TSI Incorporated DUSTTRAK DRX 8533, Руководство по эксплуатации и обслуживанию

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Appendix B
DRX Advanced Calibration
The advanced calibration method is employed to yield high size segregated
mass concentration accuracy for PM
1.0
, PM
2.5
, Respirable and PM
10
size
fractions. It involves two gravimetric measurements to obtain PCF and SCF.
The two gravimetric measurements can be done in sequence or in parallel,
depending on the gravimetric sampling device availability.
Option 1: Serial Gravimetric Calibration
When you have only one set of gravimetric sampling devices, the DustTrak
DRX advanced calibration can be performed in two serial steps. The
experimental setup is in Figure B-1a. The calibration steps are outlined
below:
Step 1: PCF Calibration

Install a PM
2.5
impactor at the inlet of the external gravimetric filter.

Co-locate and run the gravimetric sample and DustTrak DRX monitor
simultaneously to collect enough mass on the gravimetric filter.

Calculate the PM
2.5
mass concentration (PM
2.5_Grav
) from the gravimetric
filter based on the net mass collected on the filter, sampling time, flow
rate, and total liters of air sampled.

Read the DustTrak DRX monitor average PM
2.5
mass concentration
(PM
2.5_DRX
) from the screen or through TrakPro Data Analysis Software.

Calculate the new PCF
Old
2.5_DRX
2.5_Grav
New
PCF
PM
PM
PCF
 
.

Update the new PCF in user calibration settings.
Step 2: SCF Calibration

Install a PM
10
impactor at the inlet of the external gravimetric filter.

Co-locate and run the gravimetric sample and DustTrak DRX monitor
simultaneously to collect enough mass on the gravimetric filter.

Calculate the PM
10
mass concentration (PM
10_Grav
) from the gravimetric
filter based on the net mass collected on the filter, sampling time, flow
rate, and total liters of air sampled.

Read the DustTrak DRX monitor average PM
2.5
(PM
2.5_DRX
) and PM
10
(PM
10_DRX
) mass concentration from the screen or though TrakPro Data
Analysis Software.

Calculate the new SCF
Old
DRX DRX
DRX Grav
New
SCF
PM PM
PM PM
SCF












3
1
_ 5 . 2 _ 10
_ 5 . 2 _ 10
.