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Applied Data Sciences / AirTool
Portable Weather Meter

The AirTool is a high performance, battery powered, hand held, pocket size weather meter. It contains a barometer, thermometer and hygrometer. The unit can store data on its Data Flash card or it can send real time, polled weather sensor data to a PC laptop or desktop computer via its USB port.

The AirTool has a display for monitoring various readings and it has a 5 position navigation switch. It is also an ultra low power device. The unit operates from a standard +9 Vdc battery, external power jack or USB power.

NOTE: The AirTool is not waterproof so it must be shielded from direct contact with water.

The MSRP is US $279.00 which includes:
AirTool, 1 meter USB cable, 2 MByte Data Flash card and AC to DC power module.

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Contact Applied Data Sciences for any promotional pricing.

Photographs of AirTool

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To download the AirTool Operating Manual, click here.

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Features:
  • Barometer, Thermometer & Hygrometer sensors.
  • Size is 2½" x 1" x 5 ¼".
  • Factory calibrated laser trimmed sensors.
  • Unit can be field calibrated.
  • Sensors have copious ventilation slots.
  • Real time clock for data logging.
  • Logged data can be stored on a removable DataFlash card.
  • Selectable Metric or English units.
  • ON/OFF toggle switch to preserve battery life.
  • DC power available from three sources:
    • 9Vdc battery
    • AC/DC Power Module
    • USB data/power cable
  • LCD is 4 lines by 12 characters and 6 symbols.
  • 5 position control switch.
  • Calculates and displays on the LCD on a rotating basis:
    • Time
    • Date
    • Density Altitude
    • Air Density
    • Relative Air Density
    • Pressure Altitude
    • Oxygen Pressure
  • Device information can be polled by host PC.
  • All data sent via USB link is formatted and includes C/R, L/F to make raw data legible and easy to read.
  • Simple ASCII commands to poll AirTool using programs such as HyperTerminal

For additional information, please contact us at your convenience.  Copyright 2005 Applied Data Sciences, Inc. All rights reserved. May 2005. Applied Data Sciences assumes no responsibility for any errors which may appear in this document