But how is a Digital Twin created?
The starting point is the creation of a three-dimensional model of the object, in which each component is described geometrically, technically, and qualitatively.
The second step is to collect data from sensors, documents or reports from the field associated with one or more of the asset's components.
During the third phase, the data collected is analysed, and feedback is sent to the asset to improve and optimise its behaviour.
Using a Digital Twin makes it possible to implement smart asset management strategies, like establishing preventive maintenance, consumption optimisation, space occupancy control and occupant well-being improvement plans.
The concept of the Digital Twin applies to an individual component and an entire building or infrastructure, creating an integrated and interconnected system.
Exprivia makes its experience and know-how available to its customers, researching together with them the best path for deriving the most potential from the Digital Twin.
Exprivia offers solutions for using Digital Twins to the PA, Energy & Utilities, Transport and Industry markets.
At a time when terms such as smart cities, digitisation and ecological transition are at the heart of the development and investment plans of both public and private companies, Exprivia has established an offering designed to spread the use of the Digital Twin for the benefit of business processes.
The proposal meets several needs:
- First and foremost, the need to integrate the company’s set of systems, preventing the creation of information silos
- Second, the need to exploit the potential of data analysis to optimise the real asset
- Lastly, the automation of manual and time-consuming tasks to increase the time dedicated to value-added activities
The key elements of the offer are:
- Use of the BIM (Building Information Modelling) methodology. This approach makes it possible to represent an asset by following a defined workflow dedicated to the management of the entire lifecycle of an infrastructure or property
- Integration with IoT sensor systems
- Implementation of analysis, simulation and validation algorithms
Exprivia's Digital Twin offer consists of a set of services, each intended to address best the requirements of one or more phases of the asset's lifecycle.
Some of the activities proposed include:
- Integration of existing BIM solutions with company Enterprise Content Management systems to integrate the BIM flow into production processes.
- Management and use of the Digital Twin, or fuelling the asset’s digital model with data collected in real-time to improve operating and maintenance processes
- Construction of algorithms dedicated to 4D-5D-6D-7D optimisation (timing, costs, energy, sustainability) - any verticalisation across one or more dimensions.
- Implementation of consistency and accuracy verification algorithms. For example, starting from structural specifications, it is possible to verify whether underlying projects and required materials agree with project specifications and established regulations, avoiding errors and costs.
- Application of blockchain to the BIM collaboration process to ensure document accuracy and traceability.
The solutions proposed provide the tools required for the Digital Twin to become a key feature of business processes, obtaining a series of benefits including:
- Integration of project information to ensure that all project data are digitally available for rapid consultation to everyone involved in the process
- Simplification of collaboration between project team users to promote transparent management and improve project quality thanks to continuous interaction between the various professionals, connected starting from the very initial project phases
- Structuring of information exchange by centralising flows within a single secure, controlled platform accessible to everyone involved
- Project optimisation to reduce losses of material while avoiding job site shutdowns and cost overruns, contributing significant value added in terms of the potential risk assessment