Benefits and Challenges Using BIM for Operation and Maintenance

Considering the remarkable shift that the digitalisation is nowadays bringing about in the building sector, the chapter presents how data and information collected and managed during design and construction stages improve building operation and maintenance. In particular, the chapter focuses on how the great amount of dynamic data collected around assets during the operational stage is changing the way buildings are experienced and managed. The integration and sharing of information supported by collaborative environments and recent information technologies enhance the management of the built asset. Within that context, the chapter outlines benefits and challenges in adopting BIM-based processes for the operation and maintenance of buildings. Particularly, the chapter presents how an ordered and structured information management allows delivering buildings as service providers, extracting knowledge from real-time data for tracking user behaviours and designing user interactions with buildings. The results allow: (1) implementing workflows for enriching building information in the operational stage and, consequently, operating buildings with an increased value originated by information. (2) Assessing how buildings work in the operational stage, especially taking into consideration the influence of users. (3) Defining strategies for engaging different actors in building operations and informing them about the behaviours of both buildings and users. (4) Providing control strategies when unexpected behaviours (e.g., energy-hungry behaviours, unusual comfort conditions and FM-related failures) are registered. Considering the concept of Industry 4.0, also the collection, storage and fruition of data collected in real-time is considered for an improved building operation and maintenance.

[1]  Randy Deutsch,et al.  Data-Driven Design and Construction: 25 Strategies for Capturing, Analyzing and Applying Building Data , 2015 .

[2]  Qian Wang,et al.  BIM-based framework for automatic scheduling of facility maintenance work orders , 2018, Automation in Construction.

[3]  Tianzhen Hong,et al.  Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .

[4]  Ewa Lechman,et al.  Catalyzing Development through ICT Adoption: The Developing World Experience , 2016 .

[5]  Hyun-Joo Kim,et al.  Integration of ifc objects and facility management work information using Semantic Web , 2018 .

[6]  Yang Peng,et al.  A hybrid data mining approach on BIM-based building operation and maintenance , 2017 .

[7]  J. J. McArthur,et al.  Machine learning and BIM visualization for maintenance issue classification and enhanced data collection , 2018, Adv. Eng. Informatics.

[8]  Sheryl Staub-French,et al.  Developing owner information requirements for BIM-enabled project delivery and asset management , 2017 .

[9]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[10]  Tarja Häkkinen,et al.  User engaging practices for energy saving in buildings: Critical review and new enhanced procedure , 2017 .

[11]  Kirti Ruikar,et al.  BIM application to building energy performance visualisation and management: Challenges and potential , 2017 .

[12]  Tuba Kocaturk,et al.  A value-driven perspective to understand Data-driven futures in Architecture , 2017 .

[13]  Bhargav Dave,et al.  A framework for integrating BIM and IoT through open standards , 2018, Automation in Construction.

[14]  Claudio Mirarchi,et al.  Automated IFC-Based Processes in the Construction Sector: A Method for Improving the Information Flow , 2017 .

[15]  Nan Li,et al.  Application Areas and Data Requirements for BIM-Enabled Facilities Management , 2012 .

[16]  Pardis Pishdad-Bozorgi,et al.  Planning and developing facility management-enabled building information model (FM-enabled BIM) , 2018 .