Abstract: The present disclosure is directed to a digital system for managing a wind farm having a plurality of wind turbines electrically coupled to a power grid. The system includes a farm-based first communication network having one or more individual wind turbine control systems communicatively coupled to the one or more wind turbines and an overall wind farm control system. The system also includes a cloud-based second communication network communicatively coupled to the first communication network via an industrial gateway. The second communication network includes a digital infrastructure having a plurality of digital models of the one or more wind turbines, wherein the plurality of digital models of the one or more wind turbines are continuously updated during operation of the wind farm via data supplied by the farm-based first communication network.

Abstract: The present disclosure is directed to a digital twin interface for managing a wind farm having a plurality of wind turbines. The digital twin interface includes a graphical user interface (GUI) displaying a digital equivalent of the wind farm. For example, the digital equivalent of the wind farm includes environmental information and a digital representation of each of the wind turbines arranged in the wind farm. The interface also includes a control icon arranged with each of the digital representations of the wind turbines. In certain embodiments, the control icons of each wind turbine may correspond to a control dial. More specifically, the control icon of each digital representation of the wind turbines includes information regarding current and optimum operating conditions of the digital wind turbine. The interface also includes one or more control features configured to optimize performance of the wind farm.

Abstract: A Digital Power Plant (DPP) deployed on a cloud-based computer system that the enables all components and systems in a fleet of power plants. By digitally extending the various sub-systems in a power plant to the cloud-based computer system, the system enables the power plant or fleet to act and behave optimally with respect to a larger environment of an entire power generation grid.

Abstract: The present disclosure is directed to a digital twin interface for managing a wind farm having a plurality of wind turbines. The digital twin interface includes a graphical user interface (GUI) displaying a digital equivalent of the wind farm. For example, the digital equivalent of the wind farm includes environmental information and a digital representation of each of the wind turbines arranged in the wind farm. The interface also includes a control icon arranged with each of the digital representations of the wind turbines. In certain embodiments, the control icons of each wind turbine may correspond to a control dial. More specifically, the control icon of each digital representation of the wind turbines includes information regarding current and optimum operating conditions of the digital wind turbine. The interface also includes one or more control features configured to optimize performance of the wind farm.

Abstract: The present disclosure is directed to a digital system for managing a wind farm having a plurality of wind turbines electrically coupled to a power grid. The system includes a farm-based first communication network having one or more individual wind turbine control systems communicatively coupled to the one or more wind turbines and an overall wind farm control system. The system also includes a cloud-based second communication network communicatively coupled to the first communication network via an industrial gateway. The second communication network includes a digital infrastructure having a plurality of digital models of the one or more wind turbines, wherein the plurality of digital models of the one or more wind turbines are continuously updated during operation of the wind farm via data supplied by the farm-based first communication network.

Abstract: Systems and methods for analyzing and retrieving data from a monitoring system for monitoring a plurality of rotary machinery, such as turbines, is disclosed. A notification of an anomaly event is received from the monitoring system and tag data associated with the anomaly event is retrieved using a computer-implemented data retrieval tool. The tag data is stored at a central location and one or more objects are generated at the central location according to an event model. The one or more objects are stored as an event data object at the central location. The event data object is accessible by one or more client devices configured to render the one or more objects associated with the event data object in a graphical user interface.

Abstract: Disclosed herein are systems and methods for the assignment of therapeutic pathways to members of a network of oncology. The systems and methods allow for storage of disparate information in a database and determine a uniform semantics for all of the stored information. In addition, the systems and methods allow for the calculation of treatment pathways based on patient information as well as publicly-available information relating to particular diseases, and for the refinement of those treatment pathways as new information is added. Robot-assisted genomic labs permit automated genetic testing, which is integrated with the system.

Abstract: In the method, system conditions may be monitored for at least a first time period within a periodic time interval, and network parameters for optimizing a wireless network may be determined. The determined network parameters may be implemented during a first time period within the at least one subsequent periodic time interval.

Abstract: The technique for analyzing a live wireless network (20) includes repeatedly alternating (54, 60) between a baseline network configuration (52, 58, 64) and a trial network configuration (56, 62) a plurality of times within a twenty-four hour period. A disclosed example includes repeatedly alternating between the baseline network configuration and the trial network configuration such that each network configuration is used for a sample period that lasts about one hour. In one example, the pattern of alternating between the trial and baseline network configurations is determined randomly while in another example each network configuration is used in a preselected pattern such as every other hour.

Abstract: In the method, system conditions may be monitored for at least a first time period within a periodic time interval, and network parameters for optimizing a wireless network may be determined. The determined network parameters may be implemented during a first time period within the at least one subsequent periodic time interval.