Method for integration and coordination of measurement and/or control systems

A system comprising a processor coupled to a memory with measurement and/or control systems as interface systems and with a program memory with control commands stored therein, upon execution of which cause the processor to:

• a. generate, with a computer, a functional data structure with variables for mapping the data values of the measurement and/or control systems;
• b. describe, with the computer, content of the variables by means of a set of defining attributes, wherein at least one attribute contains variable references to other variables in order to map variable networks;
• c. create, with the computer, each time when at least one defining variable attribute value of at least one variable has been changed by at least one of the measurement and/or control systems, a primary clone of said at least one variable;
• and
• d. create, with the computer, machine clones of the variables that lie on dependent variable network paths of the primary cloned variable,
• wherein the primary cloned variable, together with the machine clones of the variables that lie on the dependent variable network paths, define a non-redundant data structure.

A non-transitory computer program product including instructions stored therein which, when the instructions are executed by a computer, cause the computer to;

• a. generate, with a computer, a functional data structure with variables for mapping the data values of the measurement and/or control systems;
• b. describe, with the computer, content of the variables by means of a set of defining attributes, wherein at least one attribute contains variable references to other variables in order to map variable networks;
• c. create, with the computer, each time when at least one defining variable attribute value of at least one variable has been changed by at least one of the measurement and/or control systems, a primary clone of said at least one variable;
• and
• d. create, with the computer, machine clones of the variables that lie on dependent variable network paths of the primary cloned variable,
• wherein the primary cloned variable, together with the machine clones of the variables that lie on the dependent variable network paths, define a non-redundant data structure.