Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, displaying and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that enables multiple, alternate hierarchies to be organized, restructured and/or created based on the same set of assets, with each of the hierarchies being ontologically different and catering to wide variety of relationships that can exist between assets. The framework configures and displays a hierarchical representation of assets, along with various properties of each asset, within a dynamically generated and displayed interface. The framework's visualization and analysis can be modified in response to a request, where dependent on the type of request or type of action included in the request, a restructuring of a hierarchy or new generation of a hierarchy can be realized and displayed.

Abstract: Some embodiments include a system and method of receiving, by an edge computing device, from a server processor of a cloud platform coupled to a network, human-machine-interface logic associated with a local display of data received from a device of a distributed environment coupled to the network. Further, the system and method includes configuring the edge computing device as a human-machine-interface, coupling a data ingester and establishing a data connection to the distributed environment of the network, operating the data ingester to discover the device and receive data from the device, and processing a local graphical visualization of at least one update to the network.

Abstract: A system for developing a simulation of a process. In one aspect, a system creates a first model within the simulation. The first model represents a part of the process and comprises a first port to which other models may be connected. The system also creates a second model within the simulation. The second model represents another part of the process and comprises a second port to which other models may be connected. The system then connects the first port and the second port together. Upon connection, the system allocates a memory location as a connection variable that represents a type of information transfer between the first and second ports. A first port variable, which represents a value transferrable through the first port, is set to reference the value at the allocated memory location. Similarly, a second port variable, which represents a value transferrable through the second port, is also set to reference the value at the allocated memory location.

Abstract: Some embodiments include a system and method of receiving, by an edge computing device, from a server processor of a cloud platform coupled to a network, human-machine-interface logic associated with a local display of data received from a device of a distributed environment coupled to the network. Further, the system and method includes configuring the edge computing device as a human-machine-interface, coupling a data ingester and establishing a data connection to the distributed environment of the network, operating the data ingester to discover the device and receive data from the device, and processing a local graphical visualization of at least one update to the network.

Abstract: Configuration utilities, such as object wizards, enable automatic configuration of domain-specific assets from object templates based on domain specific options. In an aspect, an application object template library stores a set of previously defined application object templates. The templates each include a superset of options common to a set of related domain objects. A configuration utility is configured for specifying at least one domain-specific option of the superset and creating an application object instance to be included in an application. The application object instance comprising at least one of the application object templates having the specified domain-specific option.

Abstract: A system simulates a process. Software instructions stored on a memory device and executable by a processor represent a process entity with a model. Instructions configure the model to function in a plurality of modes, the modes comprising a process mode, a fluid flow mode, and a dynamic mode. Additionally, instructions simulate the function of the process entity with the model in a first mode from the plurality of modes and then switch the model to a second mode from the plurality of modes.

Abstract: A system displays simulation data on a canvas. Software instructions stored on a memory device and executable by a processor display a first set of simulation data on a canvas, the first set of simulation data corresponding to a first zoom level of the canvas. Instructions adjust the canvas from the first zoom level to a second zoom level. Instructions display a second set of simulation data on the canvas, said displayed second set of simulation data corresponding to the second zoom level of the canvas.

Abstract: Automated configuration of graphical user interface screens of industrial software applications. An application executing on a computing device utilizes a navigation model representing hierarchies of navigation items to automate placement of graphical components in appropriate locations on the graphical user interface.

Abstract: A system simulates a process entity. Software instructions stored on a memory device and executable by a processor create a plurality of entity type objects that generically represents a type of process entity. Instructions store the plurality of entity type objects in a shared repository. Additionally, instructions enable a plurality of users to access the plurality of entity type objects in the shared repository simultaneously.

Abstract: A system for developing a simulation of a process. In one aspect, a system creates a first model within the simulation. The first model represents a part of the process and comprises a first port to which other models may be connected. The system also creates a second model within the simulation. The second model represents another part of the process and comprises a second port to which other models may be connected. The system then connects the first port and the second port together. Upon connection, the system allocates a memory location as a connection variable that represents a type of information transfer between the first and second ports. A first port variable, which represents a value transferrable through the first port, is set to reference the value at the allocated memory location. Similarly, a second port variable, which represents a value transferrable through the second port, is also set to reference the value at the allocated memory location.

