Method for modeling and simulating a system of systems

A method of modeling and simulating a system of systems, involving a technical system of interest and a plurality of systems external to the technical system of interest, forming an environment wherein the technical system of interest evolves, comprises the following steps:

• a step of designing one or more scalable digital models of the system of systems, including recording the following elements in digital files:
• a description of the system of interest in a hierarchy of systems, comprising for each system a plurality of descriptors of the components of the system and of parameters associated with each of the systems, each of the components being itself modelable as a system, down to the level of an elementary object;
• a description of the environment of the system of interest comprising, for each external system with which the system of interest interacts, a hierarchical description similar to that of the system of interest;
• and
• a description of activities carried out by each of the systems involved and interactions between these systems, including:
• a plurality of descriptors of laws of internal evolution of their components and laws of dynamic interactions between the system of interest and the other systems with which the system of interest interacts;
• and
• wherein the laws of dynamic interactions are capable of changing, creating, destroying or moving one or more systems in the hierarchy, wherein the laws of dynamic interactions have deterministic or stochastic effects, and are temporized by association with execution times, again deterministic or stochastic, and wherein each system is capable of having its own temporality;
• a step of configuring this digital model comprising the following steps:
• collecting data sets corresponding to the description of static and/or dynamic parameters for evolution of the systems in question, which may call on internal or external databases;
• injecting these data sets into the digital model(s) in an appropriate format;
• and
• defining key performance indicators to be assessed, to support decision-making during at least one of design, deployment, operation, maintenance and dismantling of the system of interest;
• and
• a numerical simulation step enabling the above-mentioned performance indicators to be effectively evaluated, this step comprising the following sub-steps:
• defining simulation scenarios involving a plurality of iterations and statistical processing of the calculated values of the performance indicators;
• and
• the actual execution of these simulation scenarios on a set of control units, taking into account the load on each of the control units.