|Accuracy||±0.1°C, ±0.2% of reading over ambient range, 15 to 35°C|
|Range||-100 to +400°C|
|Speed||16 meaurements per second maximum|
|Dimensions||9.5''L x 6.5''W x 1.5''H|
|Weight||0.7 Kg or 1.5 lbs.|
|Requirements||Pentium class computer running Windows XP, 2000, 7 or 8. 10MB hard drive spacem CD-Rom drive and one|
|Interface||USB 2.0 (backwards compatible with USB 1.1)|
|Power Supply||5 volts DC at 100 mA, pwered by host computer or external supply|
|Inputs||7 sub-miniature Type T thermocouple sockets|
|Output||User selectible display formats, analog or digital readout, real-time graphics, ASCII-text file|
|Display||Celsius, Fahrenheit and Kelvin scales, Differential, MinMax & Normal modes. Alarm thresholds indepen|
Physitemp’s original Thermes high accuracy ISA based data acquisition system has been redesigned to create a more versatile USB model. The new system requires no internal connections to your computer and simply connects via an external USB port on your laptop or desktop computer. Two versions of the data acquisition system are available. The standard versions, THERMES USB, and THERMES-RF are connected to your computer USB port. Each unit will accommodate up to 7 type T thermocouple sensors and multiple Thermes units may be connected to the same computer for more thermocouple inputs. A high accuracy electronic cold junction compensation circuit maintains typical system accuracy of ±0.1°C over an ambient temperature range of 15 to 35°C. Individual offsets may be added to each input in software to facilitate individual calibration of each channel. For information on our wide selection of Type T Thermocouple temperature probes.
For customers who already have Dasylab no additional software is necessary. Recommended operating software is Dasylab Lite version 22. The Lite version provides all the necessary functions to display and store temperature data in digital and graphical formats in real time. Users may customize the display to suit their particular application. The Dasylab Basic version provides additional features for data manipulation and statistical analysis.