IP Library Granted Patent US 10,203,415
Granted Patent B2
US 10,203,415 · App. 14/964,486 · Granted Feb 12, 2019

Methods for topology and automatic neighborhood detection in lighting system

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,203,415
App. No.
14/964,486
Granted
Feb 12, 2019
Kind
B2
Abstract

Apparatuses and methods, the methods including installing a plurality of lighting fixtures, each of the lighting fixtures being installed at a location where they are to be operated and including at least one of a motion sensor and a global positioning system (GPS) device; receiving a signal from the plurality of lighting fixtures; storing a dataset including data representing the signals from the plurality of lighting fixtures; determining a correlation between the plurality of lighting fixtures and/or determining neighboring lighting fixtures for the plurality of lighting fixtures; and determining a topology of the installed lighting fixtures based on the determined correlation between the plurality of lighting fixtures.

Claims (53)

1. A method for installing and setting up a lighting system, the method comprising:

installing a plurality of lighting fixtures, each of the lighting fixtures being installed at a location where they are to be operated and comprising:

a housing;

a light source including at least one source of illumination disposed in the housing; and

a motion sensor disposed in or on the housing to sense a motion in a vicinity of the lighting fixture and to generate a signal in response to a detected motion by the motion sensor, the signal including an identifier of the lighting fixture;

receiving a signal, within at least one processor-enabled computing device, from the plurality of lighting fixtures detecting motion in the vicinity thereof;

storing a dataset, within the at least one processor-enabled computing device, including data representing the signals from the plurality of lighting fixtures;

determining a correlation, within the at least one processor-enabled computing device, between the plurality of lighting fixtures detecting a motion at a same time based on the received signals from the plurality of lighting fixtures, as represented in the dataset;

determining a topology of the installed lighting fixtures, within the at least one processor-enabled computing device, based on the determined correlation between the plurality of lighting fixtures;

determining a grouping of the installed lighting fixtures, within the at least one processor-enabled computing device, based on the determined topology of the installed light fixtures; and

sending a communication from the at least one processor-enabled computing device to enable each light fixture within the determined grouping of the installed lighting fixtures to operate in a similar manner.

2. The method of claim 1 , wherein the correlation represents a likelihood that a first lighting fixture and a second lighting fixture will detect the same motion from their respective installed location.

3. The method of claim 1 , wherein the correlation is expressed in as a probability coefficient.

4. The method of claim 1 , further comprising determining at least one of a commissioning and a lighting control scheme based on the determined topology of the installed lighting fixtures.

5. The method of claim 4 , wherein the lighting control scheme is automatically and adaptively determined.

6. The method of claim 1 , wherein the correlation is determined automatically in reply to at least a change to: the number of lighting fixtures included in the plurality of lighting fixtures, an operation of one or more of the plurality of lighting fixtures, a traffic density in the vicinity of the lighting fixtures, seasons, and ambient light in the vicinity of the lighting fixtures.

7. The method of claim 1 , wherein at least one signal indicative of each lighting fixture detecting motion is received and the dataset stores data representing the signals from each of the plurality of lighting fixtures.

8. The method of claim 1 , wherein the at least one processor-enabled computing device sends a communication to each light fixture within the determined grouping of the installed lighting fixtures to operate in a similar manner at the same time.

9. A method for installing and setting up a lighting system, the method comprising:

installing a plurality of lighting fixtures, each of the lighting fixtures being installed at a location where they are to be operated and comprising:

a housing;

a light source including at least one source of illumination disposed in the housing; and

a global positioning system (GPS) device disposed in or on the housing to transmit positioning data indicative of a location of the lighting fixture;

receiving a signal, within at least one processor-enabled computing device, from the plurality of lighting fixtures, the signal including the positioning data indicative of the location of each respective lighting fixture;

storing a dataset, within the at least one processor-enabled computing device, including data representing the location of the plurality of lighting fixtures;

determining neighboring lighting fixtures, within the at least one processor-enabled computing device, for the plurality of lighting fixtures based on a distance calculation based on the location of the plurality of lighting fixtures, as represented in the dataset;

determining a topology of the installed lighting fixtures, within the at least one processor-enabled computing device, based on the determined distances between the plurality of lighting fixtures;

grouping neighboring lighting fixtures into one or more neighborhoods within the at least one processor-enabled computing device; and

sending a communication from the at least one processor-enabled computing device to enable each light fixture grouped within the one or more neighborhoods to operate in a similar manner.

10. The method of claim 9 , wherein at least one signal indicative of the location of each respective lighting fixture motion is received prior to a determining of the neighboring lighting fixtures.

11. The method of claim 9 further comprising determining at least one of a commissioning and a lighting control scheme based on the determined topology of the installed lighting fixtures.

