Online Outdoor Dust Monitor
OPM-6303MOPM-6303

Online outdoor particulate monitor OPM-6303M adopts a pump-suction sampling method, and has a solid and reliable metal structure with intelligent auto particle identification (API) technology which enable the measurement accuracy in different dust source scenarios. It can accurately and stably output PM2.5, PM10, TSP mass concentration. The built-in pretreatment heater and flow monitoring sensor to make sure the device can output stable values and no affect by the humidity of the outdoor working environment.

Product Inquiry

Features

5 in 1 integrated particulate monitor with heater, dust sensor, filter, flow sensor and pump
Concentration measurement of PM1.0, PM2.5, PM4.25(optional), PM10 and TSP
Linear correlation with β rays R² >0.9
Built-in high power industrial grade linear laser, accurate identification
Built-in pump and flow sensor for constant stable sampling
Built-in constant temperature pretreatment, suitable for high humidity environment
Cubic API technology for intelligent dust source identification and accurately measurement
Wide working temperature -30℃~70℃, suitable for extreme weather environment
Modbus RS485 output for online remote monitoring

Specifications

	CO2 Sensor CM1106-C
Operating principle	Laser scattering
Measurement range	0~30,000μg/m³
Output channels	PM1.0, PM2.5, PM4.25(optional), PM10 and TSP
Accuracy	PM1.0/PM2.5: ≤100ug/m³: ±10μg/m³, 100~1000μg/m³: ±10%reading PM10: ≤100μg/m³: ±15μg/m³, 100~1000μg/m³: ±15%Reading TSP (Note 1): ≤100μg/m³: ±20μg/m³, 100~1000μg/m³: ±20%Reading Condition: 0℃~40℃, 50±10%RH, calibration instrument: Met One
Time to first reading	≤ 8s
Data refresh time	1s
Sampling flow rate	1L/min
Working condition	-30°C ~ 70°C,0-95%RH (non-condensing)
Storage condition	-40°C ~ 85°C, 0-95%RH (non-condensing)
Power supply	DC 12V, ripple wave < 50mV
Working current	≤4.5A
Communication	RS485
Dimensions	W202H90D125 (mm)
Life span	≥3 years

Note 1: Use the traceability system for benchmarking with Wuhan Station. If there is measurement data discrepancy in other regions, need to do the coefficients correction according to the local dust particle distribution.