Systems and methods for dynamically grouping data analysis content
A method for grouping content displayed on a graphical user interface may include displaying selectable components that correspond to types of measurement data associated with a device or a component within the device. The method may then include receiving a selection of one of the selectable components, such that the one of the selectable components corresponds to a portion of the measurement data. The method may then receive a grouping mode input to specify characteristics for display of the portion of the data as data processing outputs. The method may then include displaying the data processing outputs associated with the selection, such that each respective data processing output may include visualizations associated with datasets of the portion of the measurement data. The respective visualizations of the respective data processing output may be displayed together based on an association between the respective datasets and the grouping mode input.
1. A system, comprising:
a processor configured to receive a plurality of datasets in real time, each dataset of the plurality of datasets further comprising a plurality of measurement points associated with a device or one or more components within the device, wherein the device is configured to operate in an industrial environment, and wherein the plurality of datasets is acquired from a plurality of sensors disposed on the device or the one or more components of the device; and
a graphical user interface (GUI), wherein the GUI includes an applicable content workspace displaying a plurality of data analysis workspaces, the GUI configured to:
receive a component selection in a hierarchical list provided within the GUI, the component selection specifying a component of the device and a bearing of the component,
receive a measurement type selection from a list of measurement types provided in a measurement data space within the GUI, the list of measurement types associated with one or more measurement points of the component and the bearing, wherein the measurement type selection specifies a measurement type associated with the component and the bearing,
receive a grouping mode input configured to specify grouping a first dataset of measurement points associated with the component and a second dataset of measurement points associated with the bearing in a first data analysis workspace, wherein the grouping mode input is configured to group at least two datasets that pertain to a particular measurement point together within at least one data analysis workspace,
generate at least one two data analysis workspaces within the applicable content workspace based on a measurement point order associated with the first dataset, the second dataset and the grouping mode input, wherein the at least one data analysis workspace includes a first visualization associated with the first dataset and a second visualization associated with the second dataset, and
display the first visualization and the second visualization within the at least one data analysis workspace upon receiving the grouping mode input, wherein the first visualization and the second visualization include a plurality of plots configured to illustrate various trends in the plurality of measurement points, spectrum information related to the plurality of measurement points, a plurality of historical values of the plurality of measurement points, one or more changes in the plurality of measurement points over time, of any combination thereof.
2. The system of claim 1 , wherein the grouping mode input comprises a grouping by a type of device, by a type of component of the device, or any combination thereof.
3. The system of claim 1 , wherein the device comprises a gasifier, a gas treatment unit, a machine, a motor, a gas turbine, a heat exchanger, a pump, a compressor, a fan, a generator, a steam turbine, a wind turbine, piping, or any combination thereof.
4. The system of claim 1 , wherein the one or more components comprise one or more parts of the device.
5. The system of claim 1 , wherein the one or more sensors comprise temperature sensors, current sensors, voltage sensors, pressure sensors, displacement sensors, vibration sensors, velocity sensors, acceleration sensors, torque sensors, flow sensors, clearance sensors, gas composition sensors, speed sensors, emissions sensors, or any combination thereof.
6. A non-transitory computer-readable medium comprising machine-readable instructions executable by a processor, wherein the machine-readable instructions are configured to cause the processor to:
receive a plurality of datasets in real time, from a plurality of measurement points associated with a device or one or more components within the device, wherein the device is configured to operate in an industrial environment, and wherein the plurality of datasets is acquired from a plurality of sensors disposed on the device or the one or more components of the device;
receive a component selection in a hierarchical list provided within the GUI, the component selection specifying a component of the device and a bearing of the component,
receive a measurement type selection from a list of measurement types provided in a measurement data space within the GUI, the list of measurement types associated with one or more measurement points of the component and the bearing, wherein the measurement type selection specifies a measurement type associated with the component and the bearing,
receive a grouping mode input configured to specify grouping a first dataset of measurement points associated with the component and a second dataset of measurement points associated with the bearing in a first data analysis workspace for display within at least one data analysis workspace included in a graphical user interface (GUI), wherein the GUI includes an applicable content workspace displaying a plurality of data analysis workspaces and wherein the grouping mode input is configured to group at least two datasets that pertain to a particular measurement point together within at least one data analysis workspace;
generate at least one data analysis workspace within the applicable content workspace based on a measurement point order associated with the first dataset and the second dataset and the grouping mode input, wherein the at least one data analysis workspace includes a first visualization associated with the first dataset and a second visualization associated with the second dataset; and
display the first visualization and the second visualization within the at least one data analysis workspace upon receiving the grouping mode input, wherein the first visualization and the second visualization include a plurality of plots configured to illustrate various trends in the plurality of measurement points, spectrum information related to the plurality of measurement points, a plurality of historical values of the plurality of measurement points, one or more changes in the plurality of measurement points over time, of any combination thereof.
