A system model creating and simulation device for a process control system obtains description files of process modules including inputs, outputs and process control devices therebetween, where each description file specifies, for the corresponding module, connection terminals in the form of inputs and outputs, the process control devices and the interconnection of process control devices between the connection terminals, analyses of the description files, having determining a connection terminal of a first process module matching a connection terminal of a second process module, determines connections between the process modules based on the analysis, having determining a connection between the matching connection terminals, selecting simulation objects corresponding to the process control devices of the process modules, interconnecting the simulation objects according to data in the description files as well as through the connections determined between the process modules for forming a simulation model, and performing simulations in the simulation model.

Various embodiments of the present technology relate to digital twins of devices and assemblies. More specifically, some embodiments relate to the orchestration of digital twin models for representing industrial systems based on characteristics of digital twins. In an embodiment, a method of operating an orchestration engine in an industrial automation environment comprises identifying a targeted outcome for modeling the industrial automation environment, configuring a digital twin environment corresponding to the industrial automation environment based at least on the targeted outcome, and executing a process associated with the industrial automation environment using the digital twin environment.

A design and testing simulation scales an industrial simulation across multiple different processing nodes, and generates a unified view of the distributed industrial simulation based on simulation and graphics data collected from the multiple processing nodes. The system can allow the user to designate different portions of the a digital model of an automation system to be executed on respective different distributed processing nodes, such that each portion of the model is executed on its designated node and the nodes exchange data as necessary to simulate the aggregate automation system as a whole. In order to visualize this aggregated simulation, the design and testing system unifies the distributed portions of the model into a unified three-dimensional presentation at a single node, and this unified view is animated based on data received from the nodes on which the distributed simulation is executed.

An integrated simulation system includes a first simulation device which executes a simulation of a first program, a second simulation device which executes a simulation of a second program, a start timing setting section which sets start timing for the correlated first program and second program so as to verify the presence or absence of malfunctions caused by a start order of the correlated first program and second program, and a program starting section which issues commands to the first simulation device and the second simulation device to start the correlated first program and second program at the set start timing by a single starting operation.

The disclosure is directed to a novel system and methods for modeling process components using segmental analysis. As opposed to analyzing the entire system at once, each element representing a process component is assigned parameter inputs that enable the system to determine a current state. Changes in the element's parameter inputs are fed in a bi-directional manner to other elements connected by segments where the other elements use the parameter inputs to determine a predictive or current process condition that are used as new parameter inputs for the next element. In some embodiments, the system allows for the prevention of component state change with only a portion of the entire process being solved, as abnormal conditions can be detected without solving for the entire system.

A computer aided process for creation of a manufacturing facility, for production of a user-selected product, relies on a set of functional modules for specification of the facility's floorspace requirements, manufacturing equipment, and equipment layout to allow optimization of the facility for a production capacity specified by the user.

A system and method for generating a holistic digital twin of an industrial facility that includes a plurality of assets, wherein the said system includes conversion units configured to convert asset related data collected from different tools utilized to plan and/or operate the industrial facility in a tool specific data format and asset related data provided by data sources of the industrial facility in a data source specific data format into a common graphical representation, a matching unit configured to match the common graphical representations of the converted asset related data to provide a mapping between the assets of the industrial facility, and a merging unit configured to merge the mapped assets of the industrial facility into a unified graph to provide the holistic digital twin of the industrial facility.

A design and testing simulation scales an industrial simulation across multiple different processing nodes, and generates a unified view of the distributed industrial simulation based on simulation and graphics data collected from the multiple processing nodes. The system can allow the user to designate different portions of the a digital model of an automation system to be executed on respective different distributed processing nodes, such that each portion of the model is executed on its designated node and the nodes exchange data as necessary to simulate the aggregate automation system as a whole. In order to visualize this aggregated simulation, the design and testing system unifies the distributed portions of the model into a unified three-dimensional presentation at a single node, and this unified view is animated based on data received from the nodes on which the distributed simulation is executed.

A hyperconverged industrial process control architecture is disclosed for controlling an industrial process within a physical process environment using a software-defined distributed control system (DCS) environment. The software-defined DCS environment may be implemented by virtualizing the hardware components of a DCS architecture on a server group to enable both software-defined process controllers and back-end DCS applications to run within the server group. This software-defined DCS network architecture reduces the hardware requirements of the process control system and reduces configuration complexity by implementing control components and higher-level components within a common environment within the server group.

A hyperconverged industrial process control architecture is disclosed for controlling an industrial process within a physical process environment using a software-defined distributed control system (DCS) environment. The software-defined DCS environment may be implemented by virtualizing the hardware components of a DCS architecture on a server group to enable both software-defined process controllers and back-end DCS applications to run within the server group. This software-defined DCS network architecture reduces the hardware requirements of the process control system and reduces configuration complexity by implementing control components and higher-level components within a common environment within the server group.