b2d: Asset Localization using Bluetooth Low Energy
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b2d is a prototype project for asset localization using bluetooth low energy beacons.
In a warehouse, mechanic workshop or another large facility localizing assets can be a time-consuming task. Our project aims to simplify finding movable tools and other objects and thus save valuable working time.
To use the system and for trying the prototype, we have installed 3 embedded beacon devices (e.g. particle argon boards) in a room. We then simulated a lost tool by a raspberry pi. The raspberry pi, here called the reader, continously measures the signal strength to the beacons.
The measurements are sent to the backend where an ingestion to an InfluxDB and the positional calculation is performed via a trangulation algorithm. Finally, the backend displays the approximate location on an exemplary factory blueprint.
Try it out yourself and feel free to reuse any of our work under the MIT license.
Instructions for the backend
Start with the backend server with:
npm install npm start
For example, start the container with:
docker run -p 8086:8086 -v $PWD:/var/lib/influxdb influxdb
Instructions for the Python Reader (the asset)
cd reader/python python -m venv .venv source .venv/bin/activate pip install -r requirements.txt
Perform scanning requirements from https://github.com/citruz/beacontools#installation
source .venv/bin/activate python reader.py