Updating process gains for an optimization process for an industrial plant

A system for controlling an industrial plant, the system comprising:

• a digital twin computer including process model functionalities that represent one or more processes of the industrial plant, the process model functionalities including a plurality of independent variables and a plurality of controlled variables;
• the digital twin computer further including a digital twin historian that is configured to receive data regarding the industrial plant from a site historian of the industrial plant;
• wherein the process model functionalities, when run on a processor of the digital twin computer, causes the processor to perform a method including:
• receiving, from the site historian, data from the industrial plant at the digital twin historian;
• preparing the data from the industrial plant for use by the process model functionalities;
• updating the process model functionalities with the prepared data;
• running the updated process model functionalities;
• extracting a matrix with a plurality of gains from the process model functionalities, wherein each gain of the plurality of gains associates one of the plurality of independent variables with a corresponding one of the plurality of controlled variables;
• passing data based on the matrix with the plurality of gains to an historian of an advanced process control system (APC);
• and
• controlling operation of the industrial plant through the APC system using the data based on the matrix with the plurality of gains received at the historian of the APC system.

A non-transitory computer readable medium including a set of instructions that, when executed by at least one processor, cause the at least one processor to perform a method including:

• receiving, from a site historian, data from an industrial plant at a historian of a digital twin of the industrial plant, the digital twin including process model functionalities that model the industrial plant including a plurality of independent variables and a plurality of controlled variables;
• preparing the data from the industrial plant for use by the process model functionalities;
• updating the process model functionalities with the prepared data;
• running the updated process model functionalities;
• extracting a matrix with a plurality of gains from the process model functionalities, wherein each gain of the plurality of gains associates one of the plurality of independent variables with a corresponding one of the plurality of controlled variables;
• passing data based on the matrix with the plurality of gains to an historian of an advanced process control system (APC);
• and
• controlling operation of the industrial plant through the APC system using the data based on the matrix with the plurality of gains received at the historian of the APC system.