Adapting the Operation of an Appliance

• US 20130226849A1
• Filed: 06/23/2011
• Published: 08/29/2013
• Est. Priority Date: 06/29/2010
• Status: Active Grant

• Current Assignee: Orange S.A.
• Original Assignee: Orange S.A.
• Inventors: Benazzouz, Yazid, Ramparany, Fano, Gadeyne, Jrmie, Beaune, Philippe
• Granted Patent: US 10,867,254 B2
• Time in Patent Office: Days
• US Class Current: 706/14
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 12/282 based on user interaction within the home receiver circuitry for displaying additional information being controlled by a remote control apparatus H04N21/42204
• CPC Class Codes: H04L 12/2829 involving user profiles according to which the execution of a home appliance functionality is automatically triggered

Abstract

A method for adapting the operation of an apparatus connected to a network deployed in an environment, including the steps of: collecting data relating to the environment from a plurality of sources; identifying usual environmental situations from an analysis of the collected data; detecting a deviation from at least one identified usual situation; and sending a control to the apparatus for adapting the operation thereof to the detected deviation.

Claims

1. A method of adapting the operation of an appliance connected to a network deployed in an environment, wherein the method comprises the following steps implemented by a central element:

collecting data relating to the environment and coming from a plurality of sources;

identifying regular situations of the environment on the basis of an analysis of the collected data;

detecting deviation from at least one identified regular situation; and

sending a command to the appliance to cause it to adapt its operations to the detected deviation.

2. The adaptation method according to claim 1, wherein the sources comprise sensors deployed in the environment, and/or local and/or remote services, and/or local and/or remote applications.

3. The adaptation method according to claim 1, wherein the collected data is represented using a single model.

4. The adaptation method according to claim 1, wherein the step of identifying regular situations of the environment uses a data clustering technique.

5. The adaptation method according to claim 1, wherein the method includes a step of matching identified regular situations with the appliance.

6. The adaptation method according to claim 1, wherein the step of detecting deviation includes a substep of comparing collected data with regular situation data and relative to at least one threshold.

7. The adaptation method according to claim 1, wherein the method further comprises:

a step of receiving modification data from a user for modifying the adaptation command; and

a step of correcting identified regular situations after receiving modification data.

8. The adaptation method according to claim 1, wherein the method further comprises a prior step of self-configuring the central element and the sources.

9. A system for adapting the operation of an appliance connected to a network deployed in an environment, said system comprising a central element and a plurality of sources, wherein the central element is adapted to implement the steps of the adaptation method according to claim 1.

10. A computer program including instructions for implementing the method according to claim 1 when the program is executed by a processor.