Systems and methods for application reuse

• US 9,047,292 B2
• Filed: 03/07/2012
• Issued: 06/02/2015
• Est. Priority Date: 03/07/2012
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (GE Vernova, Inc.)
• Original Assignee: General Electric Company
• Inventors: Atamna, Youcef, Huynh, Minh Ngoc, Pool, Eric Thomas, Good, Andrew David
• Primary Examiner(s): Sough, H S
• Assistant Examiner(s): JORDAN, KIMBERLY L
• Application Number:
  US13/414,609
• Publication Number:
  US 20130239130A1
• Time in Patent Office: 1,182 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/113 Details of archiving lifecycle management in storage systems G06F3/0649; backup systems G06F11/1446
• CPC Class Codes: G06F 16/212 with details for data modelling support
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

System and methods are provided. In one embodiment, a system includes a master data archiver configured to store a data related to a turbomachine system and a first data collector service system configured to collect the data from the master data archiver. The system also includes a second data collector service system communicatively coupled to the first data collector service system and configured to pull or to push the data from the first data collector service system and a first data archiver configured to receive at least some of the data from the second data collector service system. The system further includes an asset model database storing a plurality of turbomachine tags, wherein the turbomachine tags are configured to categorize the data and a data access system (DAS) configured to provide data access to the first data archiver, the asset model database, or a combination thereof.

Claims

1. A system comprising:

a turbine system configured to produce an electric power by combusting a fuel;

a first processor configured to execute;

a master data archiver configured to store a data sensed via sensors disposed in the turbine system;

a first data collector service system configured to collect the data from the master data archiver;

a second data collector service system communicatively coupled to the first data collector service system and configured to pull or to push the data from the first data collector service system;

a second processor configured to execute;

a first data archiver configured to receive at least some of the data from the second data collector service system;

an asset model database storing a plurality of turbomachine tags, wherein the turbomachine tags are configured to categorize the data stored in the asset model database, wherein the data comprises a raw data and each of the plurality turbomachine tags is configured to transform the raw data into engineering units;

a data access system (DAS) configured to provide data access to the first data archiver, the asset model database, or a combination thereof, wherein the DAS is configured to transform the raw data into the engineering units by applying the turbomachine tags to the raw data;

an application programming interface (API) executable via a third processor, the API comprising a write-once compile anywhere (WOCA) object-oriented language and configured to provide a communicative interface to at least one of the DAS, the first data archiver, or the asset model database; and

an API wrapper executable via a fourth processor, the API wrapper configured to use the API to communicate with a write-once run anywhere (WORA) client application and at least one of the DAS, the first data archiver, or the asset model database.

2. The system of claim 1, wherein the WORA client application is written in a Java language.

3. The system of claim 2, wherein the API wrapper comprises a

Java Native Interface (JNI) configured to provide a translation mechanism between the API and the WORA client application.

4. The system of claim 1, wherein the WOCA object-oriented language comprises at least one of a C++, an Eiffel, an Objective-C, an object-oriented COBOL or a combination thereof.

5. The system of claim 1, comprising a second data archiver executable via the second processor and configured to receive at least some of the data from the second data collector service system, wherein the API is configured to provide a communicative interface to the second data archiver, and the API wrapper is configured to use the API to communicate with the second data archiver.

6. The system of claim 1, wherein the engineering units comprises at least one of a pressure, a flow rate, a speed, a vibration, a temperature, a clearance, or a combination thereof.

7. The system of claim 1, comprising a first computing device comprising the first processor and having the master data archiver and the first data collector service system, and a second computing device comprising the second processor having the first data archiver and the second data collector service system.

8. The system of claim 1, wherein the first data archiver comprises at least one of a relational database, a network database, a file, a noSQL database, or a combination thereof.

9. The system of claim 1, wherein the API wrapper comprises at least one of the following:

a Historian_getIHUConnection,

a Historian_getIHUMultiTagCurrentValue,

a Historian_getIHUMultiTagRawDataByTime,

a Historian_getIHUMultiTagInterpData,

a Historian_writeIHUMultiTagData,

a Historian_IHUDisconnect,

or a combination thereof.

