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--- user:jan001:intro_iot_tasmota_nig [2021/10/11 12:36] – jan001
+++ user:jan001:intro_iot_tasmota_nig [2023/03/28 15:21] (current) – [Doing stuff] rolf.becker
@@ Line 64: / Line 64: @@
 Allons-y!
+==== DS18B20 Pinout ====
+  * Cable VErsion: red -> 3.3V , blue -> GND , yellow -> data (1wire protocol)
+  * Breakout board version: "+" -> 3.3V , "-" -> GND, out -> data
 ==== Breadboard prepartion ====
 So get all your stuff together and build up the breadboard. Here is the schematic. If your Programmer has male headers, you can plug it directly into the breadboard. {{ :user:jan001:intro-iot_bb.png?600 |}}
+<WRAP center round alert 60%>
+\\
+The data line of the 1Wire bus (blue) \\ is not connected correctly in the diagram above!
+</WRAP>
 ==== Installing the Tasmotizer ====
@@ Line 142: / Line 151: @@
 ==== Making a graph ====
-I hope yall have read the article and followed the steps there. You are going to need it.
+I hope yall have read the article and followed the steps for setting up your NIG. You are going to need it.
 === Node-Red ===
@@ Line 150: / Line 159: @@
 return { payload: temperature };
 </code>
-First we create a value ''%%temperature%%''. The messages between all the nodes in Node-Red have the raw values in a key called payload. So we access
+First we create a value ''%%temperature%%''. The messages between all the nodes in Node-Red have the raw values in a key called ''%%payload%%''. So we access the message with ''%%msg%%'' then in this JSON object we access the object called ''%%payload%%''. This has the message in it we found earlier in the console. So we can access the object ''%%DS18B20%%'' and last the key ''%%Temperature%%'' to get the sensor value. We then pack everything in our own little message object with just the raw number value as a payload. This will be returned, so send to the next node.
+The last node we need is the ''%%influxdb out%%''-node. Attach this to the output of the function node. Here you just need to select your influxdb and give the measurement a name that is easily distinguishable. I choose ''%%lab_temperature%%''. You can now deploy your flow by selecting ''%%Deploy%%''. Your flow should look something like this:
+{{ :user:jan001:screenshot_from_2021-10-11_12-48-19.png?600 |}}
+=== Grafana ===
+We are nearly finished! Let's open up Grafana. Start with creating a new dashboard by hovering over "plus"-icon on the left side of the screen and select ''%%Dashboard%%''. Add a new panel. In the query-part select under ''%%FROM -> select measurement%%'' the value name you gave the measurement in Node-Red. Under ''%%SELECT%%'' remove ''%%mean()%%'' and put in ''%%distinct%%'', so you get a nice line graph. We can now do some more advanced stuff. We know that the lab temperature will always be in a range from 0 to 40 degrees. When we open up the tab ''%%Axes%%'' on the right side, we can set for ''%%Left Y%%'' (so the left Y-axis) the ''%%Y-Min%%'' to 0 and the ''%%Y-Max%%'' to 40. You can also change the name of the graph under ''%%Settings%%''-tab. Click ''%%Save%%'' and ''%%Apply%%'' if you are finished and that's it. Look at your nice little graph!
+{{ :user:jan001:screenshot_from_2021-10-11_13-26-49.png?600 | Graph}}
+I hope you learned something today!
 ===== References =====
@@ Line 161: / Line 176: @@
   - [[https://github.com/tasmota/tasmotizer|Tasmotizer - Jacek Ziółkowski - 2019]]
   - [[https://tasmota.github.io/docs/|Tasmota Community]]
+  - [[https://www.sensatio.io/sensors/dallas-ds18b20|Dallas DS18B20]]