Anomaly detection systems and methods

Patent metadata

Field	Value
Publication number	US-11847900-B2
Application number	US-202117396183-A
Country	US
Kind code	B2
Filing date	Aug 6, 2021
Priority date	Jun 6, 2016
Publication date	Dec 19, 2023
Grant date	Dec 19, 2023

Abstract

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

First claim

What is claimed is:

1. A method for managing operational data associated with connected devices performed by a trusted analytics service system comprising a processor and a non-transitory computer-readable medium storing instructions that, when executed by the processor, cause the trusted analytics service system to perform the method, the method comprising:
receiving, from a first trusted component executing on a first connected device, first operational data associated with the first connected device, the first operational data being generated in accordance with at least a first policy enforced by the first trusted component;
receiving, from a second trusted component executing on a second connected device, second operational data associated with the second connected device, the second operational data generated in accordance with at least a second policy enforced by the second trusted component, the second policy being different, at least in part, from the first policy;
receiving data from a data service provider;
receiving, from a user system, a request to generate an operational data analytics message based, at least in part, on the first operational data, the second operational data, and the data from the service provider;
generating, using an analytics engine of the trusted analytics service system, an operational data analytics message based, at least in part, on a comparison between at least part of the first operational data and a model generated using at least part of the second operational data and at least part of the data from the data service provider; and
transmitting the operational data analytics message to the user system.

2. The method of claim 1 , wherein the operational data analytics message is generated in response to receiving the request.

3. The method of claim 1 , wherein the request to generate the operational data analytics message is generated by a personal agent application executing on the user system.

4. The method of claim 1 , wherein generating the operational data analytics message further comprises enforcing a third policy in connection with generating the operational data analytics message.

5. The method of claim 4 , wherein the method further comprises receiving policy information associated with the third policy from the user system.

6. The method of claim 4 , wherein the method further comprises receiving policy information associated with the third policy from a personal agent application executing on a device associated with an individual having control of at least one of the first connected device and the second connected device.

7. The method of claim 6 , wherein the user system comprises the device associated with the individual having control of at least one of the first connected device and the second connected device.

8. The method of claim 1 , wherein the first operational data comprises at least one of device sensor data, device command information, duty cycle information, and device set point information.

9. The method of claim 8 , wherein the first operational data comprises device sensor data, the device sensor data comprising at least one of data provided by an internal temperature sensor, an external temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a fluid level sensor, an atmospheric sensor, and an environmental sensor.

10. The method of claim 1 , wherein the second operational data comprises at least one of device sensor data, device command information, duty cycle information, and device set point information.

11. The method of claim 10 , wherein the second operational data comprises device sensor data, the device sensor data comprising at least one of data provided by an internal temperature sensor, an external temperature sensor, a humidity sensor, a current sensor, a voltage sensor, a fluid level sensor, an atmospheric sensor, and an environmental sensor.

12. The method of claim 1 , wherein the first connected device comprises at least one of a security system, a vehicle infotainment system, a streaming media device, a gaming device, an entertainment system, a networked lock, a connected thermostat, a connected furnace, a connected air conditioning system, an irrigation system, a water control system, a pump system, a utility meter, a network gateway, an activity sensor, a home alarm, a connected appliance, a connected vehicle, a mobile communication device, a wind turbine system, a solar panel system, and an industrial manufacturing system.

13. The method of claim 1 , wherein the second connected device comprises at least one of a security system, a vehicle infotainment system, a streaming media device, a gaming device, an entertainment system, a networked lock, a connected thermostat, a connected furnace, a connected air conditioning system, an irrigation system, a water control system, a pump system, a utility meter, a network gateway, an activity sensor, a home alarm, a connected appliance, a connected vehicle, a mobile communication device, a wind turbine system, a solar panel system, and an industrial manufacturing system.

14. The method of claim 1 , wherein the data received from the data service provider comprises weather data.

15. The method of claim 14 , wherein the weather data comprises weather forecast data.

16. The method of claim 1 , wherein receiving the first operational data comprises receiving the first operational data via a secure channel established, at least in part, by the first trusted component.

17. The method of claim 1 , wherein receiving the second operational data comprises receiving the second operational data via a secure channel established, at least in part, by the second trusted component.

18. The method of claim 1 , wherein the model comprises a machine learning model.

19. The method of claim 18 , wherein the machine learning model is trained using the at least part of the second operational data and the at least part of the data from the data service provider.

Assignees

• Intertrust Tech Corp

Inventors

• Maher David P
• Tamir Michael

Classifications

• G08B21/18 Primary

  Status alarms (G08B21/02 takes precedence) · CPC title

• G08B21/182

  Level alarms, e.g. alarms responsive to variables exceeding a threshold · CPC title

• G08B21/187

  Machine fault alarms · CPC title

• H04L63/1425 Primary

  Traffic logging, e.g. anomaly detection · CPC title

• H04L63/20

  for managing network security; network security policies in general (filtering policies H04L63/0227) · CPC title