COLLECTUS BIM TO DIGITAL TWIN TO AI FOR FACILITY & ASSET MANAGEMENT IS HERE
Existing AEC Data, Collectus BIM, & ONUMA System Digital Twin drive innovations in facility AND ASSET management, streamlining operations and future AI tech advancements.
By integrating Building Information Modeling (BIM) and digital twins with existing AEC data, indoor GIS, and AI, facility owners and operators are actively unlocking immense value. Facility owners are leveraging often underutilized current data to forge a cohesive, AI-ready infrastructure. This process not only enhances immediate operations but also strategically positions facilities for future technological advancements.
HARNESS EXPERTISE IN BIM IMPLEMENTATION
CDV Systems, Inc. and 26 Degrees Software, LLC., (26DS), leaders in Building Information Modeling (BIM) and makers of Collectus, and ONUMA, Inc., renowned for ONUMA System digital twin technology, are redefining the landscape of facility management. In the realm of BIM for facility management, it's essential 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. 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.
DIGITAL TWIN FOR EXISTING FACILITY PORTFOLIO
Facility owners can employ ONUMA System to amalgamate various existing siloed data formats into a comprehensive digital twin, bypassing the complexity, time, and cost of repurposing existing facility data into new BIMs. ONUMA’s integration transforms map and asset data into actionable insights, propelling smarter decision-making and operational efficiency for space & asset management, CMMS & IWMS, and indoor GIS using a map on a hand-held device.
DIGITAL TWIN FOR NEW PROJECTS WITHIN HOURS OF OCCUPAncy
For new construction projects, integrating Collectus BIM with ONUMA System enables the creation of a complete digital twin within hours of project handover. This approach establishes the necessary contractual framework for AEC BIM consultants to deliver comprehensive, data-rich BIM outputs. These deliverables incorporate crucial information for managing space, assets, operations, and maintenance effectively.
Through detailed case studies, CDV and ONUMA demonstrate how the strategic creation of data-rich Collectus BIMs by AEC consultants can seamlessly integrate with ONUMA System’s digital twin platform. The Collectus BIM data is swiftly harvested into ONUMA System’s digital twin, creating a detailed inventory of rooms, assets, and their corresponding data, which is readily available within hours of the building's occupancy. Facility owners can effectively harvest the necessary data from BIMs, ensuring that the models serve as a robust tool for enhancing facility management processes, bridging the gap between construction and operational phases seamlessly.
UNLEASH FACILITY AI
Once established, the digital twin leverages AI to enhance data utilization, enabling the generation of a wide array of reports through its secure, open data architecture. Additionally, the ONUMA System boosts interoperability with other applications via APIs, facilitating seamless integration and extended functionality. AI algorithms further analyze BIM and digital twin data to optimize maintenance schedules and proactively predict system failures before they occur.
The collaboration between Collectus BIM and ONUMA System highlights the importance of defining precise data deliverables in contracts to ensure meaningful contributions to a facility’s digital ecosystem. By establishing clear data structure and collection practices, facilities are optimized for AI analysis and more effective human decision-making. This benchmark establishes intelligent building management in an era where Collectus BIM expertise and ONUMA System’s digital twin capabilities converge to define the future of integrated facility management and AI.