Digital Twin
Digital twins have become a fundamental building block for the efficient management of infrastructures throughout their lifecycle, from the design phase to operation and maintenance. These virtual models, based on real-time data and powered by various digital capabilities, enable intelligent active monitoring and assisted decision making.
The integration of information from different stakeholders into a common digital model is essential, along with the use of real-time data, in the active monitoring of the use and performance of our facilities, simulations in scenario evaluation and better decision making based on accurate data and predictive algorithms.
At IDOM, we have adopted the use of digital twins as a natural part of our activity. We leverage digital models generated through BIM (Building Information Modeling) methodology and enrich them with digital capabilities such as IoT, machine learning and virtual reality. Our goal is to bring value to our clients in the management of their assets throughout their life cycle.
From an agnostic approach, we help our clients in the integration of digital models (AutoDesk Revit, Bentley, Aveva, OpenBIM, etc.) in asset management solutions such as 'SAP Intelligence Asset Management (SAP IAM)', IBM or other third party solutions through intermediate platforms (Autodesk, Siemens, etc.).
- Asset management: We integrate various advanced asset management solutions (SAP, IBM, Autodesk integrations, etc.) and implement the use of digital twins.
- Predictive maintenance: We help our clients to adopt proactive maintenance models using IOT and machine learning to enable holistic maintenance, focusing efforts on most critical equipment and wear.
- Energy Efficiency: Implementing systems to monitor and actively manage the rational and efficient use of energy in our manufacturing facilities.
- Digital twin of the area through GIS models: Using GIS models (such as ArcGIS), we are extending the concept of digital twins to the territorial level. This facilitates urban planning, infrastructure management and decision-making in geospatial environments.
- Virtual Reality: Developing and integrating digital models that enable simulation scenarios, team training, and decision making.