Extech Temperature Data Logger RHT50 Datenbogen
Produktcode
RHT50
Ordering Information:
RHT50 ............Humidity/Temperature/Pressure Datalogger
42299 ............3.6V Lithium Batery (pkg of 2)
42299 ............3.6V Lithium Batery (pkg of 2)
Specifications subject to change without notice.
Copyright © 2009-2011 Extech Instruments Corporation. All rights reserved including the right of reproduction in whole or in part in any form.
Copyright © 2009-2011 Extech Instruments Corporation. All rights reserved including the right of reproduction in whole or in part in any form.
www.extech.com
9/16/11 - R1
Features:
•
USB interface for easy set-up and data download
•
Selectable Atmospheric Pressure Units: psi, hPa, kPa, and bar
•
Selectable data sampling rate from 1 minute to 18 hours
•
User-programmable Min/Max alarm thresholds
•
Manual and Programmable start modes
•
Status Indication via Red/Yellow LED and Green LED
•
Long battery life
•
Complete with 3.6V Lithium battery, mounting bracket, and
Windows
Windows
®
98, 2000, XP, and Vista compatible analysis software
Records Humidity, Temperature and Atmospheric Pressure
Datalogs up to 10,000 readings with a user programmable sample rate
Humidity/Temperature/Pressure Datalogger
Specifications
Range
Resolution
Accuracy (%rdg+digits)
Temperature
-40 to 158°F
0.1°F/°C
±1.8°F (14 to 104°F)
±3.6°F (-40 to +14 and 104 to 158°F)
-40 to 70°C
±1.0°C (-10 to 40°C)
±2.0°C (-40 to -10 and +40 to 70°C)
Humidity
0 to 100%RH
0.1%RH
±3.5%RH
Air Pressure
13.7 to 15.2psi
0.1psi
950 to 1050hPa
0.1hPa
95 to 105kPa
0.1kPa
0.9 to 1.0bar
0.1bar
Datalogging interval
1 minute to 18 hours
Memory
10,000 points
Dimensions
5.1 x 1.1 x 0.98" (130 x 30 x 25mm)
Weight
1oz (20g)
Monitors Humidity, Temperature and Air
Pressure levels in clean rooms, warehouses,
storage rooms, freezers, shipping vans, and
water damage restoration
Pressure levels in clean rooms, warehouses,
storage rooms, freezers, shipping vans, and
water damage restoration
USB connector easily plugs into a computer
for data analysis
for data analysis