Tag modeling within a decision, support, and reporting environment

• US 7,689,579 B2
• Filed: 11/19/2004
• Issued: 03/30/2010
• Est. Priority Date: 12/03/2003
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Ougarov, Andrei V., DeMesa, Jesse G.
• Primary Examiner(s): Wong; Don
• Assistant Examiner(s): XUE, BIN
• Application Number:
  US10/993,709
• Publication Number:
  US 20050143969A1
• Time in Patent Office: 1,957 Days
• Field of Search: 707/102, 715/744, 715/866, 719/315, 700/14
• US Class Current: 1/1
• CPC Class Codes: G06F 16/903 Querying for retrieval from the web G06F16/953
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A system and methods for retrieving and presenting data in a tag-based component environment. The disclosed system provides an efficient mechanism for associating point and non-point data using selected modeling approaches to organize and reference the data. The modeling approaches provide the ability generate customized retrieval routines that support reusable components incorporating direct and indirect referencing techniques.

Claims

1. A system for developing computer models for collection and display of data, the system comprising:

a component builder, executed by a processing device, that provides functionality for modeling component definitions that associate tag-based point data and first non-point data through inclusion in a joined table comprising both tag-based point data and first non-point data, wherein the tag-based point data comprises data collected from at least one addressable informational source and the first non-point data comprises context-defining data associated with the tag-based point data, said tag-based point data changing more frequently than said first non-point data;

a connection for defining a mechanism to utilize the first non-point data and other information to uniquely identify the data to be collected from the at least one addressable informational source, said tag-based point data being collected at a first frequency, said first non-point data being collected at a second frequency lower than the first frequency; and

a view builder that provides functionality for generating views that correspond to instantiations of the component definitions generated by the component builder specifying how the tag-based point data and the first non-point data are displayed;

wherein the component builder further provides functionality for associating second non-point data with the tag-based point data and the first non-point data within the modeled component definition, wherein the second non-point data is associated with a non-tag-based informational source;

wherein integration of the second non-point data of the non-tag-based informational source with the tag-based point data and the non-point data is facilitated by the modeled component definition;

wherein the joined table has a structure, and wherein the structure of the joined table allows the tag-based point data and the first non-point data contained therein to be associated with the second non-point data thereby facilitating data integration;

wherein the view builder further provides functionality for embedding at least one previously defined view within a second view such that the at least one previously defined view represents subcomponents of the second view; and

wherein the view builder further provides functionality for embedding at least one previously defined second view within a third view such that the at least one previously defined second view represents a subcomponent of the third view.

2. The system of claim 1 wherein, the instantiations of the component definitions are populated with point data and non-point data accessed from the joined table.

3. The system of claim 1 wherein, embedding of the at least one previously defined view within the second view provides a mechanism for reusable view generation.

4. The system of claim 1 wherein, the modeled component definitions are representative of logical associations of a plurality of addressable informational sources.

5. The system of claim 1 wherein, a selected modeled component definition represents a logical association of a plurality of addressable informational sources.

6. The system of claim 1 wherein, a plurality of addressable informational sources are associated with a plurality of modeled component definitions such that a selected view provides a mechanism to associate the tag-based point data and the first non-point data of the addressable informational sources.

7. The system of claim 1 wherein, the component builder further provides functionality for defining differential collection strategies for the tag-based point data and the first non-point data.

8. The system of claim 7 wherein, the differential collection strategies for the tag-based point data and the first non-point data differ with respect to frequency of collection.

9. The system of claim 7 wherein, the differential collection strategies for the tag-based point data and the first non-point data differ with respect to manner in which the tag-based point data and the first non-point data are collected.

10. The system of claim 1 wherein, the tag-based point data comprises operational data representative of at least one of:

monitoring, control, and reporting functions relating to operation of a selected back-end data source.

11. The system of claim 1 wherein, the tag-based point data reflects real-time values associated with the at least one addressable informational source.

25. The system of claim 1 wherein, the tag-based point data comprises data representative of at least one operational condition in a plant.

26. The system of claim 25 wherein, the data representative of an operational condition in a plant is updated at an update frequency.

27. The system of claim 25 wherein, the data representative of an operational condition in a plant comprises data representative of an operational condition of a component in an industrial plant.

28. The system of claim 27 wherein, the data representative of an operational condition of a component in an industrial plant is updated at an update frequency.

29. The system of claim 27 wherein, the data representative of an operational condition of a component in an industrial plant comprises a numerical value.

30. The system of claim 29 wherein, the numerical value is updated at an update frequency.

31. The system of claim 25 wherein, the context-defining data associated with the tag-based point data comprises data representative of at least one operational limit.

32. The system of claim 30 wherein, the context-defining data associated with the tag-based point data comprises context-defining data associated with the component.

33. The system of claim 32 wherein, the context-defining data associated with the component comprises data representative of an operational limit for the component.

34. The system of claim 32 wherein, the context-defining data associated with the component is not updated at the update frequency.

