Integration of Lessons Learned Knowledge in Building Information Modeling

A. H. Oti, J. H. M. Tah, F. H. Abanda
2018 Journal of construction engineering and management  
33 Lessons learned systems are vital means for integrating construction knowledge into the various 34 phases of the construction project life cycle. Many such systems are tailored towards the owner-35 organisation's specific needs and workflows to overcome challenges with information collection, 36 documentation and retrieval. Previous works have relied on the development of conventional local 37 and network/cloud-based database management systems to store and retrieve lessons gathered on 38
more » ... jects. These lessons learned systems operate independently and have not been developed to take 39 full advantage of the benefits of integration with emerging building information modelling (BIM) 40 technology. As such construction professionals are faced with the shortcomings of the lack in efficient 41 and speedy retrieval of context-focused information on lessons learned for appropriate utilization in 42 projects. To tackle this challenge, we propose the integration of lesson learned knowledge 43 management in BIM in addition to existing 2D-8D modelling of project information. The integration 44 was implemented through the embedding of non -structured query system, NoSQL (MongoDB), in a 45 BIM enabled environment to host lessons learned information linked to model items and 4D 46 modelling project tasks of the digitised model. This is beyond existing conventional text-based 47 queries and is novel. The system is implemented in .NET Frameworks and interfaced with a project 48 management BIM tool, Navisworks Manage. The demonstration with a test case of a federated model 49 from a pre-design school project suggests that lessons learned systems can become an integral part of 50 BIM environments and contribute to enhancing knowledge reuse in projects. 51 Keywords: BIM; lessons learned; NoSQL; federated model; Navisworks; project management 52 53 54 157 2016). 158
doi:10.1061/(asce)co.1943-7862.0001537 fatcat:ws5rei7cvngp5eaulznvwynxga