Example accompanying the paper "Towards Smart Traceability"

This is the code for the example given in section 3 of the publication "Towards smart traceability for digital sensors and the industrial Internet of Things".

What the example is about

The example replays data recorded from a Smart-Up Unit to which an MPC-9250 multi-sensor is connected. The stream is fetched and processed in an agent-framework. The pipeline adds input quantization uncertainty, makes the stream equidistant and deconvolves the signal with the (stabilized) inverse sensor transfer behavior. Finally, the result is plotted in the web-based dashboard of the agent-framework.

Requirements (Linux)

The following steps assume that you are using a Linux-machine with git and python3. Furthermore, we assume that you store git-repos inside ~/git_repos and python (virtual) environments in ~/python_envs. Clone the repo, setup a new virtual Python environment and install the dependencies:

# clone
cd ~/git_repos
git clone https://github.com/Met4FoF/towards_smart_traceability_example.git
cd towards_smart_traceability_example

# create and activate new python environment
python -m venv ~/python_envs/towards_smart_traceability_example
. ~/python_envs/towards_smart_traceability_example/bin/activate

# install dependencies
pip install -r requirements.txt

Download the utilized dataset from Zenodo. The download size is ~170MB, but the extract archive will take up ~4.2GB.

cd ~/git_repos/towards_smart_traceability_example/data
wget ...
tar ...

How to run the example

Start in simulation of the Smart-Up Unit:

cd ~/git_repos/towards_smart_traceability_example/code
. ~/python_envs/towards_smart_traceability_example/bin/activate
python simulate_board.py

In a second window, start the agent-network by:

cd ~/git_repos/towards_smart_traceability_example/code
. ~/python_envs/towards_smart_traceability_example/bin/activate
python agent_network.py

You can now open a browser to see the dashboard at [http://localhost:8050].

Simple modifications of the example

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