Engineering digital twins

Design of a data exchange platform interfaced with existing products (GIS, CMMS, etc.)

Functional integration of existing products such as CMMS or GIS to share data and interact with the digital twin.
Guarantee the interoperability of their twins thanks to standard data exchange formats and Egis expertise in this field: Open BIM, IFC and API for example.
Help customers build their own digital twins that best meet their current and future needs and uses, by defining a scalable architecture.
Ensure the protection and integrity of their data by applying the highest standards and best practices in cybersecurity, anonymization and transparent management of data ownership and governance.

Develop solutions specific to a given use that enhance the services provided by the digital twin.
Create AI modules capable of extracting relevant data and processing it in real time
Create predictive models based on digital twin data and integrate them to optimize operations.

Create a digital representation of the environment that can be used directly by the digital twin
Integrate specific business knowledge to guide modeling according to actual user needs, i.e. “just necessary and sufficient”.
Perform reverse engineering, using data from existing sources such as DOEs.

Define BIM strategy, i.e. objectives, scope and uses
Drawing up and implementing the BIM agreement
Implementing BIM and its collaborative platform
Manage project execution using BIM and its methodology
Designing the BIM and its collaborative platform for data exploitation by a digital twin

Link “hot data” to the digital twin from sensor systems or “user-friendly” data collection tools to connect real-time environmental data with the right temporality.
Integrate and interact IOTs within the digital twin.
Ensure interoperability of real, accurate and reliable data from the field