VEGA VEGADIF 65 Foundation Fieldbus User Manual
Page 49
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6 Adjustment with the display and adjustment module PLICSCOM
VEGADIF 65 • Foundation Fieldbus
36130-EN-130417
value. The limit value is 50 %. This function depends on the selected
linearization function and is only available with root extracted charac-
teristics.
The square root/bidirectional square root characteristics is very steep
at the zero point. This means that small changes in the measured
differential pressure cause big changes in the output signal. The leak
volume suppression stabilises the signal output.
The VEGADIF 65 has two internal totalizers. For both you can adjust
volume or mass as count function as well as separately the unit.
Proceed as follows:
1. Select, for example, menu item "Part sum counter".
Part sum counter
0.0000 10
00
gal
Modify settings?
2. Activate the function "Modify settings?" with [OK].
Part sum counter
▶
Effective pressure transmitter
Unit
3. Confirm with [OK] "Effective pressure transmitter".
Part sum counter
▶
Mass flow
▶
Volume flow
Without unit
4. Select the requested variable with [->] and confirm with [OK].
5. Select calibration unit of the effective pressure transmitter with
[->], for example m
3
/s and confirm with [OK].
Part sum counter
0 % = +0000
m
3
/s=
100 % = +0000
m
3
/s=
6. Edit with [OK] and set the requested values with [+] and [->].
7. Confirm with [OK] and jump back to the indication of the part sum
counter.
8. Select with [->] the unit of the sum counter, adjust the requested
unit with [->], for example m
3
/s and confirm with [OK].
The setting of the part sum counter is hence terminated, the counting
function is activated.
The procedure of the total sum counter is the same.
This function enables reading out parameter adjustment data as well
as writing parameter adjustment data into the sensor via the display
and adjustment module. A description of the function is available in
the operating instructions manual "Display and adjustment module".
Total amounts counter
and subtotalizer with flow
Copy sensor data