Thorsten Erdmann schreef op 2020-03-30 15:34:
you are right (and I know) that with such a low resolution it is
difficult to draw sensefull data. But I want to understand what RRD
does. I think the aggregation is wrong:
If I sample the data every 5 minutes (1/12h) and get a single 1kWh
step in one of these 5 minute intervals then I get a peak about 0,3kW
in the dayly graph. But why? I get headache with these calculation. I
would say the formular is 1kWh / (1/12)h but that gives 12kW, which is
definitely wrong.
You feed 'something' to RRDtool and it will process it into 'something
per second'. That's how it works if you feed COUNTER values.
If you get an ever increasing value, as is usually the case from
electricity meters, then COUNTER is indeed the type to use. GAUGE may
provide a pretty (prettier) picture, but it is wrong. Gauge is when you
already have 'something per second'.
Make sure you understand kWh. It is >>>not<<< kilowatt _per_ hour. It is
a kilowatt _during_ an hour. In other words, it is 1000 Joule per
second, during 3600 seconds, thus 3,6 MJ. If you multiply by 3600000
during graph time (use a CDEF) then you will display J/s aka W.
If you have one 5-minute slot filled with 1 kWh, it is 1/300 kWh/s so I
expect to see a number close to 0,003333333... or 3m3333.... It may be a
bit different due to normalization. You also get a lot of slots with 0
or near 0. Over time this should average out. 12 slots, one having a
rate of 0,003333... and the rest 0, would average out to a rate of
0,00027777... valid during an hour. Yes, this is smaller, but that is to
be expected. After all, you did not use a kWh during 5 minutes, you did
it during an hour (or even longer amount of time). Dividing that same
kWh by 1 or even 2 hours does correctly result in a smaller average
rate.
If RRDtool is doing its job properly, and if your estimate of one 1 kWh
every few hours is correct, then you would end up with a few kWh a day,
still not many a week. You would get weird combinations such as
"mkWh/s". Sounds wrong, but it is, in a way, correct. Again: multiply
by 3,6M to get J/s, or Watt. Perhaps this makes more sense.
You start with 'weird jumps' because you have 1 interval filled with a
huge rate and then many intervals with zero rate. Over time this should
average out.
Example:
{1/300 0 0 0 0 0 0 0 0 0 0 0} could average out to 1/3600. The next
consolidated interval may look lke this:
{1/300 0 0 0 0 0 0 0 0 0 0 1/300} and averaged out it is 2/3600. Weird
peak? Not really, it makes sense.
Your real world will of course look much more complex than this
simplified example.
In the month graph, looking at days at a time, I expect to see less
jumping around. If not, try another version of RRDtool.
HTH
Alex
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