Federated Platform for Construction Simulation
Start Date: August 2022
Duration: 5 Years
The proposed research aims to build upon the expertise of the research team and novel discoveries in data analytics, fuzzy systems, lean construction, and simulation science to advance data-driven decision-making in construction. This research centers around the development of a smart object model that will act as a “data switchboard,” retrieving data from an organization’s multiple storage sites and distributing this information to various decision-support tools, as required. This approach was designed to maintain the integrity and utility of underlying systems, thereby respecting the desires of organizations to maintain and rely on existing ERP systems, BIM-driven tools, and in-house database solutions.
Moreover, the object model will be designed in a standardized format, allowing organizations to “plug-in” a variety of existing, commercially-available, and/or newly-developed decision-support tools without needing to customize each tool to suit specific data structures. Discoveries will be packaged and deployed as a decision-support tool-kit that will enable the safe, reliable, and timely mining of meaningful project information for the construction industry
research team
funding sources
CIC, NSERC
industry partners
Capital Power Corp, Construction Owners Assoc. of Alberta, PCL Constructors Inc., Graham Industrial Services LP., Carry Steel, Ledcor
cic research focus areas
research keywords
AnalyticsBIMData MiningDecision Support SystemsFuzzy LogicLean ConstructionReal-time updatingSensing and MonitoringSimulation
Get Social