Metadata-Version: 2.1
Name: Microfire_Mod_ORP
Version: 0.9.0
Summary: Add the ability to measure ORP to your hardware application with a fully digital interface.
Project-URL: Homepage, https://microfire.co
Project-URL: Bug Tracker, https://github.com/u-fire/Mod-ORP/issues
Author-email: Microfire LLC <contact@microfire.co>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Description-Content-Type: text/markdown

Mod-ORP
=======

> [Datasheet](https://docs.google.com/document/d/1nhQdt0k4pQb8jUJF8Eyrj9TyxYFNImvvaVTNkO53OXs/export?format=pdf) 📜

Add the ability to measure ORP to your hardware application with a fully digital interface.

#### Summary ℹ️

*   mV range of -2.23 to 2.23
*   Accuracy ±0.1 mV
*   Resolution 0.1 mV units
*   I²C interface
*   25x15 mm for castellated or DIP mounting
*   Single point calibration

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### Use

*   [I²C Arduino Library Documentation](https://docs.google.com/document/d/13sLx5fBFMYVtQZ6cg3jBWCgiaeiubcsgKoJJmuxM8O8/export?format=pdf)
*   [I²C Raspberry Pi Python Documentation](https://docs.google.com/document/d/1JjTey6BQPm-2TxjqOIvsrB8zkZyR7c_umFtVTHxnRkQ/export?format=pdf)

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### Design ✒️

Adding a module to your own design is straightforward. You'll need:

1.  bus connection to your controlling device (I2C, UART, USB)
2.  clean, preferably isolated, power supply
3.  probe connection (U.FL, BNC, terminal block)

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### Ask a question 🤙

*   [Discord](https://discord.gg/rAnZPdW)
*   [questions@microfire.co](mailto:questions@microfire.co)

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### Website
[microfire.co](https://microfire.co)