https://github.com/whatnick/din_wemos_atm90e26_upy
Micropython code to run on the DIN rail dual ATM90E26 module.
https://github.com/whatnick/din_wemos_atm90e26_upy
Last synced: about 1 month ago
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Micropython code to run on the DIN rail dual ATM90E26 module.
- Host: GitHub
- URL: https://github.com/whatnick/din_wemos_atm90e26_upy
- Owner: whatnick
- Created: 2018-01-24T04:54:58.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-09-24T04:49:18.000Z (over 6 years ago)
- Last Synced: 2025-02-10T15:32:14.826Z (3 months ago)
- Language: Python
- Size: 175 KB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Micropython Firmware for DIN Rail Energy Monitor (ATM90E26/ATM90E36 and any future boards)
Micropython code to run on the DIN rail dual ATM90E26 module.
* Web Front End from [@john_newall](https://twitter.com/john_newall).
Works on both ESP32 and ESP8266, better on ESP32 due to better RAM and CPU resources. Please read John's [excellent article](https://www.johnnewall.com/article/microcontroller-website-energy-monitor/) on web design with limited resources.
* Micropython Energy Monitor inspiration from [@shenki](https://twitter.com/shenki).
His [presentation at PyconAU2017](https://2017.pycon-au.org/schedule/presentation/69/) inspired me to make this port and dive into the wonderful world of Python on microcontrollers, FPGA's and everything else.
--------------------------
### Setup
If you would like to build your own micropython image please follow the ESP32 micropython instructions
[here](https://github.com/micropython/micropython/blob/master/ports/esp32/README.md) or download a pre-built
one [here](http://micropython.org/download#esp32). [Windows Subsystem for Linux](https://blogs.msdn.microsoft.com/wsl/),
[Babun](http://babun.github.io/) or a VM is recommended for building on Windows.
The micropython packages can be baked in using instructions [here](https://docs.micropython.org/en/latest/pyboard/reference/packages.html#cross-installing-packages-with-freezing):
- `../unix/micropython -m upip install -p modules picoweb`
- `../unix/micropython -m upip install -p modules micropython-logging`
- ` ../unix/micropython -m upip install -p modules utemplate`
- `../unix/micropython -m upip install -p modules micropython-btreedb`
- `../unix/micropython -m upip install -p modules micropython-btree`
After firmware is built push it onto the ESP32 as below (I did not add my user to dialout, hence the sudo):
- ` sudo esptool.py --port /dev/ttyS10 write_flash -z 0x1000 build/firmware.bin`
### Loading Micropython code
For best performance this code uses a custom micropython image which can be obtained
[here](https://drive.google.com/file/d/0B7PX_Donnye2ZjB5cWd1X0NpOTFhQ29BT3pjdC1rYXdkRG5v/view).
This image has picoweb and a few modules **frozen** to minimise runtime RAM footprint.
Flash this image and copy over the required Python, HTML, CSS and JS files for the web application
using the serial thunking approach developed by [mpy-utils](https://github.com/nickzoic/mpy-utils).
The **mpy-fuse** is particularly useful for copying over the large selection of files which form this project.
On Windows Subsystem for Linux **mpy-sync** is a viable but slower alternative for copying files via terminal.
A sample **mpy-sync** command is shown below:
`sudo mpy-sync --port /dev/ttyS10 DIN_Wemos_ATM90E26_upy/`
**NOTE: For mpy-sync to work it needs to access the REPL, ensure any running code is stopped and the ESP32 is in REPL mode before
attempting to sync code**
### Running
The code base is composed of multiple runnable python files. The main.py is designed to get basic functionality going,
additional experiments can be performed by pressing **Ctrl+C** in the micropython console and switching to another main
function.
### IoT Servers
The sample code here is targeted to self-hosted [Graphite](http://graphite.readthedocs.io/en/latest/install.html). Recommended method for installing and running with all the dependencies in place is a docker image on Linux and Vagrant on Windows. Alternative IoT data hosts are:
- AWS IoT
- EmonCMS
- Thingspeak
- Blynk
- and many many more ....