- Role
- Academic group project, connected systems
- Timeline
- 2021 to 2022
- Type
- Academic project, connected systems
- Stack
- LoRaWAN, MQTT, Node-RED, Python, Dash
The problem
The project investigated collecting and visualising fill-level measurements from public waste bins in Moers.
What we built
A prototype pipeline connects sensor messages to processing and dashboard views. The README explains the communication protocols; source folders contain Node-RED flows and Python Dash applications.
My role
An academic group project during my master's, in a public repository on my GitHub. The repository does not record who wrote each component.
How it fits together
- Sensor / LoRaWAN
- The Things Network / MQTT
- Node-RED processing
- Python Dash visualisation
The hard part
Making a physical measurement useful across several communication and software layers.
Where it stands
Public prototype code and system documentation. No city-wide deployment or operational result is claimed.
What I took from it
A useful dashboard starts well before the screen: transport, processing and interpretation all shape what it can communicate.
Sources and scope
Source: public project README and source tree. The project is an academic prototype.
