Smart trender for industrial control systems

Patent metadata

Field	Value
Publication number	US-11983968-B2
Application number	US-201716301673-A
Country	US
Kind code	B2
Filing date	May 22, 2017
Priority date	May 24, 2016
Publication date	May 14, 2024
Grant date	May 14, 2024

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 one of the gas turbine and the combustor;
while acquiring data, determining whether a first condition is satisfied in the data;
if the first condition is not satisfied,
logging, in a first data file, the data as a function of time;

if the first condition is satisfied,
logging, in a second data file, the data as a function of time and information associated with the first condition, the information including a marker identifying the first condition and a time index;

after logging the data in the second data file, querying the second data file for the marker or the time index to identify a subset of the data, the subset of the data reflecting a second condition that is satisfied and logging the subset of the data in a third data file, wherein the second condition is different from the first condition; and
forecasting, based on the subset of the data, a predicted performance trend of one of the gas turbine and the combustor for a future time period.

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

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

4. The method of claim 1 , further comprising:
after logging the data, determining time periods for which the first condition is satisfied.

5. The method of claim 1 , further comprising:
after logging the data, determining time periods for which the first condition and the second condition are satisfied.

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

7. 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 one of the gas turbine and the combustor;
while acquiring data, determining whether a first condition is satisfied in the data;
if the first condition is not satisfied,
logging, in a first data file, the data as a function of time;

if the at least one condition is satisfied,
logging, in a second data file, the data as a function of time and information associated with the first condition, the information including a marker identifying the first condition and a time index;

after logging the data in the second data file, querying the second data file for the marker or the time index to identify data a subset of the data, the subset of the data reflecting a second condition that is satisfied and logging the subset of the data in a third data file, wherein the second condition is different from the first condition;
and
forecasting, based on the subset of the data, a predicted performance trend of one of the gas turbine and the combustor for a future time period.

8. The non-transitory computer-readable medium of claim 7 , wherein the operations further include determining, by querying the second data file and the third data file, a time slice for which the first condition or the second condition is satisfied.

9. 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 one of the gas turbine and the combustor;
while receiving data, determining whether a first condition is satisfied in the data;
if the first condition is not satisfied,
logging the data as a function of time;

if the at least one condition is satisfied,
logging, in a first data file, the data as a function of time and information associated with the first condition, the information including a marker identifying the first condition and a time index;

after logging the data tin the second data file, querying the second data file for the marker or the time index to identify a subset of the data, the subset reflecting a second condition that is satisfied and logging the subset of data in a third data file, wherein the second condition is different from the first condition; and
forecasting, based on the subset of the data, a predicted performance trend of one of the gas turbine and the combustor for a future time period.

10. The controller of claim 9 , wherein the operations further include, based on the querying the second data file and the third data file, determining time slices for which the first condition and the second condition is satisfied.

11. 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.

12. The non-transitory computer-readable medium of claim 7 , 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.

13. The controller of claim 9 , 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.

14. The method of claim 1 , wherein the querying includes multiple queries that are concatenated to form a single database access command configured to fetch or discriminate a plurality of conditions from the data.

15. The method of claim 1 , wherein the forecasting comprises extrapolating the predicted performance trend.

Assignees

• Nuovo Pignone Tecnologie Srl

Inventors

• Pretini Luca
• Bagni Gianni
• Baldassarre Antonio

Classifications

• G07C3/12 Primary

  in graphical form · CPC title

• G06F16/24522

  Translation of natural language queries to structured queries · 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