Moirai is the backend for the platform. It is developed as part of my scientific initiation project, named Plataformas de baixo custo para controle de processos (low-cost platform for process control), developed at CEFET-MG (Brazil) under the supervision of Prof. Dr. Valter Leite. The project was developed through a FAPEMIG scholaship.
It's meant to be installed in a computer near the plant, so it can be remote-controlled by Lachesis. It exposes a RESTful API that let's you configure the hardware, save tests and controllers, execute them and fetch the results in real-time or after the execution finishes.
Controllers for this platform are written in Python 3 and can use any librarie available in the computer where moirai is running. It already depends on NumPy and SciPy, as they are commonly used. This platform manages the hardware interfacing through the ahio libray, so extending it's hardware capabilities is a question of extending AHIO, which should be simple. Execution time, sampling time, input querying and output updating is managed by the application and let's you focus on your controller/model.
Use pip to install. This is a Python 3 application and won't run in Python 2.
Use pip install moirai or pip3 install moirai to install it. It also has
other dependencies not installable through pip, which can be installed by
running moirai --install --sudo. It will install MongoDB (or MySQL on
Raspberry Pi) and the Snap7 library. It's designed to work on Windows, macOS
(with Homebrew) and Linux (apt-get, dnf, yum and zypper).
If using the Snap7 driver on Windows, you may need to compile the driver yourself and copy it to /Windows/System32.
On macOS, using Homebrew, you can install with:
brew tap acristoffers/repo
brew install moiraiCopyright (c) 2016 Álan Crístoffer
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