Process and machine simulation
Develop machine and process simulation projects
Develop digital twins to simulate and emulate industrial systems
We use highly robust, specialist software tools to create digital twins that are simply visualisations of projects in the design phase or of systems already in operation. These digital twins try to simulate and emulate the control and automation of production and logistics processes, mainly in order to optimise existing systems or to ensure the correct specification of new ones, with significant savings in asset costs and development time.
Digital twins allow us to simulate mechatronic concepts and material flows, check components or plant areas, and carry out pre-testing, design validation, performance analysis, staff training, validation of changes in plant, validation of cycle times, etc.
The term ‘Digital Twin’ originates from the University of Michigan. It was Michael Grievesa, in 2003, who introduced the term during a conference on product lifecycle management. According to Grieves, the DG is mainly composed of three components:
So, with these descriptions and this in mind, what is a Digital Twin for? Well, it can be used in all phases of the cycle, both for forecasting and optimising dynamic systems.
It is possible to distinguish two concepts encompassed within the Digital Twin. On the one hand, there is the concept of simulation and, on the other hand, emulation. Simulation is used to test and develop different solutions. The positive point of emulation is that it really does involve a functional separation of the model. That is, it incorporates part of the functional model in the real system in the test. In doing so, it offers real-time performance that allows a more optimal solution to be arrived at.
While simulation is used to analyse the productivity of the system, emulation is used to test the logical operation of the industrial control system.
The Digital Twin offers a series of advantages to companies that opt to implement this type of technology in their production processes:
At Electroingenium we are committed to process automation as the ideal internal working methodology. With this, we bring innovation to traditional services that are based on electrical engineering and installation automation. Through the Digital Twin we can implement the production technology of the future in the company.
For the user, this type of work methodology allows for greater control over the production process, as well as anticipating possible problems that may occur during start-up.
Develop machine and process simulation projects
Control code debugging by emulating the automation system, signals, devices and processes
Develop virtual and augmented reality projects in order to streamline maintenance
Integrate sensorics and IoT connectivity in control systems
Integrate data analytics models in control systems