Smart trender for industrial control systems

Patent metadata

Field	Value
Publication number	US-2019287315-A1
Application number	US-201716301673-A
Country	US
Kind code	A1
Filing date	May 22, 2017
Priority date	May 24, 2016
Publication date	Sep 19, 2019
Grant date	—

Abstract

There are provided methods and devices for use with industrial control systems. For example, there is provided a method that can include acquiring data from a sensor associated with an industrial machine. The method can include determining, while acquiring the data, whether at least one condition is satisfied in the data. Furthermore, the method can include logging the data as a function of time and logging information associated with the at least one condition as a function of time, in response to the at least one condition being satisfied. The method can also querying the logged information, subsequent to logging the data, to identify subsets of the data for which the at least one condition is satisfied.

First claim

What is claimed is:

1 . A method for use by a system coupled to at least one of a gas turbine and a combustor, the method comprising:
acquiring data from a sensor associated with at least one of the gas turbine and the combustor; determining whether at least one condition is satisfied in the data; logging the data as a function of time; logging information associated with the at least one condition as a function of time in response to the at least one condition being satisfied; and querying, by the system, subsequent to logging the data, the logged information to identify subsets of the data for which the at least one condition is satisfied.

2 . The method of claim 1 , wherein logging the data includes saving the data and time information associated therewith.

3 . The method of claim 1 , further comprising saving the data, the time information, and the information in at least one file.

4 . The method of claim 1 , wherein the querying includes comparing the logged information with the logged data.

5 . The method of claim 1 , further comprising identifying the subsets of the data by identifying time indices in the logged data that match with time indices of the logged information.

6 . The method of claim 1 , further comprising, subsequent to logging the data, determining time periods for which the at least one condition is satisfied.

7 . The method of claim 1 , further comprising, subsequent to logging the data, determining time periods for which the at least one condition and at least one other condition are satisfied.

8 . The method of claim 1 , further comprising forecasting, based on at least one subset of the data, a trend of at least one of the gas turbine and the combustor for a future period of time.

9 . The method of claim 1 , further comprising comparing at least one subset of the data with a corresponding subset of data associated with an industrial machine other than the gas turbine or the combustor.

10 . A non-transitory computer-readable medium, for use with a system coupled to at least one of a gas turbine and a combustor, the non-transitory computer-readable medium comprising instructions, which when executed by a processor, cause the processor to perform operations comprising:
acquiring data from a sensor associated with at least one of the gas turbine and the combustor; logging the data as a function of time; parsing the logged data, by the system, subsequent to logging the data and based on a rule set, to identify data subsets for which at least one condition is satisfied; and generating, based on the parsing, a database including time information associated with the logged data for which rules of the rule set are satisfied.

11 . The non-transitory computer-readable medium of claim 10 , wherein the operations further include querying, by the system, the database to identify the data subsets.

12 . The non-transitory computer-readable medium of claim 10 , wherein the operations further include determining, by querying the database, a time slice for which the at least one condition is satisfied.

13 . The non-transitory computer-readable medium of claim 10 , wherein the operations further include generating a forecast based on at least one data subset corresponding to the time information included in the database.

14 . The non-transitory computer-readable medium of claim 10 , wherein the forecast includes a predicted performance trend of at least one of the gas turbine and the combustor for a future time period.

15 . A controller for use in a system coupled to at least one of a gas turbine and a combustor, the controller comprising:
a processor; a memory including instructions that, when executed by the processor, cause the processor to perform operations comprising: receiving data from a sensor associated with at least one of the gas turbine and the combustor; determining whether at least one condition is satisfied in the data; logging the data as a function of time; logging information associated with the at least one condition as a function of time in response to the at least one condition being satisfied; and querying, subsequent to logging the data, the logged information to identify subsets of the data for which the at least one condition is satisfied.

16 . The controller of claim 15 , wherein the operations further include forecasting, based on at least one subset of the data, a trend of at least one of the gas turbine and the combustor for a future period of time.

17 . The controller of claim 15 , wherein the operations further include parsing the logged information based on a query for a specified condition being met.

18 . The controller of claim 15 , wherein the operations further include identifying subsets of the data for which the specified condition is met based on the parsing.

19 . The controller of claim 15 , wherein the querying further includes identifying subsets of the data for which the at least one condition and at least one other condition are satisfied.

20 . The controller of claim 15 , wherein the operations further include, based on the querying, determining time slices for which the at least one condition is satisfied.

21 . The method of claim 1 , wherein the querying is based on one of: (i) a first pseudo-natural language command inputted via a command prompt, (ii) a second pseudo-natural language command inputted through a visual interface, and (iii) a third pseudo-natural language command inputted via an external tool communicatively coupled to the system.

22 . The non-transitory computer-readable medium of claim 10 , wherein the parsing includes executing a query based on one of: (i) a first pseudo-natural language command inputted via a command prompt, (ii) a second pseudo-natural language command inputted through a visual interface, and (iii) a third pseudo-natural language command inputted via an external tool communicatively coupled to the system.

23 . The controller of claim 15 , wherein the querying is based on one of: (i) a first pseudo-natural language command inputted via a command prompt, (ii) a second pseudo-natural language command inputted through a visual interface, and (iii) a third pseudo-natural language command inputted via an external tool communicatively coupled to the system.

Assignees

• Nuovo Pignone Tecnologie Srl

Inventors

• Pretini Luca
• Bagni Gianni
• Baldassarre Antonio

Classifications

• G06F16/24522

  Translation of natural language queries to structured queries · CPC title

• G07C3/12 Primary

  in graphical form · CPC title

• G06F16/2477

  Temporal data queries · CPC title

• G07C3/00 Primary

  Registering or indicating the condition or the working of machines or other apparatus, other than vehicles · CPC title