METHOD AND APPARATUS TO MAP ANALYTICS TO EDGE DEVICES

• US 20160179912A1
• Filed: 12/17/2014
• Published: 06/23/2016
• Est. Priority Date: 12/17/2014
• Status: Abandoned Application

• Current Assignee: GE Intelligent Platforms Incorporated (Emerson Electric Company)
• Original Assignee: GE Intelligent Platforms Incorporated (Emerson Electric Company)
• Inventors: BOWMAN, Ward Linnscott, GOOCH, Chad, COURTNEY, Brian Scott, MATHUR, Sunil
• Application Number:
  US14/572,831
• Publication Number:
  US 20160179912A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/84 Mapping; Conversion

Abstract

Approaches are provided where, at a local computing device, time series data is received from an industrial component in a first format. This time series data additionally has a tag or identifier appended thereto and a quality setting. The tag is automatically converted to a descriptor used by an analytic system, and the time series data is converted to a format readable by the analytic system. This format is specified by at least a portion of an analytic system blueprint. The time series data is then transmitted to the analytic system such that the time series data and the descriptor are in a format that do not require additional conversions in order to be processed by the analytic system.

Claims

1. A method comprising:

at local computing device;

receiving time series data from an industrial component in a first format, the time series data having at least one of a tag, a value, and a quality;

automatically converting the tag to a descriptor used by an analytic system;

converting the time series data to a format readable by the analytic system, wherein the format is specified by at least a portion of an analytic system blueprint, and

transmitting the time series data to the analytic system such that the time series data and the descriptor are in a format that do not require additional conversions in order to be processed by the analytic system.

2. The method of claim 1, wherein the step of transmitting the time series data to the analytic system comprises transmitting the time series data to a remote processing device.

3. The method of claim 2, wherein the step of transmitting the time series data comprises transmitting to a remote networking device in the cloud.

4. The method of claim 1, wherein the steps of receiving time series data, automatically converting the tag, converting the time series data, and transmitting the time series data are performed periodically as specified by the analytic system blueprint.

5. The method of claim 1, further comprising the step of receiving the analytic system blueprint at the local computing device.

6. The method of claim 5, further comprising the step of manually mapping the tag to the descriptor used by the analytic system to perform an operation.

7. The method of claim 1, further comprising, at the analytic system, using the descriptor to identify a type of time series data being analyzed by the analytic system;

and

analyzing the time series data at the analytic system in accordance with the analytic system blueprint.

8. An apparatus comprising:

an interface having an input and an output; and

a processor coupled to the interface, the processor configured to receive time series data from an industrial component in a first format via the input, the time series data having a tag, automatically convert the tag to a descriptor used by an analytic system, convert the time series data to a format readable by the analytic system, wherein the format is specified by at least a portion of an analytic system blueprint, and transmit the time series data to the analytic system via the output such that the time series data and the tag are in a format that do not require additional conversions to be processed by the analytic system.

9. The apparatus of claim 8, further comprising a remote processing device configured to receive the time series data.

10. The apparatus of claim 9, wherein the remote processing device comprises a remote networking device accessible by the local computing device.

11. The apparatus of claim 8, wherein the processor is configured to receive the time series data, automatically convert the tag, convert the time series data, and transmit the time series data periodically as specified by the analytic system blueprint.

12. The apparatus of claim 8, wherein the apparatus is further configured to receive the analytic system blueprint via the input.

13. The apparatus of claim 12, wherein the processor is configured to manually map the tag to the descriptor used by the analytic system.

14. The apparatus of claim 8, wherein the processor is configured to receive time series data from at least one of a controller, an engine, a turbine, a pump, or an industrial control system.