Method and system for optimizing functional block diagram programming for automation environment

A system for optimizing functional block diagram programming for an automation environment, the system comprising:

• an application interface for communicating with the system;
• one or more processors;
• and
• a memory coupled to the one or more processors, wherein the memory comprises a library of logic instruction blocks and instructions which, when executed by the one or more processors, configures the one or more processors to:
• receive a user input selecting a function block associated with the functional block diagram configured for implementation by a programmable logic device to control an automated process in the automation environment, wherein each function block of a plurality of function blocks is characterized by one or more physical properties that are distinct from physical properties of one or more other functional blocks in the functional block diagram, and wherein the one or more physical properties are associated with an input and an output of the functional block;
• determine a set of function blocks of the plurality of function blocks corresponding to the selected at least one function block based on a probability of suitable fit, by a machine learning model;
• determine a probability score for each function block of the set of function blocks by the machine learning model, wherein the probability score indicates a probability of suitable fit of each of the function blocks as a next function block in the functional block diagram programming;
• recommend the set of function blocks based on a priority of the probability score;
• and
• cause to display the recommended function blocks on an interface of the programmable logic device.