Abstract: Embodiments include a server system including logic of an edge computing device. A network includes a cloud platform able to receive utilization change events from a utilization module, and execution of the program logic results in process steps of a method that include transmitting a plurality of attributes from the cloud platform to the at least one edge computing device, where the plurality of attributes can be associated with a device of a distributed environment coupled to the network. Another step includes receiving from the utilization module, by the edge computing device, current utilization data of the device, and a further step includes performing a comparison based on a set of rules or mappings of the attributes, by the edge computing device, of the current utilization data. Finally, based on the comparison, the method includes sending, by the edge computing device, an update to a human-machine-interface module.

Abstract: Some embodiments include a system and method of receiving, by an edge computing device, from a server processor of a cloud platform coupled to a network, human-machine-interface logic associated with a local display of data received from a device of a distributed environment coupled to the network. Further, the system and method includes configuring the edge computing device as a human-machine-interface, coupling a data ingester and establishing a data connection to the distributed environment of the network, operating the data ingester to discover the device and receive data from the device, and processing a local graphical visualization of at least one update to the network.

Abstract: Embodiments include a server system including logic of an edge computing device. A network includes a cloud platform able to receive state change events from a state module, and execution of the program logic results in process steps of a method that include transmitting a plurality of attributes from the cloud platform to the at least one edge computing device, where the plurality of attributes can be associated with a device of a distributed environment coupled to the network. A further step includes receiving from the state module, by the edge computing device, current state data of the device, and a subsequent step includes performing a comparison based on a set of rules of the attributes, by the edge computing device, of the current state data. Further, based on the comparison, the method includes sending, by the edge computing device, an update to a human-machine-interface module.

Abstract: A system simulates a process entity. Software instructions stored on a memory device and executable by a processor creates an entity type object that generically represents a type of process entity. Instructions create a simulation representing a process and instantiate an entity type instance in the simulation based on the entity type object. The entity type instance represents a specific process entity in the process. Additionally, instructions simulate the functionality of the specific process entity by the entity type instance in the simulation.

Abstract: Software instructions stored on a memory device and executable by a processor generate a plurality of models to simulate a process entity. The models include equations that mathematically represent the functionality of the process. Moreover, the models are configured to accurately represent the functionality of the process. Instructions determine whether the equations of the models are solvable after each change made to the models and indicate the result of the determination of solvability of the equations. Changes to the plurality of models are suggested that may render the equations solvable if the equations are determined to be unsolvable.

Abstract: A system simulates a process entity. Software instructions stored on a memory device and executable by a processor create a plurality of entity type objects that generically represents a type of process entity. Instructions store the plurality of entity type objects in a shared repository. Additionally, instructions enable a plurality of users to access the plurality of entity type objects in the shared repository simultaneously.

Abstract: Configuration utilities, such as object wizards, enable automatic configuration of domain-specific assets from object templates based on domain specific options. In an aspect, an application object template library stores a set of previously defined application object templates. The templates each include a superset of options common to a set of related domain objects. A configuration utility is configured for specifying at least one domain-specific option of the superset and creating an application object instance to be included in an application. The application object instance comprising at least one of the application object templates having the specified domain-specific option.

Abstract: Software instructions stored on a memory device and executable by a processor generate a plurality of models to simulate a process entity. The models include equations that mathematically represent the functionality of the process. Moreover, the models are configured to accurately represent the functionality of the process. Instructions determine whether the equations of the models are solvable after each change made to the models and indicate the result of the determination of solvability of the equations. Changes to the plurality of models are suggested that may render the equations solvable if the equations are determined to be unsolvable.

Abstract: A system simulates a process entity. Software instructions stored on a memory device and executable by a processor creates an entity type object that generically represents a type of process entity. Instructions create a simulation representing a process and instantiate an entity type instance in the simulation based on the entity type object. The entity type instance represents a specific process entity in the process. Additionally, instructions simulate the functionality of the specific process entity by the entity type instance in the simulation.

Abstract: A system for developing a simulation of a process. In one aspect, a system creates a first model within the simulation. The first model represents a part of the process and comprises a first port to which other models may be connected. The system also creates a second model within the simulation. The second model represents another part of the process and comprises a second port to which other models may be connected. The system then connects the first port and the second port together. Upon connection, the system allocates a memory location as a connection variable that represents a type of information transfer between the first and second ports. A first port variable, which represents a value transferable through the first port, is set to reference the value at the allocated memory location. Similarly, a second port variable, which represents a value transferable through the second port, is also set to reference the value at the allocated memory location.