Abstract: A method for computer-implemented determination of sensor positions in a simulated process of an automation system, wherein the simulated process includes a digital process description of an automation task to be executed by components, the process description including a movement specification describing the movement of the components during execution of the automation task, and including a digital sensing description defining a sensing task to be performed by a sensor during execution of the automation task and at least one sensing constraint of the sensor and the sensor volume of the sensor.

Abstract: A system is provided that facilitates design space exploration with quantitative pruning and ranking. The system may determine a collection of component model solutions corresponding to a functional model with functional model ports for a system to be produced. The component model solutions are comprised of simulated components selected from a component library based at least in part on correspondence between component ports of the simulated components and the functional model ports of the functional model. The system may select a subset of the component model solutions from the collection, which have behaviors determined for each component model solution that are consistent with behaviors determined for the functional model. The system may determine rankings for the component model solutions of the subset relative to each other based on a comparison of behaviors for each component model solution to each other and/or to the behaviors determined for the functional model.

Abstract: It is proposed that an industrial installation, be operated with the power consumption being optimized for a target function. The target function may also factor in further parameters, with the result that multitarget optimization, for example, can be performed and the installation can be adapted in respect of the power consumption or the power consumption can be adapted in respect of the installation. Both the industrial installation and an energy supplier or network operator provide information which can be factored in as appropriate for the purpose of optimization or as part of the target function. It is advantageous that overload situations are avoided and a large number of regenerative energy sources can be used as energy suppliers, because adaptation is effected in line with the amount of energy actually provided. Hence the power supply system can be operated and loaded as appropriate.

Abstract: A system and method is provided that facilitates design space exploration with quantitative pruning and ranking. The system may determine a collection of component model solutions corresponding to a functional model with functional model ports for a system to be produced. The component model solutions are comprised of simulated components selected from a component library based at least in part on correspondence between component ports of the simulated components and the functional model ports of the functional model. The system may select a subset of the component model solutions from the collection, which have behaviors determined for each component model solution that are consistent with behaviors determined for the functional model. The system may determine rankings for the component model solutions of the subset relative to each other based on a comparison of behaviors for each component model solution to each other and/or to the behaviors determined for the functional model.

Abstract: It is proposed that an industrial installation, be operated with the power consumption being optimized for a target function. The target function may also factor in further parameters, with the result that multitarget optimization, for example, can be performed and the installation can be adapted in respect of the power consumption or the power consumption can be adapted in respect of the installation. Both the industrial installation and an energy supplier or network operator provide information which can be factored in as appropriate for the purpose of optimization or as part of the target function. It is advantageous that overload situations are avoided and a large number of regenerative energy sources can be used as energy suppliers, because adaptation is effected in line with the amount of energy actually provided. Hence the power supply system can be operated and loaded as appropriate.