Using the analog output of an IR sensor, the revolutions of a Ferraris electricity meter are detected. The total meter reading (KWh) and current consumption (Watt) are displayed on an embedded web page and optionally published via MQTT. As visual feedback the blue LED on the Wemos D1 mini board blinks if the red marker has been detected. An embedded web server helps to adjust various parameters to fine-tune the sensor setup and also offers a simple RESTful interface to retrieve the meter reading. The total consumption reading and sensor settings are frequently saved to (pseudo) EEPROM to migate counter resets due to possible intermediate power failures.
- Wemos D1 mini development board
- TCRT5000 IR sensor board
- 5V (250mA) Power supply with micro USB plug
You don't have to use a Wemos D1 mini board. A NodeMCU or any other ESP8266 based development board will work just fine.
Since the low/high pulses generated by the widely used TCRT5000 sensor on D0 are not very reliable (e.g. multiple counts for single pass of the "red marker" on the ferraris disk) its analog output (A0) is used to automatically determine a suitable threshold value to detect the marker. This way you don't need to fiddle around with the small potentiometer on the sensor board to find the "right" trigger threshold for your specific sensor mounting setup.
While version 1.x was written and compiled with the Arduino IDE, version 2.x was developed with Visual Studio Code and the PlatformIO add-on. The later is more convenient for larger projects especially when you split your code across multiple files and are used to syntax highlighting and seamless Git integration. But of course you can still compile it with the Arduino IDE (see instructions below).
After you've downloaded Visual Studio Code and installed the PlatformIO add-on,
clone or download this repository to your pc or laptop, open the project folder
in VSC and edit the file include/config.h. Starting with version 2.x all settings
found in this file can also be set in the web interface of the Wifi Power Meter.
The only thing you need to set before you compile the firmware is the language
of the web interface which defaults to English. For a German user interface just
comment the line with LANGUAGE_EN at the beginning of the file.
To build and upload the firmware via USB to your Wemos D1 mini or NodeMCU just
click on the right arrow in the blue bar on the bottom of VSC. All necessary libraries
(see platformio.ini) will be downloaded automatically. Eventually you'll see
the upload starting in a terminal window. If it fails you probably need to adjust
the settings for port in plattformi.ini. The project was developed on a MacOS
which uses UNIX style devices names. On Windows you need to specify a COM port.
To compile and install the firmware with the Arduino IDE, you have to add support for ESP8266 based boards first using the boards manager. Then make sure, that the following libraries have been installed with the Arduino IDE library manager:
Since the Arduino IDE requires all files to be in one folder, you need to move
the header files from include to src. Then rename main.cpp to powermeter.ino
and finally the directory src to powermeter or the Arduino IDE will complain
that the name of the main source file does not match the directory where it is located.
Before you hit compile and upload, make sure that you've selected Wemos D1 R2 & mini
or whatever ESP8266 board you are using as the target platform under Tools.
Connect the 5V pin of the TCRT5000 sensor to 3.3V pin (not 5V!) of the Wemos board and its ground pin to GND. The analog output of the TCRT5000 sensor (A0) must be connected to the corresponding analog input (A0) of the Wemos. The Wemos can be powered with a small USB power supply (5V, around 250mA).
After the first power-up, the WifiManager
will create the access point WifiPowerMeter-XXXXXX (with no password) to connect
the Wemos D1 to your local WiFi network. If you've set your WiFi credentials
the ESP8266 will received an IP via DHCP (check serial debug message or your router).
Point your favourite browser to the IP. If you can establish a connection to the
embebbed web server, you can proceed mounting the sensor and the controller board
on your ferraris meter.
For mounting the TCRT5000 on your ferraris meter a little 3D printed case comes in handy. Thingiverse offers quite a few options like this one.
Since the firmware also supports OTA updates, you only need to flash your ESP8266 once before mounting in your meter cabinet.
Make sure that during the initial calibration phase (default 90 secs.), which is
triggered by Calculate Threshold, the ferraris disk is actually spinning fast
enough. The calculation of the IR sensor pulse threshold should be based on
at least two full revolutions with the red marker passing the IR sensor twice.
Turning on your oven or water kettle should help to speed up things. ;-)
After the initial and hopefully successful calibration cycle, you only have to
save the calculated threshold value with Save Threshold to switch the Wifi
Power Meter to normal operation. You can tune the threshold value and other
parameters under Expert settings, but you should be OK with the default settings.
In a last configuration step you have to set Turns per KWh under Settings
to the value of the Ferraris meter (the default value is 75) and sync the
current KWh reading of the meter with the setting Current Consumption of
the Wifi Power Meter.
I'm using MQTT (enabled under Settings) to pass the meter readings to Home
Assistant using its discovery
function but the Wifi Power Meter
also offers support for RESTful HTTP requests. Readings are available as JSON under
http://<IP>/readings. See restful.html as an example.
For debugging purposes you can activate UDP streaming of raw A/D readings from the
IR sensor to an InfluxDB
under Expert settings. Contiously visualizing the readings with Grafana
might help placing the TCRT5000 on your electricity meter to get better readings.
Note that InfluxDB version >=2 requires the Telegraf Socket Listener plugin to process UDP line protocol streams.
Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.
Copyright (c) 2019-2022 Lars Wessels
This software was published under the MIT license.
Please check the license file.