IP Library › Granted Patent US 12,540,891
Granted Patent B1
US 12,540,891 · App. 18/100,540 · Granted Feb 3, 2026

Method and apparatus for measuring extinction using an unmanned aerial vehicle

Inventors: Alexis Henry Clark (Owens Crossroads, AL); Steven Fiorino (Beavercreek, OH); Kevin Keefer (Centerville, OH)
Assignee: BlueHalo, LLC
G01N15/0637B64U10/14G01N1/2214G01N1/2273G01N15/02B64U2101/00G01N2001/021G01N2001/2291G01N2015/0046G01N2015/0681
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 12,540,891
App. No.
18/100,540
Granted
Feb 3, 2026
Kind
B1
Abstract

A method and apparatus used to determine atmospheric extinction coefficients in conjunction with an unmanned aerial vehicle are provided. The unmanned aerial vehicle may include a central body, at least one motor operatively connected to the central body, a condensation particle detection payload, and a data acquisition board including memory operatively connected to the data acquisition board, and a processor configured to generate extinction information.

Claims (514)

1 . An unmanned aerial vehicle comprising:

a) a central body comprising a first enclosure housing:

i. a flight controller configured to direct movement of the unmanned aerial vehicle;

ii. a navigation system configured to generate three-dimensional position information of the unmanned aerial vehicle in three-dimensional space; and

iii. a payload mounting interface;

b) at least one motor operatively connected to the central body with at least one respective propeller, wherein each motor is operatively connected to the flight controller;

c) a condensation particle detection payload mounted to the central body via the payload mounting interface, wherein the condensation particle detection payload is configured to generate first particle count information and first particle size information each including information regarding particles of sizes less than 10 microns; and

d) a data acquisition board operatively connected to the condensation particle detection payload configured to obtain the first particle count information and to determine first extinction information at one or more locations in three-dimensional space based on the first particle count information, by the steps of:

i. obtaining the first particle count information from the condensation particle detection payload; and

ii. determining first extinction information based on the first particle count information, wherein the first extinction information is determined by the formula:

β

e

,

s

,

a

(

λ

)

=

∫

r

1

r

2

Q

e

,

s

,

a

(

n

,

λ

,

r

)

⁢

π

⁢

r

2

⁢

d

⁢

N

⁡

(

r

)

r

⁢

ln

⁢

10

⁢

d

⁡

(

log

⁢

r

)

⁢

dt

≈

∑

i

=

r

min

r

max

Q

e

,

s

,

a

(

n

,

λ

,

r

i

)

⁢

π

⁢

r

i

2

⁢

d

⁢

N

i

r

i

⁢

ln

⁢

10

⁢

d

⁡

(

log

⁢

r

i

)

⁢

Δ

⁢

r

i

,

where β e,s,a (λ) are first wavelength-specific normalized extinction, scattering, and absorption coefficients, Q e,s,a (n, λ, r i ) are aerosol-constituent specific extinction, scattering, and absorption efficiency, and r is a modal radius associated with the first particle size information.

2 . The unmanned aerial vehicle of claim 1 , wherein the data acquisition board is further configured to determine first transmission information over a first distance based on the first extinction information.

3 . The unmanned aerial vehicle of claim 1 , wherein the data acquisition board is housed in the first enclosure.

4 . The unmanned aerial vehicle of claim 1 , wherein the data acquisition board is housed in a second enclosure mounted to the central body.

5 . The unmanned aerial vehicle of claim 1 , wherein the at least one motor comprises four motors, each of the four motors being operatively connected to the flight controller and having at least one respective propeller.

6 . The unmanned aerial vehicle of claim 1 , wherein the condensation particle detection payload is configured to generate the first particle count information by the steps of:

1. ingesting, by an inlet of the condensation particle detection payload, a first air sample at a first volumetric flow rate, wherein the first air sample comprises a plurality of atmospheric aerosol particles and a plurality of water vapor particles, and wherein the inlet is operatively connected to a wick of the condensation particle detection payload;

2. cooling, by a conditioner of the condensation particle detection payload enclosing the wick, the first air sample;

3. condensing, by the conditioner, the plurality of water vapor particles to form a plurality of liquid water particles;

4. heating, by an initiator of the condensation particle detection payload enclosing the wick, the first air sample and the plurality of liquid water particles to supersaturate the first air sample and heat the plurality of atmospheric aerosol particles;

5. enlarging, by a growth component of the condensation particle detection payload, the heated plurality of atmospheric aerosol particles;

6. recycling the plurality of liquid water particles to the wick; and

7. determining, by a detector of the condensation particle detection payload, the first particle count information associated with the first air sample based on the enlarged plurality of atmospheric aerosol particles.

7 . The unmanned aerial vehicle of claim 6 , wherein the first particle count information is measured between 5 nanometers and 2.5 microns.

