Machine learning system and method for connecting learning model and industrial plant through abstraction layer

An industrial plant machine learning system, comprising:

• a machine learning model providing machine learning data;
• an industrial plant providing plant data;
• and
• an abstraction layer connecting the machine learning model and the industrial plant;
• wherein the abstraction layer is configured to provide communication between the machine learning model and the industrial plant using a machine learning markup language;
• wherein the industrial plant comprises a distributed control system (DCS), and wherein the abstraction layer is configured to determine plant states by analyzing a code of the DCS to automatically generate a finite state machine for auto-generating the plant states and to provide the plant states as abstracted plant data to the machine learning model;
• wherein the machine learning model is configured to use the plant states as data labels for training and machine learning;
• and
• wherein the machine learning model is trained using the plant states and the data labels and the trained machine learning model is used in a process control system or an automation system.