IP Library Granted Patent US 12,216,965
Granted Patent B2
US 12,216,965 · App. 17/199,697 · Granted Feb 4, 2025

Technologies for collecting and virtually simulating circadian lighting data associated with a physical space

Inventor: Adam Lilien (Syracuse, NY)
Assignee: UL LLC
G06F30/13H05B47/11H05B47/125G06F2111/18
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Quick Facts
Patent No.
US 12,216,965
App. No.
17/199,697
Granted
Feb 4, 2025
Kind
B2
Abstract

Systems and methods for collecting and analyzing lighting conditions associated with a physical space in order to effect circadian-effective design. According to certain aspects, a data capture machine may include various sensors and components, such as at least one image sensor that captures digital images of a set of luminaires, at least one laser that detects physical objects as well as the location of the data capture machine in the physical space, a detector that collects a set of spectral power distribution (SPD) measurements, and a video capture device that collects images at a set of locations of the physical space. The data capture machine may aggregate the captured information and generate an electronic file that a computing device may use to present a visual representation of the lighting conditions of the physical space.

Claims (51)

1. A computer-implemented method for detecting lighting conditions within a physical space, the method comprising:

detecting, by a scanning device of a data capture machine, a set of readings indicating a presence of a set of physical objects located at a set of locations within the physical space;

capturing, by an image sensor of the data capture machine, a set of images depicting a set of luminaires located at the set of locations within the physical space;

capturing, by a recording device of the data capture machine, a set of lighting measurements respectively at the set of locations within the physical space;

aggregating, by a processor, the set of readings, the set of images, and the set of lighting measurements by associating the set of readings, the set of images, and the set of lighting measurements with the set of locations at which the set of readings, the set of images, and the set of lighting measurements were detected or captured; and

generating, by the processor using the set of readings, the set of images, and the set of lighting measurements that were aggregated, an electronic file, including:

generating a floorplan of the physical space using the set of readings that were captured,

adding, to the floorplan, a set of indications corresponding to the set of luminaires as depicted in the set of images, to generate a reflected ceiling plan,

adding, to the reflected ceiling plan, the set of lighting measurements, wherein the set of lighting measurements comprises spectral power distribution (SPD) measurements, and applying a set of calculations that convert the SPD measurements into circadian stimulus (CS) measurements at the set of locations.

2. The computer-implemented method of claim 1 , wherein capturing the set of lighting measurements comprises:

capturing, by the recording device of the data capture machine, a set of SPD measurements respectively at the set of locations.

3. The computer-implemented method of claim 1 , wherein the SPD measurements indicate a set of reflections off a set of components disposed within the physical space.

4. The computer-implemented method of claim 1 , further comprising:

converting the SPD measurements into melanopsin lux (ML) measurements corresponding to the set of locations.

5. The computer-implemented method of claim 1 , further comprising:

converting at least a portion of the set of lighting measurements into a circadian stimulus heat map indicating a goal attainment and depicting a set of colors according to the goal attainment.

6. The computer-implemented method of claim 1 , further comprising:

importing the electronic file into a design application; and

within the design application via a user interface, displaying a rendering of the set of lighting measurements within a virtual representation of the physical space.

7. The computer-implemented method of claim 6 , wherein displaying the rendering of the set of lighting measurements comprises:

displaying a heat map indicating the set of lighting measurements within the virtual representation of the physical space.

8. The computer-implemented method of claim 6 , further comprising:

receiving, via the user interface, a selection to locate a virtual luminaire at a virtual location within the virtual representation of the physical space, the virtual luminaire having a set of illumination characteristics; and

updating the virtual representation to include, at the virtual location, the virtual luminaire having the set of illumination characteristics.

9. The computer-implemented method of claim 8 , further comprising:

receiving, via the user interface, a selection to adjust the set of illumination characteristics of the virtual luminaire; and

updating the virtual representation to reflect the selection to adjust the set of illumination characteristics of the virtual luminaire.

10. The computer-implemented method of claim 9 , wherein updating the virtual representation comprises:

updating the virtual representation to reflect (i) an impact on a circadian stimulus (SC), and (ii) an impact on a melanopsin lux (ML).

11. The computer-implemented method of claim 6 , further comprising:

displaying, within the virtual representation, the set of indications corresponding to the set of luminaires.

12. The computer-implemented method of claim 1 , further comprising:

converting the set of readings captured by the scanning device into vector maps with geo-positioning capabilities.

