Energy Management Based on Occupancy and Occupant Activity Level

• US 20150088272A1
• Filed: 09/22/2014
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Emerson Electric Company
• Original Assignee: Emerson Electric Company
• Inventors: Drew, David Scott
• Application Number:
  US14/492,189
• Publication Number:
  US 20150088272A1
• Time in Patent Office: Days
• US Class Current: 700/12
• 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 11/56 Remote control
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/14 Activity of occupants
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

In exemplary embodiments, methods and systems are disclosed for automating control of energy consuming devices. In an exemplary embodiment, a method generally includes analyzing wireless signal patterns inside a structure to detect motion, determining occupancy of the structure and occupant activity level based on the detected motion, and controlling operation of an energy consuming device based on the determined occupancy and occupant activity level.

Claims

1. A system-performed method of providing climate control in a structure having a thermostat connected with a network, the method comprising:

using the network, analyzing wireless signal patterns inside the structure to detect motion;

using the network, determining occupancy of the structure and occupant activity level based on the detected motion; and

using the network, controlling a set point of the thermostat based on the determined occupancy and occupant activity level.

2. The method of claim 1, wherein analyzing the wireless signal patterns comprises using Doppler shift of radio frequencies, including one or more of WiFi frequencies, Bluetooth frequencies, Z-wave frequencies, and/or Zigbee frequencies.

3. The method of claim 1, wherein the method comprises automatically changing the set point of the thermostat without direct user engagement based on the determined occupancy and occupant activity level.

4. The method of claim 1, wherein controlling includes setting the thermostat set point to a first value when it is determined that the structure is unoccupied, a second value when it is determined that an occupant is sleeping, and a third value when it is determined that an occupant is awake.

5. The method of claim 1, further comprising receiving user temperature preferences associated with occupancy and occupant activity level, and wherein controlling includes adjusting the thermostat set point based on the determined occupancy and occupant activity level and associated user temperature preferences.

6. The method of claim 1, further comprising storing a historical average occupant behavioral pattern based on occupancy and occupant activity level at different periods during the day.

7. The method of claim 1, further comprising:

changing settings of the thermostat based on input from a remote user device; and

providing information about energy usage to a user.

8. The method of claim 1, wherein:

the thermostat controls an HVAC unit which is a first energy consuming device; and

the method further comprises controlling a second energy consuming device based on the determined occupancy and occupant activity level.

9. The method of claim 8, wherein:

the second energy consuming device is a water heater including a control; and

the method further comprises automatically changing a setting of the control of the water heater without direct user engagement based on the determined occupancy and occupant activity level.

10. A system for providing climate control in a structure having a thermostat connected with a network, the system comprising one or more processors connected with the thermostat through the network and configured to:

analyze wireless signal patterns inside the structure to detect motion, the analyzing performed to determine occupancy of the structure and occupant activity level based on the detected motion; and

control a set point of the thermostat based on the determined occupancy and occupant activity level.

11. The system of claim 10, wherein the one or more processors are configured to use Doppler shift of WiFi frequencies to detect motion.

12. The system of claim 10, wherein the one or more processors are configured to automatically change the set point of the thermostat without direct user engagement based on the determined occupancy and occupant activity level.

13. The system of claim 10, wherein the one or more processors are configured to set the thermostat set point to a first value when it is determined that the structure is unoccupied, a second value when it is determined that an occupant is sleeping, and a third value when it is determined that an occupant is awake.

14. The system of claim 10, wherein:

the one or more processors are configured to receive user temperature preferences associated with occupancy and occupant activity level; and

the one or more processors are configured to adjust the thermostat set point based on occupancy and occupant activity level and associated user temperature preferences.

15. The system of claim 10, further comprising one or more memory storage units configured to store a historical average occupant behavioral pattern based on occupancy and occupant activity level at different periods during the day.

