Automatic Control Loop Searching

Patent metadata

Field	Value
Publication number	US-2021286818-A1
Application number	US-202016814232-A
Country	US
Kind code	A1
Filing date	Mar 10, 2020
Priority date	Mar 10, 2020
Publication date	Sep 16, 2021
Grant date	—

Abstract

Concepts and technologies disclosed herein are directed to automated control loop searching (“ACLS”). According to one aspect disclosed herein, an ACLS system can create a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop. The ACLS system can activate a control loop system that executes the control loop to yield the data as output. The ACLS system can detect the search pattern within data, and in response, the ACLS system can execute, based upon the search model, a search of the data. The ACLS system can collect search results of the search and select additional data from the search results.

First claim

1 . A method comprising:
creating, by an automated control loop searching (“ACLS”) system comprising a processor executing instructions, a search model, wherein the search model provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop; activating, by the ACLS system, a control loop system, wherein the control loop system executes the control loop to yield the data as output; detecting, by the ACLS system, the search pattern within the data; executing, by the ACLS system, based upon the search model, a search of the data; collecting, by the ACLS system, search results of the search; and selecting, by the ACLS system, additional data from the search results.

2 . The method of claim 1 , further comprising establishing, by the ACLS system, a policy.

3 . The method of claim 2 , wherein the policy comprises a searching policy that specifies a search distance.

4 . The method of claim 3 , further comprising evaluating the search to ensure the search distance is not exceeded.

5 . The method of claim 1 , further comprising:
storing, by the ACLS system, the search model in a database; retrieving, by the ACLS system, the search model from the database; and interpreting, by the ACLS system, the search model to determine the additional data to search for within the data.

6 . The method of claim 1 , further comprising determining whether a correlation exists among the search results, wherein the correlation is defined, at least in part, by correlation criteria; and
wherein selecting, by the ACLS system, the additional data from the search results comprises selecting the additional data from the search results based upon the correlation criteria.

7 . The method of claim 1 , further comprising:
formatting, by the ACLS system, the additional data; labeling, by the ACLS system, the additional data for use by an output system; and providing, by the ACLS system, the additional data to the output system.

8 . The method of claim 7 , wherein the output system comprises a machine learning system or a system operated by a user.

9 . A computer-readable storage medium comprising computer-executable instructions that, when executed by a processor of an automated control loop searching (“ACLS”) system, cause the processor to perform operations comprising:
creating a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop;
activating a control loop system, wherein the control loop system executes the control loop to yield the data as output;
detecting the search pattern within the data;
executing, based upon the search model, a search of the data;
collecting search results of the search; and
selecting additional data from the search results.

10 . The computer-readable storage medium of claim 9 , wherein the operations further comprise establishing a policy.

11 . The computer-readable storage medium of claim 10 , wherein the policy comprises a searching policy that specifies a search distance.

12 . The computer-readable storage medium of claim 11 , further comprising evaluating the search to ensure the search distance is not exceeded.

13 . The computer-readable storage medium of claim 9 , wherein the operations further comprise:
storing the search model in a database; retrieving the search model from the database; and interpreting the search model to determine the additional data to search for within the data.

14 . The computer-readable storage medium of claim 9 , wherein the operations further comprise determining whether a correlation exists among the search results, wherein the correlation is defined, at least in part, by correlation criteria; and wherein selecting the additional data from the search results comprises selecting the additional data from the search results based upon the correlation criteria.

15 . The computer-readable storage medium of claim 9 , wherein the operations further comprise:
formatting the additional data; labeling the additional data for use by an output system; and providing the additional data to the output system, wherein the output system comprises a machine learning system or a system operated by a user.

16 . An automated control loop searching (“ACLS”) system comprising:
a processor; and
a memory comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations comprising
creating a search model that provides high-level information regarding what the ACLS system should search for when a search pattern is detected within data that is output from execution of a control loop,
activating a control loop system, wherein the control loop system executes the control loop to yield the data as output,
detecting the search pattern within the data,
executing, based upon the search model, a search of the data,
collecting search results of the search, and
selecting additional data from the search results.

17 . The ACLS system of claim 16 , wherein the operations further comprise establishing a searching policy that specifies a search distance.

18 . The ACLS system of claim 17 , wherein the operations further comprise evaluating the search to ensure the search distance is not exceeded.

19 . The ACLS system of claim 16 , wherein the operations further comprise:
storing the search model in a database; retrieving the search model from the database; and interpreting the search model to determine the additional data to search for within the data.

20 . The ACLS system of claim 16 , wherein the operations further comprise determining whether a correlation exists among the search results, wherein the correlation is defined, at least in part, by correlation criteria; and wherein selecting the additional data from the search results comprises selecting the additional data from the search results based upon the correlation criteria.

Assignees

• At & T Ip I Lp

Inventors

• Aaron Jeffrey
• Fan James

Classifications

• G06F16/24542 Primary

  Plan optimisation · CPC title