Feature:
1. 10 in 1 Quality Monitor: This portable quality monitor tracks 10 crucial parameters simultaneously, including Ambient Environment Grade, CO2, PM1.0 2.5 10, particle count, HCHO, TVOC, temperature, humidity, and CO, providing a comprehensive overview of your indoor environment.
2. Advanced Multi Sensor Technology: Equipped with light beam particle, semiconductor, and humidity sensors, this indoor monitor delivers rapid, precise readings for CO2 concentration, PM2.5 levels, and TVOC emissions with reliable accuracy.
3. Visual & Audible Alerts: The handheld quality monitor features color coded indicators and audible beeps to instantly warn when thresholds are exceeded, helping you take prompt action to improve conditions.
4. Extended Battery Life: With a built in 2500mAh rechargeable battery and USB charging, this CO2 Monitor operates for up to 17 hours on a single charge, ensuring uninterrupted quality tracking.
5. Clear LCD Display: The PM2.5 monitor showcases all readings on a large backlit screen with auto adjusting brightness for optimal visibility day or night, displaying data like temperature, humidity, and Ambient Environment Gradeat a glance.
Specification:
Item Type: 10 in 1 Quality Monitor
Model: ZN MT80
Material: ABS
Battery: 1x2500mAh Rechargeable Battery (built in battery included)
CO2 Detection Range: 400 5000PPM, + 50+ 5percent PPM
TVOC Detection Range: 0 9.999mg m3, + 0.05mg m3
HCHO Detection Range: 0 19.999mg m3, + 0.05mg m3
PM1.0 2.5 10 Detection Range: 0 1000ug m³
Temperature Measurement Range: 0 50 celsius
Temperature Measurement Error: + 1 celsius
Humidity Measurement Range: 0percent 99percent RH
Humidity Measurement Error: + 5percent RH.
Package List:
1 x 10 in 1 Monitor
1 x Charging Cable
1 x User Manual
Note:
After the instrument is started, it will undergo an automatic calibration process for approximately 2 minutes. Once completed, no further calibration is required, and normal detection can begin. The product reaches its optimal state about 30 minutes after operation, at which point the data will be more accurate.
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