Last modified December 2, 2020
Beta and Gamma Radiation Data in Madrid in Real Time
Yes, the graph that you can see below, except for unexpected problems, has been generated right now, in real time. Look at the hours.
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There is a web page where you can see various charts. can you see her clicking here.
Next, I will tell you how the detector works.
After having my detector Geiger finished and working, the next step is to send this radioactivity information to the network. Furthermore, it so happens that I have not been able to find a single station in Madrid on the internet sending Beta / Gamma radiation data in real time, so this may be the first station in Madrid to send this type of data (and I'm excited, because it is difficult to be the first in something on the internet today :-))
The Geiger counter I have built has a serial port through which the detected radiation data is transmitted every 15 seconds. This has made things much easier, since all I have had to do is provide it with "something" that reads them and sends them to my home automation system and the network.
As on other occasions, I have used a NodeMCU with the ESPEASY firmware. This time there was no ESPEASY plugin to read the serial output of my Geiger counter, but it was not very difficult to adapt another existing plugin to read them.
The new device reads the serial output of the Geiger counter, processes it to extract the specific data of Pulses Per Minute and sends this data through MQTT to my broker.
Send to Radmon with Node-Red
A node in Nore-Red receives the radioactivity data sent by the device and forwards it to Radmon.org. Radmon.org is a site where hundreds of volunteers around the world send, in real time, the data obtained by their detectors to facilitate their visualization, generation of graphs, etc.
The "Build Radmon url" function is very simple and it simply builds a url, following the Radmon API specifications with my username, password and the last measure.
Saving data to InfluxDB
Another node of Node-Red inserts the data in an InfluxDB database which allows me, later, to create graphs of this data in Grafana.