MCM-Meter-2.0

Se trata de un medidor energético desarrollado entorno al microcontrolador ESP32 (Adafruit ESP32 Feather) capaz de medir energía en sistemas domésticos monofásicos de 120 o 240 voltios (fase partida) monitoreando dos potenciales con un solo medidor de corriente (CT no invasivo) y un sensor de voltaje (PT), la información capturada se transmite a un servidor montado en una Raspberry Pi con Home Assistant que te permitirá monitorear los datos en tiempo real, desde un ordenador o teléfono móvil desde cualquier lugar del mundo.

English

It is an energy meter developed around the ESP32 microcontroller (Adafruit ESP32 Feather) capable of measuring energy in 120 or 240 volt single-phase domestic systems (split phase) monitoring two potentials with a single current meter (non-invasive CT) and a voltage sensor (PT), the information captured is transmitted to a server mounted on a Raspberry Pi with Home Assistant that will allow you to monitor the data in real time, from a computer or mobile phone from anywhere in the world.

Instrucciones para preparar el entorno de trabajo:

• Instalar el IDE de Arduino
• Instalar el paquete de tarjetas del ESP32 copiando este URL en preferencias del IDE: https://dl.espressif.com/dl/package_esp32_index.json
• Desplegar tu servidor en Home Assistant, Tutorial
• Clonar este repositorio
• Instalar las librerías ZIP adjuntadas
• Abrir el código de Arduino
• Modificar la variable Clavis con un Token de larga duración generado en tu Home Assistant
• Modificar la variable serverName con "http://(IP de tu Raspberry Pi):8123/api/states/sensor.medidor_ai", Ej: "http://192.168.100.7:8123/api/states/sensor.medidor_ai"
• Conectar tu ESP32 y cargar el programa en la placa

English

Instructions to prepare the work environment:

• Install the Arduino IDE
• Install the ESP32 card package by copying this URL in IDE preferences: https://dl.espressif.com/dl/package_esp32_index.json
• Deploy your server in Home Assistant, Tutorial
• Clone this repository
• Install the attached ZIP libraries
• Open the Arduino code
• Modify the Clavis variable with a long-term Token generated in your Home Assistant
• Modify the variable serverName with "http://(IP of your Raspberry Pi):8123/api/states/sensor.meter_ai", Ex: "http://192.168.100.7:8123/api/states/sensor.meter_ai "
• Connect your ESP32 and load the program on the board

Seguir el video tutorial para configurar el Home Assistant | Follow the video tutorial to configure the Home Assistant

• Recomiendo configurar una IP estática para tu Raspberry Pi en las configuraciones del Router.

• Copiar y pegar estos datos en el configuration.yaml:

• I recommend setting a static IP for your Raspberry Pi in the Router settings.

• Copy and paste this data in the configuration.yaml:

influxdb:
  host: a0d7b954-influxdb
  port: 8086
  database: homeassistant
  username: homeassistant
  password: *********** (aquí poner una clave)
  max_retries: 3
  default_measurement: state
  
sensor:
  - platform: rest
    name: Medidor AI
    json_attributes:
      - corriente
      - voltaje
      - potencia
      - energia
      - fp
      - bateria
    resource: http://(IP de tu Raspberry Pi):8123/api/states/sensor.medidor_ai
    value_template: "OK"
  - platform: template
    sensors:
      bateria:
        friendly_name: "bateria"
        value_template: "{{ state_attr('sensor.medidor_ai', 'bateria') }}"
        unit_of_measurement: "V"
      corriente:
        friendly_name: "corriente"
        value_template: "{{ state_attr('sensor.medidor_ai', 'corriente') }}"
        unit_of_measurement: "A"
      voltaje:
        friendly_name: "voltaje"
        value_template: "{{ state_attr('sensor.medidor_ai', 'voltaje') }}"
        unit_of_measurement: "V"
      potencia:
        friendly_name: "potencia"
        value_template: "{{ state_attr('sensor.medidor_ai', 'potencia') }}"
        unit_of_measurement: "W"
      energia:
        friendly_name: "energia"
        value_template: "{{ state_attr('sensor.medidor_ai', 'energia') }}"
        unit_of_measurement: "KW/h"
      fp:
        friendly_name: "fp"
        value_template: "{{ state_attr('sensor.medidor_ai', 'fp') }}"