Method for detecting false alarm

• US 9,865,158 B2
• Filed: 03/29/2016
• Issued: 01/09/2018
• Est. Priority Date: 10/30/2015
• Status: Active Grant

• Current Assignee: Samsung SDS (China) Co., Ltd. (Samsung Group)
• Original Assignee: Samsung SDS (China) Co., Ltd. (Samsung Group)
• Inventors: Kang, Ji-Hoon, Kwon, Soon-Mok, Yoo, Dong-Ho, Park, Seong-Mi
• Primary Examiner(s): Nguyen, Hung T
• Application Number:
  US15/083,565
• Publication Number:
  US 20170124855A1
• Time in Patent Office: 651 Days
• Field of Search: 340506, 340587, 340588, 340589, 702182, 702185, 709220, 709223
• CPC Class Codes: G08B 29/185 Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system

Abstract

Disclosed is a method for detecting false alarm. The method includes receiving a measured value that is measured when an alarm is generated from a target for monitoring, measuring non-similarity between the measured value that is measured when the alarm is generated and a pre-stored normal pattern, measuring non-similarity between the measured value and pre-stored measured values related to a past false alarm if the non-similarity exceeds a predetermined threshold value and providing the generated alarm to a user if the non-similarity between the measure value and the pre-stored related values related to the past false alarm exceeds the predetermined threshold value.

Claims

1. A method for detecting a false alarm, comprising:

receiving from a target for monitoring a measured value indicating a status of the target that is measured when an alarm is generated;

measuring non-similarity between the measured value that is measured when the alarm is generated and a pre-stored normal pattern indicating normal alarm;

measuring non-similarity between the measured value and a first statistical pattern of pre-stored measured values related to a past false alarm based on a first statistical distance between the measured value and the first statistical pattern if the non-similarity exceeds a first predetermined threshold value; and

outputting the generated alarm if the non-similarity between the measure value and the pre-stored values related to the past false alarm exceeds a second predetermined threshold value.

2. The method of claim 1, wherein the measuring non-similarity between the measured value and the pre-stored normal pattern comprises updating the pre-stored normal pattern with the measured value that is measured when the alarm is generated if the non-similarity between the measure value and the pre-stored normal pattern is equal to or smaller than the first predetermined threshold value.

3. The method of claim 1, wherein the measuring non-similarity between the measured value and the first statistical pattern of the pre-stored measured values related to the past false alarm comprises:

generating the first statistical pattern of the pre-stored measured values related to the past false alarm;

measuring the first statistical distance between the statistical pattern and the measured value that is measured when the alarm is generated; and

determining that the measured value that is measured when the alarm is generated is non-similar to the first statistical pattern of the pre-stored measured values related to the past false alarm if the first statistical distance is greater than a third predetermined threshold value.

4. The method of claim 1, further comprising updating the pre-stored measured values related to the past false alarm if the non-similarity between the measured value that is measured when the alarm is generated and the first statistical pattern is equal to or smaller than the second predetermined threshold value.

5. The method of claim 4, wherein the updating the pre-stored measured values related to the past false alarm comprises updating the pre-stored measured values related to the past false alarm by reflecting the measured value that is measured when the alarm is generated in the pre-stored measured values related to the past false alarm.

6. The method of claim 1, wherein the measuring the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern comprises:

calculating a probability that the generated alarm is a false alarm; and

measuring the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern if the probability that the alarm is the false alarm exceeds a third predetermined threshold value.

7. A method for detecting a false alarm, comprising:

receiving from a target for monitoring a measured value indicating a status of the target that is measured when an alarm is generated;

measuring non-similarity between the measured value that is measured when the alarm is generated and a pre-stored normal pattern indicating a normal alarm;

classifying the measured value into a first statistical pattern of pre-stored measured values related to a past false alarm based on a first statistical distance between the measured value and the first statistical pattern or a second statistical pattern of pre-stored measured values related to a past normal alarm based on a second statistical distance between the measured value and the second statistical pattern if the non-similarity exceeds a first predetermined threshold value; and

outputting the alarm if the measured value that is measured when the alarm is generated is classified into the pre-stored measured values related to the past normal alarm.

8. The method of claim 7, wherein the measuring non-similarity between the measured value and the pre-stored normal pattern comprises updating the pre-stored normal pattern with the measured value that is measured when the alarm is generated if the non-similarity between the measure value and the pre-stored normal pattern is equal to or smaller than the first predetermined threshold value.

9. The method of claim 7, wherein the classifying the measured value into the first statistical pattern of the pre-stored measured values related to the past false alarm or the second statistical pattern of the pre-stored measured values related to the past normal alarm comprises:

generating the first statistical pattern that is a statistical pattern of the pre-stored measured values related to the past false alarm and the second statistical pattern that is a statistical pattern of the pre-stored measured values related to the past normal alarm;

measuring the first statistical distance between the measured value that is measured when the alarm is generated and the first statistical pattern and the second statistical distance between the measured value that is measured when the alarm is generated and the second statistical pattern; and

classifying the measured value that is measured when the alarm is generated so that the measured value belongs to the first statistical pattern or the second statistical pattern in accordance with the first measured statistical distance and the second measured statistical distance.

