Abstract: The present invention aims at providing an approach to digital twin-based process control for efficient and accurate achievement of process objectives. Heretofore, a controller service module (18) runs an event-driven control process in a digital twin domain for control of process entities operated in a process domain. The behavior of process entities is modeled through execution of state machine models. Event data is communicated asynchronously to the controller service module (18) for storage in a process cycle buffer (26). A model-based process controller (24) reads input information in processing cycles and controls process entities by operating state machine models to reflect the input of event data. It is checked whether the operation of state machine models triggers the generation of external control commands which are then output by an outbound interface (32) to process entities for control processing.

Abstract: The present invention relates to the field of automated control process generation for control of a cyber-physical system. In more detail the present invention relates to a method of specifying a control process for a cyber-physical system and a related control process specifying engine. Control process specification is achieved by specifying at least one control process observation target to be reached by the control process. Then, according to the present invention a method of generating at least one control process instruction for the specified control process and a related control process experiment execution engine are used for automated control process generation through execution of control process experiments.

Abstract: The present invention relates to the field of real time process control using digital twins. In more detail, the present invention relates to the field of modeling distributed event-discrete systems using digital twins and subsequent use of the models for real time control of distributed even-discrete systems. There is provided a virtual twin engine for control of a distributed even-discrete system in real-time. The virtual twin engine has installed at least one executable modeling software kernel which runs subsystem use models in relation to subsystem clusters of the distributed event-discrete system. Also, the virtual twin engine operates the at least one digital twin in a passive manner through real time access to the modeling software kernel modeling the subsystem use model of the at least one digital twin.

Abstract: The present invention aims at providing an approach to digital twin-based process control for efficient and accurate achievement of process objectives. Heretofore, a controller service module (18) runs an event-driven control process in a digital twin domain for control of process entities operated in a process domain. The behavior of process entities is modeled through execution of state machine models. Event data is communicated asynchronously to the controller service module (18) for storage in a process cycle buffer (26). A model-based process controller (24) reads input information in processing cycles and controls process entities by operating state machine models to reflect the input of event data. It is checked whether the operation of state machine models triggers the generation of external control commands which are then output by an outbound interface (32) to process entities for control processing.

Abstract: The present invention aims at providing an approach to digital twin-based process control for efficient and accurate achievement of process objectives. Heretofore, a controller service module (18) runs an event-driven control process in a digital twin domain for control of process entities operated in a process domain. The behavior of process entities is modeled through execution of state machine models. Event data is communicated asynchronously to the controller service module (18) for storage in a process cycle buffer (26). A model-based process controller (24) reads input information in processing cycles and controls process entities by operating state machine models to reflect the input of event data. It is checked whether the operation of state machine models triggers the generation of external control commands which are then output by an outbound interface (32) to process entities for control processing.

Abstract: The present invention aims at providing an approach to digital twin-based process control for efficient and accurate achievement of process objectives. Heretofore, a controller service module (18) runs an event-driven control process in a digital twin domain for control of process entities operated in a process domain. The behavior of process entities is modeled through execution of state machine models. Event data is communicated asynchronously to the controller service module (18) for storage in a process cycle buffer (26). A model-based process controller (24) reads input information in processing cycles and controls process entities by operating state machine models to reflect the input of event data. It is checked whether the operation of state machine models triggers the generation of external control commands which are then output by an outbound interface (32) to process entities for control processing.

Abstract: The present invention relates to the field of real time process control using digital twins. In more detail, the present invention relates to the field of modeling distributed event-discrete systems using digital twins and subsequent use of the models for real time control of distributed even-discrete systems. There is provided a virtual twin engine for control of a distributed even-discrete system in real-time. The virtual twin engine has installed at least one executable modeling software kernel which runs subsystem use models in relation to subsystem clusters of the distributed event-discrete system. Also, the virtual twin engine operates the at least one digital twin in a passive manner through real time access to the modeling software kernel modeling the subsystem use model of the at least one digital twin.

Abstract: Modelling of distributed event-discrete systems using digital twins. In more detail, the present disclosure relates to the field of modeling distributed event-discrete systems using digital twins for subsequent use of the models during real time control of distributed even-discrete systems. Heretofore, there are provided a computer implemented meta model, modeling methods using the computer implemented meta model, and related modeling engine and service engine. In the computer implemented meta model at least one state in the at least one state model is represented by a set of partial states using different levels of data abstraction according to a meta description, a range of values characterizing a target for a considered state, and a range of values representing an actual constellation of a considered state.

Abstract: Real time process control using digital twins. In more detail, the present disclosure relates to the field of modeling distributed event-discrete systems using digital twins and subsequent use of the models for real time control of distributed even-discrete systems. There is provided a virtual twin engine for control of a distributed even-discrete system in real-time. The virtual twin engine has installed at least one executable modeling software kernel which runs subsystem use models in relation to subsystem clusters of the distributed event-discrete system. Also, the virtual twin engine operates the at least one digital twin in a passive manner through real time access to the modeling software kernel modeling the subsystem use model of the at least one digital twin.

Abstract: Modelling of distributed event-discrete systems using digital twins. In more detail, the present disclosure relates to the field of modeling distributed event-discrete systems using digital twins for subsequent use of the models during real time control of distributed even-discrete systems. Heretofore, there are provided a computer implemented meta model, modeling methods using the computer implemented meta model, and related modeling engine and service engine. In the computer implemented meta model at least one state in the at least one state model is represented by a set of partial states using different levels of data abstraction according to a meta description, a range of values characterizing a target for a considered state, and a range of values representing an actual constellation of a considered state.

Abstract: Real time process control using digital twins. In more detail, the present disclosure relates to the field of modeling distributed event-discrete systems using digital twins and subsequent use of the models for real time control of distributed even-discrete systems. There is provided a virtual twin engine for control of a distributed even-discrete system in real-time. The virtual twin engine has installed at least one executable modeling software kernel which runs subsystem use models in relation to subsystem clusters of the distributed event-discrete system. Also, the virtual twin engine operates the at least one digital twin in a passive manner through real time access to the modeling software kernel modeling the subsystem use model of the at least one digital twin.