8 . An unmanned aerial vehicle comprising:

a) a central body comprising a first enclosure housing:

i. a flight controller configured to direct movement of the unmanned aerial vehicle;

ii. a navigation system configured to generate three-dimensional position information of the unmanned aerial vehicle in three-dimensional space; and

iii. a payload mounting interface;

b) at least one motor operatively connected to the central body with at least one respective propeller, wherein each motor is operatively connected to the flight controller;

c) a condensation particle detection payload mounted to the central body via the payload mounting interface, wherein the condensation particle detection payload is configured to generate first particle count information and first particle size information each including information regarding particles of sizes less than 10 microns; and

d) a data acquisition board operatively connected to the condensation particle detection payload configured to obtain the first particle count information and to determine first extinction information at one or more locations in three-dimensional space based on the first particle count information, by the steps of:

i. obtaining the first particle count information from the condensation particle detection payload; and

ii. determining first extinction information based on the first particle count information, wherein the data acquisition board is further configured to determine first transmission information over a first distance based on the first extinction information,

wherein determining first transmission information comprises the steps of:

i. generating first optical depth information by the formula:

τ

⁡

(

z

1

,

z

2

)

=

∫

z

1

z

2

β

⁡

(

z

)

⁢

dz

.

where τ is first optical depth information, β(z) is a layer volume extinction coefficient, and z is a geometric height; and

ii. generating the first transmission information by the formula:

t

⁡

(

τ

)

=

e

-

τ

/

|

cos

⁢

θ

|

,

where t is the first transmission information, τ is the first optical depth information, and θ is a source angle of incidence upon a parallel plane.

9 . The unmanned aerial vehicle of claim 8 , wherein the first extinction information is determined based on the first particle count information and first particle size information.

10 . The unmanned aerial vehicle of claim 9 , wherein the first particle size information is generated by the steps of:

1. generating, by a first humidity sensor mounted on the unmanned aerial vehicle and operatively connected to the data acquisition board, first relative humidity information associated with a first relative humidity;

2. obtaining the first relative humidity information by the data acquisition board from the first humidity sensor; and

3. determining the first particle size information based on the first relative humidity information.

11 . The unmanned aerial vehicle of claim 10 , wherein the first particle size information is determined by the formula:

log

⁢

r

⁡

(

a

w

)

=

±

[

-

ln

⁡

(

N

⁢

D

⁢

2

⁢

π

⁢

log

⁢

σ

)

⁢

2

⁢

(

log

⁢

σ

)

2

]

1

/

2

+

log

⁢

r

M

,

where r(a w ) is a first humidity-altered radius value, ND is a normalized radius-specific particle number density per unit volume value, σ is a first standard deviation, and r M is a modal radius value for the first relative humidity information.

12 . A method for measuring extinction using an unmanned aerial vehicle comprising:

a. generating, by a condensation particle detection payload operatively connected to a data acquisition board, both of which are mounted on the unmanned aerial vehicle, first particle count information associated with a first volumetric particle density at the condensation particle detection payload;

b. generating, by a first humidity sensor mounted on the unmanned aerial vehicle and operatively connected to the data acquisition board, first relative humidity information associated with a first relative humidity;

c. transmitting, from the condensation particle detection payload to the data acquisition board, the first particle count information;

d. transmitting, from the first humidity sensor to the data acquisition board, the first relative humidity information;

e. storing, in memory operatively connected to the data acquisition board, the first particle count information and the first relative humidity information;

f. determining, by the data acquisition board, first particle size information based on the first relative humidity information, wherein the first particle size information is determined by the formula:

log

⁢

r

⁡

(

a

w

)

=

±

[

-

ln

⁡

(

N

⁢

D

⁢

2

⁢

π

⁢

log

⁢

σ

)

⁢

2

⁢

(

log

⁢

σ

)

2

]

1

/

2

+

log

⁢

r

M

,

where r(a w ) is a first humidity-altered radius value, ND is a normalized radius-specific particle number density per unit volume value, σ is a first standard deviation, and r M is a modal radius value for the first relative humidity information;

g. generating, by the data acquisition board, first extinction information based on the first particle count information and the first particle size information; and

h. transmitting, by the data acquisition board to an optical system, the first extinction information.

