ANAVI Fume Extractor is a smart, open source, solder smoke absorber. It is powered by ESP8266 with WiFi, 80 mm fan and supports various peripherals: mini OLED display, MQ-135 analog gas sensor for air quality, sensors for temperature, humidity, barometric pressure and light. The filters are replaceable.
Furthermore out the box the open source firmware of ANAVI Fume Extractor works with the popular IoT platform Home Assistant over the protocol MQTT. This means you can gather sensor data and control the fume extractor remotely using your smartphone, tablet or personal computer!
After more than 10 months of development we launched a crowd funding campaign at Crowd Supply! We are ready for manufacturing in Plovdiv, Bulgaria and now we need your support. We hope you’ll jump in and help us bring this entirely open source project to life!
In this article you will learn how to get started with ioBroker by installing it on a Raspberry Pi and after that how to measure temperature and humidity from the built-in DHT22 sensor on ANAVI Thermometer through the machine-to-machine protocol MQTT.
ioBroker Installation Guide
Only two steps are required to install ioBroker on GNU/Linux distributions, including on a Raspberry Pi with Raspbian:
After successfully installing ioBroker, open the web interface and complete the initial setup as explained in the video.
Monitoring Temperature and Humidity from DHT22 in ioBroker via MQTT
ANAVI Thermometer is an open source hardware, Wi-Fi development board for measuring temperature that’s powered by an ESP8266 processor. It comes with a built-in DHT22/AM2302 temperature and humidity sensor and has slots for a mini OLED display, waterproof DS18B20 temperature sensor, and empty slots for up to three additional I2C sensor modules. Out of the box, the open source firmware of ANAVI Thermometer, works with Home Assistant specification for automatic discovery and MQTT messages with JSON payload.
Although ioBroker is an alternative open source IoT platform, through an adapter it supports the Home Assistant specification. The process for using ANAVI Thermometer in ioBroker is straight-forward thanks to the adapters MQTT Client/Broker and HASS-MQTT.
Adapter MQTT Client/Broker can be configured either as MQTT broker or as a client mode and use an external broker. In the particular demonstration in the video the instance of ioBroker adapter MQTT Client/Broker has been configured as a broker, without username/password and with disabled publish check-boxes from the MQTT Settings tab.
Adapter HASS-MQTT is required to support the Home Assistant MQTT specification. It have to be installed separately and bound to the instance of adapter MQTT Client/Broker as shown in the video. Get the HASS-MQTT adapter from: https://github.com/smarthomefans/ioBroker.hass-mqtt
After turning on the instances of both adapters in Home Assistant, ANAVI Thermometer must be configured to connect to the same MQTT broker. After that ANAVI Thermometer will be automatically detected and the data from DHT22 as well as from any other attached supported sensors will be automatically reported to ioBroker. You just need to configure how to display it in your preferred graphical user interface (ioBroker offers several of them). In the video I used the ioBroker visualisation adapter which requires activation through an unique key. The activation requires registration with a email and is not shown in the video. Adapter visualisation if free for personal use. The other adapters, MQTT Client/Broker and HASS-MQTT are free and open source without any limitations.
How often do you get software or firmware updates for a 2-year-old device? Probably not very often. This is not the case for ANAVI Light Controller! We have a major update of its Arduino sketch for you.
ANAVI Light Controller open source hardware WiFi device for controlling a 12V RGB LED strip. It was brought to life through a crowdfunding campaign at Crowd in 2018. Now is January 2020, so this makes it ~2 years old! A lot of things have changed during this time. ANAVI Light Controller has been certified by Open Source Hardware Association (OSHA) and it now on sale at our distributors: Crowd Supply, Pi Supply and neven.cz.
Install Mosquitto MQTT broker from Hass.io add-on store, configure username and password as well as Access Control Lists (ACL).
From Configure > Integrations add new MQTT integration and click Enable discovery. It is mandatory to enable discovery!
Solder male to male jumper wires to Adafruit NeoPixel Ring and NeoPixel Stick.
Connect NeoPixel Stick DIN to LED1, GND to GND and 5VDC to VOUT on ANAVI Miracle Controller. Connect NeoPixel Ring Data Input to LED2, GND to GND and 5V DCPower to VOUT on ANAVI Miracle Controller.
Set the jumper of ANAVI Miracle Controller to 5V and use appropriate power supply to turn on the board.
Configure ANAVI Miracle Controller to connect to your local WiFi network, set LED type to NEOPIXEL, number of LEDs for LED1 to 8 and number of LEDs for LED2 to 12.
In Home Assistant web interface, a couple of new devices will be automatically added under the names ANAVI Miracle Controller LED1 and ANAVI Miracle Controller LED2. Set different effects and colors for each Adafruit NeoPixels.
How Does It Work?
ANAVI Miracle Controller combines open source hardware with free and open source software. It has been certified by the Open Source Hardware Association under UID BG000050. After initial configuration the default firmware of ANAVI Miracle Controller, available as an Arduino sketch in GitHub, connects to the WiFi network and the MQTT broker. It sends a retained MQTT message with JSON payload containing description of the device. Home Assistant, thanks to the MQTT integration with enabled discovery, automatically receives the message and recognizes the device as MQTT Light component. As a result out of the box ANAVI Miracle Controller appears in the Home Assistant GUI.
