Embodiments include systems and methods of in-line mixing of hydrocarbon liquids from a plurality of tanks into a single pipeline. According to an embodiment, a method of admixing hydrocarbon liquids from a plurality of tanks into a single pipeline to provide in-line mixing thereof includes determining a ratio of a second fluid flow to a first fluid flow based on signals received from a tank flow meter in fluid communication with the second fluid flow and a booster flow meter in fluid communication with a blended fluid flow. The blended fluid flow includes a blended flow of the first fluid flow and the second fluid flow. The method further includes comparing the determined ratio to a pre-selected set point ratio thereby to determine a modified flow of the second fluid flow to drive the ratio toward the pre-selected set point ratio. The method further includes controlling a variable speed drive connected to a pump thereby to control the second fluid flow through the pump based on the determined modified flow, the pump being in fluid communication with the second fluid flow.

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.

A system for using digital twins to interact with physical objects in an automation system includes a plurality of controller devices, a process image backbone, and a registry comprising a plurality of digital twins. Each respective controller device comprises a volatile computer-readable storage medium comprising a process image area. The process image backbone provides the controllers with uniform access to the process image area of each controller. Each digital twin in the registry corresponds to a physical device controllable via one of the controllers devices via a corresponding process image area.

Embodiments include systems and methods of in-line mixing of hydrocarbon liquids from a plurality of tanks into a single pipeline. According to an embodiment, a method of admixing hydrocarbon liquids from a plurality of tanks into a single pipeline to provide in-line mixing thereof includes determining a ratio of a second fluid flow to a first fluid flow based on signals received from a tank flow meter in fluid communication with the second fluid flow and a booster flow meter in fluid communication with a blended fluid flow. The blended fluid flow includes a blended flow of the first fluid flow and the second fluid flow. The method further includes comparing the determined ratio to a pre-selected set point ratio thereby to determine a modified flow of the second fluid flow to drive the ratio toward the pre-selected set point ratio. The method further includes controlling a variable speed drive connected to a pump thereby to control the second fluid flow through the pump based on the determined modified flow, the pump being in fluid communication with the second fluid flow.

Systems and methods for providing operator variation analysis for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for providing operator variation analysis includes processing input data received from one or more data sources to identify transient or non-steady state process data relating to the industrial operation and selecting one or more types of data in the transient or non-steady state process data to cluster for operator variation analysis. The one or more types of data are clustered using one or more data clustering techniques, and the clustered one or more types of data are analyzed to identify a best operator of a plurality of operators responsible for managing the industrial operation. Information is analyzed to determine if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and other operators.

Systems and methods for providing operator variation analysis for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for providing operator variation analysis includes processing input data received from one or more data sources to identify steady state process data relating to the industrial operation and selecting one or more types of data in the steady state process data to cluster for operator variation analysis. The one or more types of data are clustered using one or more data clustering techniques, and the clustered one or more types of data are analyzed to identify a best operator of a plurality of operators responsible for managing the industrial operation. Information is analyzed to determine if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and other operators.

Systems and methods for addressing gaps in an industrial operation due to operator variability are disclosed herein. In one aspect of this disclosure, a method for addressing gaps in an industrial operation due to operator variability includes processing input data received from one or more data sources to identify a best operator of a plurality of operators responsible for managing the industrial operation, and determining if one or more gaps exist in the economic operation of the industrial operation due to operator variability between the best operator and operators other than the best operator. Identified gaps may be analyzed to determine if relevant characteristics associated with the gaps justify at least one solution for addressing the gaps for the particular industrial operation. At least one solution may be identified and mapped to the gaps in some instances.

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.

A method and apparatus for applying optimized yaw settings to wind turbines including receiving operating data from at least one wind turbine on a wind farm and sending the data to a supervisory control and data acquisition (SCADA) system on the at least one wind turbine to generate current SCADA data. The current SCADA data is sent a central processing center away from the wind farm. The central processing center includes an optimization system that can generate a new look up table (LUT) including at least one new wind turbine yaw setting calculated using information comprising wind direction, wind velocity, wind turbine location in the wind farm, information from a historic SCADA database, and yaw optimizing algorithms. The new LUT is then sent to a yaw setting selection engine (YSSE) where instructions regarding the use of the new LUT are generated.

Embodiments include systems and methods of in-line mixing of hydrocarbon liquids from a plurality of tanks into a single pipeline. According to an embodiment, a method of admixing hydrocarbon liquids from a plurality of tanks into a single pipeline to provide in-line mixing thereof includes determining a ratio of a second fluid flow to a first fluid flow based on signals received from a tank flow meter in fluid communication with the second fluid flow and a booster flow meter in fluid communication with a blended fluid flow. The blended fluid flow includes a blended flow of the first fluid flow and the second fluid flow. The method further includes comparing the determined ratio to a pre-selected set point ratio thereby to determine a modified flow of the second fluid flow to drive the ratio toward the pre-selected set point ratio. The method further includes controlling a variable speed drive connected to a pump thereby to control the second fluid flow through the pump based on the determined modified flow, the pump being in fluid communication with the second fluid flow.