Methods and systems for context based anomaly monitoring

Patent metadata

Field	Value
Publication number	US-9961496-B2
Application number	US-201615185178-A
Country	US
Kind code	B2
Filing date	Jun 17, 2016
Priority date	Jun 17, 2016
Publication date	May 1, 2018
Grant date	May 1, 2018

Abstract

Various embodiments include methods, and computing devices configured to implement the methods, for anomaly monitoring using context-based sensor output correlation. A computing device may obtain output of a first sensor and may determine that an anomaly is likely to occur based on the obtained output of the first sensor. The computing device may transmit a message indicating that the anomaly is likely to occur, causing receiving computing devices to begin logging output of sensors of the receiving computing devices. The computing device may determine whether the anomaly did occur. If the anomaly did occur, the computing device may transmit a sensor output request. Nearby computing devices may receive this sensor output request and may transmit collected sensor data to the first computing device. The first computing device may receive the sensor output collected by the various receiving devices and may correlate the first sensor output with the received sensor output.

First claim

What is claimed is:

1. A method of context-based monitoring of sensors, comprising:
obtaining, by a first computing device, an output of a first sensor;
determining, by the first computing device, whether an anomaly event is likely to occur based, at least in part, on the obtained output of the first sensor;
transmitting, prior to occurrence of the anomaly event, a message to at least a second computing device, wherein the message is configured to cause the at least second computing device to log output of sensors of the at least second computing device in response to determining that the anomaly event is likely to occur; and
transmitting, by the first computing device, a sensor output request in response to determining that the anomaly event occurred, wherein the sensor output request is configured to cause the at least second computing device to transmit, to the first computing device, sensor output data including the logged output of the sensors of the at least second computing device.

2. The method of claim 1 , further comprising:
determining, by the first computing device, whether the anomaly event occurred;
and
receiving, by the first computing device, sensor output data from the at least second computing device.

3. The method of claim 2 , further comprising:
correlating, by the first computing device, the output of the first sensor and sensor output data received from the at least second computing device; and
generating, by the first computing device, an incident report based, at least in part, on correlated sensor output.

4. The method of claim 3 , further comprising transmitting the generated incident report from the first computing device to a remote server.

5. The method of claim 3 , further comprising storing the generated incident report in a memory on the first computing device.

6. The method of claim 3 , further comprising transmitting the generated incident report to the at least second computing device.

7. The method of claim 1 , further comprising determining one or more types of sensor outputs likely to provide information relevant to the anomaly event determined likely to occur, wherein the transmitted message indicates one or more types of sensor outputs to be logged by the at least second computing device.

8. The method of claim 1 , wherein the transmitted message is broadcast for reception by nearby computing devices, including the at least second computing device.

9. The method of claim 1 , wherein the transmitted message is transmitted to computing devices, including the at least second computing device, determined by the first computing device to be likely to record, measure, have available, or be capable of providing sensor data relevant to the anomaly event.

10. The method of claim 1 , wherein the first computing device is within an automobile.

11. The method of claim 1 wherein determining, by the first computing device, that the anomaly event is likely to occur based, at least in part, on the obtained output of the first sensor comprises:
comparing, by the first computing device, the output of the first sensor to a behavior model.

12. A computing device, comprising:
a sensor;
a transceiver; and
a processor coupled to the sensor, and the transceiver, and configured with processor-executable instructions to perform operations comprising:
obtaining an output from the sensor;
determining whether an anomaly event is likely to occur based, at least in part, on the obtained output of the sensor;
transmitting, via the transceiver, prior to occurrence of the anomaly event, a message to at least a second computing device, wherein the message is configured to cause the at least second computing device to log output of sensors of the at least second computing device in response to determining that the anomaly event is likely to occur; and
transmitting a sensor output request in response to determining that the anomaly event occurred, wherein the sensor output request is configured to cause the at least second computing device to transmit, to the computing device, sensor output data including the logged output of the sensors of the at least second computing device.

13. The computing device of claim 12 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
determining whether the anomaly event occurred;
and
receiving sensor output data from the at least second computing device.

14. The computing device of claim 13 , wherein the processor is configured with processor-executable instructions to perform operations further comprising:
correlating the output of the first sensor and sensor output data received from the at least second computing device; and
generating an incident report based, at least in part, on correlated sensor output.

15. The computing device of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising transmitting the generated incident report to a remote server.

16. The computing device of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising storing the generated incident report in the memory.

17. The computing device of claim 14 , wherein the processor is configured with processor-executable instructions to perform operations further comprising transmitting the generated incident report to the at least second computing device.

18. The computing device of claim 12 , wherein the processor is configured with processor-executable instructions to perform operations further comprising determining one or more types of sensor outputs likely to provide information relevant to the anomaly event determined likely to occur, wherein the transmitted message indicates one or more types of sensor outputs to be logged by the at least second computing device.

19. The computing device of claim 12 , wherein the processor is configured with processor-executable instructions to perform operations such that the transmitted message is broadcast for reception by nearby computing devices, including the at least second computing device.

20. The computing device of claim 12 , wherein the processor is configured with processor-executable instructions to perform operations such that the transmitted message is transmitted to computing devices, including the at least second computing device, determined by the first computing device to be likely to record, measure, have available, or be capable of providing sensor data relevant to the anomaly event.

21. The computing device of claim 12 , wherein the computing device is within an automobile.

22. The computing device of claim 12 wherein the processor is configured with processor-executable instructions to perform operations such that determining that the anomaly event is likely to occur based, at least in part, on the obtained output of the sensor comprises comparing the output of the sensor to a behavior model.

23. A computing device, comprising:
means for obtaining an output from a sensor;
means for determining whether an anomaly event is likely to occur based, at least in part, on the obtained output of the sensor;
means for transmitting, prior to occurrence of the anomaly event, a message to at least a second computing device, wherein the message is configured to cause the at least second computing device to log output of sensors of the at least second computing device i

Assignees

• Qualcomm Inc

Inventors

• Ahmadzadeh Seyed Ali
• Das Saumitra Mohan
• Gupta Rajarshi
• Krishnamurthi Govindarajan

Classifications

• H04W4/80

  Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04W4/44

  for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H] · CPC title

• H04W4/023 Primary

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title

• H04W4/70

  Services for machine-to-machine communication [M2M] or machine type communication [MTC] · CPC title