Best Mqtt Broker For Home Assistant

Best Mqtt Broker For Home Assistant – Additionally, we store MQTT data to the InfluxDB database before creating beautiful real-time dashboards with Grafana.

Home Assistant is an open source home automation software that integrates almost all your smart home devices into one system. With the help of Home Assistant, you can control and change the devices that are not compatible with each other. Home Assistant runs on various platforms such as Raspberry Pi or local servers such as Synology Nas.

Best Mqtt Broker For Home Assistant

Best Mqtt Broker For Home Assistant

Amazon Alexa, Ecobee, ESPHome, Google Assistant, Google Cast, IFTTT, IKEA TRADFRI, MQTT, Philips Hue, Plex Media Server, Smartthings, Sonos, Z-Wave, Zigbee Home.

What Is Mqtt And How It Works

Basically, there are two different ways to set up a Home Assistant. The first step is to install on your Raspberry Pi as an operating system. Therefore, Raspbian Buster is not installed on the Pi. The second method is to install the Home Assistant through a Docker container.

For this tutorial, I assume you have Home Assistant running and have installed the following plugins via docker or the Home Assistant internal store:

For smart home automation, Home Assistant is not the only tool we want to use. We also need an external MQTT server to receive and send MQTT messages because the MQTT server built into Home Assistant has been removed. In this tutorial, we use Eclipse Mosquitto as a lightweight open source MQTT server.

In Home Assistant, measurements such as temperature can be viewed as time charts, but in my opinion these charts are not very attractive. Also, raw data is only stored for a certain period of time and not persistent. That’s why we use InfluxDB integration to store both MQTT and Grafana metrics to create beautiful time charts. I also used InfluxDB and Grafana without Home Agent to display the MQTT data in this article.

Home Assistant Rhasspy Server Satellite Issue

To work with MQTT data in the Home Assistant, we first need an MQTT client that sends data to the Mosquitto MQTT server. If you don’t know what MQTT is or how MQTT works, there is also an MQTT tutorial. In the previous tutorial, I build an indoor weather station that measures temperature, humidity and light intensity and sends readings every minute via the MQTT protocol to a Raspberry Pi with Mosquitto installed as an MQTT server. In my opinion, there is no need to copy this article here again. So, if you don’t have an MQTT client, you can create the same environment as I did in this article.

For Arduino documentation, you just need to make sure that some parameters are set correctly, as you can see in the following table:

The following table gives you an overview of all the components and parts I used in this tutorial. I receive a commission for purchases made through links on this site.

Best Mqtt Broker For Home Assistant

Before we can start viewing MQTT data in Home Assistant, we need to make sure that the data from the weather station is coming from Mosquitto. In Home Assistant there is a simple way to listen to MQTT content. Under the Developer Tools sidebar, you’ll find the MQTT app where you can temporarily subscribe to MQTT. In my case I defined the content of the Arduino code for the climate zone: home / bedroom / room. When I enter this and click the start registration button, I see that the Home Assistant can receive messages from the MQTT client.

Raspberry Pi Home Automation Part 3: Putting It All Together With Home Assistant

Now we need to configure the Home Assistant so that the system will always listen to one or more MQTT threads. This is why we need to change the configuration file of Home Assistant. The easiest way is to install another plugin in the plugin store called “File editor”. This software allows you to access and edit all files on the Raspberry Pi. Enable access to view the file in the sidebar editor.

Now we can access the files through the side menu and edit the Home Assistant configuration file. You need to click the folder button at the top and select the configuration.yaml file.

In this file we add a sensors section where we add all sensors regardless of platform. In our case, we define a sensor to be an MQTT sensor with a predefined header. Then the sensor gets a name and we define the measurement unit because MQTT transfers data as a string without units.

At this point in the tutorial, I will give you a bonus: We will not only increase the temperature of the weather station, but also increase the temperature of the CPU and GPU of the Raspberry Pi and the clock speed.

Setting Up Mqtt & Mosquitto In Home Assistant

There are many ways to change sensors in Home Assistant. If you want to go deeper into this topic, I recommend reading the Home Assistant article.

In most cases, new sensor data should appear on the dashboard. But you can also customize the dashboard with new metrics. Click on the three small dots in the upper right corner of the screen and select “Change User Language”.

Now you can add new dashboards, add metrics and change the layout. If you click again on the three small dots, you will see a button where we can see all the unused articles. Click this button to view all the documents that are not displayed on the dashboard.

Best Mqtt Broker For Home Assistant

You should see the measurements we added earlier in the sensors section of the Home Assistant configuration file. For me, I want to fix the temperature on the table. You can select one or more unused ones by clicking on the orange + button at the bottom right of the screen. Based on our idea, the Home Assistant knows the dimensions we have chosen and we receive suggestions on how to display these dimensions on the dashboard. You can add dimensions to the board with the “Add to Lovelace UI” button or you can choose another map.

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In my case I want to select a different map and select different views and select a history graph. When you click on the map you get a lot of options as you can see on me on the history graph. I can remove or add units, select a title and define how many hours in the past the graph should show the price. Screen preview is a great feature of Home Assistant.

The 35 page Microcontroller Datasheet Playbook contains useful information about 14 Arduino, ESP8266 and ESP32 microcontroller boards.

Now we don’t want to show the temperature of the weather station to Home Assistant, but we want to save the data to InfluxDB. To store data in the database we need to do the following three things:

First we create a database in InfluxDB. So enter InfluxDB through the sidebar and go to the Admin section.

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In the same section we create a new user with a home username and password. In my case I also use home assistant as a password.

To access the MQTT data in the Home Assistant, we need to edit the configuration file with the file editor. We add the following lines to the configuration.yaml file:

Because we installed InfluxDB on the same Raspberry Pi, the host is local → localhost. The port of all databases is always 8086 and we set the database name and user to be the home server. If you have chosen a different password, you must change it. In the content section we can define the documents we want to keep in the home support database. In this tutorial, I choose to store the temperature of the weather station. If you choose a sensor username with a blank space, you must replace the blank space with an underscore.

Best Mqtt Broker For Home Assistant

Now we need to make sure that the measurements are stored in the InfluxDB database. Open InfluxDB again and enter the survey section. In this section you can send SQL queries to the database. Yes there are many functions but in this tutorial we want to make sure that the data is stored and accessible by Grafana.

Useful New Mqtt Explorer Utility

There are many ways to add data to Grafana. In our case, we choose InfluxDB.

At the bottom of the page you can save and test your preferences. When everything goes well, we go back to the home screen and create a new dashboard.

We select a new question and now we can define the questions with a graphical interface or with a text editor. For me, from all the heat, I choose the bedroom_heat as a tree. To see it as a time series, I decide that the data should be divided by time and between the points in the database there should be a line definition.

Now I can save the view and view the chart on the Grafana dashboard. You can change the title or color of the table. There are many opportunities to play with data. Just try something other than my course

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