35. The system of claim 1 wherein the connection comprises a field, the first non-point data comprises a field, the data to be collected from the at one addressable information source comprises a value to be collected from the at one addressable information source, and wherein the field of the connection and the field of the first non-point data uniquely identify the value to be collected from the at one addressable information source.

12. A method of generating a computer model for collection and display of aggregated point data and non-point data, the method comprising:

defining a component definition representative of a collection of at least one point data element and at least one non-point data element;

instantiating, by processing apparatus, at least one instance of the component definition wherein each point data element of the instance is associated with selected point data from at least one point data source and each non-point data element of the instance is associated with selected non-point data to give context to the selected point data, wherein the selected point data comprises tag-based point data and wherein the selected non point data comprises first non-point data;

the instantiating the at least one instance including steps of;

collecting the selected point data from the at least one point data source by utilizing the selected non-point data and other information to uniquely identify the selected point data to be collected from the at least one point data source, the selected point data being collected at a first frequency, the selected non-point data being collected at a second frequency lower than the first frequency; and

populating a data structure with the selected non-point data and the selected point data collected from the at least one point data source;

defining at least one view for displaying selected point data and non-point data wherein the at least one view references a portion of the collection of at least one point data element and at least one non-point data element of the at least one instance to populate selected portions of the at least one view; and

associating second non-point data with the tag-based point data and the first non-point data, wherein the second non-point data is associated with a non-tag-based informational source;

wherein integration of the second non-point data of the non-tag-based informational source with the tag-based point data and the non-point data is facilitated by the component definition;

wherein the defining at least one view includes embedding at least one previously defined view within a second view such that the at least one previously defined view represents subcomponents of the second view; and

wherein the defining at least one view further includes embedding at least one previously defined second view within a third view such that the at least one previously defined second view represents a subcomponent of the third view.

13. The method of claim 12 wherein, the component definition further comprises tag-based point data and non-point data and non-tag-based non-point data.

14. The method of claim 13 wherein, the non-tag-based non-point data comprises data associated with at least one of:

human resource managements systems, customer relationship management systems, and enterprise resource planning systems.

15. The method of claim 13 wherein, the at least one view defines a logical association between selected tag-based data and selected non-tag-based data.

16. The method of claim 12 further comprising defining an extended component definition that incorporates at least one previously defined component definition thereby embedding at least a portion of the collection of at least one point data element and at least one non-point data element without explicit reference within the extended component definition.

17. The method of claim 16 wherein the extended component definition further incorporates at least one point data element and non-point data element without referencing a previously defined component definition.

36. The method of claim 12 further comprising displaying a first view of the at least one view.

18. A method of generating a computer model for collection and display of aggregated point data and non-point data, the method comprising:

defining a component collection representative of a collection of at least one point data reference and at least one non-point data reference;

accessing, by processing apparatus, point data associated with the at least one point data reference and non-point data associated with the at least one non-point data reference to define at least one view for displaying the point data and the non-point data, wherein the point data comprises tag-based point data and wherein the non point data comprises first non-point data, and wherein the at least one view includes a first view;

wherein accessing the point data and the non-point data to define the at least one view includes steps of;

collecting the point data from at least one addressable informational source by utilizing the non-point data and other information to uniquely identify the point data to be collected from the at least one addressable informational source, the point data being collected at a first frequency, the non-point data being collected at a second frequency lower than the first frequency;

populating a data structure with the non-point data and the point data collected from the at least one addressable informational source; and

accessing the point data and the non-point data that populate the data structure to define the at least one view for displaying the point data and the non-point data;

associating second non-point data with the tag-based point data and the first non-point data, wherein the second non-point data is associated with a non-tag-based informational source;

wherein integration of the second non-point data of the non-tag-based informational source with the tag-based point data and the non-point data is facilitated by the component definition;

embedding at least one previously defined view within a second view such that the at least one previously defined view represents subcomponents of the second view; and

embedding at least one previously defined second view within a third view such that the at least one previously defined second view represents a subcomponent of the third view.

19. The method of claim 18 wherein, the point data comprises data collected from at least one tag-based addressable informational source and the non-point data comprises context-defining data associated with the point data.

20. The method of claim 19 wherein, the point data comprises operational data representative of at least one of:

monitoring, control, and reporting functions relating to the operation of the at least one tag-based addressable informational source.

21. The method of claim 19 wherein, the point data reflects real-time values associated with the at least one tag-based addressable informational source.

22. The method of claim 19 wherein, the non-point data comprises at least one of:

relational, structural, attribute and documentational data providing context to at least a portion of the point data.

23. The method of claim 19 wherein, the view displays tag-based point data and non-point data in connection with selected non-tag-based non-point data.

24. The method of claim 23 wherein, the selected non-tag-based non-point data comprises data associated with at least one of:

human resource management systems, customer relationship management systems, and enterprise resource planning systems.

37. The method of claim 18 further comprising displaying a first view of the at least one view.