12. The method of claim 11 , wherein the lighting control scheme is automatically and adaptively determined.

13. The method of claim 9 , wherein the positioning data indicative of the location of each respective lighting fixture is expressed as values in a geographic coordinate system.

14. The method of claim 9 , wherein the at least one processor-enabled computing device comprises a centralized or de-centralized configured system.

15. The method of claim 9 , wherein the neighboring lighting fixtures for the plurality of lighting fixtures is determined automatically in reply to at least a change to: a number of lighting fixtures included in the plurality of lighting fixtures, an operation of one or more of the plurality of lighting fixtures, a traffic density in the vicinity of the lighting fixtures, a time of year, and ambient light in the vicinity of the lighting fixtures.

16. A method for installing and setting up a lighting system, the method comprising:

installing a plurality of lighting fixtures, each of the lighting fixtures being installed at a location where they are to be operated and comprising:

a housing;

a light source including at least one source of illumination disposed in the housing;

a motion sensor disposed in or on the housing to sense a motion in a vicinity of the lighting fixture and to generate a signal in response to a detected motion by the motion sensor, the signal including an identifier of the lighting fixture;

a global positioning system (GPS) device disposed in or on the housing to transmit positioning data indicative of a location of the lighting fixture;

receiving a signal, within at least one processor-enabled computing device, from the plurality of lighting fixtures detecting motion in the vicinity thereof;

receiving a signal, within the at least one processor-enabled computing device, from the plurality of lighting fixtures, the signal including the positioning data indicative of the location of each respective lighting fixture;

storing a dataset, within the at least one processor-enabled computing device, including data representing the signals from the plurality of lighting fixtures detecting motion in the vicinity thereof and data representing the location of the plurality of lighting fixtures;

determining a correlation, within the at least one processor-enabled computing device, between the plurality of lighting fixtures detecting a motion at a same time based on the received signals from the plurality of lighting fixtures, as represented in the dataset;

determining neighboring lighting fixtures, within the at least one processor-enabled computing device, for the plurality of lighting fixtures based on a distance calculation based on the location of the plurality of lighting fixtures, as represented in the dataset; and

determining a topology of the installed lighting fixtures, within the at least one processor-enabled computing device, based on the determined correlation between the plurality of lighting fixtures;

determining a grouping, within the at least one processor-enabled computing device, based on the determined topology of the installed light fixtures; and

sending a communication from the at least one processor-enabled computing device to enable each light fixture within the determined grouping of the installed lighting fixtures to operate in a similar manner.

17. The method of claim 16 , wherein the correlation represents a likelihood that a first lighting fixture and a second lighting fixture will detect the same motion from their respective installed location.

18. The method of claim 16 , further comprising determining at least one of a commissioning and a lighting control scheme based on the determined topology of the installed lighting fixtures.

19. The method of claim 18 , wherein the lighting control scheme is automatically and adaptively determined.

20. The method of claim 18 , wherein at least one signal indicative of each lighting fixture is received and the dataset stores data representing the signals from each of the plurality of lighting fixtures.

Assignments (8)
RELEASE OF SECURITY INTEREST Recorded Mar 17, 2022
From: ALLY BANK
To: CURRENT LIGHTING SOLUTIONS, LLC; FORUM, INC.
Reel/Frame 059392/0079 →
RELEASE OF SECURITY INTEREST Recorded Mar 17, 2022
From: ALLY BANK
To: CURRENT LIGHTING SOLUTIONS, LLC; FORUM, INC.
Reel/Frame 059432/0592 →
SECURITY AGREEMENT Recorded May 27, 2020
From: CURRENT LIGHTING SOLUTIONS, LLC
To: ALLY BANK, AS COLLATERAL AGENT
Reel/Frame 052763/0643 →
SECURITY AGREEMENT Recorded Jun 28, 2019
From: CURRENT LIGHTING SOLUTIONS, LLC
To: ALLY BANK, AS COLLATERAL AGENT
Reel/Frame 049672/0294 →
SECURITY AGREEMENT Recorded Jun 28, 2019
From: CURRENT LIGHTING SOLUTIONS, LLC
To: ALLY BANK, AS COLLATERAL AGENT
Reel/Frame 051047/0210 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2019
From: GENERAL ELECTRIC COMPANY
To: CURRENT LIGHTING SOLUTIONS, LLC F/K/A GE LIGHTING SOLUTIONS, LLC
Reel/Frame 048791/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2016
From: MAROS, ISTVAN; BATAI, ROLAND; TOROS, GABOR; KOVACS, TENIA ALEXANDRA; BOTH, TAMAS; VARJASI, TAMAS; HENCZ, GABOR CSABA
To: GE HUNGARY KFT.
Reel/Frame 037503/0181 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2016
From: GE HUNGARY KFT.
To: GENERAL ELECTRIC COMPANY
Reel/Frame 037503/0208 →