At first glance, automated O-ring assembly seems like a manageable process. In practice, however, it quickly becomes clear that even compact assembly applications present the typical challenges of modern automation. Conveyor technology, sensor technology, actuators, interlocks, process logic, and diagnostics must interact precisely for the process to function stably and traceably.

Especially with such processes, it is often underestimated how demanding training, testing, and troubleshooting on the real system can be. If learning and initial functional tests only take place in live operation, time losses, unnecessary interruptions, and avoidable risks to project progress quickly arise.

Often, the actual problem is not the complexity of the task alone, but the lack of an environment in which these interrelationships can be taught safely and reproducibly.

A training twin shifts these tasks into a controlled digital environment. Typical processes, states, and malfunctions can be comprehensibly set up, tested, and analyzed there without tying up real hardware or burdening productive systems.

This not only makes training more predictable but also virtual commissioning and technical diagnostics. Users can understand process logics, check signal flows, comprehend interlocks, and systematically narrow down errors. At the same time, a learning environment is created where knowledge can be built up structurally instead of only being generated under time pressure in day-to-day project work.

Especially in assembly applications, this is a clear advantage: the processes are compact enough to convey relationships effectively, and at the same time complex enough to realistically map practically relevant automation tasks.

Together with our partner Conwex GmbH, we have developed a NexaTwin training and preview twin for O-ring assembly. The aim was to provide an application that allows for practical training of typical tasks related to control, process logic, diagnostics, and virtual commissioning.

The twin digitally maps the central technical processes of O-ring assembly, creating a robust foundation for training, testing, and preparatory commissioning.

The solution is available in the NexaSwift Marketplace in two variants. The free preview version is suitable for a quick technology check as well as for performance and system tests. The training twin with PLC connection is designed for practical training, diagnostics, and virtual commissioning.

The solution is aimed at students of automation technology, technicians and electricians in the SPS and PLC environment, companies with junior or aspiring personnel, and training centers that want to teach real automation tasks in a structured training environment.

In practical use, the digital twin enables PLC training under realistic conditions on two platforms. Both Rockwell with FactoryTalk Logix Echo and Siemens S7-1500 with PLCSIM Advanced are supported. This allows signal flows, variable logic, and process behavior to be understood and systematically built in reproducible scenarios.

Another focus is on drive technology, process logic, and interlocks. With SEW Movimot as a speed-controlled drive, enable signals, stop logic, and higher-level sequence structures can be tested under practical conditions. Step sequences and state models can not only be built but also specifically analyzed and debugged.

In addition, the handling of sensors, analog values, and actuators is covered. Analog feedback, such as from level sensors, can be scaled, evaluated, and used for process decisions. At the same time, binary sensors and actuators can be safely integrated into the overall process. This improves understanding of how field signals, control logic, and real process states interact.

The digital twin is also particularly relevant for diagnostics and troubleshooting. Typical faults such as missing enables, unreached end positions, drive errors, or sensor errors can be specifically generated, detected, and remedied. Variable lists, watch and trace functions, and status displays help to systematically narrow down errors and optimize processes.

For companies, the added value lies primarily in better planning of qualification. Training and initial tests no longer have to take place exclusively on the real plant. This reduces the risk of downtime, relieves the burden on ongoing operations, and creates space for structured onboarding.

At the same time, the likelihood that knowledge is only conveyed situationally and under time pressure decreases. Repeatable scenarios, clear variable concepts, and traceable process states help to introduce employees to typical automation tasks more quickly and safely. This shortens onboarding times, reduces rework, and improves preparation for real commissioning.

This is a decisive advantage, especially for companies that want to systematically develop programming staff, trainees, or junior employees.

Even small assembly processes are excellently suited to convey the central principles of modern automation. Precisely because they appear compact, their technical requirements are often underestimated. In reality, however, they contain all the essential elements that are also relevant in larger systems.

A training digital twin creates the necessary environment to train these connections safely, structured, and reproducibly. Training, diagnosis, and virtual commissioning become plannable without blocking real systems or incurring unnecessary risks. This is precisely where the real added value lies: better qualification, more safety, and a significantly more controlled preparation for real-world use.