System and method for automatically rectifying deviations on a machine line

A system for automatically rectifying deviations on a machine line, wherein the system comprises:

• the machine line;
• a human-machine interface (HMI);
• a plant control system for controlling the machine line and for reading data from the machine line, wherein the plant control system is adapted to:
• monitor an actual state of the machine line, wherein monitoring the actual state of the machine line includes monitoring one or more parameters of the machine line,
• detect a deviation between the monitored actual state and an optimal state of the machine line, and
• determine a response measure suitable for rectifying the deviation,
• a large action model (LAM) unit adapted to:
• derive one or more control commands from the response measure, and
• execute the one or more control commands on the machine line in order to rectify or minimize the deviation, and
• a large language model (LLM) unit adapted to:
• process intervention information, wherein processing said intervention information involves generating a message about the deviation and the response measure.

A computer-readable storage medium having program instructions recorded thereon that, when executed by at least one computer apparatus, configure the at least one computer apparatus for:

• monitoring an actual state of a machine line using a plant control system, wherein monitoring the actual state of the machine line includes monitoring one or more parameters of the machine line;
• detecting a deviation between the monitored actual state and an optimal state of the machine line using the plant control system;
• determining a response measure suitable for remedying the deviation using the plant control system;
• deriving one or more control commands from the response measure using a large action model (LAM) unit;
• executing the one or more control commands on the machine line using the LAM unit in order to remedy or minimize the deviation;
• sending intervention information to a large language model (LLM) unit;
• and
• processing the intervention information using the LLM unit, wherein processing said information by the LLM unit includes generating a message about the deviation and the response measure.