10. A method, comprising:

storing a data sensed via sensors disposed in a turbine system in a master data archiver;

collecting the data from the master data archiver using a first data collector service system;

pushing or pulling the data from the first data collector service system to a second data collector service system;

storing at least some of the data from the second data collector service system in a first data archiver;

storing a plurality of turbomachine tags in an asset model database, wherein the turbomachine tags are configured to categorize the data stored in the asset model database, wherein the data comprises a raw data and each of the plurality turbomachine tags is configured to transform the raw data into engineering units;

providing data access to the first data archiver, the asset model database, or a combination thereof, by using a data access system (DAS), wherein the DAS is configured to transform the raw data into the engineering units by applying the turbomachine tags to the raw data;

communicating with the DAS, the first data archiver, the asset model database, or a combination thereof, by using an application programming interface (API) comprising a write-once compile anywhere (WOCA) object-oriented language; and

providing an API wrapper configured to use the API to communicate with a write-once run anywhere (WORA) client application and at least one of the DAS, the first data archiver, or the asset model database.

11. The method of claim 10, wherein the WORA client application is written in a Java language.

12. The method of claim 10, wherein the WOCA object-oriented language comprises at least one of a C++, an Eiffel, an Objective-C, an object-oriented COBOL or a combination thereof.

13. The method of claim 10, wherein the API wrapper comprises at least one of the following:

a Historian_getIHUConnection,

a Historian_getIHUMultiTagCurrentValue,

a Historian_getIHUMultiTagRawDataByTime,

a Historian_getIHUMultiTagInterpData,

a Historian_writeIHUMultiTagData,

a Historian_IHUDisconnect,

or a combination thereof.

14. A non-transitory tangible computer-readable medium comprising executable code, the code comprising instructions for:

storing a data sensed via sensors disposed in a turbine system in a master data archiver;

collecting the data from the master data archiver using a first data collector service system;

pushing or pulling the data from the first data collector service system to a second data collector service system;

storing at least some of the data from the second data collector service system in a first data archiver;

storing a plurality of turbomachine tags in an asset model database, wherein the turbomachine tags are configured to categorize the data stored in the asset model database, wherein the data comprises a raw data and each of the plurality turbomachine tags is configured to transform the raw data into engineering units;

providing data access to the first data archiver, the asset model database, or a combination thereof, by using a data access system (DAS), wherein the DAS is configured to transform the raw data into the engineering units by applying the turbomachine tags to the raw data;

communicating with at least one of the DAS, the first data archiver, the asset model database, or a combination thereof, by using an application programming interface (API) comprising a write-once compile anywhere (WOCA) object-oriented language; and

communicating with at least one of the DAS, the first data archiver, the asset model database, or a combination thereof, by using an API wrapper configured to use the API to communicate with a write-once run anywhere (WORA) client application and at least one of the DAS, the first data archiver, or the asset model database.

15. The non-transitory tangible computer-readable medium of claim 14, wherein the WOCA object-oriented language comprises at least one of a C++, an Eiffel, an Objective-C, an object-oriented COBOL, or a combination thereof.

16. The non-transitory tangible computer-readable medium of claim 14, wherein the API wrapper comprises a Java Native Interface (JNI) configured to provide a translation mechanism between the API and the WORA client application.

17. The non-transitory tangible computer-readable medium of claim 14, wherein the instructions for communicating with the at least one of the DAS, the first data archiver, the asset model database, or a combination thereof, by using the API wrapper comprise instructions for using at least one of the following:

a Historian_getIHUConnection,

a Historian_getIHUMultiTagCurrentValue,

a Historian_getIHUMultiTagRawDataByTime,

a Historian_getIHUMultiTagInterpData,

a Historian_writeIHUMultiTagData,

a Historian_IHUDisconnect,

or a combination thereof.

18. The non-transitory tangible computer-readable medium of claim 17, wherein the instructions for using the Historian_getIHUMultiTagRawDataByTime comprise instructions for:

initializing parameters;

deciding if a current retry count is less than or equal to a maximum retry value;

calling an ihuReadMultiTagRawDataByTime included in the API and configured to provide sample data based on a name included in the turbomachine tag; and

,

if the API call is successful and the sample data is greater than zero, then creating a Java Native Interface (JNI) jobjectArray, querying a data type for the sample data, data casting a data cast value based on the data type, storing the data cast value in the jobjectArray, and performing a data cleanup.

19. The non-transitory tangible computer-readable medium of claim 17, wherein the instructions for using the Historian_writeIHUMultiTagData comprise instructions for:

initializing parameters;

data casting values;

creating an API data array;

storing casted values in the API data array;

deciding if a current retry count is less than or equal to a maximum retry value;

calling an ihuWriteData included in the API and configured to write sample data based on a name included in the turbomachine tag; and

,

if the API call is successful then performing a data cleanup.