10. The method of claim 7, further comprising updating the pre-stored measured values related to the past false alarm if the non-similarity between the measured value that is measured when the alarm is generated and the first statistical pattern is equal to or smaller than the first predetermined threshold value.

11. The method of claim 10, wherein the updating the pre-stored measured values related to the past false alarm comprises updating the pre-stored measured values related to the past false alarm by reflecting the measured value that is measured when the alarm is generated in the pre-stored measured values related to the past false alarm.

12. The method of claim 7, wherein the measuring the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern comprises:

calculating a probability that the generated alarm is a false alarm; and

measuring the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern if the probability that the alarm is the false alarm exceeds a second predetermined threshold value.

13. An apparatus for detecting a false alarm comprising:

a normal pattern comparison unit configured to measure non-similarity between a measured value indicating a status of a target that is measured once an alarm is generated in a target for monitoring and a pre-stored normal pattern;

a false alarm filtering unit configured to measure non-similarity between the measured value and a first statistical pattern of pre-stored measured values related to a past false alarm based on a first statistical distance between the measured value and the first statistical pattern if the non-similarity exceeding a first predetermined threshold value; and

an alarm generation unit configured to provide the generated alarm to a user if the non-similarity between the measure value and the pre-stored related values related to the past false alarm exceeds a second predetermined threshold value.

14. The apparatus of claim 13, wherein the normal pattern comparison unit is further configured to update the pre-stored normal pattern with the measured value that is measured when the alarm is generated if the non-similarity between the measure value and the pre-stored normal pattern is equal to or smaller than the first predetermined threshold value.

15. The apparatus of claim 13, wherein the false alarm filtering unit is further configured to measure the first statistical distance between the first statistical pattern of the pre-stored measured values related to the past false alarm and the measured value measured when the alarm is generated, and to determine that the measured value that is measured when the alarm is generated is non-similar the first statistical pattern of to the pre-stored measured values related to the past false alarm if the first statistical distance is greater than a third predetermined threshold value.

16. The apparatus of claim 13, wherein the false alarm filtering unit is further configured to update the pre-stored measured values related to the past false alarm if the non-similarity between the measured value that is measured when the alarm is generated and the first statistical pattern is equal to or smaller than the second predetermined threshold value.

17. The apparatus of claim 13, further comprising a false alarm probability calculation unit configured to calculate a probability that the generated alarm is a false alarm,

wherein the normal pattern comparison unit measures the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern if the probability that the alarm is the false alarm exceeds a third predetermined threshold value.

18. An apparatus for detecting a false alarm comprising:

a normal pattern comparison unit configured to measure non-similarity between a measured value indicating a status of a target that is measured once an alarm is generated in a target for monitoring and a pre-stored normal pattern;

a classification unit configured to classify the measured value into a first statistical pattern of pre-stored measured values related to a past false alarm based on a first statistical distance between the measured value and the first statistical pattern or a second statistical pattern of pre-stored measured values related to a past normal alarm based on a second statistical distance between the measured value and the second statistical pattern if a first non-similarity exceeds a first predetermined threshold value; and

an alarm generation unit configured to output the alarm once the measured value that is measured when the alarm is generated is classified into the pre-stored measured values related to the past normal alarm.

19. The apparatus of claim 18, wherein the normal pattern comparison unit is further configured to update the pre-stored normal pattern with the measured value that is measured when the alarm is generated if the non-similarity between the measure value and the pre-stored normal pattern is equal to or smaller than the first predetermined threshold value.

20. The apparatus of claim 18, wherein the classification unit is further configured to measure the first statistical distance between the measured value that is measured when the alarm is generated and the first statistical pattern and the second statistical distance between the measured value that is measured when the alarm is generated and the second statistical pattern, and classifies the measured value that is measured when the alarm is generated so that the measured value belongs to the first statistical pattern or the second statistical pattern in accordance with the first measured statistical distance and the second measured statistical distance.

21. The apparatus of claim 18, wherein the classification unit is further configured to update the pre-stored measured values related to the past false alarm if the non-similarity between the measured value that is measured when the alarm is generated and the first statistical pattern is equal to or smaller than the first predetermined threshold value.

22. The apparatus of claim 18, further comprising a false alarm probability calculation unit configured to calculate a probability that the generated alarm is a false alarm,

wherein the normal pattern comparison unit measures the non-similarity between the measured value that is measured when the alarm is generated and the pre-stored normal pattern if the probability that the alarm is the false alarm exceeds a second predetermined threshold value.