Intent-based automation engineering method

An intent-based automation engineering method for automation of a production process, comprising:

• receiving an intent model, correlating to process intent, comprising production process functions, constraints on measurable properties on the production process functions, and/or production process function sequences required for the production process, wherein the intent model comprises automation engineering data, which are recorded using an intent-language that formulates a quantifiable expectation on the behavior of one or more components of the production process;
• receiving a process model, correlating to process knowledge comprising a production process behavior, wherein the process model comprises statements on a consequence of the production process behavior, wherein the process model is determined by abstracting the process knowledge, wherein the abstracting comprises converting individual machine-readable expert statements on process knowledge into the process model, and wherein the process knowledge is extracted from existing specifications using pattern recognition algorithms, natural language processing and/or AI-based classification;
• determining a machine-readable production model linking the received intent model to the received process model, wherein the production model comprises data associated with maintaining and monitoring a state of the production process and represented at a lower degree of complexity than a degree of complexity of the received process model;
• determining a control strategy for controlling the production process dependent on the provided production model;
• and
• adjusting at least one production process step based on the control strategy.