Apparatus And Method For Tag Mapping With Industrial Machines

• US 20180129714A1
• Filed: 11/10/2016
• Published: 05/10/2018
• Est. Priority Date: 11/10/2016
• Status: Active Grant

• Current Assignee: GE Digital Holdings LLC (GE Aerospace)
• Original Assignee: General Electric Company
• Inventors: Saxena, Abhinav, Patel, Charmin, Abado, Shaddy, Hu, Xiaohui, Pandey, Achalesh
• Granted Patent: US 10,460,240 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/0428 Safety, monitoring G05B19/0423 takes precedence
• CPC Class Codes: G05B 19/12 using record carriers
• CPC Class Codes: G05B 19/41845 characterised by system universality, reconfigurability, modularity
• CPC Class Codes: G05B 2219/31166 Access data by name, object, stored in list, database
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

A system and method for associating equipment sensor tags with tags associated with analytic programs including embodiments that receive a list of equipment tag names and corresponding descriptions as well as a list of analytic tag names and descriptions. The equipment tag descriptions are normalized to create normalized equipment tag descriptions, and the analytic tag descriptions are normalized to create normalized analytic tag descriptions. A first matrix of vectors that associates content in a dictionary with aspects of the equipment tag names is created using corresponding normalized tag descriptions. A second matrix of vectors that associates the content in a dictionary with aspects of the normalized analytic tag description is created.

Claims

1. A method, comprising:

receiving a list of equipment tag names and descriptions, each of the equipment tag names being associated with one of a plurality of sensors associated with one or more industrial devices;

obtaining a list of analytic tag names and descriptions, each of the analytic tag names being associated with one or more of the plurality of sensors in the one or more industrial devices;

normalizing the equipment tag descriptions to create normalized equipment tag descriptions and normalizing the analytic tag descriptions to create normalized analytic tag descriptions;

creating a first matrix of vectors that associates dictionary contents with aspects of the normalized equipment tag descriptions;

creating a second matrix of vectors that associates dictionary contents with aspects of the normalized analytic tag descriptions;

comparing one or more of the vectors in the second matrix to one or more vectors in the first matrix to obtain a similarity measure between one or more normalized analytic tag names and one or more normalized equipment tag names;

determining whether to associate a normalized equipment tag name to an input of an analytic computer program based at least in part upon the comparing.

2. The method of claim 1, wherein the first matrix and the second matrix associate contents not in the dictionary with one or more analytic or equipment tag names.

3. The method of claim 1, wherein the dictionary is part of a knowledge base, and wherein portions of the knowledgebase are learning from the latest mapping and human input.

4. The method of claim 1, further comprising selectively updating the dictionary.

5. The method of claim 1, wherein the determining comprises presenting to a user a ranked list of equipment tag names ordered according to the similarity measures.

6. The method of claim 1, further comprising obtaining a second similarity measure between a parameter associated with each normalized analytic tag name and each normalized equipment tag name.

7. The method of claim 6, wherein the parameter relates to a measurement unit or one or more attributes of measurement associated with a tag.

8. The method of claim 7, further comprising obtaining an overall similarity measure based on the similarity measure and the second similarity measure.

9. The method of claim 1, wherein normalizing the equipment tag descriptions comprises at least one of:

automatically examining the syntax of the equipment tag names or accepting user input regarding the equipment tag names.

10. The method of claim 1, wherein normalizing the analytic tag descriptions comprises at least one of:

automatically examining the syntax of the analytic tag names or accepting user input regarding the analytic tag names.

11. The method of claim 1, wherein the similarity measures obtained by the comparing are stored in a third matrix.

12. An apparatus, comprising:

an interface with an input and an output, the input configured to receive a list of equipment tag names and descriptions, each of the equipment tag names being associated with one of a plurality of sensors associated with one or more machines, the input configured to receive a list of analytic tag names and descriptions, each of the analytic tag names being associated with one or more of the plurality of sensors in the one or more machines;

a database including a domain dictionary;

a control circuit coupled to the interface and the database, the control circuit configured to normalize the equipment tag descriptions, and to normalize the analytic tag descriptions, the control circuit configured to create a first matrix of vectors that associates content in a dictionary with aspects of the normalized equipment tag descriptions, and to create a second matrix of vectors that associates the content in the dictionary with aspects of the normalized analytic tag descriptions, the control circuit configured to compare one or more of the vectors in the second matrix to one or more vector in the first matrix to obtain a similarity measure between one or more normalized analytic tag names and one or more normalized equipment tag names, the control circuit configured to create a proposed mapping based upon the similarity measure, the control circuit configured to present the proposed mapping to a user in order to determine whether to associate a normalized equipment tag name to an analytic computer program.

13. The apparatus of claim 12, wherein the first matrix and the second matrix also associate content not in the dictionary with the tag names.

14. The apparatus of claim 12, wherein the control circuit is configured to selectively update the dictionary.

15. The apparatus of claim 12, wherein the control circuit is configured to present to a user a ranked list of equipment tag names in an order based on the similarity measures.

16. The apparatus of claim 12, wherein the control circuit is configured to obtain a second similarity measure between a parameter associated with one or more normalized analytic tag names and one or more normalized equipment tag names.

17. The apparatus of claim 16, wherein the parameter relates to a measurement unit or a tag description.

18. The apparatus of claim 16, wherein the control circuit is configured to obtain an overall similarity measure based on the similarity measure and the second similarity measure.

19. The apparatus of claim 12, wherein the normalized equipment tag descriptions are obtained based on at least one of the syntax of the equipment tag names or user input regarding the equipment tag names.

20. The apparatus of claim 12, wherein the normalized analytic tag descriptions are obtained by based on at least one of the syntax of the analytic tag names or user input regarding the analytic tag names.