13 . The method of claim 12 , wherein the generating step a) further comprises:

i. ingesting, by an inlet of the condensation particle detection payload, a first air sample at a first volumetric flow rate, wherein the first air sample comprises a plurality of atmospheric aerosol particles and a plurality of water vapor particles, and wherein the inlet is operatively connected to a wick of the condensation particle detection payload;

ii. cooling, by a conditioner of the condensation particle detection payload enclosing the wick, the first air sample;

iii. condensing, by the conditioner, the plurality of water vapor particles to form a plurality of liquid water particles;

iv. heating, by an initiator of the condensation particle detection payload enclosing the wick, the first air sample and the plurality of liquid water particles to supersaturate the first air sample;

v. enlarging, by a growth component of the condensation particle detection payload, the heated plurality of atmospheric aerosol particles;

vi. recycling the plurality of liquid water particles to the wick; and

vii. determining, by a detector of the condensation particle detection payload, the first particle count information associated with the first air sample based on the enlarged plurality of atmospheric aerosol particles.

14 . The method of claim 13 , wherein the first particle count information is measured between 5 nanometers and 2.5 microns.

15 . The method of claim 12 , further comprising determining, by the optical system, first transmission information over a first distance based on the first extinction information, by the steps of:

i. generating first optical depth information based on the first extinction information by the formula:

τ

⁡

(

z

1

,

z

2

)

=

∫

z

1

z

2

β

⁡

(

z

)

⁢

dz

.

where τ is the first optical depth information, β(z) is a layer volume extinction coefficient, and z is a geometric height; and

ii. generating the first transmission information based on the first optical depth information by the formula:

t

⁡

(

τ

)

=

e

-

τ

/

|

cos

⁢

θ

|

,

where t is the first transmission information, τ is the first optical depth information, and θ is a first source angle of incidence upon a parallel plane.

16 . A method for measuring extinction using an unmanned aerial vehicle comprising:

a. generating, by a condensation particle detection payload operatively connected to a data acquisition board, both of which are mounted on the unmanned aerial vehicle, first particle count information associated with a first volumetric particle density at the condensation particle detection payload;

b. generating, by a first humidity sensor mounted on the unmanned aerial vehicle and operatively connected to the data acquisition board, first relative humidity information associated with a first relative humidity;

c. transmitting, from the condensation particle detection payload to the data acquisition board, the first particle count information;

d. transmitting, from the first humidity sensor to the data acquisition board, the first relative humidity information;

e. storing, in memory operatively connected to the data acquisition board, the first particle count information and the first relative humidity information;

f. determining, by the data acquisition board, first particle size information based on the first relative humidity information;

g. generating, by the data acquisition board, first extinction information based on the first particle count information and the first particle size information, wherein the first extinction information is determined by the formula:

β

e

,

s

,

a

(

λ

)

=

∫

r

1

r

2

Q

e

,

s

,

a

(

n

,

λ

,

r

)

⁢

π

⁢

r

2

⁢

d

⁢

N

⁡

(

r

)

r

⁢

ln

⁢

10

⁢

d

⁡

(

log

⁢

r

)

⁢

dt

≈

∑

i

=

r

min

r

max

Q

e

,

s

,

a

(

n

,

λ

,

r

i

)

⁢

π

⁢

r

i

2

⁢

d

⁢

N

i

r

i

⁢

ln

⁢

10

⁢

d

⁡

(

log

⁢

r

i

)

⁢

Δ

⁢

r

i

,

where β e,s,a (λ) are first wavelength-specific normalized extinction, scattering, and absorption coefficients, Q e,s,a (n, λ, r i ) are aerosol-constituent specific extinction, scattering, and absorption efficiency, and r is a modal radius associated with the first particle size information; and

h. transmitting, by the data acquisition board to an optical system, the first extinction information.

17 . The method of claim 16 , further comprising determining, by the optical system, first transmission information over a first distance based on the first extinction information, by the steps of:

a. generating first optical depth information based on the first extinction information by the formula:

τ

⁡

(

z

1

,

z

2

)

=

∫

z

1

z

2

β

⁡

(

z

)

⁢

dz

.

where τ is the first optical depth information, β(z) is a layer volume extinction coefficient, and z is a geometric height; and

ii. generating the first transmission information based on the first optical depth information by the formula:

t

⁡

(

τ

)

=

e

-

τ

/

|

cos

⁢

θ

|

,

where t is the first transmission information, τ is the first optical depth information, and θ is a first source angle of incidence upon a parallel plane.