Home Assistant is a popular open source platform for home automation. It is written in Python programming language and runs perfectly on Raspberry Pi 3 B/B+ or 4 B. Now, with the latest updates of the Arduino sketch for ANAVI Light Controller it is super easy to control 12V RGB LED strip from Home Assistant through your smartphone, tablet or personal computer.
Have a look at the video and follow the steps below to configure ANAVI Light Controller and change colors of 12V RGB LED strips from Home Assistant.
Install Mosquitto from Hass.io add-on store. Set username and password for login to Mosquitto. Set active Access Control Lists (ACL) for the username and launch Mosquitto (it is recommended to install SSH server prior this step).
Add MQTT integration in Home Assistant with enabled discovery (from Configuration > Integrations)
Attach the 12V RGB LED strip to ANAVI Light Controller
Turn on ANAVI Light Controller, connect to its WiFi Access Point (AP) and configure it through the captive portal. You must provide your WiFi credentials, MQTT server, username and password. After that ANAVI Light Controller will be automatically discovered by Home Assistant over MQTT.
Through Home Assistant change colors or effects of ANAVI Light Controller.
As soon as ANAVI Light Controller boots, after it has been configured, it connects to the WiFi network, after that to the MQTT broker and sends retained MQTT message with JSON payload that describes the device. Each ANAVI Light Controller has a unique MD5 ID based on the chip ID of ESP8266. The MQTT integration in Home Assistant discovers ANAVI Light Controller based on the received MQTT message. Thanks to the data in the JSON payload Home Assistant automatically configures the device as MQTT Light.
Home Assistant discovery is a user-friendly way for quickly adding new Internet of Things to the platform. Combined with MQTT and the default firmware for ANAVI Light Controller the process is straight-forward and anyone can do it in a few minutes.
ANAVI Miracle Controller is an open source hardware Wi-Fi development board powered by the ESP8266 and designed to control two 5 V or 12 V addressable LED strips simultaneously.
ANAVI Miracle Controller supports popular addressable LEDs including Neopixel, WS2811, WS2812B, TM1809, etc. It also has a dedicated slot for a mini OLED I²C display and slots for up to three additional I²C sensor modules. The default firmware is available at GitHub as an Arduino sketch implementing Home Assistant MQTT Light component.
Back in 2018 we created ANAVI Light Controller for low-cost 12V RGB LED strips. Inspired by a lot of people asking for open source hardware dev board for addressable LEDs strips we created ANAVI Miracle Controller.
ANAVI Light Controller is a certified open source hardware WiFi dev board for controlling a 12 V RGB LED strip. Furthermore it has 3 slots for attaching I2C devices, for example sensors for temperature, humidity barometric pressure, light, mini OLED display, etc.
The hardware required for Jonathan’s project includes a Raspberry Pi, ANAVI Light Controller, 12V RGB LED strip, appropriate power supplyies and appropriate lamp. Jonathan used IKEA Holmo floor standing lamp and placed RGB LED strips around a suitable tube inside it. The software requirements are JAVA 8 or above as well as an MQTT broker, for example the free and open source mosquitto.
ANAVI Gas Detector is an ESP8266-powered, open source, Wi-Fi dev board for monitoring air quality and detecting dangerous gases. In the previous blog post I have shared the exact steps how to assemble it. Now I will cover the straight-forward process for connecting it to your Wi-Fi network. It is very simple and takes less than a couple of minutes.
Step 1: Turn on ANAVI Gas Detector
When you turn on ANAVI Gas Detector for the first time, it will create its own Wi-Fi Access Point with the name ANAVI Gas Detector followed by a unique five character ID.
These characters are actually the end of the MD5 hash generated from the unique chip ID of the ESP8266 module. To avoid confusion, the same five characters are showed on the mini OLED display included in all kits of ANAVI Gas Detector.
Connect to the Wi-Fi access point created by ANAVI Gas Detector from your smartphone, tablet or personal computer.
Step 2: Captive Portal
Once you have connected to the Wi-Fi access point created by ANAVI Gas Detector, a captive portal will pop-up and guide you to the next steps. Click Configure WiFi as shown in the video.
Step 3: Configure
Select your local Wi-Fi network, enter a password (if it is not open), type in MQTT broker address, port, username and password.
By default, just for demo purposes, ANAVI Gas Detector connects to iot.eclipse.org with port 1883 and no username/password. This is a public MQTT broker just for demonstrations. It is highly recommended to install open source MQTT broker locally and connect ANAVI Gas Detector to it.
Optionally, you can also select a temperature scale. By default it is set to Celsius. Of course, Fahrenheit is also supported. To switch just type in fahrenheit.
Finally, when ready, just click Save. ANAVI Gas Detector will reboot and try to connect first to your Wi-Fi network and after that to the configured MQTT broker. If it experience problems connecting you will be asked to do the configuration again.
That’s it! The whole process requires just these three easy steps and takes less than a couple of minutes. No need to download & install any apps on your smartphone. If you don’t have a smartphone – you can do the configuration from your personal computer or a tablet.
One More Thing…
Once ANAVI Gas Detector is up and running, if you need to change the configurations, just press and hold the RESET button on the board for 10 seconds. Keep the RESET button pressed until the D1 indication LED on the board is blinking.
This way you will wipe out all configuration, reset ANAVI Gas Detector to factory default and you will be asked to connect it again to your Wi-Fi.