US 2026/0194441 A1Published application

Digital detection method for suspended particulate matter

AssigneeMicrojet Technology Co., Ltd.

InventorsHao-Jan Mou, Chin-Chuan Wu, Jian-Cheng Yu, Yu-Chun Kuo, Hong-Jia Chen, I-Shen Chang, Wei-Jen Chen, Chi-Feng Huang

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Abstract

A digital detection method for suspended particulate matter is disclosed and includes following steps: providing a particle sensor, wherein the particle sensor includes an airflow channel, a miniature pump, a laser emitter and a photodiode (PD). The miniature pump guides air having suspended particles toward a measuring region, and the laser emitter positioned orthogonal to the measurement region emits a laser beam, so as to generate scattered light. The scattered light is captured by the photodiode (PD) and transformed into an electrical signal. The photodiode uses a built-in digital algorithm to divide the electrical signal into N energy intervals. Numbers of the suspended particles are recorded cumulatively for each energy interval. A fine data distribution is formed for data processing and accumulation to calculate size of particles, total number of particles and concentration of the suspended particles for each particle size range (PM1, below PM2.5, and below PM10).

A digital detection method for suspended particulate matter, comprising steps of:

providing a particle sensor, wherein the particle sensor comprises an airflow channel, a miniature pump, a laser emitter and a photodiode (PD), wherein the miniature pump guides air having suspended particles toward a measuring region, and the laser emitter is positioned orthogonal to the measurement region and emits a laser beam, so that the suspended particles pass through the measurement region to generate scattered light, wherein the scattered light is captured by the photodiode (PD) and transformed into an electrical signal;
and
performing a digital algorithm by the photodiode (PD) as the suspended particles passing through the measurement region, wherein the digital algorithm is built-in and used to divide the electrical signal into N energy intervals, numbers of the suspended particles are recorded cumulatively for each energy interval, and equations for the digital algorithm are as follows:
PM
⁢
1
=
d
⁢
∑
b
=
0
b
=
b
⁢
1
+
PSD
⁢
_
⁢
Trim
N
⁡
(
b
+
PSD
Trim
)
*
s
⁡
(
b
)
3
PM
2.5
=
d
⁢
∑
b
=
0
b
=
b
2.5
+
PSD
⁢
_
⁢
Trim
N
⁡
(
b
+
PSD
Trim
)
*
s
⁡
(
b
)
3
PM
⁢
10
=
d
⁢
∑
b
=
0
b
=
b
⁢
10
+
PSD
⁢
_
⁢
Trim
N
⁡
(
b
+
PSD
Trim
)
*
s
⁡
(
b
)
3
wherein, S(b) represents a particle size threshold, N(b) represents a passing time of the suspended particles, and PSDTrim represents a compensation value for comparing a standard instrument particle distribution map with an actual detected particle distribution map, wherein each particle size range is calculated:
PM1 suspended particle number is the sum of the number of particles within the N1 digital calibration distribution intervals;
below PM2.5 suspended particle number is the sum of the number of particles within the N2.5 digital calibration distribution intervals;
and below PM10 suspended particle number is the sum of the number of particles within the N10 digital calibration distribution intervals, wherein N1 represents the digital calibration distribution intervals of PM1 defined from the N energy intervals, N2.5 represents the digital calibration distribution intervals of PM2.5 defined from the N energy intervals, and N10 represents the digital calibration distribution interval of PM10 defined from the N energy intervals, wherein data processing and cumulative data are used to calculate size of particles, total number of particles, and concentration of the suspended particles for each particle size range.

110 more elements

Abstract

Claims6