Assignments (7)
CORRECTIVE ASSIGNMENT TO CORRECT THE RECEIVING PARTY DATA (ASSIGNEE) PREVIOUSLY RECORDED ON REEL 66100 FRAME 821. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 8, 2026
From: FIORINO, STEVEN; KEEFER, KEVIN
To: GOVERNMENT OF THE UNITED STATES, AS REPRESENTED BY THE SECRETARY OF THE AIR FORCE
Reel/Frame 075929/0299 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 4, 2025
From: FIORINO, STEVEN; KEEFER, KEVIN
To: GOVERNMENT OF THE UNITED STATES AS REPRESENTED BY THE SECRETARY OF THE AIR FORCE
Reel/Frame 073108/0825 →
ENTITY CONVERSION Recorded May 7, 2025
From: BLUEHALO, LLC
To: BLUEHALO, LLC
Reel/Frame 071219/0350 →
CORRECTIVE ASSIGNMENT TO CORRECT THE REMOVE THE SECOND AND THIRD INVENTORS PREVIOUSLY RECORDED AT REEL: 066073 FRAME: 0502. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jan 11, 2024
From: CLARK, ALEXIS HENRY
To: BLUEHALO, LLC
Reel/Frame 066273/0969 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 11, 2024
From: FIORINO, STEVEN; KEEFER, KEVIN
To: AIR FORCE INSTITUTE OF TECHNOLOGY
Reel/Frame 066100/0821 →
CORRECTIVE ASSIGNMENT TO CORRECT THE THE RECEIVING PARTY POSTAL CODE PREVIOUSLY RECORDED AT REEL: 065830 FRAME: 0880. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Dec 19, 2023
From: CLARK, ALEXIS HENRY; FIORINO, STEVEN; KEEFER, KEVIN
To: BLUEHALO, LLC; AIR FORCE INSTITUTE OF TECHNOLOGY
Reel/Frame 066073/0502 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2023
From: CLARK, ALEXIS HENRY; FIORINO, STEVEN; KEEFER, KEVIN
To: BLUEHALO, LLC
Reel/Frame 065830/0880 →
Continuity (1)
Provisional Application 63302381 · Jan 24, 2022
References Cited (34)
US 3465339A · Marner · 1969 [cited by examiner]
US 3665467A · Haroules · 1972 [cited by examiner]
US 5639954A · Crothers · 1997 [cited by examiner]
US 5639964A · Djorup · 1997 [cited by examiner]
US 9845165B2 · Michalski · 2017 [cited by examiner]
US 11703437B2 · Rostedt · 2023 [cited by examiner]
US 11879981B2 · Smolin · 2024 [cited by examiner]
US 20090257067A1 · Chapman · 2009 [cited by examiner]
US 20130314694A1 · Tchoryk, Jr. · 2013 [cited by examiner]
US 20190377093A1 · Wiebold · 2019 [cited by examiner]
US 20210125348A1 · Bose-Pillai · 2021 [cited by examiner]
US 20220091007A1 · Fan · 2022 [cited by examiner]
US 20240344955A1 · Jen · 2024 [cited by examiner]
CN 108693377A · 2018 [cited by examiner]
GB 1164688A · 1969 [cited by examiner]
KR 20170035769A · 2017 [cited by examiner]
KR 20210125821A · 2021 [cited by examiner]
RU 2735909C1 · 2020 [cited by examiner]
WO 1992004698A1 · 1992 [cited by applicant]
WO WO9204698A · 1992 [cited by examiner]
WO 1997033187A1 · 1997 [cited by applicant]
WO WO9733187A1 · 1997 [cited by examiner]
WO 2000007677A1 · 2000 [cited by applicant]
WO WO0007677A1 · 2000 [cited by examiner]
WO WO2012105973A1 · 2012 [cited by examiner]
WO WO2019012185A1 · 2019 [cited by examiner]
WO 2020257859A1 · 2020 [cited by applicant]
Tommaso Francesco Villa et al., An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives, Sensors (Basel). Jul. 12, 2016;16(7):1072. doi: 10.3390/s16071072… [cited by examiner]
Martin et al., Meteorological profiling of the lower troposphere using the research UAV “M2AV Carolo”,Atmos. Meas. Tech., 4, 705-716, 2011 www.atmos-meas-tech.net/4/705/2011/ doi:10.5194/amt-4-705-2011 (Year: 2011). [cited by examiner]
Alvarado et al., A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle, Sensors 2017, 17, 343; doi:10.3390/s17020343 (Year: 2017). [cited by examiner]
Sabatini et al., Novel atmospheric extinction measurement techniques for aerospace laser system applications, Infrared Physics & Technology 56 (2013) 30-50 (Year: 2013). [cited by examiner]
Santos et al., Unmanned Aerial Vehicle tracking using a Particle Filter based approach, Conference: 2019 IEEE Underwater Technology (UT), DOI: 10.1109/UT.2019.8734465, Apr. 2019 (Year: 2019). [cited by examiner]
Altstädter et al., An unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer. Atmos. Meas. Tech. Discussions 2014, 7, 12283-12322 (Yea… [cited by examiner]
Danilov et al., The System of the Ecological Monitoring of Environment which is Based on the Usage of UAV, ISSN 10674136, Russian Journal of Ecology, 2015, vol. 46, No. 1, pp. 14-19. © Pleiades Publishing, Ltd., 2015 (Y… [cited by examiner]
Cited By (3)
US 12,725,927 US 12,738,648 US 12,738,650