LIGHT TIMEOUT OPTIMIZATION

• US 20120153868A1
• Filed: 12/20/2010
• Published: 06/21/2012
• Est. Priority Date: 12/20/2010
• Status: Active Grant

• Current Assignee: WTEC GmbH
• Original Assignee: Redwood Systems, Inc. (CommScope Holding Company, Inc.)
• Inventors: Gu, Xin, Gu, Kelvin, Nulu, Deepak
• Granted Patent: US 8,538,596 B2
• Time in Patent Office: Days
• US Class Current: 315/307
• CPC Class Codes: H05B 47/115 by determining the presence or movement of objects or living beings
• CPC Class Codes: H05B 47/13 by using passive infrared detectors
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

A lighting controller may optimize a timeout value of a lamp based on the goals of saving energy and providing occupant comfort. The lamp may illuminate a lighting area. The lighting controller may determine a false-negative rate for the lamp from sensor data that represents a frequency at which the lamp is timed out while the lighting area is occupied. The lighting controller may adjust the timeout value of the lamp over time so that the false-negative rate approaches a threshold false-negative rate. The false-negatives and occupancy periods may be detected from spikes in time distributions of motion data. The amount of energy that the lamp would consume at an increased timeout value of the lamp may be determined from motion data stored while the timeout value of the lamp is at an initial timeout value.

Claims

1. A lighting controller for optimizing a timeout value of a lamp, which illuminates a lighting area, the lighting controller comprising:

a memory comprising sensor data; and

an occupancy model configured to determine a false-negative rate for the lamp from the sensor data, the false-negative rate representing a frequency at which the lamp is timed out when the lighting area is occupied; and

a demand model configured to increase the timeout value of the lamp in response to the false-negative rate being above a threshold false-negative rate, and to decrease the timeout value of the lamp in response to the false-negative rate being below the threshold false-negative rate.

2. The lighting controller of claim 1, wherein the occupancy model is further configured to:

detect a plurality of motion trips from the sensor data, wherein each one of the motion trips occurs when motion is detected;

determine a plurality of durations from the motion trips, wherein each respective one of the durations is a time difference between two consecutive ones of the motion trips; and

determine the false-negative rate based on a frequency of the durations being within a predetermined time range, the predetermined time range including values larger than the timeout value of the lamp.

3. The lighting controller of claim 2, wherein the occupancy model is further configured to determine the false-negative rate based on the durations that are outside of the predetermined time range, the durations outside of the predetermined time range being caused by background motion trips.

4. The lighting controller of claim 2, wherein the occupancy model is further configured to determine which motion trips are not false-negatives based on spatial orientation information about a plurality of sensors that generated the motion trips.

5. The lighting controller of claim 2, wherein the occupancy model is further configured to exclude the motion trips caused by walk-through type motions from the determination of the durations.

6. The lighting controller of claim 1, wherein the occupancy model is further configured to:

maintain an occupancy count of the lighting area based on detection of entries to the lighting area and exits from the lighting area, wherein the occupancy model detects entries and exits from the sensor data; and

reduce the timeout value in response to a determination that the occupancy count of the lighting area becomes zero.

7. The lighting controller of claim 1, wherein:

the occupancy model is further configured to determine a first false-negative rate from the sensor data for a first light fixture that includes the lamp and a second false-negative rate for a second light fixture that operates independently of the first light fixture outside of the lighting area; and

the demand model is further configured to adjust a first timeout value of the first light fixture based on a comparison of the first false-negative rate with the threshold false-negative rate and to adjust a second timeout value of the second light fixture based on a comparison of the second false-negative rate with the threshold false-negative rate.

8. A tangible non-transitory computer-readable medium encoded with computer executable instructions that optimize a timeout value of a lamp that illuminates a lighting area, the computer executable instructions executable with a processor, the computer-readable medium comprising:

instructions executable to determine a false-negative rate for the lamp from sensor data, the false-negative rate including a frequency at which the lamp is timed out when the lighting area is occupied;

instructions executable to increase the timeout value of the lamp in response to a determination that the false-negative rate is above a threshold false-negative rate; and

instructions executable to decrease the timeout value of the lamp in response to a determination that the false-negative rate is below the threshold false-negative rate.