13. A device for detecting lighting conditions within a physical space, comprising:

at least one image sensor configured to capture a set of digital images depicting a set of luminaires located at a set of locations within the physical space;

at least one laser configured to capture a set of readings indicating a presence of a set of physical objects located at the set of locations within the physical space;

a detector configured to collect a set of spectral power distribution (SPD) measurements respectively at the set of locations of the physical space; and

a processor interfacing with the at least one image sensor, the at least one laser, and the detector, and configured to:

aggregate the set of readings, the set of digital images, and the set of SPD measurements by associating the set of readings, the set of digital images, and the set of SPD measurements with the set of locations at which the set of readings, the set of digital images, and the set of SPD measurements were captured or collected, and

generate, using the set of readings, the set of digital images, and the set of SPD measurements that were aggregated, an electronic file, including:

generate, using the set of readings captured by the at least one laser, a floorplan of the physical space,

add, to the floorplan, a set of indications corresponding to the set of luminaires as depicted in the set of digital images, to generate a reflected ceiling plan

add, to the reflected ceiling plan, the set of SPD measurements, and apply a set of calculations that convert the set of SPD measurements into circadian stimulus (CS) measurements at the set of locations.

14. The device of claim 13 , wherein the processor is further configured to:

convert at least a portion of the set of SPD measurements into a circadian stimulus heat map indicating a goal attainment and depicting a set of colors according to the goal attainment.

15. The device of claim 13 , wherein the processor is further configured to:

import the electronic file into a design application, and

within the design application via a user interface, display a rendering of the set of SPD measurements within a virtual representation of the physical space.

16. The device of claim 15 , wherein the processor is further configured to:

receive, via the user interface, a selection to locate a virtual luminaire at a virtual location within the virtual representation of the physical space, the virtual luminaire having a set of illumination characteristics, and

update the virtual representation to include, at the virtual location, the virtual luminaire having the set of illumination characteristics.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 9, 2024
From: LILIEN, ADAM
To: UL LLC
Reel/Frame 067361/0991 →
Continuity (2)
Provisional Application 62988776 · Mar 12, 2020
Related Publication 20210286913A1 · Sep 16, 2021
References Cited (29)
US 9763306B2 · Sachs et al. · 2017 [cited by applicant]
US 9955551B2 · Spero · 2018 [cited by applicant]
US 10489968B1 · Livingston et al. · 2019 [cited by applicant]
US 10681792B2 · Hu · 2020 [cited by examiner]
US D892655S · Green et al. · 2020 [cited by applicant]
US 20060085170A1 · Glaser · 2006 [cited by examiner]
US 20170257925A1 · Forbis et al. · 2017 [cited by applicant]
US 20180043130A1 · Moore-Ede · 2018 [cited by examiner]
US 20180252374A1 · Keller et al. · 2018 [cited by applicant]
US 20180339127A1 · Van Reen et al. · 2018 [cited by applicant]
US 20190136618A1 · Hebeisen et al. · 2019 [cited by applicant]
US 20190209858A1 · Slaughter · 2019 [cited by examiner]
US 20210157958A1 · Hegazy · 2021 [cited by examiner]
US 20230367033A1 · Mitterhofer · 2023 [cited by examiner]
CN 110274602A · 2018 [cited by examiner]
CN 108181636B · 2018 [cited by examiner]
EP 2807526A1 · 2014 [cited by applicant]
EP 3113055A1 · 2017 [cited by applicant]
JP 2016136495A · 2016 [cited by applicant]
JP 201966056A · 2019 [cited by applicant]
KR 101792493B1 · 2017 [cited by applicant]
KR 1020190142095A · 2019 [cited by applicant]
KR 20190142095A · 2019 [cited by examiner]
WO WO2019084392A1 · 2019 [cited by applicant]
International Application No. PCT/US2021/022047, International Search Report and Written Opinion, mailed Jul. 1, 2021. [cited by applicant]
automation.omron.com—LD Series Autonomous Mobile Robots, Omron Corporation 2021 Retrieved from internet on Jun. 18, 2021: https://automation.omron.com/en/us/products/family/Id. [cited by applicant]
Konis, A novel circadian daylight metric for building design and evaluation, Building and Environment, 113:22-38 (2016). [cited by applicant]
Knoop et al., Methods to describe and measure lighting conditions in experiments on non-image-forming aspects, Leukos: The Journal of the Illuminating Engineering Society of North America, 15(2-3):163-79 (May 2019). [cited by applicant]
European Patent Application No. 21768618.7, Extended European Search Report, dated Apr. 4, 2024. [cited by applicant]