Points of interest and an opportunity to use GitHub Actions
Why Build a Custom POI Map? Sometimes, you just need a simple tool to save and display locations on a map — think of it as the digital version of pins on a map on the wall. While tools like Google Maps with My Maps can handle this easily, using a common solution takes away the fun of building something yourself. More importantly, privacy concerns with Google services make them less appealing for personal use. So, I took this as an opportunity to create my own mapping solution for points of interest (POI), tailored to my needs and fully under my control. Project Requirements For this project, I defined a few core requirements: Implementation Working with map data can be challenging, and simple tools like Streamlit weren’t flexible enough for my needs. The next best option was Dash, a Python framework for building web applications, combined with Dash Leaflet for…
Water monitoring
Conserving resources is an important topic and always worth pursuing. The current energy prices and inflation just add a higher monetary incentive for everyone to make more effort. I took this as a trigger to see if and how much water, especially warm water, I can save in my household. As with all improvement projects, you need to know your current baseline before you can measure any improvements. The nice, but impractible solution Ideally, I would want a continous measurement of my water usage, so every change can be tracked. The usual analog water meters are not ideal for this task, but it is not too complicated to set up an ESP32 with an ESPcam to digitize the meters. A little bit of machine learning to detect the numbers and the spinning wheel will give very precise readings throughout the whole day. Unfortunately, this setup is not practible as I…
home climate V1
In 2018, a colleague mentioned to me that he found a nice CO2 monitor with an undocumented but open USB connection. On Github, vfilimonov wrote a nice python package to decode the USB connection and show the measured data on a website. From this starting point on, I experimented with further sensors and a more complex data acquisition, storage and visualisation. The current state is an experimental setup running on a Raspberry Pi 3B+. Several sensors are connected to test and compare them. Connected sensors are: TFA Dostmann AirCO2ntrol Mini CO2 Monitor Two DHT22 temperature and humidity MH-Z19 IR absorption CO2 sensor 0-5000ppm TSL 2561 light intensity sensor BMP280 digital barometer The monitoring system in the configuration as used in the following. Raspbian Buster runs from an old SSD that also stores programs and databases (black cable with two USB port because the Pi cannot supply enough current). The white…
Homeserver Power Monitoring
As mentioned in the introduction to the homeclimate monitoring project, I run a small unRAID homeserver with a couple of disks to provide some services in my local network. Besides monitoring the server itself with the TIG stack (Telegraf, InfluxDB, Grafana), it is also interesting to monitor power consumption to find out what the server costs aside from the initial cost for the hardware. Self-made solutions operating on mains voltages is always tricky and the potential risks are large. Luckily, there are a number of cheap and easy commercial options. I opted for the “TP-Link Kasa smart plug HS110” which is available online for typically less than 20€. The HS110 can monitor voltage, current, power and turn on/off the integrated outlet remotely. It also has smart home feature (e.g. Alexa skills, Google Assistant, IFTTT) but I don’t need nor want those. Still, it is one of the cheapest and also…