9. The tangible non-transitory computer-readable medium of claim 8, wherein the computer-readable medium further comprises instructions executable to override the timeout value in response to a determination that the lighting area is occupied during unscheduled usage time periods.

10. The tangible non-transitory computer-readable medium of claim 8, wherein the computer-readable medium further comprises instructions executable to set the timeout value depending on the time of day.

11. The tangible non-transitory computer-readable medium of claim 8, wherein the computer-readable medium further comprises instructions executable to set the threshold false-negative rate based on a space usage type of the lighting area.

12. The tangible non-transitory computer-readable medium of claim 8, wherein the computer-readable medium further comprises instructions executable to adjust the timeout value based on a current time at the lighting area being in an occupancy period.

13. The tangible non-transitory computer-readable medium of claim 8, wherein the computer-readable medium further comprises instructions executable to determine an occupancy period of the lighting area from a cluster of motion trips included in the sensor data.

14. The tangible non-transitory computer-readable medium of claim 8, wherein the false-negative rate is determined from an extrapolation of at least two timeout values and at least two corresponding previously determined false-negative rates.

15. A computer-implemented method to optimize a timeout value of a lamp that illuminates a lighting area, the method comprising:

determining a false-negative rate for the lamp from sensor data with a processor, the false-negative rate being a frequency at which the lamp is timed out when the lighting area is occupied;

increasing the timeout value of the lamp with the processor in response to the false-negative rate being above a threshold false-negative rate; and

decreasing the timeout value of the lamp with the processor in response to the false-negative rate being below the threshold false-negative rate.

16. The method of claim 15 further comprising keeping the false-negative rate substantially at the threshold false-negative rate by repeatedly determining the false-negative rate from the sensor data and adjusting the timeout value of the lamp depending on whether the false-negative rate is greater than or less than the threshold false-negative rate.

17. The method of claim 15, wherein increasing the timeout value comprises increasing the timeout value in response to the false-negative rate being above the threshold false-negative rate and in response to a determination that the lamp would consume an amount of energy that is below a threshold energy level if the timeout value increases.

18. The method of claim 15, wherein increasing the timeout value comprises increasing the timeout value in response to the false-negative rate being above the threshold false-negative rate and in response to a marginal decrease in the false-negative rate divided by a marginal increase in energy usage being below a threshold value.

19. The method of claim 15, wherein decreasing the timeout value of the lamp comprises determining a decreased timeout value with the processor by interpolating false-negatives rates previously determined from previously set timeout values.

20. The method of claim 15, wherein determining the false-negative rate from sensor data comprises weighting sensor data based on when the sensor data is received.

21. The method of claim 15 further comprising increasing the timeout value of the lamp in response to detecting a walk-and-stay motion.

22. The method of claim 15 further comprising decreasing the timeout value of the lamp in response to detecting a walk-through motion.

23. The method of claim 15 further comprising determining an amount of energy that the lamp would consume at an increased timeout value of the lamp from timestamps associated with motion trips stored while the timeout value of the lamp is an initial timeout value, the initial timeout value being less than the increased timeout value, wherein each one of the motion trips indicates motion in the lighting area is detected.

24. A computer-implemented method to optimize a timeout value of a lamp that illuminates a lighting area, the method comprising:

detecting a plurality of motion trips with a processor, wherein each one of the motion trips indicates motion in the lighting area is detected, and wherein a time at which the motion is detected is associated with each respective one of the motion trips;

determining a plurality of durations with the processor, wherein each respective one of the durations is a time difference between two consecutive detected motion trips;

determining how many of the durations are within a first time range with the processor, the first time range including values larger than the timeout value of the lamp;

determining how many of the durations are within a second time range with the processor for determination of background motion trips;

determining, with the processor, how many false-negatives occurred based on the determined number of durations in the first time range and the determined number of durations in the second time range, the false-negatives being an indication that the lamp is timed out while the lighting area is occupied; and

adjusting the timeout value of the lamp with the processor based on the determined number of the false-negatives.