Alarm Management

• US 20130015967A1
• Filed: 07/15/2011
• Published: 01/17/2013
• Est. Priority Date: 07/15/2011
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (GE Vernova, Inc.)
• Original Assignee: General Electric Company
• Inventors: Nagathil, Roopesh Bhaskaran, Chadha, Rahul, Rivera, Rodel Belen Jr., Gawde, Prashant Ramkrishna
• Granted Patent: US 8,659,415 B2
• Time in Patent Office: Days
• US Class Current: 340/506
• CPC Class Codes: G05B 2219/31438 Priority, queue of alarms
• CPC Class Codes: G05B 23/0272 Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user

Abstract

Systems and methods for two-way secure data communication within critical infrastructures are usable to protect critical infrastructure information while allowing real-time monitoring and remote access. Such communication systems and methods can be used to protect critical data by, for example, providing a single point of access via unidirectional, serial, non-routable connections. Additionally, data flow may be controlled by a Web server that is not directly connected, and does not have direct access to, the critical information.

Claims

1. A system, comprising:

at least one memory that stores computer-executable instructions;

at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to;

receive, from an asset, data associated with a parameter of the asset and store the data in memory;

determine an impact value for the parameter based at least in part on a rule set; and

prepare the impact value for presentation.

2. The system of claim 1, wherein the asset is monitored and the data associated with the asset is collected via the monitoring at predefined intervals.

3. The system of claim 1, wherein the at least one processor is further configured to execute the computer-executable instructions to remove an outlier from the data associated with the parameter of the asset.

4. The system of claim 1, wherein the rule set is a bayesian belief network (BBN) rule set and/or a fuzzy logic rule set.

5. The system of claim 1, wherein the at least one processor is further configured to execute the computer-executable instructions to determine an alarm escalation value for eliminating impact values below a predefined threshold.

6. The system of claim 5, wherein the determination of an alarm escalation value comprises receipt, from an operator or monitor of the asset, of an alarm escalation rule.

7. The system of claim 6, wherein the alarm escalation rule provides the predefined threshold.

8. The system of claim 7, wherein impact values above the predefined threshold are prepared for presentation.

9. The system of claim 1, wherein the preparation of the impact value for presentation comprises prioritizing the impact value in relation to other impact values determined for other parameters of the asset.

10. A method, comprising:

receiving, from an asset, data associated with a parameter of the asset and storing the data in memory;

determining an impact value for the parameter based at least in part on a rule set; and

preparing the impact value for presentation.

11. The method of claim 10, wherein the asset is monitored and the data associated with the asset is collected at predefined intervals.

12. The method of claim 10, further comprising removing an outlier from the data associated with the parameter of the asset.

13. The method of claim 10, wherein the rule set is a bayesian belief network (BBN) rule set and/or a fuzzy logic rule set.

14. The method of claim 10, further comprising determining an alarm escalation value for eliminating impact values below a predefined threshold.

15. The method of claim 14, wherein determining an alarm escalation value comprises receiving, from an operator or monitor of the asset, an alarm escalation rule.

16. The method of claim 15, wherein the alarm escalation rule provides the predefined threshold.

17. The method of claim 16, wherein impact values above the predefined threshold are prepared for presentation.

18. The method of claim 10, wherein preparing the impact value for presentation comprises prioritizing the impact value in relation to other impact values determined for other parameters of the asset.

19. One or more computer-readable media storing computer-executable instructions that, when executed by at least one processor, configure the at least one processor to perform operations comprising:

receiving, from an asset, data associated with a parameter of the asset and storing the data in memory;

removing an outlier from the data associated with the parameter of the asset;

determining an impact value for the parameter based at least in part on a rule set;

determining an alarm escalation value for eliminating impact values below a predefined threshold; and

preparing the impact value for presentation.

20. The one or more computer-readable media of claim 19, wherein the rule set is a bayesian belief network (BBN) rule set and/or a fuzzy logic rule set.