US 12,253,417 B2 · Multi-wavelength spectral thermometry based on mobile narrow-band window and optimization

Abstract

The present invention provides a multi-wavelength spectral thermometry based on mobile narrow-band window and optimization and belongs to the field of thermal radiation temperature detection. A continuous spectrum of a thermal radiation object is collected by a spectrometer; the spectrum of the thermal radiation object is denoised, windowed and standardized; the whole detection wavelength range is traversed within an appropriate narrow-band window; through comparison with windowed and standardized black-body radiation spectra at different temperatures in a corresponding spectral window, the temperature and emissivity distribution of the thermal radiation object is calculated with high accuracy without depending on emissivity model estimation, and high universality and noise resistance are achieved.

A multi-wavelength spectral thermometry based on mobile narrow-band window and optimization, comprising the following steps:

(1) collecting a continuous spectrum signal of a thermal radiation object by a spectrometer;
(2) performing radiation calibration on the spectrometer by taking a black-body furnace as a standard radiation source, collecting a relative spectral radiation intensity of a radiation object to be measured at each wavelength, and calculating a corresponding original spectral radiation intensity;
(3) denoising, windowing and standardizing the original spectral radiation intensity;
(4) calculating a temperature and an emissivity of the thermal radiation object;
and
(5) determining a concentration of the thermal radiation object according to the emissivity of the thermal radiation object,
wherein in step (1), the collected relative spectral radiation intensity Irel is expressed as:
I
rel
(
λ
i
)
=
A
⁢
D
⁢
C
⁡
(
λ
i
)
τ
,
i
=
1
,
2
,
3
⁢
…
,
m
(
1
)
in the formula, ADC is an electrical signal collected by the spectrometer, τ is a set exposure time during collection, λi is a central wavelength of a spectrum signal that can be received by each signal channel of the spectrometer, and m is the number of signal channels,
wherein in step (2), the emissivity of the black-body furnace is taken as 1, and the spectrometer collects a relative spectral radiation intensity Ib, rel of the black-body furnace at different temperatures, expressed as:
I
b
,
rel
(
λ
i
,
T
b
,
j
)
=
A
⁢
D
⁢
C
⁡
(
λ
i
,
T
b
,
j
)
τ
,
i
=
1
,
2
,
3
⁢
…
,
m
,
(
2
)
j
=
1
,
2
,
3
,
…
,
n
in the formula, Tb,j is a set value of the temperature of the black-body furnace, and n represents a set number of the temperatures;
and
the spectral radiation intensity Ib of the black-body furnace at a set temperature Tb,j is calculated by the following formula:
I
b
,
rel
(
λ
i
,
T
b
,
j
)
=
c
1
⁢
λ
i
-
5
[
exp
⁡
(
c
2
λ
i
⁢
T
b
,
j
)
-
1
]
⁢
π
⁢
i
=
1
,
2
,
3
⁢
…
,
m
,
(
3
)
j
=
1
,
2
,
3
,
…
,
n
,
wherein c1 and c2 are constants,
wherein in step (2), a method for calculating the corresponding original spectral radiation intensity is to express a relationship between the spectral radiation intensity I(λi, Tb,j) and the relative spectral radiation intensity Irel(λi, Tb,j) by the following formula:
I
⁡
(
λ
i
,
T
b
,
j
)
=
exp
[
[
a
i
,
1
a
i
,
2
a
i
,
3
…
a
i
,
p
+
1
]
×
[
1
ln
[
I
rel
(
λ
i
,
T
b
,
j
)
]
{
ln
[
I
rel
(
λ
i
,
T
b
,
j
)
]
}
2
⋮
{
ln
[
I
rel
(
λ
i
,
T
b
,
j
)
]
}
p
]
]
(
4
)
in the formula, p is a polynomial order;
for the same signal channel, the spectral radiation intensity Ib(λi, Tj) and the relative spectral radiation intensity Ib, rel(λi, Tj) of the black-body furnace at different temperatures are brought into the formula (4), replacing I(λi, Tb,j) and Irel(λi, Tb,j), respectively, and an undetermined coefficient α corresponding to the signal channel is obtained through least square fitting;
and the collected relative spectral radiation intensity Irel(λi, Tb,j) of the thermal radiation object to be measured at each wavelength is brought into the formula 4 to calculate the corresponding original spectral radiation intensity Iraw(λi, Tb,j).

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Multi-wavelength spectral thermometry based on mobile narrow-band window and optimization

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Multi-wavelength spectral thermometry based on mobile narrow-band window and optimization

Life of this patent

Abstract

Claims4