Abstract: A system manages human machine interface (HMI) applications for industrial control and automation. Software instructions stored on a tangible, non-transitory media and executable by a processor receive data indicative of a manufacturing/process control system being monitored and display a user interface indicative of a status of the manufacturing/process control system being monitored wherein the status is based on the received data.

Abstract: An event historian system stores an event data dictionary. The system receives an initial query from a client device on a network connection and responds by providing the event data dictionary information to the client device. The client device sends another query requesting data values which are defined in the event data dictionary. The system responds to the second query by sending results comprising the requested data values to the client system over the network connection.

Abstract: Automated generation of graphical displays of industrial process data tags including three trend charts for each data tag. The displays include trend charts for the time-weighted average, the minimum value, and the maximum value over a predetermined time period. Altering the transparency of the trend charts for the minimum value and maximum value enables displaying data for multiple tags on a single chart.

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: Contextually filtering a state indicator corresponding to a data source in an industrial process historian system. By persisting a unique identifier with state indicators, the state indicators are filtered based on corresponding unique identifiers received by a remote device from a beacon associated with the data source.

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.