Through the seamless integration of Building Information Modeling (BIM) and digital twins with established AEC data, indoor GIS, and AI, facility owners and operators are harnessing substantial value. By tapping into existing data resources, they’re constructing a unified, AI-ready infrastructure, maximizing operational efficiency. This approach not only optimizes current processes but also strategically prepares facilities for forthcoming technological innovations.
Tapping Into BIM Expertise for Implementation
When it comes to BIM for facility management, it’s important to delineate the roles and leverage expertise efficiently. Facility owners, while experts in managing their properties, should not delve into creating and managing BIM models themselves, experts recommend. Instead, they should direct their AEC (Architectural, Engineering, and Construction) consultants, the true BIM professionals, to craft these intricate models as data-rich BIMs to be harvested for operations and maintenance (O+M) needs.
Two such industry leaders in BIM, CDV Systems, Inc. and 26 Degrees Software, makers of Collectus and ONUMA, Inc., renowned for its digital twin technology, are redefining the landscape of facility management. For existing facilities, the ONUMA System integrates diverse data formats into a comprehensive digital twin, improving decision-making and efficiency for space, asset management, and indoor GIS without the need to recreate facility data into new BIMs.
For new construction projects, Collectus BIM and the ONUMA System provide a complete digital twin shortly after project handover, with AEC consultants delivering comprehensive, data-rich BIM outputs. This swift integration from construction to operation is showcased through detailed case studies, demonstrating how BIM data quickly populates the digital twin, providing an immediate, detailed inventory of rooms and assets within hours of handover.
Unleashing the Power of AI in Facility Management
Furthermore, upon establishment, the digital twin harnesses AI capabilities to amplify data utilization, producing comprehensive reports and augmenting interoperability with other systems via APIs. AI algorithms refine maintenance schedules and forecast potential system failures, guaranteeing resilient facility management. This methodology not only simplifies management procedures but also cultivates more proficient decision-making through structured data and practices, setting a new standard in intelligent building management.
Learn more about the collaboration between Collectus BIM and ONUMA System and why it is a crucial element for ensuring precise data deliverables, contributing significantly to a facility’s digital ecosystem.
