
M Miller (2008). Cloud Computing: Web-Based Applications That Change the Way You Work and Collaborate Online. New York: Que Publishing
S Oesau, F Lafarge, P Alliez (2014). Indoor scene reconstruction using feature sensitive primitive extraction and graph-cut. ISPRS Journal of Photogrammetry and Remote Sensing, 90: 68–82 https://doi.org/10.1016/j.isprsjprs.2014.02.004
33
C S Park, D Y Lee, O S Kwon, X Wang (2013). A frame-work for proactive construction defect management using BIM, augmented reality and ontology-based data collection template. Automation in Construction, 33: 61–71 https://doi.org/10.1016/j.autcon.2012.09.010
34
T A M Phan, J K Nurminen, M D Francesco (2014). Cloud databases for internet-of-things data. In: 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom). IEEE, 117–124
35
P Pishdad-Bozorgi, X Gao, C Eastman, A P Self (2018). Planning and developing facility management-enabled building information model (FM-enabled BIM). Automation in Construction, 87: 22–38 https://doi.org/10.1016/j.autcon.2017.12.004
36
M Previtali, L Barazzetti, R Brumana, M Scaioni (2014). Towards automatic indoor reconstruction of cluttered building rooms from point clouds. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(5): 281–288
37
B Quintana, S A Prieto, A Adán, F Bosché (2017). Scan-to-BIM for small building components. In: Proceedings of the Joint Conference on Computing in Construction (JC3). Heraklion, Greece: 4–7
38
A Redmond, A Hore, M Alshawi, R West (2012). Exploring how information exchanges can be enhanced through Cloud BIM. Automation in Construction, 24: 175–183 https://doi.org/10.1016/j.autcon.2012.02.003
39
Royal Institution of Chartered Surveyors (RICS) (2009). Building Maintenance: Strategy, Planning and Procurement. London: RICS Books
40
R J Scherer, P Katranuschkov (2017). BIMification: How to create BIM for retrofitting. In: Proceedings of the Joint Conference on Computing in Construction (JC3). Heraklion, Greece
41
H Silva, R Resende, M Breternitz (2018). Mixed reality application to support infrastructure maintenance. In: International Young Engineers Forum (YEF-ECE). Costa da Caparica: IEEE, 50–54
42
P Tang, D Huber, B Akinci, R Lipman, A Lytle (2010). Automatic reconstruction of as-built building information models from laser scanned point clouds: A review of related techniques. Automation in Construction, 19(7): 829–843 https://doi.org/10.1016/j.autcon.2010.06.007
43
R Volk, J Stengel, F Schultmann (2014). Building Information Modelling (BIM) for existing buildings—Literature review and future needs. Automation in Construction, 38: 109–127 https://doi.org/10.1016/j.autcon.2013.10.023
Y Wand, R Y Wang (1996). Anchoring data quality dimensions in ontological foundations. Communications of the ACM, 39(11): 86–95 https://doi.org/10.1145/240455.240479
46
X Wang, P S Dunston, M Skibniewski (2004). Mixed reality technology applications in construction equipment operator training. In: 21st International Symposium on Automation and Robotics in Construction (ISARC 2004), 21–25
47
F Xue, W Lu, K Chen (2018). Automatic generation of semantically rich as-built building information models using 2D images: A derivative-free optimization approach. Computer-Aided Civil and Infrastructure Engineering, 33(11): 926–942 https://doi.org/10.1111/mice.12378
48
X Yang, S Ergan (2017). BIM for FM: Information requirements to support HVAC-related corrective maintenance. Journal of Architectural Engineering, 23(4): 04017023 https://doi.org/10.1061/(ASCE)AE.1943-5568.0000272
49
J P Zhang, Q Liu, F Q Yu, Z Z Hu (2014). A framework of cloud-computing-based BIM service for building life cycle. In: International Conference on Computing in Civil and Building Engineering. Orlando, Florida, USA: 1514–1521
