We use the technology of Virtual Commissioning to reduce the actual time needed for the implementation of robotized production lines and stations.
Factory 4.0: a flawless commissioning
Growing market expectations towards reducing the time to launch production processes require advanced solutions to be used.
At AIUT, we use virtual commissioning (VC) technology to fully optimize the designed (or existing) production lines and stations. The range of simulation includes both hardware and software. Our solution allows to test the operation of control systems, simulate the mechanics and automation of defined processes (including the work of robots), and many others. As a result, structural errors are detected and eliminated during the design phase, before they to occur in reality.
Advantages of virtual commissioning:
- Accelerated time to production
- risk minimization
- elimination of errors at the level of advanced simulations - before the production starts
- technology of optimization
- minimizing the risk of downtime in case of a new model implementation or an introduction of changes to existing production processes.
- planning and implementing new models in parallel with existing productions
- higher return on investment
- improved competitiveness of the plant
The main, yet separate tasks for virtual commissioning are:
Defining input/output signals, logical definitions, HMI programming, safety programming.
Required simulations and tests for creating the mechanical project of a production system, including the design, kinematics, programs (path-planning), intervals and cycle time.
Digital twin introduces new possibilities
VC technology enables the replication of robotic stations, production process, and even the entire production hall, using combined data from the entire production ecosystem. As a result, a so-called digital twin is created. Such advanced simulations allow you to map real product behaviour, improve machine and robot behaviour, enable monitoring of various process parameters, reveal production gaps and low-efficiency processes.