30 - 56
021579/06/09
Example:
meas. cycle
1 second
mean storing cycle 10 minutes
A mean value is calculated from 600 measuring values, and stored. The calculation of the mean
value is carried out as arithmetic mean with „normal“ sensors. Exceptions are the wind direction
(vectorial mean), and precipitation (formation of sums).
Remark:
When adjusting the measuring cycle the cycles of mean value memory and
extreme value possibly have to be corrected to an integral multiple!
The mean storing cycle influences the storing time period of the mean values (see following
for 9.1756.x0.000 without additional serial sensors (10 channels))
The
extreme storing value
cycle gives the time point when the extreme values are saved.
The extreme storing value cycle is selectable in 16 steps:
Minutes:
1, 2, 3, 4, 5, 6, 10, 12, 15, 20, 30
Hours:
1, 2, 3, 4, 6
The extreme value cycle influences the extreme value time period (see following
channels).
The storage period is the period of time until the old data are overwritten. The data logger has two
ring memories. Both time periods depend on the number of measured channels. Additionally the
time period of the mean value memory depends on the mean storing cycle set. The time period of
the extreme value memory depends similarly on the extreme storing value cycle set.
For other number of channels you can use the following formulas.
[ ]: means rounding down to integer
Calculation of quantity of mean ring memory dataset:
Quantity(Mean) =
[32768 / (5 + 2 * Channels)] * 47
Calculation of quantity of extreme ring memory dataset:
Quantity(Extreme) = [32768 / (5 + 8 * Channels)] * 16
Example with 20 channels :
Quantity(Mean) =
[32768 / (5 + 2 * 20)] * 47 = 34216 dataset
Quantity(Extreme) = [32768 / (5 + 8 * 20)] * 16 = 3168 dataset
That denote in this case the mean time period is 23.76 days (= 34216 / 1440) when the mean
storing cycle is 1 minute.
