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Online Remote Outdoor Dust Monitor OPM-6303M

Online Outdoor Dust Monitor

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.
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  • 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


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 W202*H90*D125 (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.
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