With the use of networked tools, however, the startup can be carried out in a more controlled manner and without a great loss of time. Simulation, sensor technology, data analysis and manual interventions by commissioning engineers or maintenance personnel are then combined into a harmonized team. As far-reaching as possible, predictive activities, e.g. the use of sensor technology to record tolerances, are closely interlocked with actionable response through the digital tools.
„There are two approaches today: Either you rely on a deep toolchain, but then you have to deal with many breaks between simulation, programming, commissioning and service. Or you use highly simplified software that supports startup, such as exists for cobots. In this case, however, many functions and advanced tools are missing,” said Dr. Sven Schmidt-Rohr, CEO of ArtiMinds, describing the previous challenge for users. “ArtiMinds now enables a paradigm shift – both approaches are combined: the engineering chain thus becomes continuous all the way to maintenance, but without the user having to accept any loss of functionality. Many users are not yet aware of the advantages this brings, especially in the startup phase.” Important elements of the digital toolchain are:
- 1. An easy-to-understand hardware-independent representation of the robot program that can be quickly adapted and evaluated in a simulation environment.
- 2. The use of sensor technology for continuous data collection and an adaptive process.
- 3. The continuous collection of plant and robot data as a basis for process-related analysis tools.
- 4. The ability to easily reconcile manual corrections made by maintenance personnel on the plant, whether with the simulation environment or analysis tools.