You want to see everything going on in your smart home at one glance? Then you need a smart home dashboard! Smart home control systems like OpenHab and HomeAssistant usually offer nice ways to display important data about your smart home. What they do less well is display data over time or in more complex combinations. Instead Grafana is a great tool you can use to build awesome smart home dashboards independent of the smart home controller you are using.
Showcases Category: Raspberry Pi
Nimrod makes his own sourdough and wanted a way to track the temperature and humidity of the bread making environment. To do this he’s set up a system involving rtl_433 on a Raspberry Pi which live streams all of his home temperature/humidity sensor data into InfluxDB. Nimrod’s post is a full tutorial showing how to download and set up each of the programs used in the system, and how to view the data collected with InfluxDBs graphing system.
Whether you are looking for a little test bed or an always-on home dashbording system, the RaspberryPi is a great, affordable platform for the TIG-Stack. So let’s ride through all the necessary steps ‘From Zero to Awesome’ in less than one hour.
Read the story of the almost year-long journey (cough some other stuff cropped up…) I went on to make my steampunk vision a reality.
This article explains how in Grafana it is possible to define a variable for a dashboard and this variable can query the data source and use the returned list of values.
A quick look at why I moved my InfluxDB data away from one of my Raspberry Pi.
In this blog post I’ll elaborate how I managed to get long term data history for my home assistant setup with InfluxDB.
This article is not intended to explain in detail how an Ansible Playbook should work, but rather to be a good example following my first article on the subject. So for those who feel a little lost with what will follow, don’t panic, we will have the opportunity to come back to it in detail in a future article.
This Raspberry Pi IoT tutorial will create an IoT system that monitors sensors using InfluxDB, MQTT and Grafana. In more detail, we will build a system that reads data from the sensors. They send data to Moqsuitto, the MQTT intermediary. Then, InfluxDB reads in the Mosquitto and stores those readings. Then, Grafana connects to InfluxDB and produces graphics that visualize the data acquired by the sensors. All systems exchange data using MQTT.