OCCUPANCY SENSING SMART LIGHTING SYSTEM

• US 20170135177A1
• Filed: 06/16/2015
• Published: 05/11/2017
• Est. Priority Date: 06/20/2014
• Status: Active Grant

• Current Assignee: Rensselaer Polytechnic Institute
• Original Assignee: Rensselaer Polytechnic Institute
• Inventors: Wang, Quan, Zhang, Xinchi, Boyer, Kim L.
• Granted Patent: US 9,907,138 B2
• Time in Patent Office: Days
• CPC Class Codes: H05B 45/00 Circuit arrangements for operating light-emitting diodes [LED]
• CPC Class Codes: H05B 45/20 Controlling the colour of the light
• CPC Class Codes: H05B 47/115 by determining the presence or movement of objects or living beings
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A smart lighting system and method that estimates occupancy using perturbation-modulated light and distributed non-imaging color sensors. A system is disclosed that includes a plurality of non-imaging color sensors; a plurality of color controllable lights; a system that perturbs the color controllable lights within a space; a system that collects resulting color information from the non-imaging color sensors, and builds a light transport model based on collected color information; a system that estimates an occupancy pattern or distribution within a space; and an adjustment module that adjusts the color controllable lights based on the light transport model and a predefined control strategy.

Claims

1. A smart lighting system comprising:

a plurality of non-imaging color sensors;

a plurality of color controllable lights;

a system that perturbs the color controllable lights within a space;

a system that collects resulting color information from the non-imaging color sensors, and builds a light transport model based on collected color information;

a system that estimates an occupancy within a space; and

an adjustment module that adjusts the color controllable lights based on the light transport model and a predefined control strategy.

2. The system of claim 1, wherein the color controllable lights comprise light emitting diodes (LEDs).

3. The system of claim 2, wherein the LEDs include a plurality of color channels.

4. The system of claim 1, wherein the light transport model comprises a light transport matrix.

5. The system of claim 4, wherein the occupancy is estimated based on a classification methodology that utilizes supervised learning to evaluate data in the light transport matrix.

6. The system of claim 4, wherein the occupancy is estimated based on a three dimensional (3D) scene estimation method that identifies blocked light paths within the space.

7. The system of claim 4, wherein the occupancy is estimated based on an occupancy map estimation method that evaluates reflected light.

8. A method for controlling lighting in a space having a plurality of color sensors and a plurality of color controllable lights, the method comprising:

outputting control values to the color controllable lights to cause a base light to be generated within a space;

periodically outputting further control values to perturb the color controllable lights within the space;

collecting resulting color information from the color sensors;

building a light transport model based on the color information;

utilizing the light transport model to calculate an estimated occupancy of the space; and

adjusting the base light in response to the estimated occupancy and a predefined control strategy.

9. The method of claim 8, wherein the color controllable lights comprise light emitting diodes (LEDs).

10. The method of claim 9, wherein the LEDs include a plurality of color channels.

11. The method of claim 8, wherein the light transport model comprises a light transport matrix.

12. The method of claim 11, wherein the occupancy is estimated based on a classification methodology that utilizes supervised learning to evaluate data in the light transport matrix.

13. The method of claim 11, wherein the occupancy is estimated based on a three dimensional (3D) scene estimation method that identifies blocked light paths within the space.

14. The method of claim 11, wherein the occupancy is estimated based on an occupancy map estimation method that evaluates reflected light.

15. A lighting control system that adjusts a set of color controllable LED lights based on an estimated occupancy, the system comprising:

a lighting controller that outputs control values to the set of color controllable LED lights to generate a base light within the space and to cause perturbations to the base light;

a sensor data manager that receives sensed color information from a plurality of non-imaging color sensors located within the space;

a light transport modeler that stores the sensed color information and associated perturbation information in a light transport model; and

an occupancy estimation system that calculates an estimated occupancy of the space based on the light transport model, wherein the estimated occupancy is provided to the lighting controller to adjust the base light.

16. The lighting control system of claim 15, further comprising a strategy manager that includes a control strategy to further adjust the base light.

17. The lighting control system of claim 15, wherein the light transport model comprises a light transport matrix.

18. The lighting control system of claim 17, wherein the estimated occupancy is calculated based on supervised learning to evaluate data in the light transport matrix.

19. The lighting control system of claim 17, wherein the estimated occupancy is calculated based on an identification of blocked light paths within the space.

20. The lighting control system of claim 17, wherein the estimated occupancy is calculated based on reflected light within the space.