![](data:image/jpeg;base64,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)
![](/images/stories/scale/uwe_1705g.jpg)
UWE 1705 Floor Scale with a flourescent display, all metal construction. High resolution 1/ 120.000 . Multi point calibration and linearity correction up to 6 point ensuring highest accuracy. It is an ideal Floor scale for all heavy applications.
Features
|
Model : 1705
|
Capacity : 300kg up to 20.000 kg
|
Readability : 0.1kg up to 10 kg
|
Safe overload : 150%
|
Ultimate load : 400%
|
Platform material : Mild steel , Stainless steel.
|
Plattorm size : 1m x 1m, 1,5m x 1.5m, 2m x 3m , available custom sizes.
|
Power supply : 220V AC
|
UTP mini printer connection available. |
A built-in RS 232 interface comes standard.
Specification
|
A/D conversion : rate 10 times / second. |
Exitation : 5V. |
Zero Adjustment range : - 20mV to + 20 mV
Full span range : 0.24mV/V to 4 mV/
Sesitivity : 0.1µV to 100 µV per display resolution.
Options
• RS 485 (this intewrface and RS 232 can not co exist)
• Analog output 4-20mA / 0 to 5V/V / 0 to 10V/V (select one of them).
• BCD signal output (TTL or open collector).
|
|