Wemos D1 Mini weather station send max and average value

ESPHome
1

Hi, I have created my first DIY weather station with a Wemos D1 mini and ESPhome sucessfully. It has temperature and pressure (bmp820), anemometer (pulse_counter) and rain gauge (also with pulse_counter).
But I want to change a little bit the config because one of the use cases I want for the anemometer and rain gauge is to pick up the awning in case it starts raining or the wind speed is above 30km/h.
Right now I’m publishing values every 15/30s but i don’t want to flood home assistant to record all the values.
What i would like to achieve is to send the values for statistics let’s say every 10/15 minutes with the moving average filter, but also have instant values if the rain is greater than 0 or the wind speed is greater than 30km/h. Activate a binary sensor for this can also be a good option.
How can I achieve this?

Thanks in advance!

2
3

I have already read all the documentation in the sensor page, but i still can’t figure it out.

4

Hi can you share your product i also can not understand how to

5

Threshold helper in HA. You may create a template in ESPHome based on the raw sensor values; so your sensor has two values being produced

6

Hi
Thanks i know how to add the esp but can you share the component +the code + the connection schema ?

7

I used more or less this approach:

I willl paste my code later.

8

Here my code:

esphome:
  name: estacion-meteo-bat
  platform: ESP8266
  board: d1_mini

# Enable logging
logger:

# Enable Home Assistant API
api:

ota:
  password: !secret wifi_password

wifi:
  networks:
    ssid: !secret wifi_ssid
    password: !secret wifi_password

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Est-Meteo-Bat Fallback Hotspot"
    password: !secret wifi_password

captive_portal:

# Example configuration entry
i2c:
  sda: D2
  scl: D1
  scan: True

deep_sleep:
  id: deep_sleep_1
  run_duration: 12hours
  sleep_duration: 12hours
  
time:
  - platform: sntp
    timezone: Europe/Madrid
    on_time:
      # Every evening
      - seconds: 0
        minutes: 0
        hours: 21
        then:
          - deep_sleep.enter:
              id: deep_sleep_1
              sleep_duration: 12hours
  
# Example configuration entry
sensor:
  - platform: bmp280
    temperature:
      name: "Temperatura Exterior"
      oversampling: 16x
    pressure:
      name: "Presión Exterior"
    address: 0x76
    update_interval: 600s   
  - platform: wifi_signal
    name: "Estación Meteo WiFi"
    update_interval: 600s
  - platform: adc
    pin: A0
    unit_of_measurement: "%"
    name: "% Bateria"
    device_class: battery
    update_interval: 600s    
    filters:
     - multiply: 4.2
     - calibrate_linear:
          # Map 0.0 (from sensor) to 0.0 (true value)
          - 3.3 -> 0
          - 3.45 -> 5
          - 3.68 -> 10
          - 3.74 -> 20
          - 3.77 -> 30
          - 3.79 -> 40
          - 3.82 -> 50
          - 3.87 -> 60
          - 3.92 -> 70
          - 3.98 -> 80
          - 4.06 -> 90
          - 4.176 -> 100
  - platform: pulse_counter
    pin: D7
    unit_of_measurement: "km/h"
    name: "Velocidad del viento"
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT
    icon: "mdi:weather-windy"
    internal_filter: 500us
    update_interval: 30s
    filters:
      - multiply: 0.04    
#      - sliding_window_moving_average:
#          window_size: 5
#          send_every: 1
# As per the datasheet, a wind speed of 2.4km/h (1.4912 mph) 
# causes the switch to close once per second.  --> 0,04 * pulse/min      
# Radio 7cm / Diametro 14cm
# 1 vuelta = 0,439822971502571 m/s o 1,58336269740926 km/h
# o en factor 0,0263893782901543
  - platform: pulse_counter
    pin: D5
    unit_of_measurement: "mm/h"
    name: "Lluvia"
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT    
    icon: "mdi:weather-rainy"
    internal_filter: 500us
    update_interval: 30s
    filters:
      - multiply: 16.764
      - sliding_window_moving_average:
          window_size: 10
          send_every: 1
#   The  rain  gauge  is  a  self-emptying  tipping  bucket  type.  Each  
#   0.2794mm  of  rain  cause  one momentary  contact  closure  that  can  be  
#  recorded  with  a  digital  counter  or  microcontroller   interrupt input.      
#
1 Like
9

I reckon an “or” filter is the key to this…

You can have your base time based updates, but supplement that with pushing immediate values based on what you want.