7. The non-transitory computer readable-medium of claim 6 , wherein the grouping mode input comprises grouping by a device associated with the plurality of measurement points, grouping by a component associated with the plurality of measurement points, wherein the component is part of the device, or any combination thereof.
8. The non-transitory computer readable-medium of claim 6 , wherein the at least one data processing output comprises one or more results of a data processing tool.
9. The non-transitory computer readable-medium of claim 6 , wherein the plurality of plots includes at least one of a waveform plot, a spectrum plot, an orbit plot, a bode plot, a performance curve, a histogram, a bar graph, a circular plot, or a waterfall plot.
10. A method, comprising:
receiving a plurality of datasets in real time from a plurality of measurement points associated with a device or one or more components within the device, wherein the device is configured to operate in an industrial environment, and wherein the plurality of datasets is acquired from a plurality of sensors disposed on the device or the one or more components of the device;
receiving a component selection in a hierarchical list provided within the GUI, the component selection specifying a component of the device and a bearing of the component,
receiving a measurement type selection from a list of measurement types provided in a measurement data space within the GUI, the list of measurement types associated with one or more measurement points of the component and the bearing, wherein the measurement type selection specifies a measurement type associated with the component and the bearing,
receiving a grouping mode input configured to specify grouping a first dataset of measurement points associated with the component and a second dataset of measurement points associated with the bearing in a first data analysis workspace for display within at least one data analysis workspace included in a graphical user interface (GUI), wherein the GUI includes an applicable content workspace displaying a plurality of data analysis workspaces and wherein the grouping mode input is configured to group at least two datasets that pertain to a particular measurement point together within at least one data analysis workspace;
generating at least one data analysis workspace within the applicable content workspace based on a measurement point order associated with the first dataset and the second dataset and the grouping mode input, wherein the at least one data analysis workspace includes a first visualization associated with the first dataset and a second visualization associated with the second dataset; and
displaying the first visualization and the second visualization within the at least one data analysis workspace upon receiving the grouping mode input, wherein the first visualization and the second visualization include a plurality of plots configured to illustrate various trends in the plurality of measurement points, spectrum information related to the plurality of measurement points, a plurality of historical values of the plurality of measurement points, one or more changes in the plurality of measurement points over time, of any combination thereof.
11. The method of claim 10 , wherein the grouping mode input comprises a grouping by a type of device, by a type of component of the device, or any combination thereof.
12. The method of claim 10 , wherein the first visualization and the second visualization comprise at least two overlaid plot types, wherein the at least two overlaid plot types are generated based on the respective measurement points associated with at least four datasets, and wherein the respective measurement points associated with the at least four datasets correspond to the received grouping mode input.
13. The method of claim 10 , wherein the device comprises a gasifier, a gas treatment unit, a machine, a motor, a gas turbine, a heat exchanger, a pump, a compressor, a fan, a generator, a steam turbine, a wind turbine, piping, or any combination thereof.
14. The method of claim 10 , wherein the plurality of plots comprises at least one of a trend plot, a spectrum plot, a historical value plot, a waveform plot, an orbit plot, a bode plot, a compressor performance curve, a pump performance curve, a histogram, a bar graph, a shaft centerline plot, a circular plot, a waterfall plot, or any combination thereof.
15. The method of claim 10 , wherein the grouping mode input comprises a grouping by each measurement point of the plurality of measurement points.