Weather Clock for Raspberry PI
This project is a dashboard for Raspberry Pi to display environmental weather data, rain radar, weather forecast, etc. on a connected LCD written in Python. The data is collected from local MQTT broker and also from Internet services.
Display
I used a 7inch IPS display with 1024x600 hardware resolution and HDMI input, which has a low power consumption of only 1-2 Watt which is predestinated for 24/7 operation. An RCWL-0516 doppler radar microwave motion sensor module is used to switch off the backlight when no motion has been detected for the last 10 minutes. This is for saving energy when nobody is in the room to watch the dashboard. The backlight is switched on automatically when motion is detected.
https://www.waveshare.com/wiki/7inch_HDMI_LCD
Raspberry PI
I use the Raspberry Pi Zero WH which has enough performance, a low power consumption and an HDMI connector. Also it is possible to connect it directly to the backside of the Waveshare display. Only a mini-HDMI (type C) to normal-HDMI (type A) cable is required. The whole system (RPI + display) can be powered over the USB connector and consumes in total a maximum of 4 Watt.
Software on the Raspberry PI
- Use a 16Gbyte SD card and install Raspberry Pi OS on it
- Configure graphics driver and resolution as described on https://www.waveshare.com/wiki/7inch_HDMI_LCD
- Configure a static IP within your WiFi network
- Activate SSH for remote configuration, SW update and maintainance
Install following packages used by the Python program:
- pip install python3-utils
- sudo apt-get install python3-pil python3-pil.imagetk
- sudo apt-get install python3-pip -y
- sudo pip3 install paho-mqtt
Weather Clock configuration
Please change following variables according to your location. The value for xmin and ymin can be determined with https://oms.wff.ch/calc.htm for a specific zoom level.
- longitude = "8.900"
- latiude = "48.800"
- timezone = "Europe/Berlin"
- zoom = 12
- xmin = 2148
- ymin = 1409
Please change following variables according to your MQTT settings:
- mqtt_user = "*********"
- mqtt_password = "***************"
- mqtt_broker_address = "192.168.xxx.xxx"
- mqtt_port = 1883
- mqtt_topic_pressure = "/483fdabaceba/pressure"
- mqtt_topic_outtemperature = "/483fdabaceba/temperature"
- mqtt_topic_outhumidity = "/483fdabaceba/humidity"
- mqtt_topic_intemperature = "/483fdabaceba/temperature"
- mqtt_topic_inhumidity = "/483fdabaceba/humidity"
Internet services used
- Tiles for the map background from Openstreetmap: e.g. https://tile.openstreetmap.org/12/2148/1409.png
- Rainviewer API: https://api.rainviewer.com/public/weather-maps.json
- Tiles for the rain radar as overlay from Rainviewer: e.g. https://tilecache.rainviewer.com/v2/radar/1636462800/256/12/2148/1409/2/1_1.png
- Actual weather and weather forecast from BrightSky (DWD open weaher data): e.g. https://api.brightsky.dev/weather?lat=48.80&lon=8.90&date=2021-10-18&tz=Europe/Berlin
The program
Execute the program with: python3 ./weatherclock_rpi.py
8 Oct 6, 2022
4 Jan 19, 2022
13 Jan 2, 2023
3 Apr 8, 2022
2 Dec 30, 2021
43 Nov 11, 2022
238 Jan 8, 2023
10 Dec 23, 2022
3 Apr 29, 2022
786 Jan 02, 2023
26 Dec 19, 2022
3 Jan 27, 2022
28 Dec 21, 2022
2 Feb 04, 2022
17 Dec 03, 2022
50 Dec 23, 2022
2.5k Jan 05, 2023
0 Mar 09, 2022
0 Nov 23, 2021
2 Jul 18, 2022
25 Dec 28, 2022
3 Aug 02, 2022
2 Jul 11, 2022
98 Dec 24, 2022
7 Mar 14, 2022
51 Nov 21, 2022
21 Dec 29, 2022
153 Dec 30, 2022
4 May 23, 2022
