Systems and methods for operation and design of industrial system

A system comprising:

• a processor;
• a storage memory coupled to the processor, the storage memory storing processor-executable instructions, wherein the processor-executable instructions are configured for execution by the processor for:
• receiving input representative of a process control installation of the industrial system;
• building an asset model representative of the process control installation of the industrial system in response to the received input, the asset model comprising a plurality of modeled assets defined according to levels of a physical model standard, the modeled assets representing physical devices of the industrial system, wherein building the asset model comprises executing one or more machine learning algorithms to extract information from the received input and retrieving the modeled assets associated with the process control installation from an assets database based on the extracted information, and wherein building the asset model comprises executing a configuration tool to define the modeled assets associated with the process control installation;
• creating an asset library of distributed control assets according to a distributed control programming standard, the distributed control assets each having one or more predefined, built-in facets;
• applying a mapping ruleset to the modeled assets to map one of the distributed control assets from the asset library to each of the modeled assets, wherein the distributed control assets configure the process control installation of an industrial system;
• and
• automatically generating at least one asset-based control application, wherein the at least one asset-based control application is configured for execution by one or more controllers of the process control installation to provide control within a distributed control system of the industrial system.

A method of building an asset control model for use in configuring a distributed control system, the method comprising:

• receiving input representative of a process control installation of an industrial system;
• executing one or more machine learning algorithms to extract information from the received input and retrieving a plurality of distributed control assets associated with the process control installation from an assets database based on the extracted information;
• executing a configuration tool to define the distributed control assets according to a distributed control programming standard based on the received input, wherein the distributed control assets represent the process control installation of the industrial system, and wherein the distributed control assets are mapped from one or more physical assets and one or more control assets defined according to levels of a physical model standard;
• creating an asset control model library configured to store the distributed control assets;
• providing each of the distributed control assets with one or more predefined, built-in facets;
• populating the asset control model library with the distributed control assets having the one or more predefined, built-in facets;
• and
• automatically generating at least one asset-based control application from the distributed control assets, wherein the at least one asset-based control application is configured for execution by one or more controllers of the process control installation to provide control within a distributed control system of the industrial system.