Reading the thread I think there is some
potential confusion ...
Hence the whole story in short below:
1. the GW1000, GW1100, GW1200, GW2000, GW3000 - all Ecowitt consoles with the local Ecowitt API, the binary local API for which the weewx local API driver is there, can handle all existing Ecowitt sensors with the exception of a WS85, a WH46 and a WH54 (LDS01) sensor.
2. If you also want to include the WS85, WH46 and LDS01 sensor, you need to use the local http API for which an experimental weewx version exists (EcowittHttp driver) or an extended Interceptor driver.
3. You can connect to a console all
available sensors and sensor arrays in type and number following
the compatibility matrix:
https://meshka.eu/Ecowitt/dokuwiki/doku.php?id=start#b_console_-_sensor_-_maximum_number_and_display_tables
4. if you have multiple sensors for the same observation (rain,
wind, outdoor temperature and solar) connected, the console
applies a priority scheme called sensor hierarchy
https://meshka.eu/Ecowitt/dokuwiki/doku.php?id=start#sensor_hierarchy
that means you don't need special observation assignment via
StdCalibrate or a Field Map extension - the console has already
preselected - the other multiple occurrences are discarded by
the console. You cannot have the wind data from WS68 and WS90
(or WS69 or WS85 or WS80) at the same time with one and the same
console. If you want this, you need a second weewx instance fed
by a console which is connected to the respective arrays and
excludes the not wanted data (disable sensor in the console
configuration)
What @Michael is describing are two weewx instances, only not
two weewx databases - an interesting approach which obviously
works.
5. You can have traditional a rain (a WS69/WH65 outdoor array or a WH40 or a WN20) in parallel with a haptic (piezo) rain sensor (WS85, WS90). If you want to store both in the weewx database, you have to either create a new database column in the wview_extended database schema or repurpose an existing field (e.g. hail and hailRate); then you have to assign the p_rain and p_rainRate to the hail and hail_rate database fields either via StdCalibrate or a Field Map extension.
6. As long as no WH46, WS85 or LDS01 is
used, the binary local Ecowitt API driver 0.6.x is good enough
7. if you want SD card or Ecowitt Cloud backfilling at startup,
the new (still experimental but 99% working) Ecowitt_http driver
will be needed.
Long story short:
the OP (@Vetti52) can use the "old" (binary) local Ecowitt API driver for his purpose as no backfill is needed, and if he also wants to see the rain history data from his WH65 outdoor array (from the WH2910 clone), in his report (skin) and not only as current data, he will have to archive the p_rain and p_rainRate data separately from the t_rain and t_rainRate data.
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correct,
the WS85 restriction applies to the GW1000 and WH2650/2680 only
- all other consoles (e.g. GW> 1100) with local API can also
receive and process a WS85.
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Thank to all of you for your most valuable input. The only thing, that makes me sad, is, that Vince describes the piezo rain sensor as „horrible“. That is, because I bought this sensor array to improve the rain data, especially, when rain is drizzling.Michael‘s approach of one Weewx instance, one database and two gateways is promising to me. I would, instead of two GW2000, implement one GW1000 clone and one GW3000. As far as I can understand, I could collect all data in the GW3000 already. But, as I want to continue measuring the living room temperature and humidity, which are actually provided by the GW1000, I prefer to use both gateways. I would then read the data from WH65 clone through GW1000, as is, and in addition the data from WS90 through the new GW3000.
Then the task of Weewx is, to merge the data into one database and present them, a little more sophisticated as I have it now in a regular seasons skin.My aim is, to merge the rain data in a similar way, as Michael did it with the wind data in his example. So, when there is no rain from WH65 but from WS90, the piezo rain data should be used instead, otherwise the data from WH65. Don‘t know, if this would work not only for wind, but also for rain data?
I have done this myself. I have a separate picture for each rain
sensor and a combined summary picture ...
As of temperature, I would collect both sensor data, as is could be interesting to see differences at 6m od 2m AGL. Humidity I would ignore from 6m AGL data. I have an extra temperature/humidity sensor in a shack near by, which is currently collected from GW1000. Should I move this to the new GW3000, just in case, I want to save the data on a SD card lateron?
There's not should. That's your choice. But, yes you could register it to your GW3000.
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And, second, I would like to see the this sum in the allTime table (https://github.com/glennmckechnie/alltimeSeasons), I have integrated into my Season skin. As far as I can look into it, this is a small version of the fuzzy-archer skin, Michael has used, right
in its first release in 2020)
attributes
Yes, It's a simpler version and because of that origin timing it won't have any of the extras that the latest version of fuzzy-archer may have / has added.
I added an extra totals column, changed some colors, then packaged it as an installable skin (per weewx style), and that's about it. Anything else would need to be adapted from the current fuzzy-archer and incorporated into it, or a new fork.
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I have not gone into detail with the sensivitiy discussion of the different rain sensors yet.
My starting point is the alltimeSeasons skin, where the last table says „Days with Rain“. I did not try to find out, how @Glenn did the calculation, and how to define it. But, as he wrote above, he takes the rain data from the NOAA tables. My observation is, that the threshhold is 1mm per day.
In my example, it was a perfect day to be defined as day with rain, even without considering the thunderstorm in the early morning hours. This would only be represented using the data from the piezo sensor. However, the NOAA tables are filled with ‚rain‘ data, which come from the tipping sensor only. So, at the current situation, staying with the tipping sensor‘s data for ‚rain‘ only, reamins suboptimal for me.
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