New Digital Twin in PASCAL2

PASCAL2 introduces a newly upgraded Digital Twin capability. Like PASCAL2 itself, the integrated Digital Twin operates without a database or GPU, minimizing implementation costs.

By training and saving field data in PASCAL2 just once, the same model can be used simultaneously for both Anomaly Detection and Digital Twin — eliminating the need for separate training dedicated to the Digital Twin. Users can build a complete Digital Twin system simply by copying the saved training model to another PC and running PASCAL2 in Digital Twin mode.

For seamless integration with legacy systems, PASCAL2 exposes management variables via XRESTApi, enabling easy access to the Digital Twin from any preferred HMI tool or external system on-site.

By accepting real-time input conditions and performing inference through the PASCAL2 AI model trained on actual field data, PASCAL2 delivers a fully virtual factory or virtual system service — outputting inferred results to external systems. This service can be applied to operator training, process testing for continuous improvement without interrupting real line, and even as a data source for training new AI models.