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https://github.com/hiper2d/smart-home-light-automation-in-python
Design of smart light network for home using Raspberry Pi, ESP8266 WiFi modules, and Python
https://github.com/hiper2d/smart-home-light-automation-in-python
angular12 esp8266 flask micropython raspberry-pi
Last synced: about 12 hours ago
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Design of smart light network for home using Raspberry Pi, ESP8266 WiFi modules, and Python
- Host: GitHub
- URL: https://github.com/hiper2d/smart-home-light-automation-in-python
- Owner: hiper2d
- Created: 2021-06-06T18:31:46.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-05-15T04:00:28.000Z (over 1 year ago)
- Last Synced: 2024-11-07T00:49:31.591Z (about 2 months ago)
- Topics: angular12, esp8266, flask, micropython, raspberry-pi
- Language: Python
- Homepage:
- Size: 1.72 MB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Smart light control system in home WiFi network
### Goals
* Design devices (hardware and firmware) that can be controlled over a web application in a home WiFi network
* Each device based on ESP8266 WiFi module
* Raspberry Pi 4 server to control devices and to host a web client
* So far, devices are RGB lights but I plan to add more types in the future. The next type is a sensor
### Project structure
* [Frontend](frontend/README.md) and [Backend](raspberrypi): Website in Angular 15 server by Python/Flask webserver hosted on Raspberry Pi server to control devices
* [Mosquitto](mosquitto/README.md): Mosquitto messaging queue for MQTT communication between
* [ESP8266](esp8266) firmware in MicroPython for devices
* SMD5050 RGB LED Strip Lights as controlled devices
* Electrical circuits and diagrams of devices
* Guidance of how to setup this all
This is how the web interface looks like for now:
# Build Images
To build docker images, install Docker, Docker Compose and run the following:
```bash
docker-compose build
```
You can update the image name for `backend` and `frontend` services with your DockerHub repository and push the images into your repo:
```bash
docker-compose push
```
Delete all existing containers and images:
```bash
docker rm -vf $(docker ps -aq)
docker rmi -f $(docker images -aq)
```
# Installation to Raspberry Pi
### Raspberry Pi
Just install clone the repository into some folder on Raspberry Pi and start it using `docker-compose`:
```bash
docker-compose up
```
It's required to install Docker and Docker Compose to Raspberry Pi and open the MQTT server port and Nginx frontend webserver port:
```bash
# Open Mosquitto ans Nginx ports:
sudo ufw allow 1883/tcp
sudo ufw allow 1883/udp
sudo ufw allow 8080/tcp
sudo ufw allow 8080/udp
```
# Prepare Development Environment
To work with this project as a programmer, you need to have Python 3, Node.js installed. You also need Docker and Docker compose
You can run it from Docker images. Use `--build` to rebuild igamges from the source code before ruggin:
```bash
docker-compose --build up
```
In this case the main UI is available at the port 8080
Or run only the Mosquitto server form a container. `frontend`, `backend` server can be started in a terminal or from IDE:
```bash
# from the project root directory
docker-compose up mosquitto
# from the frontend directory
ng serve --host 0.0.0.0 --port 80
# from the backend directory
python3 backend/website.py
```
In this case the main UI is available at the port 80
### ESP8266
1. Use the [official guide](https://docs.micropython.org/en/v1.14/esp8266/tutorial/intro.html) of installing MicroPython to a ESP8266. Finding a serial port may be tricky. Before connecting the ESP8266 to Raspberry Pi run the following:
```bash
ls -l /dev/ttyUSB*
```
2. Edit MicroPython scripts in the `esp8266` project's directory:
- *boot.py*: update `ssid` and `password` with your local home WiFi network name and password
- *main.py* update `mqtt_server` with your Raspberry Pi IP address in the home network
3. Copy all 4 files from the `esp8266` project's directory
# Circuit diagram
### List of components
1. 1 x ESP8266 NodeMCU development board
2. 1 x SMD 5050 RGB LED strip - 1
3. 3 x TIP120 NPN transistor
4. 3 x 180-240 Ohm resistor
5. 1 x Mini-360 DC-DC buck converter
6. 1 x 1N914 switching diode
7. 1 x 12V 3A power supply
# How this all Works
Diagram with no text explanation for now about the device register process:
