Photon does not get the values from DHT22

[Algoritmus]

Hello,

I have a Core and now a Photon as well. I have a working code on the Core for DHT22 to get the temp and hum data.

However, flash the same code and hook up the DHT22 to the Photon, I cannot get any data…

It is hooked up to D3, gnd and 3v3 pins.

Any idea? The code should work from Core on Photon as well as far as I know, right? or do I miss something ?

Many thanks in advance,
Algo

[JumpMaster]

This code works on the Photon without any issues and it’s non-blocking

piettetech/PietteTech_DHT

[Algoritmus]

Thanks for the reply. I am using this code, which is perfectly fine on core, but not delivering values from photon

[Rockvole]

Are you sure its not this issue :

Issues with converting float to string with sprintf

Hi, I’m trying to convert a float to a string so I can publish temperatures to Spark. However, it seems that sprintf will convert the number as a null. Searching this forum seems to indicate that this should work. Casting the variable as an int also works so it appears to be an issue with floats/double. ##Sample code void setup() { Serial.begin(9600); } void loop() { delay(2000); char t1[20]; sprintf(t1, "Value: %.02", (double) 55.21); Serial.println(t1); Spark.pub…

That's the reason my DHT22 is not reporting values right now.

[Moors7]

Try printing the values over serial, and see if that works for you? If so, then there’s likely another issue, whereby the one pointed out by @Rockvole is the best contender.

[Algoritmus]

This will be the issue, because i try to convert float to string and i get null. Thank you very much!!!

[Awake]

PLEASE do not use the idDHT22 library

[mdma]

Sorry about the float to string conversion in sprintf not working. Please see this thread for whent he fix is available and a workaround.

Issues with converting float to string with sprintf

I’m sorry this managed to work it’s way out of the 0.4.4 release. I’ve definitely fixed this and added an automated test so this shouldn’t happen again. The issue is here - https://github.com/spark/firmware/issues/576 The fix is in develop now, and will be rolled out with 0.4.5 Wednesday next week (2 Sept.)