AI-Driven Solutions for Enhanced Safety and Productivity in Building Prefabrication
Start Date: Not Started
Duration: 5 Years
This research aims to automate the safety and standard documentation generation and interpretation process, pre-construction hazard assessments, and information management for material planning. Technologies employed include artificial intelligence, such as machine learning, data analytics, deep learning, and generative AI, as well as 3D scanning. This research is expected to improve work front safety, production efficiency, and material management, thereby mitigating risk and decreasing project delays, cost escalations, and management burdens.
research team
funding sources
NSERC, Mitacs
industry partners
ACQBuilt, Essence, Landmark Homes, PCL
cic research focus areas
Artificial IntelligenceAutomation and TechnologyDecision Support SystemsDesign and PlanningHealth and SafetyOff-site Construction and ModularizationProductivity and PerformanceSimulation ModelingSustainability and the EnvironmentSystems and Data IntegrationVisualization/BIM
research keywords
3D ScanningArtificial IntelligenceChatbotGenerative AIMachine LearningPrefabricationSafety DocumentationStandard Documentation
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