Remote device control and energy monitoring by analyzing and applying rules

• US 9,933,766 B2
• Filed: 03/21/2016
• Issued: 04/03/2018
• Est. Priority Date: 05/18/2009
• Status: Active Grant

• Current Assignee: Alarm.com Inc. (Alarm.com Holdings, Inc.)
• Original Assignee: Alarm.com Inc. (Alarm.com Holdings, Inc.)
• Inventors: Trundle, Stephen Scott, Slavin, Alison Jane, Martin, Jean-Paul, Hutz, David James
• Primary Examiner(s): Lim, Steven
• Assistant Examiner(s): Ma, Kam
• Application Number:
  US15/076,165
• Publication Number:
  US 20160202677A1
• Time in Patent Office: 743 Days
• Field of Search: 3405391, 34053922, 34053926-53928, 3405393, 700 19, 700 20, 700275-278, 700291
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 11/523 for displaying temperature data
• CPC Class Codes: F24F 11/57 using telephone networks
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/65 for selecting an operating mode
• CPC Class Codes: F24F 2110/10 Temperature
• CPC Class Codes: F24F 2120/00 Control inputs relating to users or occupants
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2130/00 Control inputs relating to environmental factors not covered by group F24F2110/00
• CPC Class Codes: F24F 2130/10 Weather information or forecasts
• CPC Class Codes: F24F 2140/60 Energy consumption
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G08C 19/16 in which transmission is by pulses
• 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

Techniques are described for providing remote device (e.g., thermostat, lighting, appliance, etc.) control and/or energy monitoring. A system monitors sensor data captured by one or more sensors that sense attributes relevant to user presence at one or more monitored properties and status of one or more energy consuming devices associated with the one or more monitored properties. The system analyzes the monitored sensor data and the monitored device status with respect to a set of one or more rules and performs an operation related to controlling the one or more energy consuming devices based on the analysis of the monitored sensor data and the monitored device status with respect to the set of one or more rules.

Claims

1. A method for performing an operation related to controlling one or more energy consuming devices, the method comprising:

monitoring energy consumption data for multiple, different monitored properties;

monitoring sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties;

monitoring device status for one or more energy consuming devices associated with each of the multiple, different monitored properties;

evaluating, by at least one computer, the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties; and

based on evaluation results, providing an energy usage suggestion to at least one user associated with at least one of the multiple, different monitored properties,

wherein evaluating the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties comprises identifying an efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status, and

wherein providing the energy usage suggestion to at least one user associated with at least one of the multiple, different monitored properties comprises providing an energy usage suggestion to a user that is different than the efficient energy user based on energy usage of the efficient energy user.

2. The method of claim 1, further comprising:

identifying at least one criterion for selection of the multiple, different monitored properties to monitor; and

selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion.

3. The method of claim 2:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a geographic area criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the geographic area criterion, the multiple, different monitored properties within a geographic area defined by the geographic area criterion.

4. The method of claim 2:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a property type criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the property type criterion, the multiple, different monitored properties having a property type defined by the property type criterion.

5. The method of claim 2:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a climate criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the climate criterion, the multiple, different monitored properties located in a climate defined by the climate criterion.

6. The method of claim 2:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a social network criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the social network criterion, the multiple, different monitored properties associated with users in a social network defined by the social network criterion.

7. The method of claim 2:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a geographic area criterion, a property type criterion, and a climate criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the geographic area criterion, the property type criterion, and the climate criterion, the multiple, different monitored properties.

8. The method of claim 1:

wherein evaluating the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties comprises;

determining the energy usage of the efficient energy user by determining an energy usage profile for the efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status.

9. The method of claim 8:

wherein identifying an efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status comprises;

identifying an energy usage level of a monitored property based on the monitored energy consumption data;

identifying an activity level of the monitored property based on the monitored sensor data and the monitored device status, the activity level of the monitored property representing how frequently the monitored property is determined to be occupied based on the monitored sensor data and how frequently energy consuming devices are detected as being in use in the monitored property based on the monitored device status;

determining a ratio of the identified energy usage level of the monitored property and the identified activity level of the monitored property; and

identifying a user of the monitored property as the efficient energy user based on the determined ratio; and

wherein providing the energy usage suggestion to another user that is different than the efficient energy user comprises;

identifying another monitored property that has an activity level that is similar to the identified activity level of the monitored property and that has an energy usage level that is higher than the identified energy usage level of the monitored property; and

providing the energy usage suggestion to a user of the other monitored property.

10. A monitoring system comprising:

At least one processor; and

At least one non-transitory computer-readable storage medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising;

monitoring energy consumption data for multiple, different monitored properties;

monitoring sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties;

monitoring device status for one or more energy consuming devices associated with each of the multiple, different monitored properties;

evaluating the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties; and

based on evaluation results, providing an energy usage suggestion to at least one user associated with at least one of the multiple, different monitored properties,

wherein evaluating the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties comprises identifying an efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status, and

wherein providing the energy usage suggestion to at least one user associated with at least one of the multiple, different monitored properties comprises providing an energy usage suggestion to a user that is different than the efficient energy user based on energy usage of the efficient energy user.

11. The monitoring system of claim 10, wherein the operations further comprise:

identifying at least one criterion for selection of the multiple, different monitored properties to monitor; and

selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion.

12. The monitoring system of claim 11:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a geographic area criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the geographic area criterion, the multiple, different monitored properties within a geographic area defined by the geographic area criterion.

13. The monitoring system of claim 11:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a property type criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the property type criterion, the multiple, different monitored properties having a property type defined by the property type criterion.

14. The monitoring system of claim 11:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a climate criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the climate criterion, the multiple, different monitored properties located in a climate defined by the climate criterion.

15. The monitoring system of claim 11:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a social network criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the social network criterion, the multiple, different monitored properties associated with users in a social network defined by the social network criterion.

16. The monitoring system of claim 11:

wherein identifying at least one criterion for selection of the multiple, different monitored properties to monitor comprises identifying a geographic area criterion, a property type criterion, and a climate criterion; and

wherein selecting, from among available monitored properties, the multiple, different monitored properties based on the identified at least one criterion comprises selecting, from among available monitored properties and based on the geographic area criterion, the property type criterion, and the climate criterion, the multiple, different monitored properties.

17. The monitoring system of claim 10:

wherein evaluating the energy consumption data for the multiple, different monitored properties, the sensor data captured by one or more sensors that sense attributes relevant to user presence at each of the multiple, different monitored properties, and the device status for one or more energy consuming devices associated with each of the multiple, different monitored properties comprises;

determining the energy usage of the efficient energy user by determining an energy usage profile for the efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status.

18. The monitoring system of claim 17:

wherein identifying an efficient energy user based on the monitored energy consumption data, the monitored sensor data, and the monitored device status comprises;

identifying an energy usage level of a monitored property based on the monitored energy consumption data;

identifying an activity level of the monitored property based on the monitored sensor data and the monitored device status, the activity level of the monitored property representing how frequently the monitored property is determined to be occupied based on the monitored sensor data and how frequently energy consuming devices are detected as being in use in the monitored property based on the monitored device status;

determining a ratio of the identified energy usage level of the monitored property and the identified activity level of the monitored property; and

identifying a user of the monitored property as the efficient energy user based on the determined ratio; and

wherein providing the energy usage suggestion to another user that is different than the efficient energy user comprises;

identifying another monitored property that has an activity level that is similar to the identified activity level of the monitored property and that has an energy usage level that is higher than the identified energy usage level of the monitored property; and

providing the energy usage suggestion to a user of the other monitored property.