Calculating the amount of water with auto upload from Flukso

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#1

My Flukso’s are registing the amount of cold and hot water used in my house.

If i upload this I can see some kind of value in the graph but thas noway near what flukso is showing.

What needs to done to get the right values in to the extended data so i cane calculate the COP for my heatpump boiler.

#2

The Flukso usually returns many gaps in the water sensor data, there isn’t much that can be done about this on the PVOutput side.

#3

The gaps in the data will then probably be caused by a sampling rate.
1 pulse for every 10 liters and that depends on the amount of water you use per minute. It may therefore be that there are several minutes to hours between pulses.

#4

I have contacted Flukso, this is there responce.

@Wizzopa Flukso is not uploading to PVoutput. Rather, PVoutput is fetching the sensor readings via the Flukso API at regular intervals. That same API is also used by the Flukso dash to visualize the readings. Not sure how PVoutput are processing the API data on their server. That’s their internal kitchen.

#5

PVOutput processes the data as it is provided by the Flukso API without modification.

The data returned by Flukso for sensor b714e8* is either 0 or NaN i.e. not a number.

REQUEST

curl -k -H “X-Token:xxx” -H “X-Version:1.0” “https://api.flukso.net/sensor/b71***4e8?interval=day&resolution=minute&unit=lpermin”

RESPONSE

At the start / middle it is mostly 0

[1517760300,0],[1517760360,0],[1517760420,0],[1517760480,0],[1517760540,0],[1517760600,0],[1517760660,0],[1517760720,1],[1517760780,1],[1517760840,2],[1517760900,1],[1517760960,1],[1517761020,1],[1517761080,2],[1517761140,0],[1517761200,0],[1517761260,0],[1517761320,0],[1517761380,0],[1517761440,0],`

At the end it is mostly Nan

[1517817840,"nan"],[1517817900,"nan"],[1517817960,"nan"],[1517818020,"nan"],[1517818080,"nan"],[1517818140,"nan"],[1517818200,"nan"],[1517818260,"nan"],[1517818320,"nan"],[1517818380,"nan"],[1517818440,"nan"],[1517818500,"nan"],[1517818560,"nan"],[1517818620,"nan"],[1517818680,"nan"],[1517818740,"nan"],[1517818800,"nan"],[1517818860,"nan"],[1517818920,"nan"],[1517818980,"nan"],[1517819040,"nan"],[1517819100,"nan"],[1517819160,"nan"],[1517819220,"nan"],[1517819280,"nan"],[1517819340,"nan"],[1517819400,"nan"],[1517819460,"nan"],[1517819520,"nan"],[1517819580,"nan"],[1517819640,"nan"],[1517819700,"nan"],[1517819760,"nan"]]