16. The system of claim 10, wherein:

the one or more processors are configured to communicate with one or more remote user devices;

the one or more processors are configured to change settings of the thermostat in response to requests from the one or more remote user devices; and

the one or more processors are configured to provide energy usage information to the one or more remote user devices.

17. The system of claim 10, wherein:

the thermostat is configured to control an HVAC unit which is a first energy consuming device; and

the system is configured to control a second energy saving device based on the determined occupancy and occupant activity level.

18. The system of claim 17, wherein:

the second energy saving device is a water heater including a control; and

the one or more processors are configured to automatically change a setting of the control of the water heater without direct user engagement based on the determined occupancy and occupant activity level.

19. A method for automating control of an energy consuming device, the method comprising:

analyzing wireless signal patterns inside a structure to detect motion by using Doppler shift of Wi-Fi frequencies;

determining occupancy of the structure and occupant activity level based on the detected motion; and

automatically controlling operation of the energy consuming device based on the determined occupancy and occupant activity level without direct user engagement.

20. The method of claim 19, wherein the method comprises:

automatically changing a setting of a control of the energy consuming device without direct user engagement based on the determined occupancy and occupant activity level; and

/or

automatically turning the energy consuming device on or off without direct user engagement based on the determined occupancy and occupant activity level.

21. The method of claim 19, wherein:

the energy consuming device comprises an HVAC system including a thermostat; and

the method comprising automatically controlling a set point of the thermostat based on the determined occupancy and occupant activity level.

22. The method of claim 19, further comprising receiving user preferences associated with occupancy and occupant activity level, and wherein controlling includes adjusting operation of the energy consuming device based on the determined occupancy and occupant activity level and associated user preferences.

23. The method of claim 19, further comprising:

storing a historical average occupant behavioral pattern based on occupancy and occupant activity level at different periods during the day; and

/or

changing settings of the energy consuming device based on input from a remote user device, and providing information about energy usage to a user; and

/or

controlling a second energy consuming device based on the determined occupancy and occupant activity level

24. The method of claim 19, wherein:

the energy consuming device is a water heater including a control; and

the method further comprises automatically changing a setting of the control of the water heater without direct user engagement based on the determined occupancy and occupant activity level.

25. A system for automating control of an energy consuming device, the system comprising one or more processors connected with a control of the energy consuming device and configured to:

analyze wireless signal patterns inside a structure to detect motion by using Doppler shift of Wi-Fi frequencies;

determine occupancy of the structure and occupant activity level based on the detected motion; and

automatically control operation of the energy consuming device based on the determined occupancy and occupant activity level without direct user engagement.

26. The system of claim 25, wherein:

the one or more processors are configured to automatically change a setting of a control of the energy consuming device without direct user engagement based on the determined occupancy and occupant activity level; and

/or

the one or more processors are configured to automatically turn the energy consuming device on or off without direct user engagement based on the determined occupancy and occupant activity level.

27. The system of claim 25, wherein:

the energy consuming device comprises an HVAC system including a thermostat, and the one or more processors are configured to automatically control a set point of the thermostat based on the determined occupancy and occupant activity level; and

/or

the one or more processors are configured to receive user preferences associated with occupancy and occupant activity level, and the one or more processors are configured to adjust operation of the energy consuming device based on the determined occupancy and occupant activity level and associated user temperature preferences.

28. The system of claim 25, further comprising one or more memory storage units configured to store a historical average occupant behavioral pattern based on occupancy and occupant activity level at different periods during the day.

29. The system of claim 25, wherein:

the one or more processors are configured to communicate with one or more remote user devices;

the one or more processors are configured to change settings of the energy consuming device in response to requests from the one or more remote user devices; and

the one or more processors are configured to provide energy usage information to the one or more remote user devices.

30. The system of claim 25, wherein:

the energy consuming device is a water heater including a control, and the one or more processors are configured to automatically change a setting of the control of the water heater without direct user engagement based on the determined occupancy and occupant activity level; and

/or

the system is configured to control a second energy consuming device based on the determined occupancy and occupant activity level.