SYSTEM FOR REDUCING ENERGY CONSUMPTION IN A BUILDING

• US 20130024029A1
• Filed: 12/27/2011
• Published: 01/24/2013
• Est. Priority Date: 05/24/2007
• Status: Abandoned Application

• Current Assignee: Clean Energy Management Solutions, LLC (Dominion Harbor Enterprises, LLC)
• Original Assignee: Bao Tran
• Inventors: Tran, Alexander Bach, Tran, Alan An-Thuan, Tran, Bao Q.
• Application Number:
  US13/338,225
• Publication Number:
  US 20130024029A1
• Time in Patent Office: Days
• US Class Current: 700/278
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A system to control energy consumption in a building having a plurality of rooms includes a processor; a lighting system providing light for illumination and data communication, the lighting system coupling the processor to a remote processor; and an air register including a motor coupled to the processor, the motor opening or closing one or more air vents in response to sensed motion or room temperature.

Claims

1. A system to control energy consumption in a building having a plurality of rooms, comprising:

a processor;

a lighting system to provide light for illumination of the room and for data communication to connect the processor to a remote processor; and

an air register including a motor coupled to the processor, the motor opening or closing one or more air vents in response to sensed motion or room temperature.

2. The system of claim 1, wherein the air register is closed when the room is empty.

3. The system of claim 1, comprising a smart meter coupled to the appliance, wherein the smart meter includes bi-directional communication, power measurement and management capability, software-controllable disconnect switch, and communication over low voltage power line.

4. The system of claim 1, comprising a thermostat to set room temperature.

5. The system of claim 4, wherein the thermostat wirelessly communicates with the data transceiver.

6. The system of claim 1, wherein the processor communicates with an online weather service for predicted weather condition.

7. The system of claim 1, wherein the processor pre-charges room temperature in response to a demand response signal or a predetermined pattern.

8. The system of claim 1, wherein the processor minimizes operating cost by shifting energy use to an off-peak period in response to utility pricing that varies energy cost by time of day.

9. The system of claim 1, comprising an energy harvester coupled to the processor.

10. The system of claim 9, wherein the energy harvester comprises a solar cell.

11. The system of claim 1, comprising a heating ventilation air conditioning (HVAC) device coupled to a rechargeable energy reservoir, wherein the reservoir is charged during a utility off-peak period and used to power the HVAC device during a utility peak pricing period.

12. The system of claim 1, comprising a recognizer coupled to the transceiver including one of:

a Hidden Markov Model (HMM) recognizer, a dynamic time warp (DTW) recognizer, a neural network, a fuzzy logic engine, a Bayesian network.

13. The system of claim 1, wherein the occupancy sensor comprises an analyzer to process an RSSI signal from the wireless data transceiver to detect occupancy in the area.

14. The system of claim 1, comprising a light emitting diode coupled to the processor to detect light, wherein the processor determines lighting profiles that incorporate time-based control with occupancy, daylighting, and manual control and wherein the processor integrates time-based lighting control with occupancy sensing control.

15. The system of claim 1, comprising a heater proximal to the air vent.

16. The system of claim 1, comprising an air conditioner or cooler proximal to the air vent.

17. The system of claim 1, comprising a fan proximal to the air vent.

18. The system of claim 1, comprising an air filter proximal to the air vent.

19. The system of claim 18, comprising one or more scent chemical reservoirs coupled to the air filter.

20. The system of claim 1, comprising a stereo system and a display to provide an immersive virtual reality experience.